Senior Engineer, Machine Learning - Remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineer, Machine Learning - Remote in United States.

This role offers the opportunity to design, build, and maintain scalable machine learning systems in a fast-paced, technology-driven environment. You will work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to deploy models into production and optimize performance across operations. The position focuses on ensuring model reliability, operational efficiency, and continuous improvement of ML workflows. You will leverage MLOps practices, cloud platforms, and containerized deployment tools to solve complex problems and drive innovation. This role thrives on collaboration, technical expertise, and the ability to translate business needs into scalable ML solutions. It is fully remote but aligned with Eastern Time Zone hours, offering flexibility and growth in a supportive environment.

• Deploy and monitor machine learning models in production using tools like Docker, Kubernetes, and MLflow to ensure scalability and reliability.
• Build and maintain data pipelines using Airflow, Spark, or Kafka to support model training and inference.
• Integrate ML models into business applications, collaborating with software engineers to operationalize solutions.
• Monitor model performance and detect data drift, implementing alerting and retraining pipelines.
• Clean, preprocess, and ensure high-quality data for machine learning applications.
• Collaborate with cross-functional teams to translate business problems into technical solutions.
• Maintain technical documentation for reproducibility and knowledge sharing.
• Optimize ML workflows to improve performance, scalability, and efficiency.

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics, or a related field, or equivalent experience.
• 3–5 years of experience in AI/ML engineering, data science, or software engineering with a machine learning focus.
• Strong understanding of the machine learning lifecycle, including training, deployment, and monitoring.
• Advanced programming skills in Python and experience with ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
• Proficiency with MLOps tools including Docker, Kubernetes, MLflow, and CI/CD pipelines.
• Experience with data engineering tools and pipelines such as Airflow, Spark, and Kafka.
• Familiarity with cloud platforms like AWS, GCP, or Azure.
• Strong collaboration and communication skills to work with technical and non-technical stakeholders.
• Ability to work remotely aligned with Eastern Time Zone hours.

• Competitive salary with performance-based incentives.
• Comprehensive health insurance (medical, dental, and vision).
• Retirement savings plan (401k) with employer contributions.
• Life and disability insurance coverage.
• Flexible remote work with supportive team environment.
• Professional development and career growth opportunities.
• Paid time off and holidays.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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