Job Title: Staff AI Engineer Company: OrbitronAI Job Category: Machine Learning Roles & Responsibilities: Founded by an exceptional leadership team of: The founding team brings together seasoned business, product and engineering leaders who have built and scaled organizations and led enterprise projects valued at over $1 billion. * Massive Impact, Real Ownership Ship end\-to\-end features, own outcomes, and see your work power mission\-critical systems. * Battle\-Tested Leadership Learn and grow with seasoned leaders who bring deep industry expertise and zero ego. * Cutting Edge Stack Work with GenAI frontier models, Java, Python, Go, TypeScript, GCP \& edge compute, Vector DBs, DAG engines. Why This Role * Design and deploy cutting\-edge AI agents using our orchestration layer built on n8n, Temporal, and next\-gen agentic stacks. * Build intelligent, context\-aware workflows that plug directly into enterprise systems — transforming how business make decisions, serve customers, and manage operations. * Prototype fast. Iterate faster. You’ll test, fail, learn, and ship production\-grade AI agent flows that power real business outcomes. * Collaborate with product and design to identify high\-impact user journeys where AI can be a 10x unlock — and then build them. * Push the limits of RAG, embeddings, and vector search to bring real\-time, grounded intelligence into every agent decision. * Engineer smart integrations with OpenAI, Anthropic, Claude, and other LLMs — blending in enterprise APIs, CRMs, internal tools, and more. * Lead development of multi\-agent orchestration flows: planner\-executor models, memory layers, persona\-based behaviors, and tool\-using agents. * Own the AI pipeline end\-to\-end: prompt engineering, dynamic context handling, agent simulation and evaluation, all the way to deployment and monitoring. * Help set the bar for reliability, latency, and safety of AI outputs — your work will shape how users trust AI inside their organizations. * Work alongside curious, driven people who care deeply about shipping transformative products, not just academic demos. * Top‑Tier Compensation * Latest MacBook Pros \+ 4K monitors * Paid AI tool \& cloud credits to experiment freely * Premium health, wellness, and learning budgets * A culture celebrating every victory. * Continuous learning and skill development opportunities. * Flexible PTO and work hours. Work Location: Karnataka, India Availability: Full time
Job Title: Artificial Intelligence Trainer Company: orange2green Job Category: Machine Learning Roles & Responsibilities: Job Description: Artificial Intelligence Trainer – AI \& Emerging Technologies About the Role The trainer will be responsible for delivering practical, industry\-oriented training in Artificial Intelligence, Machine Learning, programming, and emerging technologies. The role involves teaching students from both technical and non\-technical backgrounds, making complex concepts easy to understand through interactive sessions, practical demonstrations, and hands\-on projects. Key Responsibilities * Deliver training sessions on Artificial Intelligence, Machine Learning, and emerging technologies to university students. * Teach students from technical and non\-technical backgrounds, adapting the training approach to different levels of understanding. * Conduct hands\-on training in Python programming, AI fundamentals, machine learning concepts, and practical applications. * Provide training in programming languages such as Python, Java, and C\+\+, based on the curriculum and training requirements. * Introduce students to web technologies, including HTML, CSS, and JavaScript. * Teach database fundamentals, SQL queries, and data management concepts. * Introduce cloud computing concepts and relevant real\-world applications. * Design lesson plans, presentations, practical exercises, assignments, and project\-based learning activities. * Explain technical concepts using real\-world examples, demonstrations, and interactive teaching methods. * Guide students in developing mini\-projects and applying their learning to practical problem\-solving. * Assess student progress through assignments, practical evaluations, quizzes, and feedback sessions. * Encourage student participation, critical thinking, creativity, and problem\-solving skills. * Coordinate with university representatives and the internal training team to ensure smooth delivery of training programs. * Maintain attendance records, training reports, student performance records, and other required documentation. * Stay updated on developments in Artificial Intelligence, Machine Learning, and emerging technologies. * Artificial Intelligence: AI fundamentals, applications, and responsible use of AI tools. * Machine Learning: Core ML concepts, basic algorithms, and practical applications. * Programming: Python proficiency; knowledge of Java and C\+\+. * Web Development: HTML, CSS, and JavaScript fundamentals. * Database Management: SQL, database concepts, and basic data handling. * Cloud Computing: Fundamental cloud concepts and applications. * Practical Training: Ability to conduct coding exercises, demonstrations, and project\-based learning sessions. * Excellent verbal communication skills in English. * Strong presentation and classroom management skills. * Ability to explain technical concepts in simple, understandable language. * Patience and adaptability when teaching students with different learning levels. * Strong problem\-solving, mentoring, and interpersonal skills. * Willingness to learn new technologies and continuously improve training methods. Work Location: In person Work Location: Hyderābād, India Availability: Full time
