Lead design and implementation of scalable batch and real-time feature pipelines, own MLOps practices, contribute to feature store and platform architecture, optimize performance and cost, ensure feature quality and monitoring, deploy and resolve production incidents, and mentor junior engineers.
Work Location: Pittsburgh
Work Mode : Onsite
Pay Range :$110K-$125K /Yr Base + Annual Bonus
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
Job Summary:
Lead the design and development of scalable feature platforms and ML pipelines. Own MLOps practices, contribute to platform architecture, and mentor engineers while incorporating key data engineering best practices. The person is expected to do hands on work as well.
Responsibilities
Key Responsibilities:
- Design and implement scalable, reusable feature pipelines (batch and real-time)
- Develop advanced feature transformations and complex data models
- Optimize performance, latency, and cost efficiency
- Ensure feature quality, validation, and SLAs
- Work closely with data engineering teams on upstream data pipelines and ingestion design
- Contribute to feature store and data platform architecture
- Collaborate across Data Science, MLOps, and Platform teams
- Lead production deployment, monitoring, and incident resolution
- Mentor junior engineers and drive engineering best practices
- Translate business use cases into scalable feature logic
Must-Have Skills:
- Advanced Python and SQL
- Strong experience with distributed processing (Spark / Flink)
- Deep expertise in feature engineering patterns
- Strong understanding of data pipelines and ETL architecture
- Experience with feature stores
- Strong understanding of ML lifecycle and model optimization
- Experience with CI/CD, monitoring, and production systems
- Cloud platform experience (Azure / AWS / GCP)
- Experience in data quality, validation, and drift detection
Good to Have:
- Experience building enterprise feature or ML platforms
- Advanced performance tuning and cost optimization
- Exposure to broader data platform architecture
- Strong stakeholder communication and leadership experience
Experience:
- 6–10+ years with mentoring/technical leadership experience
Qualifications
Required skills:
- Advanced Python and SQL
- Strong experience with distributed processing (Spark / Flink)
- Deep expertise in feature engineering patterns
- Strong understanding of data pipelines and ETL architecture
- Experience with feature stores
- Strong understanding of ML lifecycle and model optimization
- Experience with CI/CD, monitoring, and production systems
- Cloud platform experience (Azure / AWS / GCP)
- Experience in data quality, validation, and drift detection
Similar Jobs
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Lead supplier quality for Printed Wiring Boards: audit suppliers, perform source and first-article inspections, drive root-cause analysis and corrective actions, implement process improvements, and ensure compliance with PWB and aerospace standards to deliver first-time quality.
Top Skills:
ApqpAs9100As9102Asme Y14.5Asme Y15.1Black BeltControl PlanFirst Article InspectionGreen BeltIpc-6012Ipc-6013Ipc-6018Ipc-A-600Ipc-A-610Ipc-Tm-650Lean Six SigmaMil-Prf-31032Mil-Prf-38534Mil-Prf-55110Mil-Std-883PfmeaPpapSource Inspection
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Support and maintain complex applications and infrastructure for a government customer: monitor and triage events, troubleshoot Linux/Windows servers, deploy and integrate software (AWS, CloudFormation, RDS), use Salt for configuration management, work with databases (Oracle, MongoDB, PostgreSQL, MySQL), write SOPs, manage security groups, and support after-hours deployments. Requires strong communication and collaboration with developers and vendors.
Top Skills:
AWSCloudFormationElasticsearchJavaScriptLinuxMongoDBMySQLOraclePostgresPythonRdsSaltstackWindows Server
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Lead supplier quality for printed wiring boards (PWBs): audit and assess suppliers, drive failure analysis and corrective actions, perform source and first-article inspections, implement quality tools (PPAP/FAI, PFMEA), and deliver supplier improvement plans. Requires PWB manufacturing expertise, IPC certifications, MIL and AS standards knowledge, and frequent supplier travel.
Top Skills:
ApqpAs9100As9102Asme Y14.5Control PlanFaiGreen/Black BeltIpc-6012Ipc-6013Ipc-6018Ipc-A-600Ipc-A-610Ipc-Tm-650Lean Six SigmaMil-Prf-31032Mil-Prf-38534Mil-Prf-55110Mil-Std-883PfmeaPpapProduction Part Approval ProcessSource Inspection
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
