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The Gen AI-ML Engineer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Job Responsibility:
Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI
Design and implement intelligent chatbots
Process and analyze large datasets of structured and unstructured financial data
Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain
Develop and refine advanced prompting strategies for LLMs
Test, evaluate, and analyze the performance of LLM and other GenAI models
Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management
Communicate effectively with business stakeholders
Stay up-to-date with the latest advancements in GenAI research and development, including areas like Agentic AI
Requirements:
5 years+ of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications
Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts
Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex)
Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain
Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP)
Strong analytical, problem-solving, and communication skills
Experience with MLOps principles and tools
Excellent collaboration skills
Bachelor’s degree/University degree or equivalent experience
What we offer:
medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
discretionary and formulaic incentive and retention awards