Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer

Work Location & Reporting Address: Fort Worth, TX 76155 (Onsite-Hybrid. Local candidates only)

Contract duration: 6 Months

​​​​​​​Interview Mode- In-person Interview

Must Have Skills:

⦁Master’s/PhD degree with 3 years of experience in quantitative discipline (e.g., Data Science, Machine Learning Engineer, Computer Science, Applied Mathematics, Statistics, etc.)

⦁Experience with Python programming language

⦁Practical experience with data extraction, cleaning, and analysis

⦁Depth of knowledge in statistical and machine learning techniques

Nice to Have Skills:

⦁8 years of experience in a technical professional environment, in addition to the minimum requirements

⦁Experience with SQL and data visualization (Tableau, PowerBI)

⦁Practical experience designing, building and deploying machine learning models

⦁Experience in using cloud platforms and parallel processing to scale model development/ deployment (Databricks, Azure)

⦁Domain knowledge in the airline industry

⦁Experience working in a consulting role

Detailed Job Description:

Top 3 Must Have Skills:

⦁MS or PhD in Data Science, Computer Science, Statistics, or related field

⦁Strong Python expertise (production-grade coding, modularization, testing, performance tuning)

⦁Hands-on experience with Machine Learning pipeline development and productionization (model deployment, orchestration, monitoring, and optimization)

Nice to Have Skills and Experience:

⦁Experience with Databricks / Spark-based ML pipelines

⦁Proficiency in SQL and working with large-scale datasets

⦁Experience with ML lifecycle tools (e.g., MLflow, CI/CD, model monitoring)

Describe a great candidate that you are looking for and what skills and experience they will have:

⦁Has proven experience taking ML models from prototype to production with Python and Databricks.

⦁Demonstrates strong skills in code optimization, debugging, and system integration.

⦁Understands the end-to-end ML lifecycle, including deployment and monitoring.

⦁Is comfortable working with existing codebases and improving them, rather than only building new models.

⦁Clear communication and effective collaboration.

What is the team environment and structure like?:

⦁Centralized Machine Learning team supporting 7 business units

⦁Team consists of Senior to Principal-level Data Scientists

⦁Collaborative, supportive, and high-performing culture

⦁Strong focus on quality, innovation, scalability, and measurable revenue impact

How will the resource(s) fit into your team?:

⦁The resource will embed within the centralized ML team and support the Customer Intelligence CBI productionization initiative.

⦁Take ownership of productionizing ML pipelines, including code refactoring and system optimization

⦁Collaborate closely with data scientists, data engineers, and product partners

⦁Accelerate delivery of scalable, production-ready ML solutions

Skills, Licenses & Certifications

• ⦁Ability to effectively communicate both verbally and written with all levels within the organization

• ⦁Demonstrated motivation and aptitude for logical analysis, problem identification, and problem solving

• ⦁Ability to view data from different angles to employ feature engineering techniques to better represent models

• ⦁Ability to work on a diverse team with diverse skillsets

• Minimum Years of Experience:

• ⦁3 years

• Job type: Contract Division: eTeam Inc (US) Category: eTeam United States Reference: 26-63167