Job Title: Sr Machine Learning Engineer Company: Amgen Job Category: Machine Learning Roles & Responsibilities: India \- Hyderabad JOB ID: R\-246932 LOCATION: India \- Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Oct. 28, 2026 CATEGORY: Engineering ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting\-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE We are seeking a Senior Machine Learning Engineer, Forecasting to join the Forecasting team within the AI \& Data organization. This role will design, build, deploy, and maintain scalable machine learning systems that power forecasting capabilities and uncertainty\-aware decision support across the company. This senior member of the team will work cross\-functionally to translate advanced forecasting methods into reliable, production\-grade solutions that support critical business processes and help Amgen deliver on its “every patient, every time” mandate. The role is particularly well suited to a strong engineer who is excited about building robust ML infrastructure, productionizing state\-of\-the\-art forecasting models, and enabling decision\-support solutions that inform multi\-horizon planning and business decision\-making. Key Responsibilities * Design, build, and maintain scalable machine learning systems and forecasting pipelines to support demand forecasting across near\-, medium\-, and long\-term planning horizons. * Productionize advanced statistical, Bayesian, and machine learning forecasting models, including training, validation, deployment, and lifecycle management. * Build and optimize data pipelines, feature engineering workflows, and batch and real\-time inference systems using large, complex datasets. * Own the end\-to\-end ML engineering lifecycle, including solution design, prototyping, model integration, testing, deployment, monitoring, observability, and continuous improvement. * Develop robust MLOps capabilities, including model versioning, CI/CD, automated retraining, performance monitoring, drift detection, and rollback strategies. * Partner closely with data scientists and business stakeholders to operationalize forecasting, simulation, and scenario\-analysis capabilities that support strategic decision\-making. * Establish and promote software engineering best practices, including code quality, documentation, reproducibility, and system reliability. * Research and evaluate emerging tools, platforms, and methodologies in machine learning engineering, forecasting, and AI for potential application to business problems. Work Location: Hyderābād, India Availability: Full time
Job Title: Senior_Expert (AI_Engineering) Company: Novartis India Job Category: Machine Learning Roles & Responsibilities: Relocation Support: Yes Imagine shaping how breakthrough medicines are discovered by bringing cutting\-edge AI from concept to real\-world application. As a Senior Expert in AI\-Engineering, you will sit at the critical intersection of innovation and delivery—transforming advanced machine learning models into scalable, reliable solutions that accelerate drug discovery. Collaborating with leading scientists and AI experts, you will drive the translation of pioneering research into impactful tools, ensuring models are reproducible, efficient, and ready to solve complex biomedical challenges. This is an opportunity to directly influence how modern AI reshapes scientific discovery and improves patient outcomes. About The Role Key Responsibilities Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people\-and\-culture Work Location: Greater Hyderabad Area Availability: Full time
Job Title: Machine Learning Engineer Company: Amgen Job Category: Machine Learning Roles & Responsibilities: India \- Hyderabad JOB ID: R\-251215 LOCATION: India \- Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Oct. 28, 2026 CATEGORY: Engineering ABOUT THE ROLE We are seeking a Machine Learning Engineer, Forecasting to join the Forecasting team within the AI \& Data organization. This role will build, deploy, and maintain machine learning systems that support forecasting and decision\-making across the organization. Key Responsibilities * Develop and maintain machine learning pipelines supporting forecasting and predictive analytics use cases. * Productionize statistical, machine learning, and Bayesian forecasting models developed by data scientists. * Build data ingestion, preprocessing, feature engineering, and model inference pipelines using structured and unstructured data. * Deploy ML models into