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Open nowPosted 8 hours ago

Senior Manager Applied Science

Workable (global search)107,801 open roles

Where
Bengaluru, KA, India
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Your applicationOpen nowSenior Manager Applied ScienceWorkable (global search) · Bengaluru, KA, India

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8.0% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

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  2. 3.5%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.1%30 days
This job: posted 8 hours ago

Workable (global search) median: 2 days open

The posting

This role is for one of Weekday’s clients Salary range: Rs 7000000 - Rs 12000000 (ie INR 70 - 120 LPA)

Min Experience: 14+ years Location: Bengaluru JobType: full-time

We are seeking a passionate and dynamic Senior Manager of Applied Science to lead a team of applied scientists focused on building next-generation AI applications on the cloud. You will work closely with product, business, machine learning engineering, and customer success teams to align priorities, timelines, and deliverables. You will drive AI/ML development efforts and ensure customer engagements are supported with high-quality, scalable solutions that deliver measurable impact.

Requirements

Key Responsibilities

Leadership and Team Management

  • Lead, mentor, and manage a team of applied scientists, including senior scientists and team leads.
  • Build and scale a high-performing team of 5-8 scientists; provide regular mentoring and establish clear career development paths.
  • Set and promote best practices for research, development, code quality, and technical excellence

Customer Engagement & Deliverable Management

  • Collaborate with product and customer success teams to prioritize customer needs and align development timelines accordingly.
  • Integrate customer feedback into development cycles, adapting priorities as business needs evolve.
  • Act as the technical point of contact for customer engagements, setting clear expectations for deliverables and timelines.
  • Ensure high-quality, on-time delivery of customer-facing AI/ML products that meet or exceed expectations.

Product Development & Strategy

  • Lead the execution of the R&D and product roadmap, aligning ML initiatives with business goals and customer priorities.
  • Drive product strategy in collaboration with product management, business development, and operations.
  • Provide architectural and technical leadership on key projects, ensuring robustness, scalability, and flexibility.

Scalability & Best Practices

  • Foster a high-performing team through agile workflows, continuous improvement, and strong delivery processes.
  • Architect and implement scalable AI/ML solutions aligned with ASD's long-term vision, using cloud-native technologies and microservices.
  • Oversee the full ML lifecycle-including data collection, model training, validation, deployment, and monitoring-ensuring effective team collaboration and resource management.
  • Promote advanced techniques such as model compression, quantization, and distributed training.
  • Champion industry best practices in development to ensure code quality, performance, and scalability.
  • Stay current with advancements in ML and lead team engagement in the broader scientific community.
  • Collaborate with design, product, and engineering teams to deliver high-performance solutions in a fast-evolving environment.

Required Qualifications

  • Bachelor’s, Master’s, or Ph.D. in Data Science, Mathematics, Operations Research, Applied Mathematics, Computational Science, or a related field.
  • Strong foundation in probability, statistics, and scientific problem-solving.
  • 12+ years of hands-on experience in analytics, data science, and deep learning in business-critical environments.
  • 3+ years of experience managing teams of 5 or more, preferably in applied science or cross-functional settings..
  • Proven track record of delivering high-impact, data-driven solutions to complex business problems.
  • Proficient in machine learning, deep learning, and explainable AI techniques, with the ability to communicate technical concepts to non-technical stakeholders.
  • Experience developing and deploying state-of-the-art ML models tailored to specific business needs.
  • Strong programming skills in Python and SQL; experience with feature engineering and deep learning pipelines.
  • Familiarity with deep learning frameworks such as TensorFlow, Keras, and PyTorch.
  • Experience with computer vision (e.g., OpenCV) and natural language processing (e.g., spaCy).
  • Skilled in the Design of Experiments for scientific testing and optimization.
  • Proficient in Git for version control and collaboration.
  • Working knowledge of cloud platforms such as AWS, GCP, and Azure.
  • Strong analytical thinking and structured problem-solving abilities.
  • Excellent communication and collaboration skills in cross-functional teams.

Preferred Qualifications

  • Demonstrated leadership experience in mentoring junior engineers and managing cross-functional projects.
  • Proven innovation track record—solutions that delivered significant business impact or led to patents.
  • Self-motivated, proactive problem-solver with strong project ownership.
  • Domain knowledge or experience in recommendation systems, NLP, or computer vision.
  • Strong collaboration skills across multiple teams, with an ability to manage conflict and align priorities.

Good-to-have skills

Applied Sciences, Senior Manager, recommendations

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