Job Description

Location:
Bangalore - Karnataka, India - EOIZ Industrial Area
Job Family:
Engineering
Worker Type Reference:
Regular - Permanent
Pay Rate Type:
Salary
Career Level:
T3(B)
Job ID:
R-44637-2025

Description & Requirements

Introduction: A Career at HARMAN Digital Transformation Solutions (DTS)

We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HARMAN DTS, you solve challenges by creating innovative solutions.

Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity's needs

Java Microservices

Java Developer with experience in microservices deployment, automation, and system lifecycle management(security, and infrastructure management)

Required Skills:

Java, hibernate, SAML/OpenSAML

REST APIs

Docker

PostgreSQL (PSQL)

Familiar with git hub workflow.

Good to Have:

Go (for automation and bootstrapping)

RAFT Consensus Algorithm

HashiCorp Vault

Key Responsibilities:

Service Configuration & Automation:

Configure and bootstrap services using the Go CLI.

Develop and maintain Go workflow templates for automating Java-based microservices.

Deployment & Upgrade Management:

Manage service upgrade workflows and apply Docker-based patches.

Implement and manage OS-level patches as part of the system lifecycle.

Enable controlled deployments and rollbacks to minimize downtime.

Network & Security Configuration:

Configure and update FQDN, proxy settings, and SSL/TLS certificates.

Set up and manage syslog servers for logging and monitoring.

Manage appliance users, including root and SSH users, ensuring security compliance.

Scalability & Performance Optimization:

Implement scale-up and scale-down mechanisms for resource optimization.

Ensure high availability and performance through efficient resource management.

Lifecycle & Workflow Automation:

Develop automated workflows to support service deployment, patching, and rollback.

Ensure end-to-end lifecycle management of services and infrastructure.

What You Will Do

To perform in-depth analysis of data and machine learning models to identify insights and areas of improvement.

Develop and implement models using both classical machine learning techniques and modern deep learning approaches.

Deploy machine learning models into production, ensuring robust MLOps practices including CI/CD pipelines, model monitoring, and drift detection.

Conduct fine-tuning and integrate Large Language Models (LLMs) to meet specific business or product requirements.

Optimize models for performance and latency, including the implementation of caching strategies where appropriate.

Collaborate cross-functionally with data scientists, engineers, and product teams to deliver end-to-end ML solutions.

What You Need to Be Successful

Utilized various statistical techniques to derive important insights and trends.

Proven experience in machine learning model development and analysis using classical and neural networks based approaches.

Strong understanding of LLM architecture, usage, and fine-tuning techniques.

Solid understanding of statistics, data preprocessing, and feature engineering.

Proficient in Python and popular ML libraries (scikit-learn, PyTorch, TensorFlow, etc.).

Strong debugging and optimization skills for both training and inference pipelines.

Familiarity with data formats and processing tools (Pandas, Spark, Dask).

Experience working with transformer-based models (e.g., BERT, GPT) and Hugging Face ecosystem.

Bonus Points if You Have

Experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, or similar).

Experience with monitoring tools (Prometheus, Grafana, or custom solutions for ML metrics).

Familiarity with cloud platforms (Sagemaker, AWS, GCP, Azure) and containerization (Docker, Kubernetes).

Hands-on experience with MLOps practices and tools for deployment, monitoring, and drift detection.

Exposure to distributed training and model parallelism techniques.

Prior experience in AB testing ML models in production.

What Makes You Eligible

Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field.

5-10 years relevant and Proven experience in developing and deploying generative AI models and agents in a professional setting.

What We Offer

Flexible work environment, allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location

Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.)

Extensive training opportunities through our own HARMAN University

Competitive wellness benefits

Tuition reimbursement

"Be Brilliant" employee recognition and rewards program

An inclusive and diverse work environment that fosters and encourages professional and personal development

You Belong Here

HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you - all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.

About HARMAN: Where Innovation Unleashes Next-Level Technology

Ever since the 1920s, we've been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.

Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today's most sought-after performers, while our digital transformation solutions serve humanity by addressing the world's ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.

If you're ready to innovate and do work that makes a lasting impact,

join our talent community today

!

HARMAN is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or Protected Veterans status. HARMAN offers a great work environment, challeng

Important Notice: Recruitment Scams

Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com.




HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.