production environments and support model lifecycle management. * Implement model monitoring, automated retraining, performance tracking, and alerting mechanisms. * Collaborate with data scientists to optimize model performance, scalability, and reliability. * Build reusable ML components, APIs, and services following software engineering best practices. * Contribute to CI/CD pipelines and MLOps workflows for automated testing and deployment. * Troubleshoot production issues, optimize system performance, and improve operational efficiency. * Document technical solutions and contribute to engineering best practices across the team. * Stay current with emerging machine learning engineering technologies and recommend improvements where appropriate. * 4\+ years of experience in Machine Learning Engineering, Software Engineering, Data Engineering, or a related field. * Experience building and deploying production machine learning applications. * Strong programming skills in Python and SQL. * Experience with machine learning libraries such as scikit\-learn, PyTorch, TensorFlow, or similar frameworks. * Experience building data pipelines and feature engineering workflows. * Familiarity with MLOps concepts including ML lifecycle management, CI/CD, model versioning, and monitoring. * Experience with cloud platforms such as Azure, AWS, or GCP. * Familiarity with containerization technologies such as Docker and orchestration platforms like Kubernetes. * Experience working with distributed data processing frameworks such as Spark or Databricks. * Understanding of software engineering best practices including testing, version control, code reviews, and documentation. * Strong analytical, problem\-solving, and communication skills. up. * Experience supporting forecasting or time\-series machine learning applications. * Familiarity with Bayesian or probabilistic forecasting models. * Experience deploying ML solutions in healthcare, biotech, retail, supply chain, or commercial analytics domains. * Experience with MLFlow, Airflow, Azure ML, Databricks, or similar ML platforms. * Familiarity with model explainability and monitoring tools such as SHAP, Evidently, or equivalent. * Exposure to modern AI technologies including Generative AI and LLM\-based applications is a plus. * Ability to work effectively in cross\-functional Agile teams. Work Location: Telangana, India Availability: Full time
Job Title: Artificial Intelligence Engineer Company: Alight Solutions Job Category: Machine Learning Roles & Responsibilities: Job Description THE ROLE Role Summary We are looking for a hands\-on AI / ML Architect who will work as an Individual Contributor, designing, building and deploying scalable AI / ML solutions. This role is NOT people\-management focused – you will actively write production grade code, build models, architect ML platforms, and collaborate closely with cross functional engineering, product, and domain teams. * As an AI/ML Arch, you will be responsible for designing, developing, and deploying machine learning models and AI applications that solve complex business problems. * Expert in Designing and developing search and chat applications that utilize Agentic AI. * Design and develop AI paved paths for the Alight engineering organization. * Experiment to evaluate application performance, including designing experiments to evaluate the performance of machine learning models, and then analyze and interpret the results to improve model performance. * Stay up to date with new tools and technologies and evaluating their potential impact on the business. * Work with stakeholders to develop and tune algorithms to address business needs. You should be able to effectively communicate your ideas in non\-technical terms to help educate business partners * Evaluate, fine‑tune, and deploy LLMs and foundation models; implement RAG, guardrails, and prompt engineering best practices (conversant with Github Copilot). * Conversant with LLM security practices – Secure model deployment, Input validation, Data verification (guardrails) etc. * Write production quality Python code for: * Feature Engineering * Model evaluation * Interface services (APIs) * Conversant with Spring AI – building MCPs, tools, pre\-plugin and post\-plugin etc. * Build high performant Ingestion pipelines. * Expertise across cloud (AWS), data engineering, ML/GenAI and data ingestion techniques * Work with CI/CD pipelines (Github Actions, Gitlab, Jenkins) * Mentor engineers on ML best practices (without direct people management) * Collaborate on a high\-performing, agile team with a global presence We celebrate differences and believe in fostering an environment where everyone feels valued, respected, and supported. We know that diverse teams are stronger, more innovative, and more successful. Work Location: Noida, Uttar Pradesh, India Availability: Full time
