About the Role: We are looking for a passionate and enthusiastic Senior Manager Learning and Organization Development to develop and sustain the vision & strategy for the Learning & Development and Organization Development functions in India. Drive leadership development efforts across the organization and anchor org-wide talent solutions / interventions to support organizational vision and drive effectiveness in alignment with business priorities. Key Responsibilities: Learning & Development Liaise with the Leadership Team to align the overall learning and development strategy with the broader business goals of the company. Responsible for engaging with key business / divisional stakeholders to drive Learning Culture and people capability development across diverse groups. Oversee training and talent programs to ensure they are contemporary, market leading and impactful. Partner with internal stakeholders and liaise with external experts to offer rich learning programs. Design and deliver programs/interventions to enhance leadership skills at various organizational levels. Oversee training delivery for leadership team. Support talent imperatives like succession planning and hi-po development. Manage L&D data for analysis and ensuring alignment with plans Organizational Development and Effectiveness Take an insightful approach to diagnose business challenge by understanding from Business Units Leaders. Provide strategic direction and management of assessment, conceptualization, design and roll-out of various short-term and long-term OD interventions around structure, processes and HR / talent management practices to gain a competitive advantage. Leverage data from tools like performance reviews, employee surveys and business and HR metrics to develop insightful solutions Utilize effective change management tools / techniques to embed and sustain acceptance, adoption and usage of OD initiatives. Embody a strategic organization design and effectiveness partner to advise, steer, coach and amicably challenge business leaders and senior HR decision makers, whilst providing options and recommended solutions to aid decision making. Act as guardian of key org related KPIs (org layer, span of control etc.) Stay current on industry best practices through deep research and leverage this knowledge to create and benchmark solutions. Have a keen eye for measuring the effectiveness of various solutions with clear, specific metrics. Required Qualifications: 8-12 years of experience with at least 3-5 years leading the L&D / OD functions in IT Product / Services organizations. Proven track record of developing and delivering lean yet impactful solutions. Strong program management methodologies. Proven ability to manage multiple complex projects simultaneously Excellent stakeholder management, negotiation, and communication skills Ability to drive alignment, solve problems, and make strategic decisions High adaptability and ability to thrive in fast-paced, dynamic environments Strong analytical and problem-solving mindset. Passion for driving impact, collaboration, and excellence. Attention to detail and a passion for planning. High ownership and accountability.

We are seeking a skilled and experienced Machine Learning Engineer to join our team.The ideal candidate will have a strong background in Python and PyTorch, along with 4-8 years of experience deploying ML/AI models to production. This role requires excellent analytics skills and a good working knowledge of Databricks. You will work closely with data scientists, clinicians, software engineers, and product teams to design, build, and optimize scalable machine learning solutions. Role & responsibilities Develop, train, and optimize machine learning models using PyTorch and other ML frameworks. Deploy and maintain ML models in production environments, ensuring scalability, performance, and reliability. Utilize Databricks for data processing, model training, model deployment, and pipeline optimization. Deploy Retrieval-Augmented Generation (RAG) pipelines to production for improved AI-driven applications. Collaborate with data engineers to design and implement ETL workflows and data pipelines. Perform rigorous testing, validation, and monitoring of deployed models. Optimize model inference for low latency and high throughput applications. Work with stakeholders to translate business problems into ML solutions. Stay up to date with the latest advancements in machine learning, deep learning, and AI deployment strategies. Preferred candidate profile Proficiency in Python and ML frameworks such as PyTorch. 4-8 years of experience deploying machine learning models to production. Knowledge of MLflow for experiment tracking and model management. Strong experience with Databricks for ML development and deployment. Hands-on experience with MLOps, CI/CD pipelines, and cloud-based deployment (AWS, Azure, or GCP). Solid understanding of data structures, algorithms, and software engineering principles. Experience working with large-scale datasets and distributed computing frameworks. Experience with deploying Retrieval-Augmented Generation (RAG) pipelines to production. Excellent analytical and problem-solving skills. Strong communication skills and ability to work in a collaborative team environment. Preferred Qualifications Experience deploying models in the healthcare domain. Experience with feature engineering, data preprocessing, and model explainability. Knowledge of containerization (Docker, Kubernetes) and workflow orchestration tools Familiarity with LLMs, NLP, or reinforcement learning is a plus.