Job Title: AI/ML Developer Company: Sectona Job Category: Machine Learning Roles & Responsibilities: Sectona is a Privileged Access Management company that helps enterprises mitigate risk of targeted attacks to privileged accounts spread across data centers and cloud. It provides modern infrastructure access layer for new age workforce to build, confidently access and operate a faster, more secure technology environment. Sectona delivers a single stack integrated Security Platform which hosts multiple solutions, such as, Privilege Access Management (PAM), Privilege Access Governance (PAG), DevOps Secret Management (DSM) and Endpoint Privilege Management (EPM) for securing dynamic workforce access across on\-premises or cloud workloads, endpoints and machine to machine communication.Sectona works with diverse set of customers from 25\+ countries with focus on India, Middle East, Africa, South East Asia, Europe and UK. What you will do for Sectona We are looking for an AI/ML Developer to develop and integrate AI\-driven capabilities into our enterprise cybersecurity platform. The role involves building intelligent solutions for security monitoring, threat detection, anomaly detection, risk analysis, and automation. The candidate will work closely with engineering and product teams to apply AI/ML techniques to real\-world cybersecurity challenges, particularly in Privileged Access Management (PAM), Identity Security, and user behaviour analysis. Key Responsibilities We are looking for an AI/ML Developer to develop and integrate AI\-driven capabilities into our enterprise cybersecurity platform. The role involves building intelligent solutions for security monitoring, threat detection, anomaly detection, risk analysis, and automation. The candidate will work closely with engineering and product teams to apply AI/ML techniques to real\-world cybersecurity challenges, particularly in Privileged Access Management (PAM), Identity Security, and user behaviour analysis. Key Responsibilities * Design, develop, and implement ML models for intrusion detection, phishing detection, and anomalous access behaviour. * Analyse security logs, authentication data, network traffic, and threat intelligence feeds. * Perform data preprocessing, feature engineering, and model evaluation. * Implement supervised, unsupervised, and deep learning techniques. * Develop solutions for anomaly detection, User and Entity Behaviour Analytics (UEBA), risk scoring, and threat detection. * Integrate AI/ML models into existing enterprise applications and security platforms. * Develop and consume REST APIs for AI\-powered capabilities. * Optimize model performance, accuracy, and scalability. * Conduct experiments, validate results, troubleshoot model issues, and improve detection capabilities. * Collaborate with product engineering and cybersecurity teams to translate business and security requirements into AI\-driven solutions. * Document experiments, implementation approaches, and model performance. * Stay updated with emerging AI/ML technologies and cybersecurity trends. Work Location : Work Location: Mumbai, Maharashtra, India Availability: Full time
Job Title: Senior Consultant | Backend Developer | Mumbai | Engineering | Platform Development & Integration Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Senior Consultant \| Backend Developer \| Mumbai \| Engineering \| Platform Development \& Integration Deloitte’s Technology \& Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact\-driven decision\-making and generate an insight\-driven advantage. Our practice addresses the continuum of opportunities in business intelligence \& visualization, data management, performance management and next\-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Roles \& Responsibilities * Lead the design and development of agentic and intelligent systems with strong ownership of core algorithms, model behavior, and decision logic, minimizing reliance on managed AI services and abstraction\-heavy frameworks. * Architect end\-to\-end agentic systems with deep control over model internals, reasoning flows, tool\-use logic, and execution pipelines rather than wrapper\-based orchestration. * Take algorithmic and model\-level ownership of agent behavior, including reasoning strategies, planning algorithms, fallback logic, and failure handling. * Design and implement custom agent orchestration, memory systems, context management, and stateful workflows without over\-dependence on LangChain/LangGraph\-style abstractions. * Build and fine\-tune open\-source and self\-hosted LLMs or hybrid approaches (open\-weight \+ proprietary) based on performance, cost, and security trade\-offs. * Develop custom RAG pipelines, embedding strategies, ranking, re\-ranking, and grounding mechanisms tailored to enterprise knowledge systems. * Integrate agentic solutions with enterprise applications, APIs, data platforms, and internal ML systems. * Establish low\-level design patterns, reusable libraries, and internal frameworks for building agent\-based systems from first principles. * Optimize model