Job Title: AI / ML Engineer Company: Turing Global India Job Category: Machine Learning Roles & Responsibilities: About the Role: Turing is seeking a Senior AI Systems Engineer with deep expertise in multi\-step agentic architecture to support a high\-impact, exploratory mathematics research initiative. In this role, you will bridge pure mathematics and technical execution, designing and deploying complex AI agents capable of reasoning through advanced scientific and mathematical workflows. Key Responsibilities * Design, build, and optimize multi\-step agentic workflows capable of multi\-hop reasoning, hypothesis generation, and technical validation. * Collaborate closely with mathematical researchers to translate complex, abstract proofs into structured technical specifications and automated pipelines. * Develop reusable architectural frameworks, tooling, and memory systems for STEM\-focused AI agents. * Evaluate and iterate on agent performance, ensuring high accuracy, reliability, and trace logic across execution steps. * Work in a fully remote environment. * Opportunity to work on cutting\-edge AI projects with leading LLM companies. Work Location: India Availability: Full time

Job Title: Robotics Engineer Company: Agnisys Technology Inc Job Category: Machine Learning Roles & Responsibilities: We are looking for a highly skilled and motivated Robotics Engineer to design, develop, test, and implement robotic systems and solutions that advance automation and innovation. The ideal candidate will have strong experience in hardware and software integration, control systems, and machine learning to contribute to high\-impact projects across industrial, consumer, or research domains. Key Responsibilities: * Design and develop robotic systems and components including mechanical structure, sensors, actuators, and controllers * Program, simulate, and test robots using platforms like ROS, MATLAB, or C\+\+/Python * Develop and implement control algorithms for path planning, object recognition, and obstacle avoidance * Collaborate with cross\-functional teams including mechanical, electrical, and software engineers * Troubleshoot and optimize system performance, including diagnostics and field testing * Prepare technical documentation, user manuals, and reports for both internal teams and stakeholders * Stay updated with latest trends and advancements in robotics, AI, and automation Shift: Day shift Work Location: In person Work Location: India Availability: Full time

Job Title: Game Developer Company: Omre Enterprises Job Category: Machine Learning Roles & Responsibilities: Job Description: Senior Game Developer / Lead Game Engineer Experience: 5–8\+ Years Department: Game Development / Technology \& Engineering Employment Type: Full\-Time Industry: Gaming, Interactive Entertainment, Mobile Gaming, PC \& Console Gaming Work Mode: On\-site / Hybrid Seniority: Senior / Technical Lead 1\. About the Role We are looking for an exceptional, highly skilled Senior Game Developer / Lead Game Engineer with 5\+ years of professional experience in designing, developing, engineering, and delivering high\-quality interactive gaming experiences. The ideal candidate must possess strong expertise in modern game engines, gameplay programming, 2D/3D game development, graphics programming, multiplayer systems, physics simulations, artificial intelligence, and game optimization. The candidate will be responsible for the complete game development lifecycle, from concept development and technical architecture to gameplay engineering, prototyping, production, testing, deployment, and post\-launch optimization. We are looking for a technically strong and creatively driven developer who can build immersive, visually impressive, scalable, high\-performance games for mobile, PC, console, and web platforms. 2\. Key ResponsibilitiesA. Game Development \& Engineering * Design, develop, and implement high\-quality 2D and 3D games. * Build engaging gameplay mechanics, game systems, environments, and interactive experiences. * Develop core game architecture, frameworks, reusable components, and gameplay systems. * Implement character controllers, movement systems, combat mechanics, animations, and interactions. * Develop game logic, AI systems, physics simulations, and environmental interactions. * Build prototypes, proof\-of\-concepts, and production\-ready game features. * Optimize gameplay systems for performance, scalability, and stability. * Translate game design documents into functional gameplay experiences. * Ensure clean, maintainable, modular, and reusable code. B. Game Engines \& Development Frameworks * Strong professional experience with Unreal Engine 5\.x and/or Unity 6\.x. * Work with Unreal Engine Blueprints, C\+\+, Unity C\#, and engine\-specific scripting systems. * Develop custom gameplay systems and engine extensions. * Work with rendering pipelines, shaders, materials, lighting, and visual effects. * Implement animation systems, skeletal meshes, character rigs, and state machines. * Integrate third\-party SDKs, plugins, and development frameworks. * Evaluate emerging game engine technologies