# Senior Manager Applied Science

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-10-06

**Salary:** INR 7,000,000–12,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**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

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/233F40B32A/apply)

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