Model Fine Tuning Data Jobs

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20d ago

Junior Data Scientist

Capgemini Atlanta, GA

Atlanta, GA

20d ago

$56k - $88k/yr Full time AI Ai Ml Artificial Intelligence

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Job Description

Capgemini is hiring a Junior Data Scientist to help build and deploy AI-driven solutions that support customer engagement, personalization, recommendation, decision optimization, and customer insights. This hybrid role in the U.S. focuses on end-to-end work across predictive modeling, recommender systems, optimization, and GenAI, with an emphasis on responsible AI practices and practical deployment at scale.

What you’ll do

Develop and deploy AI solutions across use cases including customer engagement, personalization, recommendation, decision optimization, and customer insights.
Partner with business stakeholders while applying advanced AI/ML tools and platforms to solve a range of business problems.

Core requirements

Education: Master’s or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline.
Experience: 5 years of prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fields.
Experience with unsupervised and supervised machine learning, including predictive modeling, propensity models, recommender systems, deep learning, and graph-based learning techniques.
Hands-on work with advanced NLP frameworks (such as Transformers), plus experience with GenAI solutions and LLMs.
Experience formulating and solving optimization problems.
Knowledge of model evaluation, tuning, performance measurement, deployment, and solution scalability.
Strong verbal and written communication skills, with the ability to present and communicate effectively to both business and technical teams.

Technologies and tools

Python, SQL, MLOps, Scikit-learn, TensorFlow, PyTorch, and Hugging Face
AWS Sagemaker
GenAI solutions including RAG, agentic AI workflows, LLM evaluation frameworks, Transformers, LLMs, and LLM Finetuning
Knowledge retrieval, Feature engineering, A/B testing, and graph-based learning techniques

Location and work setup

Westlake TX / Smithfield RI / Boston MA / Merrimack NH / Durham NC (Day One Onsite - Hybrid)

Additional skills

Experience applying ML/DL/econometric and foundation models for time series forecasting.
Experience with knowledge graphs and graph-based learning approaches.
Experience with constraint or mathematical programming, including optimization packages and solvers (for example, IBM ILOG CPLEX, Gurobi, Google OR-Tools).

Compensation and salary transparency

The base salary range for the tagged location is $56,186 to $87,556 per year. This role may be eligible for other compensation including variable compensation, bonus, or commission.

Benefits

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits including adoption assistance, surrogacy, and cryopreservation
Social well-being benefits such as subsidized back-up child/elder care and tutoring
Mentoring, coaching, and learning programs
Employee Resource Groups
Disaster Relief
Paid time off based on employee grade (A-F), including Vacation: 12-25 days depending on grade, plus Company paid holidays, Personal Days, and Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (for example, 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs

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