MLOPS and ML Lead

Job highlights

• Ability to work in a fast-paced environment,delivering high-quality results under tight deadlines.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users

• Experience with deep learning frameworks such as TensorFlow or PyTorch

We are looking for a highly skilled and experienced MLOps and ML Lead to join our team. The ideal candidate will have a strong background in machine learning operations and leadership, with excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.

Roles and Responsibility

• Develop and implement machine learning models and algorithms to solve complex problems.
• Collaborate with data scientists to design and deploy scalable machine learning solutions.
• Work closely with software engineers to integrate machine learning models into larger systems.
• Monitor and optimize machine learning model performance using various metrics and techniques.
• Provide technical guidance and mentorship to junior team members.
• Stay up-to-date with industry trends and advancements in machine learning and artificial intelligence.

Job Requirements

• Strong understanding of machine learning fundamentals, including supervised and unsupervised learning.
• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Excellent programming skills in Python, with experience in libraries such as scikit-learn or pandas.
• Strong analytical and problem-solving skills, with the ability to interpret complex data sets.
• Effective communication and collaboration skills, with experience working with diverse stakeholders.
• Ability to work in a fast-paced environment, delivering high-quality results under tight deadlines.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.