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AI/ML Engineer - Python/LLM

Resources valley
Multiple Locations
3 - 5 Years
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5white-divider7+ Reviews

Posted on: 20/07/2025

Job Description

Skills :

- Strong coding ability in Python and proficiency in SQL.

- Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate).

- Practical experience with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows.

- Familiarity with LangChain, LlamaIndex, or similar orchestration tools.

- Proven track record in delivering scalable AI systems on public cloud (Azure, AWS, or GCP).

- Experience building and optimizing RAG pipelines.

- Solid understanding of server less/cloud-native architecture and event-driven design.

- Integrate/expose the ai solution in applications using fastapi,flask,django


Preferred or Good to Have Skills :

- Exposure to agentic AI patterns and multi-agent coordination.

- Knowledge of AI system safety practices (e.g., hallucination filtering, grounding).

- Experience with MLOps tools (MLflow, KubeFlow) and CI/CD for ML.

- Understanding of concept/data drift and retraining strategies in production.

- Experience working on AI projects involving classification, regression, and clustering models.

- Prior work on multi-modal AI pipelines (vision + language).

- Familiarity with real-time inference tuning (batching, concurrency).

- Demonstrated ability to deliver a variety of AI solutions in production environments across domains.


Any Other :


- Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.

- Strong analytical mindset with a clear focus on business-aligned AI delivery.

- Excellent verbal and written communication skills.


Key Responsibilities :


- Collaborate with the Solution Architect to design agentic AI systems (e.g., ReAct, CodeAct, Self-Reflective Agents).

- Build and deploy scalable RAG pipelines using vector databases and embedding models.

- Integrate modern AI tools (e.g., LangChain, LlamaIndex, Kagi, Search APIs) into solution workflows.

- Optimize inference performance for cloud and edge environments.

- Contribute to the development of feedback loops, drift detection, and self-healing AI systems.

- Deploy, monitor, and manage AI solutions on cloud platforms (Azure, AWS, or GCP).

- Translate business use cases into robust technical solutions in collaboration with cross-functional teams.


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Posted By

Manind

HR at Resources valley

Last Active: NA as recruiter has posted this job through third party tool.

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Applications:  107
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Posted in

AI/ML

Functional Area

ML / DL Engineering

Job Code

1516377