Lead Machine Learning Engineer

2 weeks ago

BangaloreAnywhere in IndiaMultiple Locations TalentPulse Consultant Full time

Lead ML Engineer


Job Description :

We are seeking a dynamic Lead ML Engineer to join our team in a remote capacity, operating within the UK shift timings of 2pm to 11pm IST.

As the Lead ML Engineer, you will be responsible for leading the development and implementation of machine learning solutions to address complex business challenges.

Responsibilities :

- Lead a team of data scientists and machine learning engineers in designing, developing, and deploying machine learning models and algorithms.

- Collaborate with cross-functional teams including product managers, software engineers, and business stakeholders to define project objectives and deliverables.

- Conduct exploratory data analysis to understand patterns, trends, and relationships in large datasets.

- Design and develop scalable machine learning pipelines and workflows to process and analyze data efficiently.

- Implement state-of-the-art machine learning algorithms and techniques to solve business problems and optimize processes.

- Evaluate model performance and iteratively improve model accuracy, robustness, and scalability.

- Ensure compliance with best practices for data privacy, security, and ethical use of data.

- Mentor and coach junior team members, providing guidance on technical challenges and professional development.

- Stay updated with the latest advancements in machine learning research, tools, and techniques.

Requirements :

- Bachelor's or Master's degree in Computer Science, Mathematics, or related field.

- 5 - 12 years of experience in machine learning, data science, or related roles.

- Strong proficiency in programming languages such as Python, R, or Scala.

- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.

- Solid understanding of machine learning algorithms, statistical methods, and data structures.

- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

- Excellent problem-solving skills and attention to detail.

- Effective communication skills and the ability to collaborate with cross-functional teams.

- Prior experience in a leadership or mentorship role is preferred.

- Experience working in a remote environment or across different time zones is a plus.

(ref:hirist.tech)

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