Job Title: Technology Consultant - Senior Automation & AI Engineer Company: NTT Ltd Job Category: Machine Learning Roles & Responsibilities: Role Summary We are seeking an experienced Senior Automation AI Engineer with strong expertise in Intelligent Automation, Artificial Intelligence, Generative AI, Process Automation, and Enterprise Solution Development. The ideal candidate will be responsible for designing, developing, and implementing automation and AI\-driven solutions that improve operational efficiency, productivity, and business outcomes. The candidate should possess hands\-on experience with Python, AI/ML frameworks, Generative AI platforms, workflow automation, APIs, cloud services, and integration technologies. The role will work closely with Business Stakeholders, Product Owners, Architects, Developers, Data Engineers, and Operations teams to identify automation opportunities and deliver scalable AI\-powered solutions. Day to Day Job Duties * Design, develop, and deploy AI\-powered automation solutions across business and technology functions. * Identify business processes suitable for automation and recommend appropriate AI and automation approaches. * Develop intelligent workflows using AI, Machine Learning, Generative AI, and automation platforms. * Build and integrate AI services utilizing Large Language Models (LLMs), NLP, and AI\-driven decision\-making capabilities. * Develop Python\-based automation frameworks, utilities, APIs, and reusable components. * Integrate enterprise systems using REST APIs, web services, databases, and middleware technologies. * Design and implement AI assistants, copilots, chatbots, and workflow automation solutions. * Work with structured and unstructured data for AI model training, inference, and process automation. * Collaborate with business teams to gather requirements and translate them into technical solutions. * Develop prompt engineering strategies and optimize AI model responses for business use cases. * Monitor AI solution performance, accuracy, reliability, and operational effectiveness. * Implement security, governance, compliance, and responsible AI best practices. * Conduct troubleshooting, root cause analysis, and performance optimization activities. * Support SIT, UAT, deployment, production rollout, and post\-production support activities. * Participate in Agile ceremonies including sprint planning, backlog grooming, design reviews, and retrospectives. * Mentor junior engineers and provide technical guidance on AI and automation best practices. * Programming: Python, SQL, JavaScript * Generative AI: OpenAI, Azure OpenAI, Claude, Gemini, LLM Integration * AI/ML: Machine Learning, NLP, Model Evaluation, AI Workflows * Prompt Engineering: Prompt Design, Optimization, AI Response Tuning * Automation Development: Workflow Automation, Business Process Automation, Intelligent Automation * Frameworks Libraries: LangChain, Semantic Kernel, Hugging Face, AI SDKs * Integration Technologies: REST APIs, Web Services, API Integrations * Data Technologies: SQL, Vector Databases, Data Processing, Data Validation * Cloud Platforms: Azure, AWS, GCP * DevOps CI/CD: Git, Azure DevOps, GitHub Actions, Jenkins * Security Governance: Responsible AI, Data Privacy, Access Controls * Methodologies: Agile, Scrum, SDLC * Experience with Microsoft Copilot, Copilot Studio, Power Platform, or Power Automate. * Experience building AI Agents, AI Assistants, and Autonomous Workflows. * Knowledge of Retrieval\-Augmented Generation (RAG) architectures. * Experience with Vector Databases such as Pinecone, Chroma, or Azure AI Search. * Experience with document intelligence, OCR, and intelligent document processing solutions. * Exposure to Data Engineering, Analytics, and Data Science projects. * Experience implementing AI governance and compliance frameworks. * Knowledge of MLOps, model deployment, and monitoring frameworks. * Experience working on enterprise digital transformation initiatives. * Strong stakeholder management and consulting skills. * 7–12\+ years of Software Engineering, Automation, or AI Engineering experience. * Strong expertise in Python, APIs, and enterprise automation development. * Hands\-on experience with Generative AI, LLMs, and AI\-powered solution development. * Experience designing and implementing intelligent automation frameworks. * Strong understanding of Prompt Engineering and AI integration patterns. * Experience working with cloud platforms and scalable enterprise architectures. * Experience collaborating with business and technical stakeholders. * Ability to drive AI and Automation initiatives from concept through production deployment. * Strong communication, leadership, and problem\-solving skills. * Passion for innovation, automation, and AI\-driven transformation. NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100\. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise\-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start\-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD. Work Location: Noida, India Availability: Full time