and development tools. * Familiarity with Godot and other emerging game development frameworks is an advantage. C. 3D Game Development \& Graphics Programming * Develop immersive 3D environments, characters, objects, and interactive worlds. * Work with 3D models, meshes, textures, materials, and lighting systems. * Implement real\-time rendering, shadows, reflections, and visual effects. * Work with PBR materials, physically based rendering, and advanced shaders. * Optimize draw calls, polygon counts, memory consumption, and GPU performance. * Implement LOD systems, occlusion culling, and asset streaming. * Work with advanced rendering technologies such as Lumen, Nanite, and modern rendering pipelines where appropriate. * Ensure consistent visual quality across different hardware configurations. D. 2D Game Development * Develop 2D casual, arcade, puzzle, strategy, simulation, and action games. * Implement sprite animations, tilemaps, collision systems, and physics. * Develop UI interactions, transitions, scoring systems, and game progression. * Optimize 2D rendering and gameplay performance. * Create reusable frameworks for rapid game development. E. Multiplayer \& Online Game Development * Design and implement real\-time multiplayer gaming systems. * Develop client\-server architecture and network communication. * Implement matchmaking, player sessions, lobbies, and multiplayer synchronization. * Work with authoritative servers, replication, prediction, and lag compensation. * Develop cross\-platform multiplayer and cross\-play functionality. * Implement leaderboards, ranking systems, tournaments, and competitive gameplay. * Integrate online services, player authentication, and cloud\-based game data. * Optimize network performance, latency, and server reliability. * Implement anti\-cheat systems and multiplayer security measures. * Implement intelligent NPCs and enemy behavior. * Develop pathfinding, navigation meshes, behavior trees, and decision\-making systems. * Work with machine learning and AI\-assisted game development tools. * Implement procedural content generation and dynamic game environments. * Develop adaptive difficulty and intelligent gameplay mechanics. * Explore AI\-driven NPC interactions, dialogue systems, and dynamic storytelling. * Integrate generative AI tools into appropriate development workflows while maintaining quality and performance. * Implement realistic physics simulations and collision detection. * Work with rigid bodies, soft bodies, ragdoll systems, and physics constraints. * Develop character animation systems and animation blending. * Implement inverse kinematics (IK), motion matching, and procedural animation where applicable. * Integrate motion capture and animation assets. * Optimize animation performance across target devices. H. Mobile, PC \& Cross\-Platform Development * Develop and optimize games for Android and iOS. * Build games for Windows, macOS, and supported console platforms. * Implement cross\-platform game architecture and input systems. * Optimize CPU, GPU, RAM, battery consumption, and loading times. * Handle different screen resolutions, aspect ratios, and device configurations. * Implement platform\-specific SDKs, integrations, and services. * Manage game builds, packaging, deployment, and release processes. * Ensure compatibility across different operating systems and hardware generations. * Integrate game backend services and REST APIs. * Develop player authentication, profiles, inventory, and progression systems. * Implement cloud saves, player statistics, and leaderboard services. * Work with databases, caching, and real\-time data synchronization. * Integrate multiplayer backend services and dedicated game servers. * Implement analytics, telemetry, and player behavior tracking. * Ensure secure communication between game clients and backend services. * Implement in\-app purchases and virtual currency systems. * Integrate rewarded advertisements, interstitial ads, and other monetization formats. * Develop battle passes, achievements, missions, rewards, and progression systems. * Implement daily challenges, seasonal events, and limited\-time content. * Develop live operations (LiveOps) features and content update systems. * Integrate analytics and monetization SDKs. * Optimize player retention, engagement, and lifetime value. * Support A/B testing and data\-driven gameplay improvements. * Conduct gameplay testing, debugging, profiling, and performance analysis. * Identify and resolve crashes, memory leaks, rendering issues, and gameplay defects. * Perform CPU, GPU, network, and memory profiling. * Optimize frame rates, loading times, and rendering performance. * Collaborate with QA teams on functional, compatibility, regression, and performance testing. * Ensure stable builds and production\-ready releases. * Monitor post\-launch bugs and implement timely fixes. L. Collaboration \& Technical Leadership * Collaborate with game designers, 3D artists, animators, UI/UX designers, sound designers, QA engineers, and backend developers. * Translate creative requirements into technical implementation plans. * Review code and