Lead Data Scientist
1 week ago
We are hiring for Lead Data Scientist.
Exp: 8-12 Yrs.
Skills: ML, DL, Python coding & GenAI (Mandatory)
Notice period: 0-15 days
Location: Noida/Bangalore.
Work Mode: Hybrid (3 days WFO).
Interview: 1.Virtual, 2. F2F.
Interview Rounds – Tech + Customer round.
Job Summary:
We are seeking a highly experienced Data Scientist with a strong foundation in ML/DL, experience in Computer Vision, with affinity towards upcoming technologies like Generative AI (GenAI) and Large Language Models (LLMs). The ideal candidate will lead and deploy cutting-edge AI solutions, bridging the gap between intelligent models and scalable backend architectures.
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.
Interested candidates can share their cv to
Job Type: Full-time
Pay: ₹2,500, ₹3,500,000.00 per year
Work Location: In person
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