ManpowerGroup
Role: Data Scientist/GenAI Developer
Number of Positions: 2
Accepted Locations: Jersey City, NJ – hybrid (3 days/week in the office)
Pay Rate: $68.26/hour
Contract Term: 12-18 months, with a potential for extension and/or a full-time conversion with the client
A specific project for this opening:
GenAI chatbot for CFO Group Must-have skills: Data Scientist with LLM development
Has been a part of E2E GenAI projects in an Enterprise-level environment
Main responsibilities for the selected candidate:
LLM Development Interview Process:
2 rounds, via video Webex Job Description: Looking for a hands-on AI Engineer to work on a high-visibility 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. 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 Bachelor’s 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. Skills: 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
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
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GenAI chatbot for CFO Group Must-have skills: Data Scientist with LLM development
Has been a part of E2E GenAI projects in an Enterprise-level environment
Main responsibilities for the selected candidate:
LLM Development Interview Process:
2 rounds, via video Webex Job Description: Looking for a hands-on AI Engineer to work on a high-visibility 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. 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 Bachelor’s 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. Skills: 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
ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
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