Machine Learning Data Engineer

Key Skills

Agile methodologies, AWS, AWS Sagemaker, Continuous Integration & Continuous Delivery - CI/CD, Data Visualization, Databricks, Github, Lambda, Machine learning techniques, PowerBI, Python Programming, Scrum Agile Methodology, Spark Core, SQL, Tableau

Job Description

A little about us...

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world.

Role: Data Science Engineer / Machine Learning Engineer

Onsite: Plano, TX

Job description:

Required Skills –

• 5+ years of experience in Data Science

Excellent knowledge and expereince of Python and SQL

• Strong interest in exploring all aspects of data and possess the ability to communicate insights effectively, while also concentrating on the technical solutions underlying them.
• Proficient in analyzing and modeling big data utilizing statistical, machine learning, and deep learning techniques.
• Expertise in transforming ambiguous questions into impactful experiments, analysis, or models.
• Familiarity with modeling requirements for Customer 360 and Customer Journey.
• Experience with Machine Learning platforms (AWS Sagemaker, Databricks), Data Pipelines (Spark, Airflow), CI/CD, GitHub, and visualization (Power BI/Tableau).
• Have a degree in a quantitative field such as Computer Science/Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable.

Job Responsibilities:

• Utilize machine learning and deep learning models to create consumer intelligence, such as Next Best Action, Behavior Models, and Churn, for customer-centric business teams.
• Write production level test driven code in Python and SQL
• Analyze large datasets to uncover insights that inform marketing and customer-centric investments.
• Plan and execute experimentation initiatives, ensuring cross-functional alignment, robust analysis, and practical insights.
• Develop data-driven products that provide clear insights and recommendations to non-technical audiences through visualizations and presentations.
• Work collaboratively with product managers, senior scientists, engineers, and other team members in an agile and scrum environment to fulfill modeling needs.

Preferred:

• Experience with deploying ML model in production.
• An advanced degree (MS or PhD)
• Hands-on experience with developing Machine Learning models for marketing campaigns.

How will you grow?

• Role-based Training programs
• Continuing Education Programs (CEP) to enhance your knowledge, skills, and attitude as a professional
• We encourage you to acquire various beneficial international certifications, with costs s reimbursed
• Our role-based workshop helps us groom future leaders for LTI

What's in it for you?

• Excellent benefits plan: medical, dental, vision, life, FSA, & PTO
• Roll over vacation days
• Commuter benefits
• Excellent growth and advancement opportunities
• Certification reimbursement
• Rewards and recognition programs
• Innovative and collaborative company culture

We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law.