Machine Learning Engineer Full-time

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Role

Role: Machine Lreaning Engineer

Location: Alpharetta, GA

Job Description

8+ yrs of experience-Design, develop, and deploy machine learning models using Python

1. Hand on experience in Tensorflow Keras or Pytorch
2. Experience in Analyzing complex, high-volume, high-dimensionality data for building Data pipeline
3. ML Lifecycle
   • Data Preprocessing
   • Data Imputation
   • Feature engineering techniques
   • Data Synthesize
   • Data Augmentation
     • Exploratory Data Analysis
   • Data Visualization
     • Model Design & Training
   • Model design and develop using TensorFlow/Pytorch
   • Training
   • Validation
   • Fine-tuning
   • Hyper parameter tuning
   • Transfer learning
   • Experience in existing CNN,LSTM models
     • Model Deployment & inferencing
4. MLOPS
   • MFLOW
   • Databricks
5. NER model
6. Rest API
7. Any relational database

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, we’d love to hear from you with 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

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.