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Senior Machine Learning Engineer

2 hours, 9 minutes ago
India
Contract
Senior
Machine Learning Engineer
Software Development
Apache Spark AWS Azure CI/CD Deep Learning Docker Feature Engineering GCP Hadoop Kubernetes Machine Learning MLOps MySQL PostgreSQL Python PyTorch Scikit-learn SQL SQL Server TensorFlow XGBoost
Apply Now

Astro Sirens / Astro Sirens Staffing and Consulting

An IT staffing and consulting firm offering IT consulting, IT staffing, project management, CloudOps solutions, and DevOps transformation. It describes itself as providing top-notch IT talent and consulting services and matching clients with candidates for software development, network engineering, project management, and more.

IT services, staffing, and consulting
View All Jobs 8

Description

  • Design, develop, and deploy machine learning models for real-world production use cases.
  • Analyze large and complex datasets to extract insights that inform model development and optimization.
  • Build end-to-end ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
  • Collaborate with data engineers, software engineers, product managers, and business stakeholders to define machine learning requirements.
  • Implement model monitoring, performance tracking, and retraining strategies.
  • Optimize models for scalability, performance, and reliability in cloud-based environments.
  • Ensure data quality, reproducibility, and adherence to best practices in ML development.
  • Translate machine learning outcomes into clear, actionable insights for technical and non-technical audiences.
  • Contribute to improving ML standards, tools, and best practices across teams.
  • Mentor junior data scientists and machine learning engineers.

Requirements

  • Bachelor’s or Master’s degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field.
  • 5+ years of experience in data science, machine learning, or applied AI roles.
  • Strong proficiency in Python for data processing and machine learning.
  • Hands-on experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
  • Strong understanding of supervised and unsupervised learning, deep learning, and model evaluation techniques.
  • Expertise in SQL and experience with relational databases such as PostgreSQL, MySQL, or MS SQL.
  • Experience deploying machine learning models into production environments.
  • Familiarity with MLOps practices, including model versioning, CI/CD, monitoring, and retraining.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Understanding of data governance, model ethics, and data privacy considerations.
  • Strong communication skills and the ability to work effectively with U.S.-based stakeholders.
  • Preferred: Experience with big data technologies such as Spark, Hadoop, or similar.
  • Preferred: Knowledge of Docker, Kubernetes, and containerized ML workflows.
  • Preferred: Experience supporting ML systems at scale.

Benefits

  • Paid Time Off (PTO).
  • Work from home / remote position.
  • Professional development opportunities.
  • Training and development programs.
  • Collaborative and inclusive company culture.
  • Competitive salary.
  • Performance-based bonuses.

Interested in this position?

Apply directly on the company website

Apply Now

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