Lead ML Engineer Job

Hi,

We are seeking a highly skilled and experienced Lead ML Engineers for our client company located in Bangalore. As the Lead ML Engineer, you will be responsible for designing, implementing, and optimizing machine learning models and algorithms. You will collaborate with cross-functional teams to develop and deploy innovative ML solutions that drive organizational success. This is a senior-level position requiring 7 to 10 years of experience in the field.

Qualifications and Skills

A minimum of 7 to 10 years of experience in machine learning and AI.
Strong expertise in machine learning algorithms, including deep learning.
Proficiency in programming languages such as Python and SQL.
Experience with ML frameworks such as TensorFlow, PyTorch, or Keras.
Knowledge of cloud platforms, such as AWS or GCP.
Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
Solid understanding of statistical learning and data analysis techniques.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Experience in leading and mentoring a team of ML engineers.

Roles and Responsibilities

Designing, developing, and deploying machine learning models and algorithms.
Identifying and analyzing data sources to support model development.
Collaborating with cross-functional teams to define ML requirements and deliver innovative solutions.
Creating and maintaining scalable ML infrastructure and workflows.
Optimizing and fine-tuning ML models for performance and efficiency.
Evaluating and validating ML models using appropriate metrics and techniques.
Staying up-to-date with the latest advancements and trends in ML and AI technologies.
Providing technical leadership and mentorship to junior ML engineers.
Collaborating with stakeholders to understand business objectives and translate them into ML solutions.
Communicating effectively with both technical and non-technical stakeholders.

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.