maintain engineering standards. * Mentor junior developers and support technical problem\-solving. * Estimate development effort and identify technical dependencies. * Maintain technical documentation and development workflows. * Participate in technical architecture discussions and development planning. * Blender. * Autodesk Maya. * Substance 3D Painter. * Photoshop. * PBR workflows. * Shader development. * Real\-time rendering and lighting. * Niagara and VFX Graph. Development \& Collaboration Tools 4\. Advanced \& Emerging Game Development Technologies * AI\-assisted game development and coding workflows. * Generative AI integration for game content and development pipelines. * Procedural generation of environments, levels, and assets. * Intelligent NPCs and AI\-driven character interactions. * Advanced real\-time rendering and graphics optimization. * Virtual Reality (VR) and Augmented Reality (AR). * Extended Reality (XR). * Cloud gaming and distributed game infrastructure. * Cross\-platform multiplayer and shared gaming ecosystems. * Motion matching and procedural animation. * Real\-time physics and destruction systems. * Automated gameplay testing and AI\-assisted QA. * Advanced game analytics and player behavior intelligence. 7\. Key Performance Indicators (KPIs) * Development Delivery: Successful completion of assigned game development milestones. * Code Quality: Maintainable, optimized, and reusable code. * Performance Optimization: Stable FPS, reduced loading times, and efficient memory utilization. * Bug Resolution: Reduction in critical defects and recurring gameplay issues. * Gameplay Quality: Smooth, responsive, and engaging gameplay experiences. * Multiplayer Stability: Reliable synchronization, low latency, and server stability. * Cross\-Platform Compatibility: Consistent gameplay and performance across supported platforms. * Release Management: Successful builds, testing, and production deployments. * Development Efficiency: Effective use of engineering resources and development tools. * Player Experience: Improved retention, engagement, and gameplay satisfaction. * Technical Innovation: Adoption of relevant emerging technologies and improved development workflows. * Post\-Launch Support: Timely updates, performance improvements, and issue resolution. 8\. Leadership \& Professional Competencies * Strong technical ownership and accountability. * Excellent problem\-solving and debugging capabilities. * Creative thinking and game design understanding. * Ability to work independently and collaboratively. * Strong communication and technical documentation skills. * Ability to work under tight production deadlines. * Passion for gaming, interactive entertainment, and emerging technologies. * Ability to mentor developers and contribute to engineering excellence. * Strong focus on product quality, performance, and innovation. We are looking for a highly capable game development professional who can go beyond basic gameplay programming and contribute to building technically advanced, commercially viable, and engaging gaming products. * Project management: 5 years (Required) Work Location: In person Work Location: MH, India Availability: Full time

Job Title: Advanced Data Scientist - Machine Learning Company: Eastman Job Category: Machine Learning Roles & Responsibilities: Founded in 1920, Eastman is a global specialty materials company that produces a broad range of products found in items people use every day. With the purpose of enhancing the quality of life in a material way, Eastman works with customers to deliver innovative products and solutions while maintaining a commitment to safety and sustainability. The company’s innovation\-driven growth model takes advantage of world\-class technology platforms, deep customer engagement, and differentiated application development to grow its leading positions in attractive end markets such as transportation, building and construction, and consumables. As a globally inclusive company, Eastman employs approximately 13,000 people around the world and serves customers in more than 100 countries. The company had 2025 revenue of approximately $8\.8 billion and is headquartered in Kingsport, Tennessee, USA. For more information, visit  www.eastman.com . Role Description Data Scientists at Eastman provide actionable insights using advanced analytics to help the company make better and faster decisions. Our centralized Data \& Analytics department is organized into specialized groups including Applied Statistics, AI/Machine Learning, Operations Research, and Generative AI. As an Advanced Data Scientist in the AI/ML team at Eastman, you will develop, implement, and operationalize predictive and prescriptive models using traditional machine learning and computer vision techniques to address business needs and deliver measurable value across diverse functions. You will collaborate with cross\-functional teams across manufacturing, technology, commercial, and business operations, translating complex challenges into practical and scalable machine learning solutions. This role will contribute to the continued growth of our data science