Data Scientist | 6 to 9 years | PAN India

Job Responsibilities

Short Description

We are looking for a highly skilled and innovative Data Scientist - AI/ML & Generative AI Architect and Developer with deep expertise in Python, Data Science, and Artificial Intelligence. The ideal candidate will have a strong foundation in computer science, hands-on experience in building and deploying AI/ML models, and a passion for exploring the frontiers of Generative AI. This role requires a blend of architectural vision and hands-on development to deliver cutting-edge AI solutions across domains.

Key Responsibilities:

• Design and implement scalable AI/ML architectures using Python and modern frameworks.
• Develop and deploy Generative AI models (e.g., LLMs, diffusion models) for real-world applications.
• Lead end-to-end data science projects: data collection, preprocessing, modeling, evaluation, and deployment.
• Collaborate with cross-functional teams including data engineers, product managers, and researchers.
• Translate business problems into AI/ML solutions and communicate results to stakeholders.
• Stay up to date with the latest advancements in AI/ML and GenAI technologies and integrate them into solutions.
• Ensure compliance with data governance, security, and ethical AI practices.

Primary Skills (Must-Have):

• Strong programming skills in Python with experience in libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Transformers.
• Deep understanding of machine learning, deep learning, NLP, and Generative AI techniques.
• Experience with LLMs, prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation).
• Hands-on experience in data analysis, data processing, and model deployment.
• Experience with cloud platforms (Azure, AWS, or GCP) and MLOps tools.
• Strong grasp of computer science fundamentals including algorithms, data structures, and system design.

Secondary Skills (Good-to-Have):

• Experience with data visualization tools (e.g., Plotly, Dash, Streamlit).
• Familiarity with DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Knowledge of scientific computing, research methodologies, and academic publishing.
• Exposure to multi-modal AI, image generation, or audio synthesis.
• Understanding of ethical AI, bias mitigation, and AI governance.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
• 10+ years of experience in software development, with at least 5 years in AI/ML.
• Proven track record of delivering AI/ML solutions in production environments.