Machine Learning Engineer

Machine Learning Engineer

• Design, develop, and optimize machine learning models and pipelines for deployment in production environments.
• Build scalable and efficient ML infrastructure to support data ingestion, model training, evaluation, and deployment.
• Collaborate with data scientists, engineers, and product teams to integrate ML solutions into Accrete s platform.
• Implement best practices for model performance monitoring, versioning, and retraining.
• Work with cloud-based platforms and distributed computing frameworks to improve system efficiency.
• Optimize feature engineering, data preprocessing, and training workflows to improve model accuracy and efficiency.
• Ensure adherence to MLOps principles, including automation, CI/CD for ML, and reproducibility.

• Bachelor s or Master s degree in

  Computer Science, Machine Learning, AI,

  or a related field.

• 3+ years of experience

  in designing and deploying

  machine learning models in production

  .
• Strong programming skills in Python and proficiency in ML frameworks such as T

  ensorFlow, PyTorch, or Scikit-Learn.

• Experience with cloud platforms (

  AWS

  preferred) and containerization technologies

  (Docker, Kubernetes).

• Proficiency in distributed computing frameworks like

  Spark, Ray, or Dask.

• Experience with MLOps tools and techniques, including

  CI/CD

  for ML,

  model versioning

  , and

  monitoring

  .
• Familiarity with large-scale data processing, data engineering principles, and feature stores.
• Strong problem-solving skills, a proactive mindset, and the ability to work in a fast-paced, collaborative environment.

• Experience with reinforcement learning, NLP, or deep learning applications.
• Knowledge of graph-based ML, generative AI, or other advanced ML techniques.
• Exposure to edge AI and model optimization techniques (e.g., quantization, pruning).
• Contributions to open-source ML projects or publications in AI conferences.

• Accrete is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.