capabilities in Hyderabad by applying technical expertise, sharing knowledge with team members, and following established engineering and analytical best practices. You will support the design, development, and adoption of new analytical capabilities, contribute to the evolution of machine learning solutions, and partner with stakeholders across the company to help deliver reliable, production\-ready models. Key Responsibilities * Design, develop, and deploy machine learning models using Python for applications including process optimization, predictive analytics, demand forecasting, computer vision, and decision support systems * Network across manufacturing, R\&D, commercial, and business functions to identify and collaboratively execute on high\-impact challenges solvable through machine learning techniques * Build production\-ready ML solutions within enterprise platforms (Databricks, Azure ML) including model training, endpoint deployment, and monitoring * Develop and maintain scalable, modular, well\-documented code following MLOps best practices including version control, logging and metadata standards, and CI/CD principles * Participate in code reviews and architectural discussions, applying established design and development practices to deliver high\-quality, production\-ready solutions * Collaborate with domain experts and stakeholders across a wide variety of domains to understand needs, integrate ML solutions into workflows, and deliver measurable business value * Communicate complex machine learning methodology, results, and business impact clearly to technical and non\-technical audiences through presentations, documentation, and visualizations * Stay current with advancements in machine learning, and apply them to solve business challenges * Support ML governance processes, risk assessments, and compliance with enterprise standards Work Location: Greater Hyderabad Area Availability: Full time

Job Title: Senior AI/ML & MLOps Architect Company: Persistent Systems Job Category: Machine Learning Roles & Responsibilities: Job Description About Persistent Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 26 sequential quarters of growth with $487\.6M in Q4 FY26 revenue, up 7\.8% Q\-o\-Q and 20\.0% Y\-o\-Y. Our 29,500\+ global team members, located in 21 countries, have been instrumental in helping the market leaders transform their industries. We received five awards at the ISG (Information Services Group) Provider Lens Awards 2026 and, for the second year in a row, were awarded the Growth Honor of the Year at the Everest Group Elevate 2026\. We are looking for an experienced AI/ML \& MLOps Architect to design and scale enterprise\-grade AI platforms on AWS. The role focuses on AWS SageMaker, MLOps, model lifecycle management, cloud\-native architecture, and production ML operations. You will lead AI platform modernization while enabling scalable ML, Generative AI, LLM, and RAG solutions across the enterprise. * Architect and implement end\-to\-end AI/ML and MLOps platforms covering model development, training, deployment, monitoring, governance, and retraining. * Design scalable model serving architectures supporting high availability, resilience, security, and cost optimization. * Lead MLOps transformation initiatives and establish enterprise AI engineering best practices. * Build and manage ML pipelines using AWS SageMaker and related AWS AI/ML services. * Design and implement CI/CD and CT (Continuous Training) pipelines for machine learning workloads. * Develop solutions for model monitoring, observability, drift detection, performance tracking, and automated retraining. * Architect cloud\-native AI solutions leveraging AWS services including SageMaker, Bedrock, EKS, Lambda, S3, Glue, and CloudWatch. * Support Generative AI, LLM, and RAG\-based application development initiatives. * Design scalable vector search architectures and AI knowledge retrieval solutions. * Establish governance frameworks for model lifecycle management, compliance, security, explainability, and responsible AI. * Collaborate with business stakeholders, data scientists, engineers, and leadership teams to define AI platform roadmaps. * Mentor engineering teams on AI engineering, MLOps, platform architecture, and cloud\-native development. * Drive performance optimization, cost efficiency, and operational excellence across AI platforms. * 8\-1-3 years of experience in Data Engineering, AI/ML Engineering, Platform Engineering, or Cloud Architecture. * Deep hands\-on expertise with AWS SageMaker (mandatory/deal\-breaker skill). * Strong experience with AWS Bedrock, EKS, Lambda, S3, Glue, CloudWatch, IAM, and other AWS services. * Expertise designing and deploying scalable MLOps platforms and machine learning infrastructure. * Strong experience with Python, PyTorch, machine learning frameworks, and model development workflows. * Hands\-on expertise with Docker, Kubernetes, containerization, and orchestration technologies. * Experience implementing CI/CD, Continuous Training (CT), and Infrastructure as Code (IaC) practices. * Strong knowledge of model deployment, model serving, monitoring, observability, and governance frameworks. * Experience with model drift detection, model evaluation, retraining strategies, and production ML operations. * Understanding of Generative AI, LLMs, Retrieval\-Augmented Generation (RAG), embeddings, and vector databases. * Experience designing cloud\-native, scalable, and resilient AI architectures. * Strong stakeholder management, leadership, communication, and mentoring skills. * Proven ability to drive large\-scale AI transformation and platform modernization initiatives. Work Location: MH, India Availability: Full time

