Job Description
Wipro Limited
System Engineer - L4
Wipro Limited • Ahmedabad, Gujarat • via JobGrin
Full–time
No Degree Mentioned
Apply on JobGrin
Apply on Job Referral
Apply on Jooble
Apply on Jobrapido.com
Job description
System Engineer - L4
Location: Ahmedabad, India
Company: Wipro Limited
Company Overview
Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their b...
Report this listing
Wipro Limited
Glassdoor
3.6/5
71.4K reviews
AmbitionBox
3.7/5
60K reviews
Indeed
3.8/5
16.9K reviews
wipro.com
More jobs at Wipro Limited
See web results for Wipro Limited
BIG IT JOBs
Sr ML Engineer
BIG IT JOBs • Ahmedabad, Gujarat • via BIG IT JOBs
Full–time
Apply directly on BIG IT JOBs
Job description
About the Company: Founded in 2010, the company is headquartered in Ahmedabad and has a dedicated team of over 200 professionals. With a strong focus on product development, the company specializes in IT infrastructure management and monitoring, offering software products that provide real-time processing, data correlation, and intelligent visualization solutions.
Roles and Responsibilities:
• Lead the end-to-end machine learning lifecycle, understand the business problem statement, convert into ML problem statement, data acquisition, exploration, feature engineering, model selection, training, evaluation, deployment, and monitoring (MLOps).
• lead the team of ML Engineers to solve the business problem and get it implemented in the product, QA validated and improvise based on the feedback from the customer
• Collaborate with product managers to understand business needs and translate them into technical requirements for AI/ML solutions.
• Design, develop, and implement machine learning algorithms and models, including but not limited to statistics, regression, classification, clustering, and transformer-based architectures.
• Preprocess and analyze large datasets to extract meaningful insights and prepare data for model training.
• Build and optimize machine learning pipelines for model training and inference using relevant frameworks.
• Fine-tune existing models and/or train custom models to address specific use cases.
• Enhance the accuracy and performance of existing AI/ML models through monitoring, iterative refinement and optimization techniques.
• Collaborate closely with cross-functional teams to integrate AI/ML features seamlessly into our product, ensuring scalability, reliability, and maintainability
Note: We appreciate every application, however, due to a high volume of applicants, only shortlisted candidates will be contacted.