Data Scientist

Job Title: Data Scientist

Location: Onsite – Bangalore
Experience Required: 7+ Years
Employment Type: Contract 6 months
Joining Timeline: Immediate Joiner

Job Summary:

ALIQAN Technologies is hiring a seasoned Data Scientist with a strong background in AI/ML/LLM-based solutions. The ideal candidate will develop and deploy cutting-edge models, work on Retrieval-Augmented Generation (RAG), and manage production-grade pipelines using tools like Databricks, LangChain, LLaMA, and more. This is an excellent opportunity to build intelligent applications and collaborate with cross-functional teams to drive business value.

Key Responsibilities:

• Build and implement AI/ML/LLM applications using Python, scripting, and robust pipelines.
• Develop and deploy RAG workflows using LangChain, LlamaIndex, and open-source LLMs (e.g., LLaMA).
• Work with vector databases such as pgvector (Postgres), Pinecone, Milvus, ChromaDB, etc.
• Utilize Databricks, MLflow, Delta Lake, Apache Spark for scalable data and ML ops.
• Enable text-to-SQL/prompt-to-SQL functionalities via LLMs for structured queries.
• Build and deploy backend APIs with Flask or FastAPI for AI service integration.
• Manage end-to-end ML/Ops lifecycle, including CI/CD, monitoring, and retraining.
• Collaborate across engineering, product, and design teams to ship real-world AI products.
• Support demos/POCs and effectively communicate findings to non-technical stakeholders.

Required Skills & Experience:

• 6–8+ years hands-on experience in data science/ML/GenAI roles.
• Strong in Python (pandas, numpy) and scripting.
• Proven experience in Databricks, Apache Spark, and MLflow.
• Hands-on with LLaMA / open-source LLMs, prompt engineering, fine-tuning (LoRA, QLoRA, PEFT).
• Proficient in vector databases: pgvector, Milvus, Chroma, Pinecone, etc.
• Familiar with LangChain, LlamaIndex, Hugging Face, Transformers, scikit-learn.
• Backend development experience with Flask/FastAPI, and REST APIs.
• Comfortable with PostgreSQL, relational + vector search integration.
• Cloud proficiency (AWS, GCP, Azure), Docker, Kubernetes, and CI/CD tools.
• Deep understanding of MLOps/LLMOps and cost-efficient AI deployment.

Preferred (Good to Have):

• Experience with quantization, LoRA, GPTQ, model compression.
• Familiarity with Knowledge Graphs, Neo4j, Autogen, LangGraph.
• Exposure to Redis Stack, Elasticsearch (with vector search), or AWS Lambda.
• Prior work on multi-agent systems and AI orchestration frameworks.

Job Type: Contractual / Temporary
Contract length: 6 months

Pay: Up to ₹160,000.00 per month

Work Location: In person