Machine Learning Engineer

Computer Task; United States; Remote; USD 110,000 - 145,000; Full time

Job summary

CTG seeks a Machine Learning Engineer for a client engagement. This role is remote with a 12-month duration, focusing on building production-grade data pipelines and ML workflows.

You will integrate data across sources, define schemas, and implement governance, quality, and monitoring to ensure reliable analytics and model deployments.

Qualifications

• Advanced statistics and ML modeling (hypothesis testing, experimentation, feature engineering, evaluation, calibration).
• Strong SQL/Python for large-scale data wrangling (joins, windows, tuning, cleansing, reconciliation, automated quality checks).
• Data engineering for scalable batch/streaming pipelines (ETL/ELT, CDC, incremental, Airflow/Prefect/Dagster).
• Deep knowledge of modern data platforms (lakehouse/warehouse, S3/ADLS, Snowflake/BigQuery/Redshift, Parquet/Delta/Iceberg, partitioning, access control).
• MLOps deployment with Docker, Kubernetes, CI/CD, MLflow, and end-to-end monitoring.

Responsibilities

• Build and maintain production-grade data pipelines (batch and streaming) with SLAs, retries, idempotency, and automated backfills.
• Integrate and model data across sources by defining schemas, keys, transformations, and curated layers for analytics and ML consumption.
• Implement data quality, observability, governance controls with validation rules, lineage, and anomaly detection on data freshness and volume.
• Productionize analytics and ML by packaging models, deploying services or jobs, managing versioning, and monitoring drift and latency.
• Serve trusted data products to consumers via optimized warehouse tables, feature stores, and APIs with secure access.

Skills

ML modeling

SQL & Python

Data engineering

Data platforms

MLOps

Job description

CTG is seeking to fill a Machine Learning Engineer position for our client.

Location: Remote

Duration: 12 months

Duties:

• Build and maintain production‑grade data pipelines (batch and streaming) with clear SLAs, retries, idempotency, and automated backfills.
• Integrate and model data across sources by defining schemas, keys, transformations, and curated layers that support analytics and ML consumption.
• Implement data quality, observability, and governance controls, including validation rules, lineage, access controls, and anomaly detection on data freshness and volume.
• Productionize analytics and ML by packaging models, deploying services or jobs, managing versioning, and monitoring drift, performance, and latency.
• Serve trusted data products to consumers via optimized warehouse tables, feature stores, and APIs, ensuring secure access and predictable query performance."

Skills:

• Advanced statistics and ML modeling (hypothesis testing, experimentation, feature engineering, evaluation, calibration).
• Strong SQL/Python for large-scale data wrangling (joins, windows, tuning, cleansing, reconciliation, automated quality checks).
• Data engineering for scalable batch/streaming pipelines (ETL/ELT, CDC, incremental, Airflow/Prefect/Dagster).
• Deep knowledge of modern data platforms (lakehouse/warehouse, S3/ADLS, Snowflake/BigQuery/Redshift, Parquet/Delta/Iceberg, partitioning, access control).
• MLOps deployment with Docker, Kubernetes, CI/CD, MLflow, and end-to-end monitoring.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.

The expected base salary for this position ranges from $110,000 to $145,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.

About CTG

CTG, a Cegeka company, delivers IT and business solutions that enhance clients' digital agility, empowering them to seize new opportunities and overcome any challenge. Backed by more than 60 years' experience and a commitment to being a reliable, results-driven partner, we work shoulder to shoulder with clients to shape digital together. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, we combine global expertise with local insight to deliver innovative solutions. We operate across the Americas, Europe, and India, working with over 3,000 clients in many of today's highest-growth industries.

Together, we shape what's next - working shoulder to shoulder to deliver impactful solutions for our clients and society. Our culture is built by the people who work at CTG, the values we hold, and the actions we take. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. At CTG, you'll find a workplace where you are encouraged to grow, supported in your ambitions, and empowered to shape your own career journey. For more information, visit www.ctg.com.

CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws.

CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes.