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

Manager-Data & ML Engg