Job highlights

- Bachelor s / Master s degree in Computer Science,Artificial Intelligence,Data Science,or related fields. . 8+ years of experience in building and deploying ML / DL models (time series,NLP,etc.).

- Required Qualifications: .

- Preferred Skills: .

- Solid experience in backend frameworks: Django,Flask,or FastAPI,and building APIs for AI model inference.

Key Responsibilities:

- Design, develop, and deploy advanced Machine Learning and Deep Learning models for business-critical use cases.

- Build and optimize Computer Vision pipelines using models like YOLO, EfficientNet, or Transformer-based vision architectures.

- Integrate AI models into scalable backend services using Django, Flask, or FastAPI.

- Build robust RESTful APIs and manage data pipelines for AI workflows.

- Collaborate closely with frontend/backend engineers to bring AI features to production.

Required Qualifications:

- Bachelor s/Master s degree in Computer Science,



Artificial Intelligence, Data Science, or related fields.

- 8+ years of experience in building and deploying ML/DL models (time series, NLP, etc.).

- Proven expertise in Computer Vision (e.g., segmentation, detection, video analysis).

- Proficiency in Python, with frameworks like PyTorch, TensorFlow, OpenCV, and Hugging Face.

- Solid experience in backend frameworks: Django, Flask, or FastAPI, and building APIs for AI model inference.

- Familiarity with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure).

- Exposure to MLOps tools and concepts (e.g., MLflow, Weights & Biases, CI/CD pipelines).

Preferred Skills:

- Knowledge of LLMs (e.g., GPT, LLaMA, Mistral), agentic AI frameworks such as LangChain, AutoGPT is a plus.

📌 Lead Data Scientist (Noida)
🏢 Navikenz India
📍 Noida