Job Title : Machine Learning Engineer

Location : Pune / Navi Mumbai / Gurgaon / Panchkula / Mohali / Bangalore

Experience : 5+ Years

Shift Timing : 6:00 PM 3:00 AM (Night Shift)

Work Mode : Work From Office (No Hybrid / No Remote)

Job Overview :

We are looking for an experienced Machine Learning Engineer with strong hands-on expertise in ML, Deep Learning, Generative AI, and MLOps. The candidate should have proven experience building, deploying, and optimizing ML/AI models in production environments. Strong experience in Computer Vision and end-to-end model lifecycle management is required.

Key Responsibilities :

- Develop, train, and optimize ML and Deep Learning models.

- Build and integrate Generative AI solutions (LLMs, embeddings, text/image models).

- End-to-end model lifecycle ownership : data preparation ,modelling , deployment ,monitoring.

- Design and implement scalable MLOps pipelines (CI/CD, model registry, versioning).

- Work on Computer Vision pipelines (image/video processing, detection, segmentation).

- Deploy ML models into production (API, microservices, cloud platforms).

- Collaborate with Data Engineering, DevOps, and Product teams for end-to-end delivery.

- Conduct performance tuning, model evaluation, and experimentation.

Required Skills :

- Strong hands-on experience with Machine Learning & Deep Learning.

- Experience working with Generative AI / LLMs.

- Solid understanding of MLOps frameworks (MLflow, Kubeflow, SageMaker, etc.).

- Experience with model deployment (Docker, APIs, cloud servers).

- Proficiency in Python, data preprocessing, and model training pipelines.

- Expertise in Computer Vision (CNNs, transformers, detection/classification models).

- Knowledge of CI/CD for ML deployments.

- Experience with version control (Git) and GPU-based training workflows.

Preferred Skills :

- Experience with vector databases (FAISS, Pinecone, Weaviate).

- Experience with cloud ML services (AWS/GCP/Azure).

- Knowledge of automation and orchestration tools (Airflow, KubeFlow pipelines).

- Understanding of prompt engineering and LLM fine-tuning.

Candidate Requirements :

- Minimum 5+ years of ML/AI engineering experience.

- Must be comfortable working in Night Shift (6 PM 3 AM).

- Strong hands-on skills (coding + deployment).

- Immediate joiners or short notice preferred.