Lead Machine Learning Engineer

1 week ago


Islamabad, Islamabad, Pakistan beBee Careers Full time

The ideal candidate for this role is a highly skilled and motivated individual with over 4 years of experience in AI/ML engineering.

Job Description
  • This position involves leading the design, development, and deployment of machine learning models to drive business outcomes.
  • You will work closely with cross-functional teams to integrate machine learning solutions into products and systems.

Key Responsibilities:

  • Design, develop, and optimize machine learning models and algorithms tailored to business needs.
  • Analyze complex datasets to extract meaningful insights and identify patterns that drive decision-making.
  • Implement and validate machine learning algorithms and statistical methods, ensuring robustness and scalability.
  • Write clean, efficient, and maintainable code while adhering to best practices in software engineering.

Requirements

  • Strong background in Python programming and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with data manipulation and analysis tools such as Pandas and NumPy.
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker).
  • Certification in a relevant field is a plus.

Benefits

  • EOBI
  • Provident Fund
  • Medical Health Insurance
  • Accommodation
  • Annual Leaves
  • Casual leaves
  • Sick Leaves
  • Bereavement Leaves
  • Marriage Leaves
  • Paternity Leaves
  • Maternity Leaves
Why This Role?
  • This is an excellent opportunity to grow professionally and contribute to a dynamic team.
  • You will have the chance to work on challenging projects and develop cutting-edge AI solutions.
  • Our organization fosters a collaborative and knowledge-sharing environment, providing opportunities for growth and development.
What We Offer
  • A competitive market compensation package based on your qualifications and skill set.
  • A dynamic work environment that encourages initiatives, promotes agility, and creates a work-life balance.


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