Senior Mlops with ML/DL

hiring a Machine Learning / Deep Learning Engineer with DevOps and MLOps experience:

Job Title: Machine Learning / Deep Learning Engineer (2+ Years Experience)
Location: Gurugram / Delhi NCR (Work from Office Preferred)
Experience: Minimum 2 years in ML/DL & MLOps
Job Type: Full-Time

About the Role

We are looking for a passionate and skilled ML/DL Engineer with strong experience in MLOps, FastAPI, Kubernetes, and DevOps practices. If you love building scalable AI systems and deploying them into real-world environments, we’d love to meet you. You’ll work closely with our product, research, and backend teams to deploy end-to-end AI pipelines and models.

Key Responsibilities

• Design, develop, and deploy ML/DL models using Python, FastAPI, and related frameworks
• Implement scalable MLOps pipelines using tools like Docker, Kubernetes, and CI/CD
• Optimize model serving and monitor model performance in production
• Collaborate with data scientists and backend developers to integrate models into production systems
• Build robust APIs using FastAPI or Django for model inference
• Apply DevOps best practices for versioning, testing, and deployment
• Work on AI solutions across Computer Vision, NLP, and classic ML algorithms

Required Skills

• 2+ years of hands-on experience in Machine Learning / Deep Learning
• Solid experience with MLOps tools, containerization (Docker), and orchestration (Kubernetes)
• Proficiency in FastAPI and Python
• Working knowledge of DevOps, CI/CD (GitHub Actions, Jenkins, etc.)
• Familiarity with Django and model deployment
• Experience with Computer Vision, Natural Language Processing, and ML algorithms
• Solid understanding of model evaluation, optimization, and scalability

Nice to Have

• Experience with cloud platforms (AWS, GCP, or Azure) Kubernetes and fast API
• Familiarity with ONNX, TensorFlow Serving, or TorchServe
• Contributions to open-source or past projects in production

Preferred Candidate Location

• Gurugram / Delhi NCR preferred (In-office role)

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Job Types: Full-time, Permanent

Pay: ₹35,000.00 - ₹50,000.00 per month

Work Location: In person