Required Skills

Data Scientist AWS Machine learning services Python AWS Machine Learning Model Development Validation Model Performance monitoring LLMS

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 14th Jan 2026

JOB DETAIL

1. Partners with business team to understand business problems and objectives Conducts sophisticated analytics using predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives.

2. Use large amounts of both structured and unstructured data (internal and external) to build AI/ML modeling solutions.

3. End-to end experience of model development life cycle including model performance monitoring and model feature development.

4. Provide Subject Matter Experts (SMEs) support on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation.

5. Works with IT to research architecture for new products, services, and features.

6. Bi-weekly stakeholder updates on status of work and delivery timelines

7. Having strong Analytical skills, logical reasoning, and good communication skills

Competencies:  Digital : Python, Digital : DevOps, Digital: Terraform

Essential Skills: 

1. Python, AWS, Machine Learning Model Development, Validation, Model Performance monitoring

2. Build predictive models, LLMs, NLP models, and machine-learning algorithms to discover insights, trends, and patterns

3. Model Performance monitoring4. Model feature development, Graph model development

5. Ability to analyze/understand the model development life cycle from business perspectives and provide end to end data science consulting.

6. Experience of delivering machine learning models in AWS

7. Customer engagement and Stakeholder management

8. Strong & Assertive communication skills

9. Experience handling distributed teams in India and Mexico

10. Good to have experience of deploying machine learning models in production

Company Information