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Data Science Expert

Data Science Expert

InfoCepts

7 years

7 - 9 Lacs

chennai

Posted:3 days ago| Platform: GlassDoor logo

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Skills Required

data design development ai python model deployment prototype ml inference collaboration devops integration testing troubleshooting resolve agile planning code numpy tensorflow pytorch tuning retrieval elasticsearch git docker kubernetes aws azure gcp sql engineering orchestration software architecture api microservices monitoring communication mentoring coding collaborative

Work Mode

On-site

Job Type

Part Time

Job Description

Location: Bangalore / Pune / Chennai / Nagpur

Travel: As per client requirements

Type of Employment: Full time

Key Result Areas and Activities:

Design & Development: Build production-grade AI applications using Python, APIs, and LLM workflows.
LLM Solutions: Develop and optimize solutions like RAG pipelines, vector search, and prompt engineering.
Model Deployment: Convert prototype ML/LLM models into scalable, high-performance inference systems.
Collaboration: Work with data scientists and DevOps teams for deployment and integration with cloud platforms.
Quality: Implement automated testing and CI/CD practices for AI systems.
Troubleshooting: Resolve technical issues and ensure system reliability.
Agile Participation: Contribute to sprint planning and daily stand-ups.
Conduct code reviews as a lead and mentor junior engineers.

Work and Technical Experience:

Essential Skills:

Expert-level proficiency in Python and experience developing scalable production applications.
Hands-on experience with ML and data libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
Strong understanding of LLM architectures (GPT, BERT, T5, LLaMA), embeddings, and fine-tuning.
Practical experience with Retrieval-Augmented Generation (RAG), FAISS/Elasticsearch, and vector databases.
Proficiency with Git, CI/CD pipelines, Docker, Kubernetes, and model deployment tools.
Experience with cloud platforms and ML services (AWS, Azure, or GCP).
Understanding of SQL and data pipelines for feature engineering and inference.
Proven track record of delivering real-world, production-grade AI solutions.

Desirable Skills:

Familiarity with agentic workflows and model orchestration frameworks.
Strong knowledge of software architecture, API design, microservices, and distributed systems
Experience implementing automated testing and monitoring for ML/LLM services

Qualification:

Bachelor’s degree in computer science, Software Engineering, or related field; master’s degree preferred
Minimum 7 years of experience in software development, with at least 5 years focused on AI/ML applications

Qualities:

Excellent problem-solving skills and ability to debug complex issues in production environments
Strong communication skills with the ability to collaborate effectively with cross-functional teams
Experience mentoring junior engineers and establishing coding standards and best practices
Ability to work effectively in a fast-paced, collaborative environment with changing priorities

Location

India

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