Launch Your Tech Career with HARMAN International: Freshers Hiring for Machine Learning Engineers!!

Company : HARMAN International (A Samsung Company)

Position: Machine Learning Engineer

Location: Pune , Bangalore , Gurgaon , Coimbatore

Experience : Freshers

Qualification : Graduation

Accountability :

• A candidate will be responsibile for supporting the design, development, and implementation of machine learning models and algorithms.

• A candidate will be responsibile for collaborating with cross-functional teams to understand business needs and create technical solutions that align with organizational goals.

• A candidate will be responsibile for preprocessing and analyzing large datasets to uncover insights and identify patterns for decision-making.

• A candidate will be responsibile for performing tasks like data cleaning, feature engineering, and data augmentation to improve model accuracy and efficiency.

• A candidate will be responsibile for conducting experiments to test hypotheses, compare machine learning techniques, and evaluate performance to choose the best approach.

• A candidate will be responsibile for implementing and optimize machine learning pipelines for efficiency and scalability, ensuring smooth integration of data, models, and systems.

• A candidate will be responsibile for deploying machine learning models into production, monitor their performance, and make adjustments as needed to maintain effectiveness.

• A candidate will be responsibile for documenting methodologies, processes, and results to enable reproducibility and support knowledge sharing within the organization.

• A candidate will be responsibile for staying updated with advancements in machine learning and related technologies to provide innovative and effective solutions.

• A candidate will be responsibile for contributing to the organization's data-driven initiatives, improve operational efficiency, and support strategic decision-making through machine learning applications.

Qualification :

• A candidate should have a bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

• A candidate should have 0-2 years of experience in machine learning, Generative AI, Deep Learning, and Natural Language Processing, showing foundational knowledge and growing expertise.

• A candidate should have a strong understanding of statistical modeling, machine learning, and data mining techniques, including concepts like supervised and unsupervised learning, regression, classification, clustering, and neural networks.

• A candidate should have a proficiency in programming languages, especially Python, is required.

• A candidate should have a hands-on experience with machine learning and Generative AI tools such as PyTorch, Keras, Scikit-learn, LangChain, LlamaIndex, ChromaDB, and Qdrant is essential.

• A candidate should have strong problem-solving skills and the ability to think critically and creatively to approach challenges.

• A candidate should have a strong communication and presentation skills are important, with the ability to explain complex concepts clearly to both technical and non-technical audiences.

• A candidate should be able to work independently and as part of a team in a fast-paced, dynamic environment.

• A candidate should have a flexibility and adaptability are important to manage evolving priorities and technologies.

• A candidate should have a internship or project experience related to machine learning or data science is highly valued, as it demonstrates practical skills and real-world knowledge.

• A project portfolio, including personal or pet projects, is an asset and shows initiative, creativity, and technical ability.

• Overall, a candidate should combine technical knowledge, practical experience, and soft skills to contribute to machine learning and data science initiatives and drive innovation

Skills:

• A candidate should have experience with big data tools and platforms like Hadoop, Spark, or Hive, which help in processing large datasets effectively.

• A candidate should have experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform, enabling them to use cloud resources for data storage, processing, and application deployment.

• A candidate should be familiar with both SQL and NoSQL databases, demonstrating the ability to work with both structured and unstructured data.

• A candidate should have knowledge of software development best practices and be proficient in version control tools like Git, ensuring organized and collaborative workflows.

• A candidate should be familiar with Agile methodologies, which allows them to contribute effectively in dynamic and iterative development environments.

Apply Now:

For more details and to apply: Click here

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