Your role and responsibilities
The Data And AI team is a highly focused effort to lead digital-first execution and transformation at Red Hat leveraging data & AI strategically for our customers, partners, and associates. The engineering team is focused on building and delivering strategic AI Factory platform for building Skills and Agents, designed to augment human capabilities, accelerate business workflows, and scale operations across the enterprise.
In this role, you'll take ownership of end-to-end AI/ML systems, champion best practices, and deliver impactful, production-grade models. You'll work autonomously, mentor others, and collaborate with data, engineering, and product teams to bring AI features into production.
What you will do?
- Design, build, and evolve ML pipelines that cover data ingestion, preprocessing, feature engineering, training, validation, deployment, and monitoring.
- Design, build, and evolve MCP server, Skills and Agents that enable and empower Red Hatters to do business efficiently.
- Translate research prototypes and models into production-quality code, ensuring robustness, scalability, and maintainability.
- Select appropriate algorithms and modeling techniques, perform hyperparameter tuning, and conduct comparative experimentation.
- Evaluate and validate model performance using advanced metrics (e.g. ROC-AUC, precision/recall curves, calibration, fairness, drift) and set up continuous validation/regression checks.
- Collaborate with software engineers, data engineers, and SRE/DevOps to integrate ML services into broader systems.
- Instrument models and systems with monitoring, logging, alerting, and automated healing or scaling mechanisms.
- Troubleshoot and resolve production incidents, root-cause errors, data drifts, performance regressions, or infrastructure issues.
- Mentor more junior engineers, lead code reviews, and help establish ML lifecycle and quality standards.
- Stay current with emerging ML research, frameworks, and tooling, and proactively propose improvements or experiments.
Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
Required technical and professional expertise
- Bachelor's degree in Computer Science, Computer Engineering, or related field.
- 5+ years of software development experience with a focus on machine learning pipelines or machine learning applications or building ML platforms
- Exceptional software engineering skills that lead to elegant and maintainable data platform
- Proficiency in at least one general purpose programming language, eg. Python, Go, Java, Rust, etc.
- Loosely held strong opinions and perspectives that you kindly debate, defend, or change to ensure that the entire team moves as one
- Sets and resets the bar on all things quality, from code through to data, and everything in between
- Deep empathy for your users of your platform, leading to a constant focus on removing friction, increasing adoption, and delivering business results
- Prunes and prioritizes work in order to maximize your contributions and impact
- Bias for action and leading by example
- Past experience in building enterprise data platforms that have a high level of governance and compliance requirements
Preferred technical and professional experience
- Familiarity with open source or inner source development and processes
- Familiarity of data mesh architectural principles
- Experience with Snowflake, Fivetran, dbt, Airflow / Astronomer
- Deep hands on knowledge of Vector Databases, RAG Pipelines is a huge plus.
Personal qualities and communication
- Communication skills and experience in interacting with cross functional business and engineering teams
- Capability in undertaking business needs analysis in direct consultation
- Motivated with a passion for quality, learning and contributing to collective goals
- Excellent communication, presentation, and writing skills
OTHER RELEVANT JOB DETAILSIBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:
- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences
We consider qualified applicants with criminal histories, consistent with applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
