We are looking for a passionate and skilled Data Scientist / AI Engineer with 2- 3 years of hands-on experience in building, deploying, and optimizing data-driven solutions.

Youll work closely with our product, engineering, and research teams to design and implement models spanning classical machine learning, deep learning, and generative AI pipelines.

Key Responsibilities :

- Build, train, and evaluate machine learning and generative AI models for real-world use cases.

- Develop and maintain data pipelines, preprocessing workflows, and feature engineering processes using Python or PySpark.

- Work with LLMs (e.g., GPT, Llama, Claude) for tasks like retrieval-augmented generation (RAG), summarization, and content generation.

- Fine-tune, evaluate, and optimize models for accuracy, latency, and scalability.

- Collaborate with cloud and MLOps teams to deploy models using frameworks like AWS Sagemaker, Azure ML, or Vertex AI.

- Perform data exploration, visualization, and statistical analysis to derive actionable insights.

- Stay updated with emerging trends in GenAI, NLP, and multimodal AI, and translate them into practical implementations.

Required Skills :

- Programming : Strong proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow).

- AI / ML : Practical experience with supervised, unsupervised, or reinforcement learning algorithms.

- GenAI : Exposure to LLMs, prompt engineering, embeddings, and vector databases (Pinecone, FAISS, Chroma, etc.).

- Data Engineering : Experience working with large-scale structured and unstructured datasets.

- Cloud & MLOps : Familiarity with containerized deployments (Docker, Kubernetes) and cloud AI platforms (AWS, Azure, or GCP).

- Analytics & Visualization : Experience with Power BI, Tableau, or similar visualization tools is a plus.

Must have :

- Experience in LangChain, OpenAI API, or Hugging Face Transformers.

- Knowledge of retrieval-augmented generation (RAG) and agentic AI systems.

- Prior work on end-to-end AI product development or POC creation.

- Understanding of SQL and data warehouse technologies.

Education :

Bachelors or masters degree in computer science, Data Science, Artificial Intelligence, or a related field.

What We Offer :

- Opportunity to work on cutting-edge AI & Generative AI projects.

- Mentorship from senior architects and researchers.

- Fast-paced, innovation-driven culture with career growth paths toward AI Specialist / Applied Scientist / MLOps Engineer.