Job Title: IND Applied AI Scientist Company: The Hartford India Job Category: Machine Learning Roles & Responsibilities: * Experience in statistical modeling and machine learning using Python, including extensive use of pandas, NumPy, scikit\-learn, and strong SQL for data exploration, feature development, and knowledge preparation; familiarity with PyTorch and/or TensorFlow preferred. * Experience across the end\-to\-end modeling lifecycle, including problem framing and requirements gathering, experiment design, offline evaluation, and ongoing production validation and monitoring. * Solid understanding and practical application of core machine learning methods, with 3\+ years of experience applying deep learning architectures in real\-world use cases. * Experience designing and operationalizing model evaluation and monitoring approaches, including test set creation (gold and/or synthetic), metric definition and tracking (e.g., classification, forecasting, ranking/IR, and business KPIs), and supporting A/B testing, drift detection, and performance regression monitoring. * Experience working with unstructured data, including document parsing and OCR fundamentals, text normalization, metadata and lineage awareness, and PII detection or redaction considerations. * Experience using Git and Unix\-based development environments, with experience building reproducible notebooks or pipelines and ensuring repeatable analytical workflows; 3\+ years of exposure to basic container and cloud fundamentals supporting deployment workflows * Experience communicating modeling decisions, design tradeoffs, evaluation results, and risks to both technical and non\-technical audiences, and translating analytical outcomes into measurable business impact. * Experience working with cloud\-based AI platforms such as Google Vertex AI, AWS SageMaker or Bedrock, or Azure AI Services, supporting experimentation, model training, and deployment. * Experience deploying models and integrating scoring logic into production systems, including operation within complex enterprise or packaged application environments (e.g., Duck Creek, Ratabase). * Experience with NLP and Generative AI capabilities, including embeddings, retrieval strategies (dense and hybrid), chunking approaches, prompt engineering, structured outputs, and contributing to Retrieval\-Augmented Generation (RAG) solutions and evaluations. * Experience or exposure to advanced GenAI applications and extensions, such as agent or tool\-use concepts, domain\-specific knowledge graph integration, synthetic data generation, sentiment modeling, and GenAI use cases in filing or compliance contexts. * Experience working within enterprise AI governance expectations, including aligning model development with compliance, privacy, documentation, and ethical standards. Work Location: Greater Hyderabad Area Availability: Full time

Job Title: AI/ML Engineer Company: DATA SECURITY COUNCIL OF INDIA Job Category: Machine Learning Roles & Responsibilities: #### About the Role We are seeking a dynamic and technically proficient AI/ML Engineer to support our AI/ML R\&D initiatives in cybersecurity. The ideal candidate will possess hands\-on experience in generative AI, emerging technologies, and product management. This is a hybrid role combining deep technical development with stakeholder engagement. #### Key Responsibilities * Support R\&D efforts to prototype generative AI models for real\-time threat detection and cybersecurity. * Design, develop, and deploy machine learning models tailored to cyber threat intelligence and anomaly detection. * Research and implement novel AI approaches, including multi\-agent and reasoning\-based systems. * Develop distributed security monitoring frameworks using tools like AutoGen, CrewAI, etc. * Build LLM\-powered threat analysis tools using LangChain, LlamaIndex, and integrate with enterprise infrastructure. * Apply MLOps best practices for model deployment, performance monitoring, and continuous integration. * Optimize vector stores (Qdrant, FAISS, Pinecone, etc.) for RAG\-based systems. * Create synthetic datasets for AI training and model evaluation. * Use Pydantic for data validation within AI pipelines. * Conduct technical research, proof of concepts (PoCs) and experimentation on emerging AI/ML use cases. * Identify opportunities to leverage AI/ML for solving complex problems, including potential applications in cybersecurity and data security. * Document model architectures, methodologies, experiments, results and technical findings. Work Location: Delhi, India Availability: Full time

