AWS SageMaker Data Scientist

Position Title : AWS SageMaker Data Scientist

Location : Charlotte, NC (Onsite/Hybrid)

Experience : 8 Years

Employee Type : Full Time with Benefits

Job Description

We are seeking a highly skilled AWS SageMaker Data Scientist with deep expertise in building, deploying, and optimizing machine learning solutions on AWS. The ideal candidate will have strong experience with modern ML architectures (including transformers), end-to-end pipeline development, and ML Ops best practices across the AWS ecosystem. This role requires a hands-on technologist who can collaborate with cross-functional teams to translate business needs into scalable AI/ML solutions.

Must Have skills:

• 8 years of hands-on experience in data science, machine learning, or applied AI.
• Strong expertise in transformer models, ML architectures, and algorithm development.
• Proven experience with Amazon SageMaker, AWS Bedrock, and MLflow.
• Advanced programming skills in Python or R.
• Experience with AWS analytical and data services including Athena, Redshift, EMR, Glue, and Lambda.

Key Responsibilities:

• Design and implement end-to-end machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3.
• Perform data collection, cleaning, and feature engineering to prepare datasets for modeling.
• Develop predictive models and statistical analyses using Python, R, or similar tools.
• Deploy, monitor, and optimize ML models in production environments using AWS ML Ops best practices.
• Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability.
• Utilize AWS analytics services (Athena, Redshift, QuickSight, EMR) for advanced reporting and visualization.
• Work with stakeholders to translate business objectives into data science solutions and actionable insights.
• Apply AI/ML algorithms for use cases such as forecasting, anomaly detection, NLP, computer vision, and recommendation systems.
• Maintain compliance with security and governance standards for data management on AWS.

If your Interested, Kindly, share us your resume on abuzar.umar@capgemini.com

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 $95,320 to $110,458 /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.