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General information

Location:
Bangalore - Karnataka, India - EOIZ Industrial Area
Job Family:
General & Administration
Worker Type Reference:
Intern (Fixed Term) (Trainee) - Intern
Pay Rate Type:
Salary
JOB ID:
R-40408-2024

Description & Requirements

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.

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.