Principal Data Scientist
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1 Vacancy
Job Summary
Job Description
Today the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.
At Infosys we assure that your career will never stand still we will inspire you to build whats next and we will navigate further together. Our journey of learnability values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.
Your role
- Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the teams evolving role in a rapidly advancing GenAI landscape.
- Lead the design and deployment of predictive and generative AI models that power personalization pricing search and optimization in manufacturing domains.
- Collaborate with product leaders to align ML initiatives with strategic business goals and drive product innovation through data-driven experimentation and modelling.
- Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g. AWS EC2 Kubernetes) to support efficient model training deployment and analytics across diverse datasets.
- Ensure long-term performance and compliance of production AI models though robust governance and monitoring.
- Provide technical leadership and mentorship to data scientists shaping an innovative team culture and fostering high-performance and continuous learning.
- Serve as a cross-functional technical leader shaping company-wide technical initiatives beyond data science. Partner with engineering product and platform teams to influence architecture innovation agendas and technical standards across the organization.
- Act as a senior technical advisor leading resolution of complex modelling issues and acting as the escalation point for critical incidents.
- Lead the exploration and strategic application of GenAI identifying high-impact use cases and guiding their integration across products and platforms.
- Advanced academic credentials in a quantitative field such as Computer Science Engineering Mathematics or related discipline
- 8 years of experience in data science machine learning or applied AI with a strong portfolio of high-impact projects in production
- Expert-level programming skills in Python and SQL and fluency with leading ML/AI frameworks (e.g. scikit-learn TensorFlow PyTorch)
- Direct experience with GenAI/LLM technologies including tools like Hugging Face LangChain OpenAI APIs vector databases and fine-tuning methods
- Deep knowledge of machine learning algorithms (supervised unsupervised deep learning) including model evaluation explainability and selection for business-critical use cases
- Strong hands-on experience with cloud infrastructure (AWS) containerization (Docker) and orchestration (Jenkins Airflow)
- Proven capability in MLOps including CI/CD pipelines model monitoring versioning and automated retraining
- Hands of experience with design and analysis of A/B and multivariate experiments to measure the impact of product changes and business strategies with statistical rigor
- Experience working with cloud environments like AWS and leveraging its offerings such as Lambda Bedrock SageMaker etc
- Experience deploying and serving models through APIs (e.g. Flask FastAPI) in both real-time and batch-processing environments
- Excellent communication and stakeholder management skills able to translate complex concepts into actionable insights for non-technical audiences
- Demonstrated success mentoring teams guiding technical strategy and advocating for best practices in experimentation reproducibility and ethical AI
- Experience working in agile product development environments (Scrum/Kanban); experience influencing product roadmaps is a strong plus
Preferred
- Hands-on expertise in AI and LLM development with Finetuning expertise in a real-world business environment
- Experience deploying AI models for real-time applications in manufacturing domain
- Strong knowledge base of MLOps practices for efficient model deployment and scaling
- Proven leadership and mentorship experience with a passion for developing and inspiring high-performing teams
- Contributions to open-source AI/ML projects publications or presentations at industry conferences
- Design and manage reusable and consistent feature stores to improve model development efficiency.
- Use DVC (Data Version Control) for experiment tracking and data lineage alongside Git.
- Design and implement event-triggered systems (e.g. via AWS Lambda triggers) for ML operations.
- Integrate ML models into serverless computing workflows for lightweight on-demand inference.
Personal
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:
About Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.
Visit to see how Infosys can help your enterprise navigate your next.
All aspects of employment at Infosys are based on merit competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer
Today the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.
At Infosys we assure that your career will never stand still we will inspire you to build whats next and we will navigate further together. Our journey of learnability values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.
Your role
- Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the teams evolving role in a rapidly advancing GenAI landscape.
- Lead the design and deployment of predictive and generative AI models that power personalization pricing search and optimization in manufacturing domains.
- Collaborate with product leaders to align ML initiatives with strategic business goals and drive product innovation through data-driven experimentation and modelling.
- Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g. AWS EC2 Kubernetes) to support efficient model training deployment and analytics across diverse datasets.
- Ensure long-term performance and compliance of production AI models though robust governance and monitoring.
- Provide technical leadership and mentorship to data scientists shaping an innovative team culture and fostering high-performance and continuous learning.
- Serve as a cross-functional technical leader shaping company-wide technical initiatives beyond data science. Partner with engineering product and platform teams to influence architecture innovation agendas and technical standards across the organization.
- Act as a senior technical advisor leading resolution of complex modelling issues and acting as the escalation point for critical incidents.
- Lead the exploration and strategic application of GenAI identifying high-impact use cases and guiding their integration across products and platforms.
- Advanced academic credentials in a quantitative field such as Computer Science Engineering Mathematics or related discipline
- 8 years of experience in data science machine learning or applied AI with a strong portfolio of high-impact projects in production
- Expert-level programming skills in Python and SQL and fluency with leading ML/AI frameworks (e.g. scikit-learn TensorFlow PyTorch)
- Direct experience with GenAI/LLM technologies including tools like Hugging Face LangChain OpenAI APIs vector databases and fine-tuning methods
- Deep knowledge of machine learning algorithms (supervised unsupervised deep learning) including model evaluation explainability and selection for business-critical use cases
- Strong hands-on experience with cloud infrastructure (AWS) containerization (Docker) and orchestration (Jenkins Airflow)
- Proven capability in MLOps including CI/CD pipelines model monitoring versioning and automated retraining
- Hands of experience with design and analysis of A/B and multivariate experiments to measure the impact of product changes and business strategies with statistical rigor
- Experience working with cloud environments like AWS and leveraging its offerings such as Lambda Bedrock SageMaker etc
- Experience deploying and serving models through APIs (e.g. Flask FastAPI) in both real-time and batch-processing environments
- Excellent communication and stakeholder management skills able to translate complex concepts into actionable insights for non-technical audiences
- Demonstrated success mentoring teams guiding technical strategy and advocating for best practices in experimentation reproducibility and ethical AI
- Experience working in agile product development environments (Scrum/Kanban); experience influencing product roadmaps is a strong plus
Preferred
- Hands-on expertise in AI and LLM development with Finetuning expertise in a real-world business environment
- Experience deploying AI models for real-time applications in manufacturing domain
- Strong knowledge base of MLOps practices for efficient model deployment and scaling
- Proven leadership and mentorship experience with a passion for developing and inspiring high-performing teams
- Contributions to open-source AI/ML projects publications or presentations at industry conferences
- Design and manage reusable and consistent feature stores to improve model development efficiency.
- Use DVC (Data Version Control) for experiment tracking and data lineage alongside Git.
- Design and implement event-triggered systems (e.g. via AWS Lambda triggers) for ML operations.
- Integrate ML models into serverless computing workflows for lightweight on-demand inference.
Personal
Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include:
- High analytical skills
- A high degree of initiative and flexibility
- High customer orientation
- High quality awareness
- Excellent verbal and written communication skills
About Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through the many next of their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.
Visit to see how Infosys can help your enterprise navigate your next.
All aspects of employment at Infosys are based on merit competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer
Required Experience:
Staff IC
Key Skills
- Machine Learning
- Python
- Data Science
- AI
- R
- Research Experience
- Sensors
- Drug Discovery
- Research & Development
- Natural Language Processing
- Data Analysis Skills
- Toxicology Experience
About Company
Welcome to Infosys Careers for Experienced Professionals As a leading provider of next-generation consulting, technology and outsourcing solutions, we are dedicated to helping organizations in over 46 countries to renew their core and simultaneously innovate into new frontiers. Whilst ... View more