inference, reasoning efficiency, latency, cost, and response quality, including prompt\-free and programmatic reasoning approaches where applicable. * Drive Responsible AI practices with in\-house guardrails, explainability techniques, auditability, and governance controls. * Collaborate with business stakeholders to translate complex requirements into deterministic, reliable agent\-driven solutions, avoiding black\-box dependencies. * Lead production support, deep debugging, RCA, and performance tuning at both system and model levels. * Mentor junior consultants on core AI concepts, algorithms, and system design, not just framework usage. * 4 to 7 years of strong experience building AI\-driven systems, with demonstrated ownership of model behaviour and algorithms, not just API integration. * Deep understanding of agentic architectures, multi\-agent coordination, autonomous decision\-making systems, and custom orchestration approaches. * Ability to design agent frameworks from scratch or significantly extend existing ones rather than relying out\-of\-the\-box abstractions. * Strong understanding of LLM internals, transformer architectures, inference behavior, tokenization, attention, trade\-offs. * Experience with open\-source LLMs (e.g., LLaMA\-family, Mistral, Mixtral, Falcon, Qwen) and self\-hosted deployments. * Advanced reasoning strategies: chain\-of\-thought alternatives, tree/graph\-based reasoning, planners, critic–agent loops, tool reasoning. * Prompting as a controlled technique, not the primary abstraction. * Experience with LangChain, LangGraph, AutoGen, CrewAI as reference tools, with proven ability to bypass, customize, or replace them with custom implementations. * Preference for code\-first, algorithm\-driven approaches over declarative or black\-box pipelines. * Deep experience in RAG pipelines, embeddings, vector similarity search, hybrid retrieval, reranking models, and knowledge grounding. * Strong grasp of information retrieval, indexing, and retrieval algorithms. * Strong systems engineering skills with Python and/or Java/Go for AI backends. * Experience deploying AI workloads on GCP, including self\-managed inference, GPUs, containers, and scaling strategies. * Familiarity with MLOps practices: model versioning, evaluation pipelines, controlled rollouts, and experimentation. * Deep experience in AI observability: tracing reasoning paths, latency profiling, quality evaluation, and cost monitoring. * Strong understanding of AI security, data privacy, access control, and compliance, with preference for in\-house controls over managed tooling. * General Insurance (Health, Motor, Travel) domain knowledge is a strong advantage. Work Location: Maharashtra, India Availability: Full time
Job Title: Business Analyst Company: Thyrocare Job Category: Machine Learning Roles & Responsibilities: Responsibilities : Work Location: Navi Mumbai, Bengaluru, India Availability: Full time
Job Title: Analytical Manager Company: Thyrocare Job Category: Machine Learning Roles & Responsibilities: Job Summary We are looking for a seasoned analytics leader to drive data\-driven decision\-making across our organization. In this role, you will own the analytics agenda for one or more business verticals, acting as a strategic thought partner to senior business and product stakeholders while leading a high\-performing team of analysts and data scientists. The ideal candidate combines deep technical expertise in machine learning, statistical modelling, and Insights Frameworks with the ability to translate ambiguous business problems into structured, impactful solutions and the leadership presence to scale those solutions across the organization. Key Responsibilities Business Partnering * Serve as the primary analytics partner to senior business and product leaders, proactively identifying opportunities where data can drive measurable business outcomes. * Translate complex, ambiguous business problems into well\-scoped analytics roadmaps with clear milestones, success metrics, and ROI framing. * Influence strategic decisions by presenting data\-backed recommendations to senior stakeholders, including cross\-functional leadership. * Build strong, trust\-based relationships across functions (Growth, Product, Engineering) to embed analytics into core business workflows and planning cycles. * Drive a culture of experimentation and data literacy across business teams; design and interpret A/B tests and other causal inference frameworks to validate hypotheses. Team Management \& Leadership * Lead, mentor, and develop a team of 58 analysts and data scientists, fostering a high\-performance, collaborative culture. * Define team goals, manage performance, and provide structured career development pathways for team members. * Oversee project portfolio management — prioritize competing demands, allocate resources effectively, and ensure on\-time delivery against business commitments. * Champion best practices in analytics engineering, code review, documentation, and knowledge sharing within the team. * Recruit and onboard top analytics talent to grow team