Senior Python & ML Developer

Overview

BYLD Group is committed to making a difference to people and their organizations through its decades of excellence in business solutions, diverse corporate exposure, and skilled workforce. Our clients across various industries believe us in managing, developing, and aligning their corporate needs with their organizational goals and objectives.

Founded in the year 1998, BYLD is the largest group in the South Asian region, offering technology-enabled HR and business productivity solutions. We have served 5,00,000+ individuals, worked with more than 50% of the Fortune 500 and over 60% of the Business World top 1000 companies.

Please read about us – www.byldgroup.com

Designation: Senior Python & ML Developer

Experience: 4-6Years

Location: Gurgaon, Sec 44

Job Summary: We are looking for an experienced Machine Learning Developer with 4-6 years of hands-on experience. The ideal candidate will have expertise with YoLo models, TensorFlow, and Python, as well as experience in training models, creating API endpoints, and optimizing ML solutions. This role is primarily hands-on, with 80% focus on technical work and 20% on leadership and team management.

Key Responsibilities

• 2-4 years of hands-on experience with complete machine learning life-cycle projects.
• Proficiency in Python and ML libraries/frameworks such as TensorFlow, YoLo models, PyTorch, Scikit-learn.
• Experience in developing and deploying APIs for ML models.
• Strong understanding of algorithms for object detection and categorization.
• Familiarity with data annotation tools and techniques for object detection.
• Knowledge of natural language processing (NLP) techniques.
• Experience working in Scrum teams and pursuing collective team goals.
  
  

• Develop, train, and optimize machine learning models for object detection and categorization.
• Create and maintain APIs for deploying ML models in production.
• Collaborate with cross-functional teams to translate business requirements into ML solutions.
• Implement and evaluate algorithms for object detection and categorization.
• Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy.
• Stay updated with advancements in machine learning, deep learning, and AI technologies.
• Troubleshoot and resolve issues related to model performance and deployment.
• Document and present findings, methodologies, and results to both technical and non-technical
  
  

• Learn directly from industry experts with 20+ years of experience
• Opportunity to work in a dynamic and collaborative environment.
• Professional development and growth opportunities.
• Gain experience in world class management practices
• Insurance Benefits (Medical and Accidental) for all employees
• Multi-level Rewards programs for all employees
  
  

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