Location: Bangalore
Job Type: Full Time
We are seeking a skilled and experienced Data Scientist with expertise in Natural Language Processing (NLP), Python programming, Generative AI, Large Language Models, Machine Learning, Deep Learning, and associated frameworks. The ideal candidate will play a key role in leading the development and implementation of AI and GenAI solutions.
Key Responsibilities:
- Design, develop, and implement Natural Language Processing solutions leveraging Python and associated frameworks.
- Work on Generative AI models, specifically Retrieval Augmented Generation (RAG), Agentic workflows, LLM finetuning etc to create innovative and effective solutions, ensuring alignment with business goals.
- Utilize Large Language Models for text generation, summarization, and related applications.
- Development, and implementation of machine learning models and algorithms.
- Develop and deploy solutions on the Azure/AWS cloud platform, ensuring scalability, reliability, and efficiency.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Deploy machine learning models into production environments and monitor their performance.
- Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
- Mentor and guide ML engineers and data scientists, fostering a collaborative and growth-oriented team culture.
- Stay up to date with the latest advancements in machine learning, Generative AI and related technologies.
Required Skills and Qualifications:
- Master’s or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 5-7 years of hands-on experience in machine learning, data analysis, or software development.
- Strong fundamental knowledge of statistical modeling, machine learning, deep learning, Generative AI, natural language processing, computer vision etc.
- Proficient in programming languages such as Python and development with the opensource machine learning and Generative AI stack like pytorch, keras, scikit-learn, langchain, llamaIndex, chromaDB, qdrant, SQL, MongoDB etc.
- Experience with developing use-cases related to Conversational AI or Vision AI or AI enabled automation.
- Handson with software development best practices, including version control (Git), DevOps tools and Agile methodologies.
- Handson with MLOps/LLMOps tools and toolchain and their implementation for orchestration, automation, monitoring and retraining covering CI/CD/CT.
- Excellent problem-solving skills and ability to think critically and creatively.
- Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment.
Preferred Skills and Qualifications:
- Experience with big data tools and platforms, such as Hadoop, Spark, or Hive
- Experience with latest technologies in natural language processing or computer vision or Generative AI (RAG, Agentic workflows, multi-modal models etc)
- Good understanding of Responsible AI aspects like explainability , privacy preservation, bias detection etc.
- Published research papers or contributions to the AI/NLP community.
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.
Skills Required
- Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or related field
- 5-7 years of hands-on experience in machine learning, data analysis, or software development
- Proficient in programming languages such as Python and development tools like PyTorch, Keras, Scikit-learn, etc.
- Strong knowledge of machine learning, deep learning, and Generative AI concepts
- Experience with MLOps/LLMOps tools and implementations
Harman Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harman and has not been reviewed or approved by Harman.
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Healthcare Strength — Healthcare coverage is described as comprehensive, often including medical, dental, and vision plans, with HSAs/FSAs and disability or life insurance also referenced. Wellbeing support such as EAP access and onsite occupational health services is also part of the package in some regions.
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Wellbeing & Lifestyle Benefits — Lifestyle-oriented benefits include employee product discounts and region-specific perks like free fruit deliveries, Cycle to Work schemes, and meal coupons or allowances. Flexible schedules and work-from-home options are also part of the overall offering where roles and projects allow.
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Fair & Transparent Compensation — Pay is repeatedly characterized as solid or market-aligned for many roles, with salary payments described as consistent and on time. Compensation is also tied to performance in some accounts, reinforcing a perception of basic fairness for a portion of employees.
Harman Insights
What We Do
Headquartered in Stamford, Connecticut, HARMAN (harman.com) designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things. With leading brands including AKG®, Harman Kardon®, Infinity®, JBL®, Lexicon®, Mark Levinson® and Revel®, HARMAN is admired by audiophiles, musicians and the entertainment venues where they perform around the world. More than 50 million automobiles on the road today are equipped with HARMAN audio and connected car systems. Our software services power billions of mobile devices and systems that are connected, integrated and secure across all platforms, from work and home to car and mobile. HARMAN has a workforce of approximately 30,000 people across the Americas, Europe, and Asia. In March 2017, HARMAN became a wholly-owned subsidiary of Samsung Electronics Co., Ltd. HARMAN is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation. Looking for a challenge where your experience is valued? Come see what you can achieve as a leader with HARMAN!









