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