Job Title: Enabling Areas - IT - DM - Junior AI Architect Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Your work profile Architecture Design: Design end\-to\-end architecture for AI solutions, including data ingestion, processing, modeling, deployment, and monitoring. Define architecture patterns, components, and interfaces to ensure scalability, performance, and reliability. Technology Evaluation: Evaluate and select appropriate AI technologies, frameworks, and tools to support the implementation of AI solutions. Stay abreast of emerging AI trends and advancements to inform technology decisions and architectural design. Model Development and Optimization: Collaborate with data scientists and machine learning engineers to develop and optimize machine learning and deep learning models. Ensure best practices in model development, training, evaluation, and deployment. Integration and Deployment: Integrate AI solutions into existing systems and infrastructure. Define deployment strategies and processes for deploying AI models in production environments, including cloud\-based and edge computing platforms. Performance Monitoring and Optimization: Establish monitoring and optimization mechanisms to track the performance, accuracy, and efficiency of AI systems in production. Implement feedback loops and continuous improvement processes to optimize AI models and algorithms over time. Governance and Compliance: Define governance policies and practices for AI development, deployment, and usage. Ensure compliance with regulatory requirements, ethical standards, and privacy considerations in AI initiatives. Collaboration and Leadership: Collaborate with cross\-functional teams, including data scientists, engineers, product managers, and business stakeholders, to drive AI projects from concept to delivery. Provide technical leadership and mentorship to team members. Work Location: MH, India Availability: Full time

Job Title: Senior Machine Learning Engineer, Hyderabad Company: Warner Bros. Discovery Job Category: Machine Learning Roles & Responsibilities: MLEs do rigorous data science and*  own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure — feature stores, training and serving pipelines, and MLOps — that makes our work reliable, repeatable, and scalable. We build primarily on Databricks , with strong working knowledge of Snowflake  and AWS , and we are an early, enthusiastic adopter of agentic AI development workflows. About the Role MLEs do rigorous data science and*  own the engineering that brings models to life: production ML data pipelines, model training and optimization, and the ML infrastructure — feature stores, training and serving pipelines, and MLOps — that makes our work reliable, repeatable, and scalable. We build primarily on Databricks , with strong working knowledge of Snowflake  and AWS , and we are an early, enthusiastic adopter of agentic AI development workflows. Technical Leadership \& Architecture * Architect probabilistic identity resolution  systems that connect unauthenticated device IDs and first\-party cookies to households/persons with calibrated confidence across brands. * Lead the evolution of Audience Intelligence , including ML Promo Optimizer, STAT v2, lookalike modeling inside Snowflake DCR, and content segmentation. * Own ML architecture for forecasting  use cases such as audience growth, demand, yield, and pricing, ensuring models are monitored and continuously improved. * Bring ML personalization signals, such as genre/content affinity and engagement trends, into batch and future real\-time activation paths. * Mentor MLE 2 engineers through architecture reviews, design discussions, implementation guidance, and hands\-on problem solving. * Partner with the ML leads on technical roadmap shaping, execution planning, capability development, and technical input into hiring profiles. * Represent the Hyderabad team in technical forums with ML, Data Engineering, Product, Ad Sales, and US\-based stakeholders. * Create clear design docs, architecture reviews, readiness reviews, and postmortems that strengthen engineering culture. * Primary platform: AWS , Databricks * Warehouse: Snowflake * Activation: Mosaic, FreeWheel, Google Ad Manager. * Languages: Python (primary), SQL, Scala (as needed). We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law. Work Location: Greater Hyderabad Area Availability: Full time