Job Title: GenAI Architect Company: NTT DATA North America Job Category: Machine Learning Roles & Responsibilities: We are seeking a highly skilled and motivated AI/ML \& Generative AI Architect to join our growing team. This role requires deep expertise in artificial intelligence and machine learning with a particular focus on Generative AI, LLMs, NLP, and Recommendation \& Predictive Modelling. The ideal candidate will have experience developing innovative AI solutions using modern frameworks and cloud\-based tools, working across cross\-functional teams, and delivering high\-impact AI/ML applications for diverse industries. Key Responsibilities: * Design, develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms. * Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit\-learn. * Apply deep knowledge of statistics, machine learning, NLP, and generative models including GANs and transformers. * Work with RAG (Retrieval\-Augmented Generation) techniques and tools including Langchain, LlamaIndex, and vector databases like FAISS and Milvus. * Integrate and manage LLM APIs and registries (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock). * Build scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework, or FastAPI. * Collaborate with cross\-functional teams to design and implement end\-to\-end AI pipelines, from data ingestion to model deployment and monitoring. * Support the development of GenAI use cases, prototypes, and POCs tailored to specific industry requirements. * Maintain and enhance data infrastructure for collecting, cleaning, and analyzing large\-scale datasets. * Communicate technical concepts clearly and effectively with both technical and non\-technical stakeholders. * Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value. * Demonstrate innovation in Private AI and Smart Agent Solutions, ensuring data privacy and intelligent automation. * Stay current with trends and advancements in AI, GenAI, LLMs, and related fields. * Contribute to the development of frameworks, capabilities, and features for NTT DATA’s global GenAI platform and TechHub. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100\. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise\-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start\-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R\&D. Work Location: Bangalore Urban, Karnataka, India Availability: Full time
Job Title: Computer Vision Engineer Company: Eternal Job Category: Machine Learning Roles & Responsibilities: About the Role ------------------ * Maintain and improve our perception pipeline, including detecting ripe tomatoes among dense foliage, estimating cut points on stems with sub\-centimeter accuracy, and adapting to new crop types as we expand. * Build and maintain data and model lifecycle infrastructure, from data collection and annotation to model monitoring, drift detection, and retraining across our growing robot fleet. * Create real\-time perception pipelines that process 2D/3D sensor data for robotic decision\-making with sub\-centimeter accuracy. * Optimize vision algorithms for edge deployment on robotic platforms, balancing accuracy with computational efficiency. * Build tools for debugging, analysis, and performance evaluation of your algorithms. Root\-cause failures when things break in production. * Collaborate cross\-functionally with robotics engineers, AI/ML researchers, and crop scientists to deliver end\-to\-end perception solutions. * You own your projects from prototype to production. We expect production\-quality software engineering, not just notebook experiments. We don't have separate research and engineering teams Rapid Innovation: Our software\-first approach means you'll see your models deployed to real robots in hours/days, not months. We've proven we can develop and deploy new perception capabilities over\-the\-air as crops evolve. Flexible Work Culture: Distributed team with offices in Cologne and Bengaluru, following a "follow\-the\-sun" support model for our 24/7 operations. eternal.ag* is building fully automated food production sites that can sustainably produce fresh food year\-round. Backed by world\-class investors and partnering with leading agricultural companies, we're turning the vision of fully\-autonomous greenhouses into reality. Work Location: Karnataka, India Availability: Full time
Job Title: AI ML Developer Company: Scoutit Job Category: Machine Learning Roles & Responsibilities: We're looking for AI ML Developers ! Responsibilities : * Design, develop, train, and optimize Machine Learning and Deep Learning models. * Analyze structured and unstructured datasets to identify business insights and opportunities. * Build and maintain data pipelines for model training and inference. * Develop AI solutions using NLP, Computer Vision, Recommendation Systems, or Predictive Analytics. * Deploy ML models using cloud platforms and MLOps best practices. * Perform feature engineering, model evaluation, hyperparameter tuning, and performance optimization. * Collaborate with Data Scientists, Software Engineers, and business stakeholders. * Monitor model performance and retrain models as required. * Document model architecture, experiments, and deployment processes ( Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.) Work Location: Bengaluru, Karnataka, India Availability: Full time
