hero
3,351
companies
3,296
Jobs
If you are a Techstars portfolio companyclaim your profile.

mokSa.ai - Engineering Manager - Machine Learning

mokSa AI

mokSa AI

Software Engineering, Other Engineering, Data Science
Hyderabad, Telangana, India · Hyderabad, Telangana, India
Posted on Friday, June 28, 2024
Job Summary

We are seeking an experienced Machine Learning Engineering Manager to lead our team of talented engineers and data scientists. You will be responsible for managing and scaling our machine learning projects, ensuring high-quality model development, and integrating these models into production Responsibilities :

  • Lead and mentor a team of machine learning engineers and data scientists.
  • Oversee the design, development, and deployment of machine learning models and algorithms.
  • Collaborate with cross-functional teams to identify and prioritize machine learning projects.
  • Ensure best practices in model development, testing, and deployment.
  • Drive the continuous improvement of ML infrastructure and processes.
  • Monitor and evaluate the performance of ML models in production.
  • Stay current with the latest advancements in machine learning and AI technologies.
  • Manage project timelines and deliverables, ensuring alignment with business :
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
  • 5+ years of experience in machine learning, data science, or a related domain.
  • 2+ years of experience in a leadership or managerial role.
  • Proficiency in programming languages such as Python, R, or Java.
  • Hands-on experience with ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn, etc.).
  • Strong understanding of data structures, algorithms, and software engineering principles.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and interpersonal Qualifications :
  • Experience with cloud platforms (AWS, GCP, Azure) and MLops practices.
  • Experience in deploying and maintaining models in a production environment.

(ref:hirist.tech)