Senior Machine Learning Manager

2 days ago

Bengaluru, Karnataka, India beBeeMachineLearningLeader Full time US$ 1,80,000 - US$ 2,00,000

Job Overview

We are seeking a seasoned leader to oversee the development and deployment of cutting-edge machine learning solutions.

This role requires a unique blend of technical expertise, strategic thinking, and exceptional leadership skills to lead a team of scientists and engineers in building innovative products.

Key Responsibilities :
- Lead, mentor, and grow a multidisciplinary team of applied scientists, ML engineers, and software developers.
- Set the technical vision and execution roadmap for applied ML projects aligned with business objectives.
- Foster a culture of innovation, experimentation, and continuous learning.

Machine Learning & Applied Science :
- Oversee the end-to-end lifecycle of ML projects from ideation, research, and prototyping to production deployment and monitoring.
- Guide the team in selecting appropriate algorithms, architectures, and frameworks.
- Ensure the scientific rigor of models through robust evaluation, experimentation, and A/B testing.

System Design & Engineering :
- Collaborate with engineering teams to build large-scale, high-performance data pipelines and ML infrastructure.
- Drive MLOps best practices, including CI/CD for ML pipelines, automated retraining, and model monitoring.
- Leverage cloud platforms to build scalable ML services.

Stakeholder & Project Management :
- Partner with product, engineering, and business teams to translate strategic requirements into ML deliverables.
- Manage project timelines, dependencies while ensuring high-quality outcomes.
- Communicate complex technical concepts to non-technical stakeholders effectively.

Innovation & Research :
- Stay up to date with advancements in machine learning, AI, and data science to guide technology adoption.
- Encourage publication, patent filing, and participation in industry conferences.

Requirements :
Education :- Bachelors, Masters, or Ph.D. in Computer Science, Applied Mathematics, Machine Learning, or related field.
Experience :- 9+ years of experience in software engineering or applied machine learning.
- Minimum 2+ years in a leadership or managerial role managing technical teams.

Technical Skills :
- Strong understanding of applied machine learning, deep learning, statistics, and data modelling.
- Experience with large-scale data systems and cloud platforms.
- Hands-on expertise in ML frameworks : TensorFlow, PyTorch, Scikit-learn, etc.
- Proven track record of delivering ML solutions in domains such as recommendation systems, NLP, computer vision, or time-series forecasting.

Soft Skills :
- Excellent communication, leadership, and stakeholder engagement skills.
- Strong problem-solving abilities with a bias for action.
- Ability to balance long-term research goals with short-term deliverables.

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