KEY RESPONSIBILITIES
Active Learner with Passion for Problem-Solving
Demonstrate a strong passion for learning new AI/GenAI/ML techniques and technologies. Actively seek out and tackle new, complex challenges, showing enthusiasm for experimenting with novel approaches and delivering innovative solutions.
Quick Prototyping & Experimentation
Develop rapid prototypes to test new AI/ML approaches and solutions for business problems. Implement proof-of-concept models quickly, enabling fast experimentation and iteration to assess feasibility before scaling to full development.
AI Product Development & Innovation
Lead the design, development, and deployment of AI-driven products, collaborating with cross-functional teams to define the AI product roadmap and deliver impactful solutions.
Model Design and Optimization
Develop and iterate on Generative AI, machine learning and deep learning models, ensuring their scalability, performance, and real-world applicability while continuously optimizing them based on real-world feedback.
Data Strategy & Collaboration
Define data strategy, work with data engineers to build robust pipelines, and ensure data quality and accessibility for machine learning applications. Collaborate with engineering and product teams to integrate models into production.
Research and Thought Leadership
Stay at the forefront of AI/GenAI/ML research, apply cutting-edge techniques to solve complex customer problems, and lead the exploration of new opportunities to leverage AI/ GenAI for business innovation.
Mentorship and Leadership
Provide technical leadership and mentorship to junior data scientists, promoting a culture of innovation and collaboration while helping to scale AI solutions across the organization.
ESSENTIAL SKILLS
·Good knowledge of Python programming language, data engineering and data science ecosystem in Python.
·Hands on experience in Generative AI, LLM and Advance RAG techniques.
·Hands on experience in developing and supporting Machine Learning solutions.
·Hands on experience in developing Natural Language Processing (NLP) solutions
·Hands on experience on SQL ecosystem
·Hands on experience on Solr framework with Python
·Experience of working on Linux and shell scripting
·Basic statistical modelling knowledge
·Strong Computer Science fundamentals are must. (Data structures, Algorithms, OS, Databases).
·Good communication and organizational skills with significant attention to detail
·Experience partnering with cross-functional teams of domain experts, engineers, data scientists, and production support teams.
·Strong attention to detail with excellent problem-solving skills.
·Desire and ability to thrive in a distributed technical environment while working on multiple projects simultaneously.
·Passionate about latest technology trends with a strong desire for innovation.
·Self-motivated, self-managing and able to work independently.
EDUCATION AND EXPERIENCE
·Bachelor's degree (B.E/ B Tech. computer science, engineering, statistics/mathematics or a related field) from a four-year college or university, or equivalent, master’s a plus.
·Total at least 5 years of experience working on enterprise AI products
·Experience in supporting software products or applications in the AI ML domain.
·The above statements are intended to describe the general nature and level of work being performed by most people assigned to this job. They are not intended to be an exhaustive list of all duties and responsibilities and requirements.