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Senior Machine Learning Engineer (Generative AI)
3-7 years
Kolkata, Mumbai, New Delhi + 4 more
1 vacancy
Senior Machine Learning Engineer (Generative AI)
Zensar Technologies
posted 10d ago
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Flexible timing
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Job Description
Senior Machine Learning Engineer (Generative AI) Job Description
We are looking for an experienced Senior Machine Learning Engineer to collaborate with data scientists and cross-functional teams to develop and deploy cutting-edge AI solutions. This role will focus on engineering robust, scalable systems for Retrieval-Augmented Generation (RAG), large language models (LLMs), advanced recommendation engines, and next-best-action frameworks. The ideal candidate combines deep technical expertise with practical experience in machine learning pipelines, AWS infrastructure, and AI/ML frameworks.
Roles and Responsibilities
- AI System Development
- Collaborate with data scientists to build and deploy RAG pipelines, fine-tuned LLMs, and personalized recommender systems.
- Design and optimize machine learning pipelines for scalability and performance.
- Develop and maintain robust data processing and embedding pipelines for conversational AI and recommendation systems.
- Model Deployment and Optimization
- Deploy machine learning models into production using AWS tools such as SageMaker, Lambda, and DynamoDB.
- Optimize models for performance, scalability, and real-time use cases.
- Implement monitoring and retraining workflows to maintain model accuracy and relevance.
- Infrastructure and Automation
- Build scalable, secure infrastructure for model deployment and inference using AWS cloud services.
- Implement MLOps pipelines for continuous integration, deployment, and model lifecycle management.
- Work on vector search implementations and embedding-based retrieval techniques.
- and Innovation
- Partner with data scientists to integrate insights and models into production systems.
- Collaborate with product teams to design AI-driven features aligned with business goals.
- Research and apply emerging technologies to enhance existing systems and workflows.
- Technical Leadership
- Mentor junior team members and provide technical guidance on machine learning best practices.
- Conduct code reviews and ensure adherence to software development standards.
- Document processes and share knowledge across the team.
Essential Requirements
- Bachelor s or Master s degree in Computer Science, Machine Learning, or a related field
- 5+ years of experience in machine learning and software engineering, with expertise in RAG, LLMs, and recommendation systems.
- Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, and Scikit-learn.
- Strong knowledge of AWS services, including SageMaker, DynamoDB, Lambda, and Aurora.
- Familiarity with frameworks like LangGraph.
- Experience with embedding-based search and vector databases.
- Expertise in building and optimizing machine learning pipelines for production use.
Plus to Have
- Experience with MLOps practices, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes).
- Domain Knowledge of natural language processing (NLP) and conversational AI.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
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Zensar Technologies Mumbai Office Location
Mumbai, Maharashtra Office
Magnet House 2nd Floor, Magnet House Narottam Morarjee Marg, Ballard Estate, Mumbai - 400 001
Mumbai, Maharashtra
400001
400001
Senior Machine Learning Engineer (Generative AI)
3-7 Yrs
Kolkata, Mumbai, New Delhi +4 more
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