Data science manager

12 hours ago

Davangere, India Galleon Consultants Full time

Key Responsibilities: •Technical Strategy & Roadmap: Define and execute comprehensive ML/AI strategy aligned with business objectives, including LLM infrastructure, retrieval pipelines, and generative workflows •Architecture Oversight: Lead system architecture decisions for scalable ML platforms, ensuring robust model deployment and operational excellence •Cross-functional Collaboration: Partner closely with product management, engineering, and business stakeholders to translate requirements into technical solutions •Model Development: Actively participate in designing, training, and optimizing machine learning models, maintaining technical currency with 20-30% hands-on contribution •Code Reviews & Technical Guidance: Conduct thorough code reviews and provide technical mentorship to ensure engineering excellence across the team •Team Building: Recruit, hire, and develop top-tier ML engineers, data scientists, and researchers while fostering a culture of innovation and continuous learnin •Mentorship: Guide team members through complex technical challenges, career development, and best practices in ML engineering Required Skills: Programming Proficiency: Expert-level skills in Python, R, with deep knowledge of ML frameworks (Tensor Flow, Py Torch, Scikit-learn, Pandas, Num Py) Machine Learning: Extensive experience with statistical modeling, deep learning, NLP, computer vision, and generative AI technologies Infrastructure & Deployment: Hands-on experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and ML pipeline orchestration Data Engineering: Strong understanding of data architectures, feature engineering, and big data technologies (Spark, Hadoop, Kafka) Programming Proficiency: Expert-level skills in Python, R, with deep knowledge of ML frameworks (Tensor Flow, Py Torch, Scikit-learn, Pandas, Num Py) Leadership Skills: Strong leadership abilities to guide technical teams and communicate effectively with non-technical stakeholders. Problem-Solving Abilities: Excellent analytical skills to address complex technical challenges and devise innovative solutions. Background in building and scaling ML platforms in high-growth technology companies

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