3 Days Left Senior Manager

1 day ago


Gurugram Gurugram India Sprinklr Full time

Job Description We are looking for a highly skilled and experienced Senior Manager- Product Engineering (AI/ML) to lead and scale our AI/ML initiatives. In this role, you will drive the development, deployment, and optimization of AI/ML models and solutions that directly impact business outcomes. You will lead a team of data scientists, machine learning engineers, working closely with product, engineering, and business stakeholders. What you'll do: - Lead the end-to-end lifecycle of AI/ML projects, from problem definition and data exploration to model development, deployment, and monitoring. - Manage and mentor a cross-functional team of AI/ML professionals. - Define the AI/ML roadmap and strategy aligned with business goals. - Oversee model accuracy, performance, ethical AI practices. - Collaborate with engineering and product teams to integrate ML models into production systems. - Stay abreast of the latest AI/ML technologies, frameworks, and research. - Ensure scalability, reliability, and performance of AI/ML systems. - Present findings and insights to senior leadership and stakeholders. - Drive innovation by identifying new AI opportunities within the organization. What make's you qualified: - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related field (Ph.D. preferred). - 8+ years of experience in AI/ML, with at least 3 years in a leadership or managerial role. - Strong proficiency in Python, Agentic AI, TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks. - Deep understanding of machine learning algorithms, deep learning, NLP, and data mining techniques. - Experience with cloud platforms (AWS, GCP, or Azure) and ML Ops tools and a strong understanding of cloud deployment technologies like Kubernetes or Docker containers. - Proven track record of deploying AI solutions in production environments. - Excellent leadership, project management, and communication skills. - Knowledge of data privacy regulations and ethical AI practices. - Publications or patents in the AI/ML field. - Experience with Multi-Modal ML including Generative AI.



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