Lead Data Scientist

4 weeks ago

Bangalore Metropolitan Area, India Akaike Technologies Full time
Lead Data Scientist

Join our team of innovators and contribute to building impactful solutions across various domains.

About the Role:

This role demands a blend of deep technical expertise, team management skills, and strategic client engagement.

Key Responsibilities:
  • Team Mentorship:
    • Lead, mentor, and develop a team of data scientists and ML engineers, fostering a culture of collaboration and innovation.
    • Provide guidance and technical direction, helping the team navigate complex problems and project delivery.
  • AI/ML Solution Development:
    • Design and implement advanced machine learning models and algorithms tailored to various use cases across different domains, such as Pharma, BFSI, and beyond.
    • Drive innovation by exploring new techniques in areas like structured data modeling, explainable AI, and large-scale language models (LLMs).
    • Hands-on Coding: Continue to actively contribute to coding, development, and testing to ensure high-quality solutions.
  • Client and Stakeholder Management:
    • Serve as the primary point of contact for client communications, translating complex data requirements into actionable tasks.
    • Present data-driven insights to stakeholders, demonstrating the business impact of models and solutions.
    • Collaborate with cross-functional teams to align AI initiatives with business goals.
  • Project Delivery and Strategy:
    • Lead multiple R&D POC projects, accelerating development and ensuring successful productization and deployment.
    • Define project timelines, ensure timely delivery, and continuously optimize project processes.
    • Translate business problems into data science problems, identifying key objectives, data requirements, and performance metrics.
    • Develop scalable solution architectures addressing technical challenges and business nuances.
  • Platform and Product Development:
    • Spearhead the development of IP-driven solutions, ensuring scalability, cost-efficiency, and ease of use for internal and client teams.
    • Drive continuous improvements to existing platforms and products to enhance performance and scalability.
Requirements:
  • Mandatory Skills:
    • Deep knowledge of machine learning methods and neural network architecture.
    • Expertise in deep learning, transformer models (BERT, GPT, T5, etc.), and related models.
    • Strong understanding of customizing and creating loss functions, ranking metrics, and AB testing.
    • Fluency with Python, database technologies (MySQL/Postgres/MongoDB), Git versioning, and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, and Matplotlib.
  • Desirable Skills:
    • Familiarity with big data frameworks (e.g., Hadoop, Spark) and visualization tools (e.g., Tableau, PowerBI).
    • Experience with platform development and creating scalable AI solutions in a startup environment.

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