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Flex Tcs Java Developer Jobs in Chicago, IL (NOW HIRING)

Lead ML Engineer

Deerfield, IL

$104K - $137K/yr

... TCS (TATA Consultancy Services) Required Skills * Languages: Python (required); SQL; optional Java ... * DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional) * Cloud: Azure, logging/monitoring

... Java development experience Knowledge and working experience with Atlassian tools such as JIRA ... flex box Integration knowledge and experience with exposed services (e.g. REST, SOAP, etc ...

Senior Software Engineer

Chicago, IL · On-site

$114K - $167K/yr

Design and implement secure, scalable APIs and backend services using Java (17+) and Spring Boot ... Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses * Tuition ...

Backend: Node.js, Java, REST APIs * Eventing: Kafka * Cloud: AWS (EC2, S3, CloudFormation, Lambda ... Flex PTO * Paid Parental Leave * 30%+ discount on Pampered Chef Products and product giveaways ...

Senior Software Engineer

Addison, IL · On-site

$125K - $135K/yr

Backend: Node.js, Java, REST APIs * Eventing: Kafka * Cloud: AWS (EC2, S3, CloudFormation, Lambda ... Flex PTO * Paid Parental Leave * 30%+ discount on Pampered Chef Products and product giveaways ...

Object-oriented programming in Python/Java, including OOP design patterns and UML architecture ... Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses * Tuition ...

Senior Software Engineer

Chicago, IL · On-site +1

$153K/yr

Object-oriented programming in Python/Java, including OOP design patterns and UML architecture ... Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses * Tuition ...

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As of Jun 18, 2026, the average hourly pay for flex tcs java developer in Chicago, IL is $58.41, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $65.38 per hour, depending on experience, location, and employer.
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$104K - $137K/yr

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Posted 21 days ago


Job description

Role:                   Lead ML Engineer
Location:             Deerfield IL, 60015

Type:                   Full-time role with TCS (TATA Consultancy Services)

 

Job Description:

Required Skills

  • Languages: Python (required); SQL; optional Java/Scala
  • ML/MLOps: MLflow (or equivalent), model registry, monitoring, evaluation pipelines
  • Data: Spark, DataFrames, data modeling fundamentals, feature engineering
  • DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional)
  • Cloud: Azure, logging/monitoring
  • Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines.

 Good to Have

  • Understanding of Data Science models
  • Exposure to Deep Learning frameworks such as TensorFlow or PyTorch
  • Solid understanding of feature engineering, model evaluation, and experimentation.

 Preferred Traits

  • Strong communication and storytelling skills with data
  • Ability to work in a collaborative and fast-paced environment
  • Passion for solving complex business problems using data

 

Roles & Responsibilities:

ML Engineering & Delivery

  • Lead the design and implementation of production ML pipelines for training, batch inference, and real-time/near-real-time scoring.
  • Translate Data Science prototypes into robust, maintainable services and workflows with strong testing, observability, and reliability.
  • Build and manage feature engineering workflows, feature stores (where applicable), and reusable ML components.
  • Drive model packaging and deployment patterns (containers, serverless, managed endpoints) and optimize for performance and cost.

MLOps

  • Implement CI/CD for ML (model versioning, automated testing, promotion gates, rollback strategies) using Azure DevOps / GitHub Actions integrated with Databricks
  • Leverage MLflow (Databricks native) for experiment tracking, model registry, and lifecycle management
  • Establish best practices for model monitoring: data drift, concept drift, model degradation, and alerting.
  • Define and enforce guardrails for responsible AI: bias checks, explainability, privacy controls, and auditability.

 Data & Platform Collaboration

  • Partner with Data Engineering on data quality, lineage, and availability to ensure reliable model inputs.
  • Work with Cloud/Platform teams to ensure scalable infrastructure (compute, networking, IAM, secrets, logging).
  • Influence target architecture and technology decisions for the ML platform roadmap.

Leadership & Mentoring

  • Provide technical leadership and mentorship to ML Engineers and junior team members.

·       Conduct design reviews, code reviews, and establish engineering standards.

  • Coordinate delivery plans, estimate work, and manage technical risks and dependencies.

Thanks & Regards

Himanshu Shahi
VCS Digital LLC
Cell:       +1 || +91

Email:   
Web:    Â