- 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.
location: Charlotte, North Carolina
job type: Contract
salary: $55.06 - 65.06 per hour
work hours: 8am to 5pm
education: Bachelors
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.
qualifications:
- 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.
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
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.
