Sr. Machine Learning Engineer

Leeway Hertz
October 14, 2023
Offerd Salary:Negotiation
Working address:N/A
Contract Type:Other
Working Time:Negotigation
Working type:N/A
Ref info:N/A
Job Description

This is a remote position.

Job Summary:

As a Senior Machine Learning Engineer at LeewayHertz, you will be responsible for designing, developing, and implementing advanced machine learning models and systems. You will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver scalable and robust machine-learning solutions that drive actionable insights.

Key Responsibilities :

  • Lead the design, development, and optimization of machine learning models, ensuring they are efficient, accurate, and scalable.

  • Collect, preprocess, and transform data for training and testing machine learning models. Collaborate with data engineers to ensure data pipelines are robust and efficient.

  • Identify and create relevant features to improve model performance and interpretability.

  • Deploy machine learning models into production, working closely with DevOps and software engineering teams.

  • Stay up-to-date with the latest advancements in machine learning and AI, and apply relevant innovations to projects.

  • Requirements
  • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field.

  • years of professional experience as a Machine Learning Engineer or Data Scientist, with a track record of successfully developing and deploying machine learning models in production.

  • Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks like TensorFlow, PyTorch, sci-kit- learn, or similar.

  • Strong knowledge of machine learning algorithms, deep learning, and statistical modeling techniques.

  • Benefits

    Salary and Benefits:

    Our pay structures are in line with the industry leaning towards the higher side. We believe in rewarding good work and value creation for the company.

    We offer equal opportunities to all candidates based on their abilities and work performance, without discrimination on any basis.​

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