We are seeking a dynamic Gen AI Architect / Director Gen AI to lead our efforts in the Machine Learning (ML) and Generative AI (GenAI) space. This role is ideal for an innovative leader with a proven track record in business development, application building, and a deep understanding of ML architectures. You will work collaboratively as an Individual Contributor within our Analytics and Development team, leveraging cutting-edge capabilities to solve real-world challenges.
Key Responsibilities
- Leadership in ML & GenAI. Drive initiatives in application development and business development within the ML and GenAI domains.
- Proof of Concepts. Independently create demos, proofs of concept (PoCs), and accelerators to showcase GenAI capabilities.
- Team Building. Quickly establish and manage a team of skilled data scientists and application developers.
- Problem Solving. Address complex challenges using emerging technologies related to LLM, GenAI, and GPT.
- Software Development. Utilize your software development skills in Python for backend application support, ensuring robust UI experiences.
- Technical Documentation. Develop high-level designs (HLDs), low-level designs (LLDs), and technical specifications, while managing the entire data analytics process using Python and SQL on Azure/AWS platforms.
- Client Interaction. Engage with clients to discuss GenAI capabilities and potential use cases.
Qualifications
Education
- B.Tech or BE in Computer Science / Computer Applications from a Tier 1-2 institution with 8+ years of relevant experience, or
- Master’s degree in Machine Learning, Statistics, Econometrics, or a related field from a Tier 1-2 institution with 10+ years of experience.
Must-Have Skills
- Experience. Minimum 10 years in designing and architecting ML solutions on Azure/AWS platforms.
- Generative AI Knowledge. Strong understanding of Generative AI concepts, including LLMs and GPT technologies.
Technical Proficiency
- Proficient in Python and SQL.
- Expertise in popular Python web frameworks such as Flask, FastAPI, or Django.
- Familiarity with frontend technologies including HTML, JavaScript, and React.
- Analytical Skills. Exceptional analytical abilities to model and solve complex business requirements.
Preferred Skills
- Experience in the life sciences or pharmaceutical industry will be an advantage.
Employee Value Proposition
- Challenging opportunities to contribute to a transformative organization.
- Technical challenges with global impact.
- Extensive self-development opportunities through the Axtria Institute, online courses, and external certifications.
- Participation in sponsored tech talks and hackathons.
- Potential relocation options for short and long-term projects.
- Comprehensive benefits package including health and retirement benefits, paid time off, and flexible work arrangements (hybrid/remote).
Join Us
If you are passionate about making a difference in the healthcare industry through advanced analytics and machine learning, we invite you to apply and be part of our growing Axtria family.