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Job Title


Senior Machine Learning Engineer


Company : Huptech HR Solutions


Location : kanpur, Uttar Pradesh


Created : 2026-04-20


Job Type : Full Time


Job Description

Job Post :- Senior Machine Learning Engineer Experience - 5+ years Location - Ahmedabad (Remote) (You need to relocate onsite Abu Dhabi) Experience: • 5+ years of experience in Machine Learning, AI, or Data Science roles with production deployments. • Bachelor’s or Master’s 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.