Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

What you’ll work on

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
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

From the employer’s posting

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

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

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

Tools in this posting

Java
JavaScript

Source

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

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

- 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

- 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

- 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

Job description

View original posting ↗

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

Your next step

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Source & posting history

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Pay: No pay amount identified in the saved description.
Location & working pattern: Hyderabad, Telangana, India
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
More source context
- 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
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at careers.cognizant.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Oct 5, 2026
Recorded sightings: 12
Last seen by us: Oct 8, 2026

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Manager-Data & ML Engg