Fullstack Architect

Must have skills & competencies

• Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice.
• Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment.
• Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives.
• Engaging in consultative selling with clients to grow/deliver business.
• Develop and operationalize scalable processes to deliver on large & complex client engagements.
• Minimum of 10+ years in development, testing and deployment of React, JavaScript, Python based applications on Azure/AWS platforms
• Extensive experience with frontend and backend technologies to develop AI/GenAI applications.
• Software development experience in REACT, JavaScript/TypeScript, Python, FastAPI/Flask/Django is needed for UI based applications.
• Must have experience in building production grade application with frontend & backend technologies like HTML, JavaScript, REACT, Python etc.
• Deep understanding of architecture and work experience on Web Technologies
• Python, SQL hands-on experience
• Expertise in any popular python web frameworks e.g. flask, Django etc.

Good to have skills & competencies

• Proven ability to collaborate with cross-functional teams, including product managers, data scientists, and DevOps engineers, to deliver end-to-end generative AI solutions.
• Proven experience in leading teams focused on generative AI projects, mentoring ML engineers, and driving innovation in AI applications.
• Possessing robust analytical skills to address and model intricate business needs is highly advantageous, especially for those with a background in life sciences or pharmaceuticals.

Eligibility Criteria

• Masters/PhD in CSE/IT from Tier 1 institute
• Minimum 12+ years of relevant experience in building software applications in data and analytics field.