Machine Learning Engineer
Talent Groups ·www.talentgroups.com
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Job Description
- As a Machine Learning Engineer, you’re a highly motivated individual with strong fundamentals in computer science and hands-on experience across the full model development lifecycle—including feature engineering, model development, calibration, deployment, and ongoing monitoring.
- In this role, you will be flexible, eager to learn new skills, and willing to contribute wherever the team needs support.
- This Machine Learning Engineer is comfortable working with both traditional tabular machine learning models and modern AI techniques, including prompt engineering and LLM-based capabilities.
- Develop and deliver end-to-end machine learning solutions, including defining technical requirements, architecting scalable systems, and implementing monitoring, logging, and maintenance workflows.
- Collaborate closely with engineers, product managers, clinicians, and crossfunctional partners to build new ML products and enhance existing systems.
- Lead the design and implementation of MLOps frameworks, including pipeline development, CI/CD integration, drift detection, retraining workflows, and rollback strategies.
- Monitor model performance in production, identify issues, propose remediation steps, and ensure strong test coverage and system reliability.
- Utilize contemporary software engineering practices to implement scalable, secure, and maintainable AI/ML systems.
- Develop and customize API integrations to enable seamless connectivity between cloudbased systems and ML services.
- Participate in architectural discussions to ensure ML platforms meet compliance, performance, and scalability standards.
- Bachelor’s degree in Computer Science, Data Analytics, Software/Computer Engineering, Computational Statistics, Mathematics, or a related discipline.
- 3+ years of end-to-end ML development in production (data prep, feature engineering, modeling, calibration, deployment, monitoring, maintenance).
- 3+ years of MLOps experience building production pipelines (CI/CD, model registry, feature store), implementing monitoring & drift detection, and automating retraining.
- 3+ years of Python for production ML (testing, packaging, type hints, linting) and SQL for analytical and production workloads; Scala a plus.
- 2+ years working with distributed compute and cloud ML environments (e.g., Spark/Databricks on Azure/AWS/GCP) and modern data ecosystems (data lakes, DBMS).
- Strong debugging and optimization skills across data and ML workflows.
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Frequently asked questions
Who is hiring for the Machine Learning Engineer role?
Talent Groups is hiring for the Machine Learning Engineer position, a Shazamme client. Apply directly on the employer's career site.
Where is the Machine Learning Engineer job located?
The Machine Learning Engineer role with Talent Groups is based in Boston, MA, US. The role is hybrid-friendly.
Is the Machine Learning Engineer role remote?
Yes — the Machine Learning Engineer position at Talent Groups is hybrid. Candidates based in US are preferred.
What does the Machine Learning Engineer role pay?
Talent Groups lists the Machine Learning Engineer role at USD 150,000–190,000 per year.
Is the Machine Learning Engineer role full-time or contract?
This is a full time position at Talent Groups.
What experience level is the Machine Learning Engineer role?
The Machine Learning Engineer position is aimed at mid-level candidates.
How do I apply for the Machine Learning Engineer role at Talent Groups?
Apply directly on Talent Groups's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.