Job Title: Game Developer Company: Omre Enterprises Job Category: Machine Learning Roles & Responsibilities: Job Description: Senior Game Developer / Lead Game Engineer Experience: 5–8\+ Years Department: Game Development / Technology \& Engineering Employment Type: Full\-Time Industry: Gaming, Interactive Entertainment, Mobile Gaming, PC \& Console Gaming Work Mode: On\-site / Hybrid Seniority: Senior / Technical Lead 1\. About the Role We are looking for an exceptional, highly skilled Senior Game Developer / Lead Game Engineer with 5\+ years of professional experience in designing, developing, engineering, and delivering high\-quality interactive gaming experiences. The ideal candidate must possess strong expertise in modern game engines, gameplay programming, 2D/3D game development, graphics programming, multiplayer systems, physics simulations, artificial intelligence, and game optimization. The candidate will be responsible for the complete game development lifecycle, from concept development and technical architecture to gameplay engineering, prototyping, production, testing, deployment, and post\-launch optimization. We are looking for a technically strong and creatively driven developer who can build immersive, visually impressive, scalable, high\-performance games for mobile, PC, console, and web platforms. 2\. Key ResponsibilitiesA. Game Development \& Engineering * Design, develop, and implement high\-quality 2D and 3D games. * Build engaging gameplay mechanics, game systems, environments, and interactive experiences. * Develop core game architecture, frameworks, reusable components, and gameplay systems. * Implement character controllers, movement systems, combat mechanics, animations, and interactions. * Develop game logic, AI systems, physics simulations, and environmental interactions. * Build prototypes, proof\-of\-concepts, and production\-ready game features. * Optimize gameplay systems for performance, scalability, and stability. * Translate game design documents into functional gameplay experiences. * Ensure clean, maintainable, modular, and reusable code. B. Game Engines \& Development Frameworks * Strong professional experience with Unreal Engine 5\.x and/or Unity 6\.x. * Work with Unreal Engine Blueprints, C\+\+, Unity C\#, and engine\-specific scripting systems. * Develop custom gameplay systems and engine extensions. * Work with rendering pipelines, shaders, materials, lighting, and visual effects. * Implement animation systems, skeletal meshes, character rigs, and state machines. * Integrate third\-party SDKs, plugins, and development frameworks. * Evaluate emerging game engine technologies and development tools. * Familiarity with Godot and other emerging game development frameworks is an advantage. C. 3D Game Development \& Graphics Programming * Develop immersive 3D environments, characters, objects, and interactive worlds. * Work with 3D models, meshes, textures, materials, and lighting systems. * Implement real\-time rendering, shadows, reflections, and visual effects. * Work with PBR materials, physically based rendering, and advanced shaders. * Optimize draw calls, polygon counts, memory consumption, and GPU performance. * Implement LOD systems, occlusion culling, and asset streaming. * Work with advanced rendering technologies such as Lumen, Nanite, and modern rendering pipelines where appropriate. * Ensure consistent visual quality across different hardware configurations. D. 2D Game Development * Develop 2D casual, arcade, puzzle, strategy, simulation, and action games. * Implement sprite animations, tilemaps, collision systems, and physics. * Develop UI interactions, transitions, scoring systems, and game progression. * Optimize 2D rendering and gameplay performance. * Create reusable frameworks for rapid game development. E. Multiplayer \& Online Game Development * Design and implement real\-time multiplayer gaming systems. * Develop client\-server architecture and network communication. * Implement matchmaking, player sessions, lobbies, and multiplayer synchronization. * Work with authoritative servers, replication, prediction, and lag compensation. * Develop cross\-platform multiplayer and cross\-play functionality. * Implement leaderboards, ranking systems, tournaments, and competitive gameplay. * Integrate online services, player authentication, and cloud\-based game data. * Optimize network performance, latency, and server reliability. * Implement anti\-cheat systems and multiplayer security measures. * Implement intelligent NPCs and enemy behavior. * Develop pathfinding, navigation meshes, behavior trees, and decision\-making systems. * Work with machine learning and AI\-assisted game development tools. * Implement procedural content generation and dynamic game environments. * Develop adaptive difficulty and intelligent gameplay mechanics. * Explore AI\-driven NPC interactions, dialogue systems, and dynamic storytelling. * Integrate generative AI tools into appropriate development workflows while maintaining quality and performance. * Implement realistic physics simulations and collision detection. * Work with rigid bodies, soft bodies, ragdoll systems, and physics constraints. * Develop character animation systems and animation blending. * Implement inverse kinematics (IK), motion matching, and procedural animation where applicable. * Integrate motion capture and animation assets. * Optimize animation performance across target devices. H. Mobile, PC \& Cross\-Platform Development * Develop and optimize games for Android and iOS. * Build games for Windows, macOS, and supported console platforms. * Implement cross\-platform game architecture and input systems. * Optimize CPU, GPU, RAM, battery consumption, and loading times. * Handle different screen resolutions, aspect ratios, and device configurations. * Implement platform\-specific