About opportunity

We are looking for a highly skilled and experienced Lead Data Scientist to spearhead AI/ML initiatives and oversee the development of advanced machine learning models, deep learning architectures, and generative AI systems. The ideal candidate will have 7-8 years of hands-on experience in data science, machine learning, and data engineering, with a strong focus on leadership, innovation, and generative AI technologies. You will be responsible for guiding a team, delivering AI solutions, and collaborating with cross-functional stakeholders to meet business goals.

Requirements

• Experience: 7-8 years of experience in data science and AI/ML, with a strong foundation in machine learning, deep learning, generative AI and data engineering.
• Generative AI Expertise: Minimum of 2 years of hands-on experience in generative AI technologies like LLM, RAG, and agents.
• Machine Learning & Deep Learning: Strong expertise in machine learning algorithms, deep learning models (CNNs, RNNs, Transformers), and hands-on experience with frameworks like TensorFlow, PyTorch, and Scikit-learn.
• Data Engineering: Solid understanding of data engineering principles, including data pipelines, ETL processes, and databases (SQL/NoSQL).
• Programming Skills: Proficiency in Python, R, or other programming languages for AI/ML development.
• API Development: Knowledge of API development using any web framework (e.g., Flask, FastAPI, Django) for model deployment and integration.
• LangChain/LlamaIndex: Working knowledge of LangChain or LlamaIndex for integrating LLMs with external data sources and building advanced retrieval-based models.
• Cloud & MLOps: Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices for scaling AI/ML models in production.
• Excellent communication, leadership, and project management skills.
• Strong problem-solving ability with a focus on delivering scalable, impactful solutions.
• Experience with Natural Language Processing (NLP) or Computer Vision.
• Familiarity with big data tools like Spark, Hadoop, or distributed systems.
• Experience with version control (Git) and collaborative development practices.
• Exposure to AutoML tools, model interpretability techniques, and explainable AI (XAI).
• Understanding of AI ethics and bias in AI systems.

Responsibilities

• Lead the development and deployment of machine learning models, deep learning frameworks, and AI-driven solutions across the organization.
• Work closely with stakeholders to define data-driven strategies and drive innovation using AI and machine learning.
• Design and implement robust data pipelines and workflows in collaboration with data engineers and software developers.
• Develop and deploy APIs using web frameworks for seamless integration of AI/ML models into production environments.
• Mentor and lead a team of data scientists and engineers, providing technical guidance and fostering professional growth.
• Leverage LangChain or LlamaIndex to enhance model integration, document management, and data retrieval capabilities.
• Lead projects in Generative AI technologies, such as Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and AI agents, to create innovative AI-driven products and services.
• Stay updated on the latest AI/ML trends, ensuring that cutting-edge methodologies are adopted across projects.
• Collaborate with cross-functional teams to translate business problems into technical solutions and communicate findings effectively to both technical and non-technical stakeholders.

Benefits of joining us