Develop and implement
machine learning and AI models
to solve complex business problems.
Collaborate with stakeholders to define project requirements and deliver actionable data insights.
Apply
statistical and machine learning techniques
for predictive and descriptive analytics.
Work on
Generative AI and LLM-based development
(OpenAI, AWS Bedrock, Azure OpenAI).
Implement
Retrieval Augmented Generation (RAG)
systems integrating vector databases and semantic search.
Design
secure data ingestion pipelines
for unstructured data, enabling efficient indexing and retrieval.
Generate and manage
text embeddings
for semantic search and information retrieval.
Stay updated with the latest advancements in AI/ML, Generative AI, and deep learning.
Collaborate with cross-functional teams to build scalable, production-ready AI solutions.

Preferred Candidate Profile:

5+ years of experience
in AI/ML, Generative AI, and data science roles.
Strong understanding of
machine learning, deep learning, and Generative AI
concepts.
Proficient in
Python, TypeScript, NodeJS, and ReactJS
.
Experience with
LangChain, LlamaIndex, and RAG
implementations.
Expertise in
cloud AI infrastructure
(AWS, Azure).
Familiar with
TensorFlow, PyTorch, Keras
, and data visualization tools (Matplotlib, Seaborn, Quicksight).
Hands-on experience with
Git or CodeCommit
for version control.
Excellent analytical, problem-solving, and communication skills.

Good to Have:

Experience building
knowledge graphs
in production.
Understanding of
multi-agent systems
for complex automation or decision-making tasks.

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