SDKs, integrations, and services. * Manage game builds, packaging, deployment, and release processes. * Ensure compatibility across different operating systems and hardware generations. * Integrate game backend services and REST APIs. * Develop player authentication, profiles, inventory, and progression systems. * Implement cloud saves, player statistics, and leaderboard services. * Work with databases, caching, and real\-time data synchronization. * Integrate multiplayer backend services and dedicated game servers. * Implement analytics, telemetry, and player behavior tracking. * Ensure secure communication between game clients and backend services. * Implement in\-app purchases and virtual currency systems. * Integrate rewarded advertisements, interstitial ads, and other monetization formats. * Develop battle passes, achievements, missions, rewards, and progression systems. * Implement daily challenges, seasonal events, and limited\-time content. * Develop live operations (LiveOps) features and content update systems. * Integrate analytics and monetization SDKs. * Optimize player retention, engagement, and lifetime value. * Support A/B testing and data\-driven gameplay improvements. * Conduct gameplay testing, debugging, profiling, and performance analysis. * Identify and resolve crashes, memory leaks, rendering issues, and gameplay defects. * Perform CPU, GPU, network, and memory profiling. * Optimize frame rates, loading times, and rendering performance. * Collaborate with QA teams on functional, compatibility, regression, and performance testing. * Ensure stable builds and production\-ready releases. * Monitor post\-launch bugs and implement timely fixes. L. Collaboration \& Technical Leadership * Collaborate with game designers, 3D artists, animators, UI/UX designers, sound designers, QA engineers, and backend developers. * Translate creative requirements into technical implementation plans. * Review code and maintain engineering standards. * Mentor junior developers and support technical problem\-solving. * Estimate development effort and identify technical dependencies. * Maintain technical documentation and development workflows. * Participate in technical architecture discussions and development planning. * Blender. * Autodesk Maya. * Substance 3D Painter. * Photoshop. * PBR workflows. * Shader development. * Real\-time rendering and lighting. * Niagara and VFX Graph. Development \& Collaboration Tools 4\. Advanced \& Emerging Game Development Technologies * AI\-assisted game development and coding workflows. * Generative AI integration for game content and development pipelines. * Procedural generation of environments, levels, and assets. * Intelligent NPCs and AI\-driven character interactions. * Advanced real\-time rendering and graphics optimization. * Virtual Reality (VR) and Augmented Reality (AR). * Extended Reality (XR). * Cloud gaming and distributed game infrastructure. * Cross\-platform multiplayer and shared gaming ecosystems. * Motion matching and procedural animation. * Real\-time physics and destruction systems. * Automated gameplay testing and AI\-assisted QA. * Advanced game analytics and player behavior intelligence. 7\. Key Performance Indicators (KPIs) * Development Delivery: Successful completion of assigned game development milestones. * Code Quality: Maintainable, optimized, and reusable code. * Performance Optimization: Stable FPS, reduced loading times, and efficient memory utilization. * Bug Resolution: Reduction in critical defects and recurring gameplay issues. * Gameplay Quality: Smooth, responsive, and engaging gameplay experiences. * Multiplayer Stability: Reliable synchronization, low latency, and server stability. * Cross\-Platform Compatibility: Consistent gameplay and performance across supported platforms. * Release Management: Successful builds, testing, and production deployments. * Development Efficiency: Effective use of engineering resources and development tools. * Player Experience: Improved retention, engagement, and gameplay satisfaction. * Technical Innovation: Adoption of relevant emerging technologies and improved development workflows. * Post\-Launch Support: Timely updates, performance improvements, and issue resolution. 8\. Leadership \& Professional Competencies * Strong technical ownership and accountability. * Excellent problem\-solving and debugging capabilities. * Creative thinking and game design understanding. * Ability to work independently and collaboratively. * Strong communication and technical documentation skills. * Ability to work under tight production deadlines. * Passion for gaming, interactive entertainment, and emerging technologies. * Ability to mentor developers and contribute to engineering excellence. * Strong focus on product quality, performance, and innovation. We are looking for a highly capable game development professional who can go beyond basic gameplay programming and contribute to building technically advanced, commercially viable, and engaging gaming products. * Project management: 5 years (Required) Work Location: In person Work Location: Mumbai, India Availability: Full time