AI/ML Engineer | GT

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Requirements:

• At least 2 years of AI/ML experience
• 3+ years of Python experience
• Experience with Generative AI and LLMs
• Advanced RAG techniques implementation
• Experience with vector databases (Weaviate DB or Milvus db)
• Time-series forecasting tools: Prophet, ARIMA, or TimeGPT
• Databricks experience
• Experience in model deployment
• Experience with similarity, NLP, labeling, clustering, and data cleaning solutions
• Cloud platform experience (AWS, GCP, or Azure)
• Git version control
• SQL knowledge
• PyTorch
• LlamaIndex or LangChain
• Hugging Face Transformers
• Pandas/NumPy for time-series data manipulation
• LLM evaluation frameworks (e.g DeepEval)
• At least Upper-intermediate English

Responsibilities:

• Understand and translate end-user requirements into technical solutions
• Develop solutions for semantic similarity, NLP, labeling, clustering, and vector search problems
• Design and implement rapid proof-of-concept solutions
• Participate in discovery stages with clients to define problem scope and solution approaches
• Present work results and contribute ideas in team meetings
• Create and maintain documentation for ML systems and processes
• Stay current with ML/AI advancements and evaluate new techniques for potential implementation