Job Title : Engineering Manager Applied Science

Location : Bangalore, India

Experience : 9 to 14 years

Employment Type : Full-Time

About the Role

We are looking for an experienced Engineering Manager (Applied Science) to lead a team of scientists and engineers in building and deploying state-of-the-art machine learning solutions. You will drive the design, development, and productionization of high-impact AI/ML models across areas such as recommendation systems, NLP, computer vision, and time-series forecasting. This role demands a unique combination of deep technical expertise, strategic thinking, and exceptional leadership skills.

Key Responsibilities

Leadership & Strategy :

- 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 (TensorFlow, PyTorch, Scikit-learn, etc.).

- 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 (AWS/GCP/Azure) 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, budgets, and 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 (AWS, GCP, Azure).

- 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.

- Familiarity with MLOps tools, CI/CD pipelines, and ML model deployment practices.

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.

Nice-to-Have :

- Published research papers or patents in applied ML/AI.

- Experience working in fast-paced product-driven environments.