Senior Data Scientist Engineer

Job Location - Atlanta GA (Day One Onsite - Hybrid)

Key Responsibilities

• Data Scientist expertise in Conversational AI, LLMs, NLP, and machine learning, with experience training, building and deploying production AI solutions.
• Advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool.
• Ability to perform solution architecture validations for LLMs.
• Familiarity with cloud computing platforms such as AWS, Google Cloud, or Azure for model deployment and scaling.
• The ability to write clean, efficient, and reusable code is essential in MLOps roles.
• Collaborates with cross-functional teams.
• Works with data scientists, product managers, and stakeholders to align AI solutions with business objectives.
• Builds and trains machine learning models.
• Optimizes performance.
• Ensures AI models operate efficiently, making adjustments based on statistical analysis and large data sets.
• Implements automation.
• Develops AI-driven solutions to streamline workflows and improve decision-making.
• Explores advancements in AI.
• Stays up to date with the latest technologies and frameworks to enhance the functionality and scalability of AI systems.
• Troubleshoots and improves AI applications.
• Resolves issues and optimizes systems for better performance and user experience.
• Develops AI prototypes.
• Builds initial versions of AI applications for testing and feedback before full-scale deployment

Required Skills

• 9+ years of hands-on experience in AI development, data analysis, and machine learning techniques and experience putting Machine Learning models into production.
• Experience using Mlflow or similar tools for lifecycle management of machine learning models.
• Experience in implementing LLMs using vector bases and Retrieval-Augmented Generation (RAG), as well as tuning models. Using GPTs, Llama, or any other LLM
• Experience in putting Generative AI (GENAI) models into production and providing support to them.
• Designs and develops AI systems.
• Builds algorithms and machine learning models to solve specific challenges across industries.
• Utilizes tools like TensorFlow and PyTorch to create models for tasks such as NLP, computer vision, and robotics.

Life At Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 

• 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 like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Salary Transparency

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 to $128656 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.