Data Scientist-Generative AI Engineer

Capgemini
Tampa, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 96K

Job location

Tampa, United States of America

Tech stack

API
Artificial Intelligence
Databases
Continuous Integration
Information Engineering
Software Debugging
Python
Machine Learning
Performance Tuning
TensorFlow
Software Engineering
PyTorch
Large Language Models
Deep Learning
Generative AI
Backend
Machine Learning Operations
Artificial Intelligence Markup Language (AIML)
Docker
Microservices

Job description

We are seeking a highly skilled AI Solutions Developer with strong expertise in building end to end AIML applications using Python and modern AI frameworks such as LangChain, PyTorch and TensorFlow. The role involves designing developing and deploying intelligent solutions including LLM powered applications machine learning models automation pipelines and AIdriven integrations., AIML Model Development Design build and optimize machine learning and deep learning models using PyTorch, TensorFlow and related frameworks LLM Generative AI Solutions Develop applications powered by Large Language Models using LangChain vector databases embeddings and prompt orchestration frameworks Python Based Application Development Build scalable AI services automation tools and backend components using Python Data Engineering Pipelines Prepare transform and manage datasets build feature pipelines and model training workflows Model Deployment MLOps Deploy models into production using APIs containerization Docker CICD and cloud platforms Evaluation Optimization Perform model tuning evaluation and performance optimization to ensure accuracy efficiency and reliability CrossFunctional Collaboration Work closely with product engineering and business teams to translate strategic requirements into AI driven technical solutions Experimentation Research Stay uptodate with emerging AI technologies evaluate new tools and prototype innovative solutions

Requirements

Strong handson experience with Python for AIML development. Proficiency with PyTorch, TensorFlow or similar deep learning frameworks. Experience developing LLM based applications using LangChain embeddings vector databases FAISS Chroma Pinecone or similar technologies. Ability to design and implement endtoend ML pipelines training validation deployment. Strong understanding of machine learning concepts NLP and deep learning architectures. Solid experience with APIs microservices and cloudbased deployment. Strong analytical debugging and problemsolving skills.

Benefits & conditions

The base compensation range for this role in the posted location is: $90,000 - $96,000/Yearly

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

  • Life and disability insurance

  • Employee assistance programs

  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

About the company

Capgemini ist einer der weltweit führenden Anbieter von Management- und IT-Beratung, Technologie-Services und Digitaler Transformation. Als ein Wegbereiter für Innovation unterstützt das Unternehmen seine Kunden bei deren komplexen Herausforderungen rund um Cloud, Digital und Plattformen.

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