Sr. Machine Learning Engineer
- Leading Client
- 5 - 8 years
- Mumbai
- 2 days ago
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Job Description
Experience:
- 5+ years of experience in Machine Learning, AI, or Data Science roles with production deployments.
- Bachelors or Masters in Computer Science, AI/ML, Data Science, Statistics, Mathematics, or a related quantitative field.
- Demonstrated success in applying and deploying AI/ML solutions to solve real-world, business-critical problems.
Technical Expertise
- Strong proficiency in Python with production-quality coding standards.
- Hands-on experience with ML frameworks: PyTorch, TensorFlow, scikit-learn, Hugging Face.
- Experience with LLMs and GenAI Agent design and tooling.
- Experience and deep knowledge of vector databases and services.
- Experience with experiment tracking and MLOps tools: MLflow, Weights & Biases, TensorBoard.
- Solid understanding of SQL and data processing at scale.
- Experience with Kubernetes (AKS).
- Deployment & Infrastructure Experience with model serving frameworks (vLLM, Triton, TensorRT, ONNX Runtime).
- Hands-on experience with Docker and Kubernetes in production environments.
- Comfortable with setting up CI/CD pipelines for AI/ML workflows.
Soft Skills
- Strong problem-solving and analytical thinking.
- Excellent communication skills with the ability to engage both technical and business stakeholders.
- Strong stakeholder management and a passion for building high-performing teams.
Nice to Have
- Experience with Azure tech stack, Azure AI Foundry.
- Experience and understanding of working with fine-tuning techniques (LoRA/QLoRA etc.) and inference optimization tools (vLLM, TensorRT, ONNX Runtime).
- Experience with Data engineering best practices and pipeline creation.
- Healthcare domain knowledge (EHR, FHIR, HL7).
- Experience with GPU optimization, CUDA, or distributed training (DeepSpeed).
- Knowledge of responsible AI practices for AI Agents and services: RAI Guidelines and regulatory compliance.
- Experience with graph-based ML, reinforcement learning, or federated learning.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Blockchain Quality Assurance EngineerEmployement Type: Full timeContact Details:
Company: Leading ClientLocation(s): Mumbai+ View Contact
Keyskills: AI Machine Learning Data Science GenAI LLMs scikit-learn Triton Data engineering Hugging Face TensorRT SQL PyTorch Python TensorFlow
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