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 & 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.(ref : hirist.tech)
