Akkodis Group Nordics · 21 hours ago
Gen-AI Data Science Engineer
Akkodis Group Nordics is seeking a Gen-AI Data Science Engineer for a contract role with a client in Hartford, CT. The role involves designing autonomous workflows and building end-to-end machine learning pipelines, leveraging expertise in LLM-based agent development.
Embedded SystemsSoftware
Responsibilities
Design, build, and optimize LLM‑based autonomous agents to support reasoning, planning, and complex task execution
Develop and deploy machine‑learning models, including supervised, unsupervised, deep learning, and generative approaches
Build scalable ML and Gen‑AI pipelines, including RAG architectures using vector databases such as FAISS, Pinecone, or Chroma
Perform data exploration, feature engineering, and large‑scale data transformation using Python, SQL, Spark, or Beam
Collaborate with data engineers, data scientists, and business stakeholders to translate business needs into AI‑driven, end‑to‑end automated solutions
Implement software engineering best practices, including version control, model monitoring, and integration with enterprise APIs and cloud platforms
Qualification
Required
Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, or a related technical field
8–10 years of hands‑on experience in machine learning, data engineering, and Gen‑AI/LLM‑based solution development
Proven expertise in designing and deploying LLM‑based autonomous agents and scalable ML/Gen‑AI pipelines
Strong experience with cloud platforms, vector databases, RAG pipelines, and modern agentic frameworks (LangChain, AutoGen, CrewAI, etc.)
Preferred
Strong experience with cloud platforms (GCP preferred)
Benefits
Medical
Dental
Vision
Life insurance
Short-term disability
Additional voluntary benefits
EAP program
Commuter benefits
401K plan
Paid Sick Leave
Holiday pay
Company
Akkodis Group Nordics
Akkodis Group Nordics, operates as a specialized tech cluster, combining expertise in Digital Engineering and Edge Technology.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Reiten & Co
2020-03-16Acquired
2009-05-01Private Equity
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