capability in line with business needs. * Architect and oversee end\-to\-end analytics solutions — from data ingestion and wrangling through modelling, validation, and production deployment. * Lead the development of advanced ML and statistical models (regression, classification, clustering, time series, causal inference, NLP, recommendation systems) to solve high\-stakes business problems. * Hands\-on proficiency in Python (pandas, scikit\-learn, XGBoost, PyTorch/TensorFlow) and SQL (complex joins, window functions, query optimization across large datasets). * Design scalable data models and pipelines; experience with cloud data platforms (e.g., BigQuery, Snowflake, Redshift) and orchestration tools (e.g., Airflow, dbt) is a strong plus. * Build and maintain executive\-grade dashboards and reporting frameworks using BI tools (Tableau, Power BI, Metabase) that serve as single sources of truth for business KPIs. * Ensure rigorous standards for data quality, validation, and model monitoring in production environments. * Evaluate and adopt emerging tools and methodologies (e.g., LLM\-powered analytics, AutoML, feature stores) to continuously raise the team's capability bar. Work Location: Navi Mumbai, 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: Mumbai, 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: Mumbai, India Availability: Full time
Job Title: Analytical Manager Company: Thyrocare Job Category: Machine Learning Roles & Responsibilities: Job Summary We are looking for a seasoned analytics leader to drive data\-driven decision\-making across our organization. In this role, you will own the analytics agenda for one or more business verticals, acting as a strategic thought partner to senior business and product stakeholders while leading a high\-performing team of analysts and data scientists. The ideal candidate combines deep technical expertise in machine learning, statistical modelling, and Insights Frameworks with the ability to translate ambiguous business problems into structured, impactful solutions and the leadership presence to scale those solutions across the organization. Key Responsibilities Business Partnering * Serve as the primary analytics partner to senior business and product leaders, proactively identifying opportunities where data can drive measurable business outcomes. * Translate complex, ambiguous business problems into well\-scoped analytics roadmaps with clear milestones, success metrics, and ROI framing. * Influence strategic decisions by presenting data\-backed recommendations to senior stakeholders, including cross\-functional leadership. * Build strong, trust\-based relationships across functions (Growth, Product, Engineering) to embed analytics into core business workflows and planning cycles. * Drive a culture of experimentation and data literacy across business teams; design and interpret A/B tests and other causal inference frameworks to validate hypotheses. Team Management \& Leadership * Lead, mentor, and develop a team of 58 analysts and data scientists, fostering a high\-performance, collaborative culture. * Define team goals, manage performance, and provide structured career development pathways for team members. * Oversee project portfolio management — prioritize competing demands, allocate resources effectively, and ensure on\-time delivery against business commitments. * Champion best practices in analytics engineering, code review, documentation, and knowledge sharing within the team. * Recruit and onboard top analytics talent to grow team capability in line with business needs. * Architect and oversee end\-to\-end analytics solutions — from data ingestion and wrangling through modelling, validation, and production deployment. * Lead the development of advanced ML and statistical models (regression, classification, clustering, time series, causal inference, NLP, recommendation systems) to solve high\-stakes business problems. * Hands\-on proficiency in Python (pandas, scikit\-learn, XGBoost, PyTorch/TensorFlow) and SQL (complex joins, window functions, query optimization across large datasets). * Design scalable data models and pipelines; experience with cloud data platforms (e.g., BigQuery, Snowflake, Redshift) and orchestration tools (e.g., Airflow, dbt) is a strong plus. * Build and maintain executive\-grade dashboards and reporting frameworks using BI tools (Tableau, Power BI, Metabase) that serve as single sources of truth for business KPIs. * Ensure rigorous standards for data quality, validation, and model monitoring in production environments. * Evaluate and adopt emerging tools and methodologies (e.g., LLM\-powered analytics, AutoML, feature stores) to continuously raise the team's capability bar. Work Location: Navi Mumbai, 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: Mumbai, 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: Mumbai, India Availability: Full time
Job Title: Business Analyst Company: Thyrocare Job Category: Machine Learning Roles & Responsibilities: Responsibilities : Work Location: Navi Mumbai, Bengaluru, India Availability: Full time
