Senior Manager – Data Science

3 weeks ago

Mumbai, Maharashtra, India AGR Knowledge Services Pvt Ltd Full time

About Us

At AGR, part of the Avalon Group, we're a premier research, analytics, and advisory firm dedicated to delivering tailored knowledge solutions. With a 30-year legacy, we empower clients worldwide across various industries to seize market opportunities, foster strategic alliances, and make informed investments. AGR Knowledge Services is on a mission to revolutionize enterprise intelligence. We are building an AI-powered Knowledge Management System that acts as the brain of the enterprise, enabling seamless collaboration, knowledge sharing, and decision-making. Our solutions extend across various functions and industries, helping businesses unlock their full potential.

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We are seeking a Senior Manager – Data Science (AI/ML) with over 10 years of experience to lead and drive the development of cutting-edge AI solutions at AGR. The ideal candidate will bring expertise in fine-tuning large language models (LLMs), optimizing machine learning workflows, and building scalable data solutions. In this role, you will manage a team of data scientists, oversee AI projects from inception to deployment, and ensure that the models developed have a direct and meaningful impact on enterprise intelligence across multiple industries.

  • Role : Sr. Manager - Data Scientist
  • Qualification : Bachelor's or Master's in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • Experience : 10 years and plus
  • Location : Mumbai, India (Onsite)
  • RM : Project Manager
  • Candidate Industry : IT/ITES
  • Responsibilities :
  • Lead AI Strategy: Oversee AI/ML projects from development to deployment, ensuring alignment with business goals.
  • Model Development & Fine-tuning: Lead the fine-tuning of LLMs and advanced NLP models to meet enterprise needs.
  • Team Leadership: Manage and mentor data science teams, fostering growth and innovation.
  • Cross-functional Collaboration: Work with engineers, product teams, and leadership to drive AI initiatives.
  • Optimization & Deployment: Ensure efficient workflows, containerization (Docker), and scalable model deployment.
  • Client Engagement: Provide strategic insights and translate AI capabilities into business solutions.
  • Good to Have:
  • Cloud Platform Expertise: Experience working with AWS, Azure, or GCP on large-scale AI/ML projects.
  • Enterprise Solutions: Familiarity with enterprise Knowledge Management Systems and their integration with AI-driven tools.
  • Advanced MLOps: Deep understanding of MLOps principles and tools to ensure efficient model deployment and monitoring.
  • Problem-Solving: Ability to break down complex problems into manageable components and design effective solutions.
  • Innovation: A passion for experimenting with cutting-edge AI/ML technologies and applying them to real-world business problems.
  • Required Skills:

Technical Skills:

  • Proficiency in Python, with strong expertise in libraries such as PyTorch, Pandas, and NumPy.
  • Extensive experience in fine-tuning large language models (LLMs) and applying advanced NLP techniques.
  • Strong background in handling both structured and unstructured data, with hands-on experience working on complex data transformations.
  • Proficiency in MLOps tools, including Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
  • In-depth knowledge of model optimization, deployment pipelines, and scalable production environments.
  • Ability to design and implement AI/ML workflows that balance speed and quality in a fast-paced environment.

Leadership Skills:

  • Proven ability to lead and manage teams of data scientists, driving results through mentorship and strategic guidance.
  • Strong project management skills, with experience handling multiple AI projects simultaneously and ensuring timely delivery.
  • Exceptional communication skills to work with cross-functional teams and explain complex AI concepts to non-technical stakeholders.
  • What we Offer:
  • Opportunity to work on cutting-edge AI technologies and contribute to impactful projects.
  • Leadership role in an innovative and dynamic AI team.
  • Competitive compensation and comprehensive benefits package.
  • A collaborative, growth-oriented work environment.
  • The chance to shape the future of enterprise intelligence through transformative AI-driven solutions.

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