Engineer – AI Data and Analytics Full-time

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

Job Title: Machine Learning Engineer

Location: Bangalore / Pune / Gurgaon / Coimbatore

Job Type: Full Time

We are seeking a highly motivated and talented Machine Learning Engineer to join our dynamic team. This role is ideal for individuals with 0-2 years of experience who are passionate about machine learning, data science, and artificial intelligence. The successful candidate will work closely with our experienced engineers and data scientists to develop, implement, and improve machine learning models and algorithms that drive our products and services.

Key Responsibilities:

• Assist in the design, development, and implementation of machine learning models and algorithms.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Preprocess and analyze large datasets to extract meaningful insights and patterns.
• Perform data cleaning, feature engineering, and data augmentation to improve model performance.
• Conduct experiments to test hypotheses and evaluate the performance of different machine learning approaches.
• Implement and optimize machine learning pipelines for efficiency and scalability.
• Deploy machine learning models into production environments and monitor their performance.
• Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
• Stay up to date with the latest advancements in machine learning and related technologies.

Required Skills and Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• 0-2 years of experience in machine learning, Generative AI, Deep Learning, Natural Language processing.

• Strong fundamental knowledge of statistical modeling, machine learning, and data mining techniques, including supervised and unsupervised learning, regression, classification, clustering, and neural networks.
• Proficient in programming languages such as Python and experience of development with the opensource machine learning and Generative AI stack like pytorch, keras, scikit-learn, langchain, llamaIndex, chromaDB, qdrant etc.
• 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.
• Internship or project experience related to machine learning or data science.
• A project portfolio with multiple real life projects (pet projects are welcome)

Preferred Skills and Qualifications:

• Experience with big data tools and platforms, such as Hadoop, Spark, or Hive
• Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud Platform
• Familiarity with SQL and NoSQL databases
• Understanding of software development best practices, including version control (Git) and Agile methodologies.

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.