**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
- Robust 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

📌 Senior Manager Applied Science (Bengaluru)
🏢 Weekday AI (YC W21)
📍 Bengaluru