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Job description
About Cognizant Corporate
Cognizant Corporate is a global community united by a shared purpose: to make a meaningful impact. We are committed to excellence and driven by outcomes that matter. Collaboration is at the heart of how we work, and our forward-thinking mindset fuels continuous learning, innovation, and growth. At Cognizant, careers transcend titles. We empower our people to think strategically, inspire others, and lead with purpose, always guided by our core values. Join us in shaping the future of business. Could you be the one to make a difference?
About The Role
As a Tech Lead/Architect (M) – Python and Data Science Tech Stack, you will drive impactful contributions and focus on delivering data-driven solutions that create business value. You will be a key member of the engineering and data science organization, collaborating with technical teams, business stakeholders, architects, and cross-functional partners. You will have the autonomy to lead, innovate, and improve workflows while upholding our commitment to quality and continuous learning.
In This Role, You Will
Lead and mentor a team of Python developers and data scientists, providing technical guidance, fostering innovation, and driving a collaborative team culture.
Architect, design, and develop scalable, robust, and high-performance software solutions using Python and modern data science technologies.
Oversee project delivery by managing technical design, timelines, stakeholder communication, and ensuring successful execution within scope and budget.
Implement and optimize machine learning models, data science solutions, and analytics capabilities to address complex business challenges.
Collaborate with cross-functional teams and business stakeholders to translate business requirements into technical solutions while ensuring consistency, integration, and engineering excellence across projects.
What You Must Have To Be Considered
12+ years of hands-on experience in application design and engineering.
Strong proficiency in Python programming and data science libraries including Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.
Deep understanding of machine learning algorithms, statistical analysis, and predictive modeling techniques.
Expertise in data preprocessing, feature engineering, data wrangling, and model optimization.
Strong experience with SQL and NoSQL databases.
Experience with big data technologies such as Hadoop, Spark, and Kafka.
Proficiency in CI/CD implementation using Jenkins, GitLab CI, CircleCI, Azure DevOps, or similar platforms.
Hands-on experience with Docker and Kubernetes.
Experience working with cloud platforms including AWS, Microsoft Azure, and Google Cloud Platform (GCP).
Strong analytical, problem-solving, leadership, and stakeholder management skills.
M.Sc., M.Tech., or B.Tech. in Computer Science, Artificial Intelligence, or a related field.
Experience in a similar leadership role within the industry.
A strong sense of ownership, desire to create meaningful outcomes, and passion for impactful work.
The embodiment of Cognizant’s Values of: Work as One, Dare to Innovate, Raise the Bar, Do The Right Thing, and Own It.
These Will Help You Succeed
Relevant certifications in Data Science, Artificial Intelligence, and Machine Learning.
Experience leading large-scale data science and AI transformation initiatives.
Strong experience with enterprise architecture and solution design.
Proven ability to develop innovative solutions for complex technical and business problems.
Expertise in performance tuning and scalability optimization for data-driven applications.
Work Model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring work from a Cognizant office in Bangalore or Chennai as needed by business and project requirements. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting and may change based on project, business, or client requirements.
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
Questions you may be asked
What is the difference between an AWS Region and an Availability Zone?
Explain the AWS shared responsibility model.
What is Amazon EC2, and how do you read an instance type name like m7g.large?
What is Amazon S3, and what are its main storage classes?
