Manager-Data & ML Engg

00069075411

Date published Oct 05 2026
Location Hyderabad / India
Job category Technology & Engineering
Work model Hybrid

Job Summary

Manager Data and ML Engineering role focusing on designing building and optimizing scalable data platforms and machine learning solutions using Java advanced JavaScript and advanced Java in a hybrid work model enabling secure high quality data products that power analytics and intelligent applications for global business stakeholders in a collaborative and inclusive environment

Responsibilities

Architect robust data pipelines and platforms that ingest transform and serve large scale datasets using Java and advanced Java to support analytics and machine learning initiatives for diverse business functions

Design modular and reusable services and APIs using Java and advanced JavaScript that reliably expose data and ML capabilities to internal applications and external partner systems

Develop production ready machine learning workflows that manage data preparation feature engineering model training and model deployment while ensuring traceability and reproducibility across environments

Implement strong data quality controls including validation checks anomaly detection data reconciliation and monitoring to maintain trusted datasets for decision making

Optimize performance of batch and real time data processing jobs by tuning code parallelization strategies and resource usage to achieve reliable throughput and cost efficiency

Collaborate closely with data scientists analysts and product teams to translate analytical requirements into scalable engineering solutions that deliver measurable business outcomes

Establish coding standards review practices and version control workflows that improve reliability maintainability and security of data and ML engineering codebases

Coordinate with cloud infrastructure and security teams to ensure data pipelines storage layers and ML services adhere to enterprise standards and regulatory expectations

Create detailed technical documentation for data models transformation logic interface contracts and operational procedures that help teams onboard and maintain solutions efficiently

Enable robust observability by implementing logging metrics and alerting for data and ML pipelines so that issues are detected early and resolved with minimal business disruption

Mentor junior engineers by reviewing work sharing best practices and guiding them through complex engineering problems to raise overall team capability and delivery quality

Drive continuous improvement by evaluating new tools frameworks and design patterns in the Java and JavaScript ecosystem and proposing adoption where they add clear value

Align engineering activities with organizational sustainability and social impact goals by prioritizing efficient architectures that reduce resource consumption and support ethical use of data

Qualifications

Demonstrate ten to fourteen years of hands on experience in designing and implementing data intensive applications using Java and advanced Java with strong focus on scalability and reliability

Exhibit advanced proficiency with modern JavaScript frameworks and tooling to build or integrate front end or service layer components that interact with data and ML platforms

Apply solid understanding of machine learning lifecycle including feature pipelines model training evaluation and deployment using industry standard tools and libraries

Show proven experience working in hybrid work models by effectively collaborating across onsite and remote teams using structured communication and documentation practices

Display strong knowledge of relational and nonrelational databases data warehousing concepts and streaming platforms to support both batch and real time data solutions

Utilize deep expertise in software engineering fundamentals including algorithms data structures design patterns testing strategies and secure coding practices

Communicate complex technical concepts clearly to technical and nontechnical stakeholders while gathering feedback and aligning solutions to business objectives

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Applicants for US based positions must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for US based positions.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more.

Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

Cognizant has one of the best learning ecosystems you can ask for. From sponsored certifications to training platforms to mentorship, we have all that we need to grow.

Debashish Mishra SAP MM Developer

Cognizant offers me more than a job; it offers a community. We support each other, collaborate across borders and celebrate wins together. If you’re looking for a culture that values flexibility, diversity and growth, this is the place to be.

Laura Reynaud Lead Counsel

When I first joined, I was quiet and hesitant to share my thoughts. The leadership programs and the mentoring I’ve received have helped me find my voice and grow as a leader.

Sujatha Gopalakrishnan Portfolio Delivery Lead

I’ve had the chance to work on impactful projects and shadow colleagues, all while getting involved in internal initiatives. The world is your oyster at Cognizant—you just need to take advantage of it!

Lucas Hoffman Consultant

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Manager-Data & ML Engg