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.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.

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