Full-Time
Machine Learning Data Engineer
Multiple Teams
Posted on 9/5/2025
Smart Working Solutions
51-200 employees
Provides offshore software developers on demand
No salary listed
Remote in India
Remote
 AI & Machine Learning (1) |
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 Data & Analytics (1) |
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- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- 3–4 years of experience in data analysis, BI, or ML analytics
- Python (pandas, NumPy, scikit-learn): 3+ years, with strong SQL skills. (R is an advantage.)
- Power BI (data models, DAX): 2+ years, including Power Query (M) and advanced Excel (pivots, complex formulas)
- Data warehousing & ETL: 2+ years, including statistics for A/B testing, sampling, and bias checks
- Databases: PostgreSQL, DynamoDB (or equivalent)
- Familiarity with LLM concepts and evaluation methods
- Exposure to cloud data services (AWS/Azure) and ML Ops tooling (feature store, experiment tracker, model registry, monitoring)
- Perform hypothesis-led analysis over large datasets to uncover trends, drivers, and client-ready narratives.
- Build and maintain industry benchmark datasets that power reports and dashboards, with tight definitions and version control.
- Deliver clear, actionable Power BI reports for clients and internal stakeholders; maintain stand-alone reports in third-party tools where required.
- Own performance dashboards, operational processes, model registry/version control, and experiment tracking.
- Monitor drift and bias, validate improvements, and manage safe deployment/rollback.
- Keep the feature store up to date, ensuring training data lineage and reproducibility.
- Partner on productised evaluations (automated tests, acceptance thresholds) and bias mitigation aligned to policy.
- Specify, design, and implement dashboards and reports, integrating with portals and APIs.
- Collaborate with platform/DB teams on robust data integration and storage patterns across PostgreSQL/NoSQL and data lake assets.
- Support Copilot auto-report creation, ensuring source-of-truth metrics and governance.
- Run client-specific studies to test hypotheses and meet project goals.
- Present findings clearly to non-technical audiences.
- Healthcare or life sciences exposure
- Relevant BI/analytics certifications (e.g., Microsoft Data Analyst)
- Experience with advanced ML Ops practices
Smart Working Solutions provides offshore software developers who are carefully vetted and ready to join a client’s team, work the client’s hours, and communicate daily. It sources, screens, and tests candidates and then assigns them to a project, with ongoing customer success support to ensure long-term success. The service emphasizes high 98% retention, experienced developers from top US and European companies, and cost savings compared to in-house hiring. Its goal is to deliver reliable offshore development teams that integrate with a client’s organization and sustain long-term collaboration at a lower cost.
Company Size
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
London, United Kingdom
Founded
2020
Simplify's Take
What believers are saying
- 358 remote developer jobs listed on Indeed, including 49 Full Stack roles.
- 49 Full Stack, 28 Front End, and 21 Senior Engineer positions available.
- High-detail roles align perfectly with meticulous vetting process.
What critics are saying
- Smart Outsourcing undercuts with 70% savings via EOR from Philippines.
- Aglowid captures India talent pool with cheaper ODC developers.
- 9.1% India IT wage hikes in 2026 collapse Lever-dependent pipeline.
What makes Smart Working Solutions unique
- Smart Working vets offshore developers from top US and European firms.
- Candidates integrate fully, matching client hours and communications.
- 98% retention rate backed by customer success team support.
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Benefits
Health Insurance
Flexible Work Hours