Role Python GenAI
Location - Jersey City NJ/Charlotte NC / Dallas TX / NYC
Type: W2-Contract / Full-Time
Job Description:
Looking for a hands-on AI Engineer to work on a high visbility Gen AI project involving summarization and chatbot supporting a huge volume of documents from various LOBs and of various types. This position is for a self-starter with strong technical skills as well as leadership qualities and should be able to effectively communicate difficult technical concepts.
Responsibilities:
- Leads the design development and implementation of complex data management storage applications
- Often using new technologies.
- Exercises judgment within broadly defined practices and policies in selecting methods techniques and evaluation criterion for obtaining results.
- Work leadership may be provided by assigning work and resolving problems.
- Requires a Bachelors degree or advanced degree and /or equivalent experience in related IS/IT discipline.
- Excellent written and verbal communication skills coupled with ability to translate business strategy into achievable tactics.
- Typically over 10 years of related IT experience.
Requirements:
- 2 years of professional experience as a data scientist executing end-to-end Gen AI projects using following technologies
- LLM Models (Llama Mixtral Mistral)
- Various inferencing mechanisms transformer/pipeline vllm
- Agentic framework: langgraph
- Evaluation frameworks: RAGAS langsmith phoenix-arize
- Embedding (all-MiniLM-L6-v2 all-mpnet-base-v2)
- LLM development framework : Langchain LlamaIndex
- Rest API FastAPI Websockets
- Enterprise Redis Database Qdrant Cockroach
- Must have experience of working with Model Risk Management/Model Governance which includes
- Delivering on a Gen AI project following the model governance guidelines
- Writing a model document
- Building model monitoring capabilities
- Strong programming experience with Python
- Angular experience a huge plus
- Experience with Slurm Hadoop/Hive Neo4J Apache Spark Kafka and MongoDB is a plus
- Knowledge of machine-learning techniques classifiers and statistical methods
- Advanced degree or equivalent experience in mathematics data science or other quantitative discipline
- Demonstrated success in executing high value enterprise projects with clear articulation of benefits costs and risk
- Superb communication coaching and management skills across multiple business stakeholders and IT as well as external partners
- Desire to use modern technologies as a disruptive influence within the Finance domain