eInfochips (An Arrow Company)
Location
Pune | India
Job description
Role: Data Scientist Experience: 5+ years Location: Pune/Ahmedabad/Indore Company Overview: eInfochips, an Arrow company, is a global leader in product engineering and semiconductor design services. Renowned for our technological innovations, we've developed over 500 products, achieving 40M deployments across 140 countries. Our expertise spans digital transformation, IoT solutions, cloud platforms like AWS and Azure, and a range of engineering services in silicon, embedded systems, and software. At eInfochips, we're committed to excellence, fueled by our experienced team and a culture of innovation.
Job Description: We are looking for a talented and experienced Data Scientist with a strong background in deep learning, Python programming, and AWS SageMaker. The primary responsibilities will include designing and building machine learning and deep learning models using Python and PyTorch, and deploying them on AWS SageMaker. The ideal candidate will have at least 5 years of working experience in the field, with a proven track record of successfully designing and implementing ML and deep learning models. Key Responsibilities: Designing and building machine learning and deep learning models using Python and PyTorch Deploying models on AWS SageMaker and optimizing them for performance and scalability Collaborating with cross-functional teams to identify business requirements and translate them into technical solutions Conducting research and staying up-to-date with the latest advancements in deep learning and AI technologies Working with big data technologies like Spark to process and analyze large datasets Implementing DevOps/MLOps practices for effective model deployment and monitoring Providing technical guidance and mentoring to junior team members Requirements: 5+ years of working experience in designing and building ML and deep learning models Strong experience in Python programming, including libraries like NumPy, Pandas, and Scikit-learn Expertise in deep learning frameworks such as PyTorch Proficiency in using AWS cloud data services, particularly AWS SageMaker Experience with big data technologies like Spark for data processing and analysis Familiarity with DevOps/MLOps practices, including version control, CI/CD, and containerization Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to work independently and in a team environment . What We Offer: Competitive Salary Work Life Balance Professional Development Innovative Work Environment. Recognition and RewardsJob tags
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