We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations be future ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship, and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com

What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it?

We understand that you are looking for growth in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We believe in creating leaders of tomorrow and mentor our leads to help them grow and nurture them as people managers and account managers.

We are a rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of this will lead to a truly differentiated experience for you.

If this excites you, then apply below.

Senior Engineer - Data & Analytics

You will be responsible for: (Job description)

• AI/ML Strategy Development: Design and implement strategies for developing AI and ML solutions, aligning with business goals and leveraging the latest in Generative AI, NLP (Natural Language Processing), and Computer Vision technologies. Ensure strategies are innovative, competitive, and compliant with industry standards.
• Solution Design and Implementation: Lead the creation of advanced AI/ML solutions across diverse domains such as healthcare, retail, and industrial. Focus on integrating Generative AI models like GPT-4 and computer vision to solve complex business challenges. Ensure solutions are scalable, efficient, and deliver tangible value.
• Experimentation and Customization: Drive experimentation with Prompt Engineering, leveraging Generative AI models and vector databases for search and retrieval. Collaborate with Subject Matter Experts to build custom solutions, ensuring they meet specific project requirements and exceed expectations.
• Technology Leadership: Oversee the technical aspects of AI/ML project delivery, including the development of data pipelines, implementation of machine learning algorithms, and utilization of cloud services like Google Vertex AI and Amazon SageMaker. Ensure the team uses best practices in software development and machine learning.
• Research and Development: Stay ahead of the curve in AI/ML advancements, exploring new technologies, methods, and tools. Apply cutting-edge research in NLP, computer vision, and predictive analytics to practical business problems, driving innovation and competitive advantage.
• Compliance and Risk Management: Assess and mitigate risks associated with AI/ML solutions, focusing on ethical AI use, data privacy, and security. Ensure all solutions adhere to regulatory standards and ethical guidelines, particularly in sensitive domains like healthcare.
• Collaboration and Stakeholder Management: Work closely with cross-functional teams, including data scientists, engineers, and business leaders, to ensure alignment on AI/ML initiatives. Communicate complex AI/ML concepts to non-technical stakeholders, ensuring understanding and buy-in.
• Talent Development and Mentoring: Cultivate a culture of continuous learning within the AI/ML team. Mentor junior data scientists and engineers, sharing knowledge on advanced AI/ML techniques, programming practices, and project management skills.
• Quality Assurance and Continuous Improvement: Implement rigorous testing and validation protocols to ensure the accuracy and reliability of AI/ML models. Lead continuous improvement efforts to enhance model performance, efficiency, and impact on business outcomes.
• Vendor and Technology Ecosystem Management: Evaluate and select technology partners and vendors that align with the AI/ML strategy. Manage relationships with technology providers to ensure access to the latest tools and services, enhancing the organization's AI/ML capabilities.

• Familiarity with Pytest and the ability to write unit tests for software components.
• Implement effective test cases and report test results.
• Understand the fundamentals of API development, including creating, consuming, and testing APIs.
• Collaborate with the development team to ensure seamless integration of APIs into applications.

Your impact:

• Ensuring the highest quality of software development through expert implementation on AI, Gen AI methodologies and advanced frameworks.
• Contributing to the seamless functionality of applications by integrating cutting-edge AI models.
• Enhancing the company's reputation for technical excellence in software development and testing.

About you: (Desired profile)

• Have an eye for detail, methodical approach to modern software development using Gen AI and strong understanding of SDLC discipline.

• At least 5+ years of testing experience as a Senior Data Scientist within a complex technology business environment

• Experience with Generative-AI and LLMS such as GPT4, GPT3.5, Claude, Cohere etc.
• Experience with utilizing Vector databases for search and retrieval solutions.
• Hands-on with Prompt engineering principles and ability to experiment and build custom solutions with Subject Matter experts.
• Should have experience in creating AI/ML solutions in NLP or Computer vision domains using TensorFlow, PyTorch, and Scikit Learn.
• Experience in overlooking the delivery of AI/ML projects.
• Experience in building solutions with AI/ML elements in any one or more domains – Industrial, Healthcare, Retail, Communication
• Create data pipelines for Data preprocessing for Structured (Tabular) and unstructured data (Images/Videos/Text)
• Experience in Cloud services such as Google VERTEX AI, Amazon SageMaker, etc. is a bonus.
• Expertise in solving problems related to computer vision, text analytics, predictive analytics Timeseries, etc.
• Experience with Various Machine Learning Algorithms such as XGBOOST, GRADIENT BOOST, random forests, Linear Logistic Regression………etc.
• Experience with unsupervised techniques such as K-means, DBSCAN, UMAP, Hierarchical clustering, HDBSCAN, Auto encoders……. etc.
• Experience with Transformer models built using Hugging Face Library.
• Experience with Programming Language 3.X

Must have: (Requirements)

• Years of Experience: 5+ years.
• Proven track record of building modern frameworks in agile discipline leveraging AI, ML and Gen AI.
• Develop AI/ML strategies.
• Manage GPT and LLMs projects.
• Design Vector database solutions.
• Lead prompt engineering efforts.
• Build NLP and CV solutions.
• Craft domain-specific AI solutions.
• Implement data preprocessing.
• Utilize Multi-Cloud AI services.
• Solve computer vision problems.
• Innovate in text analytics.
• Develop predictive models.
• Apply ML algorithms.
• Use unsupervised learning.
• Operate Hugging Face models.
• Code in Python 3.X
• Conduct unit testing.
• Work with testing team in validating the scenarios exhaustively.

Nice to have: (Additional desired qualities)

• Excellent team player and self-motivated individual
• Desired skills: Excellent communication and time management skills
• A proactive approach to stay updated with the latest technologies and latest methodologies.

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, candidate’s merit and qualification.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.