Data Scientist with Python AIML

Title : Data Scientist with Python AI / ML

Location : Atlanta GA (Inperson interview needed)

Position type : W2 contract.

Job Description :

We are looking for a highly capable Technical Lead Python & AI / ML with deep expertise in backend engineering LLM-based applications RAG architectures and AI agent frameworks.

You will lead the design development and deployment of production-grade AI systems built on Python modern LLM tooling retrieval engines embeddings and vector databases.

This is a hands-on leadership role focused on building scalable and intelligent AI products.

Investment Banking and financial domain is needed.

Key Responsibilities

• Lead the architecture and development of LLM-driven applications AI agents and RAG-based systems.
• Provide technical guidance conduct code reviews and mentor junior team members.
• Drive best practices in Python backend engineering API development and AI system design.

Backend Engineering (Python)

LLMs RAG and AI Agent Development

Develop autonomous or semi-autonomous AI agents with tool calling and workflow graphs.

Implement Retrieval-Augmented Generation (RAG) embedding pipelines chunking strategies reranking and grounding techniques.

Work with OpenAI SDK and other LLM providers (Anthropic Azure OpenAI Cohere etc.).

Manage prompt engineering prompt routing safety guardrails and evaluation metrics.

Data & Vector Search Engineering

Build data pipelines for indexing embeddings and retrieval workflows.

Work with SQL databases (PostgreSQL MySQL etc.) for metadata and application storage.

Work with vector databases such as : Redis Postgres with pgvector Elasticsearch Neo4j or others.

Implement and optimize search workflows using FAISS or similar similarity search libraries.

MLOps Deployment & Observability

Deploy AI services using Docker container orchestration and cloud environments.

Implement monitoring for AI behavior performance error rates and retrieval accuracy.

Set up CI / CD pipelines for backend and AI components.

Optimize inference cost latency and reliability.

Cross-Functional Collaboration

Collaborate with product data engineering and business teams to understand requirements.

Translate business problems into scalable AI architectures and deliver practical solutions.

Communicate technical decisions trade-offs and progress to stakeholders.

Required Qualifications

Bachelors / Masters degree in Computer Science AI / ML Data Science or related fields.

10 years of experience in Python backend development .

Strong proficiency in FastAPI or Flask .

Strong working knowledge of SQL databases (Postgres MySQL etc.).

Hands-on expertise with vector databases :

Redis Postgres / pgvector Elasticsearch or Neo4j .

Practical experience with FAISS for similarity search.

Hands-on experience with modern LLM frameworks :

LangChain LangGraph Semantic Kernel Haystack LlamaIndex AutoGen .

Strong understanding of :

Experience building AI apps using OpenAI SDK or similar.

Experience deploying APIs / services using Docker and cloud environments.

Leadership experience : guiding teams conducting reviews driving architecture decisions.

Key Skills

Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills

Employment Type : Full Time

Experience : years

Vacancy : 1