Job description 

Responsibilities

• Translate business goals for Machine Learning to technical requirements, conduct code/design reviews, and drive the technical implementation of web projects throughout the project lifecycle. • Collaborate with stakeholders to understand business needs and requirements and convert them into ML requirements and hypothesis. • Lead the design, and write code, and ultimately assist in deploying machine learning services. • Possess hands on knowledge in performance, distributed system scalability, system architecture, and engineering best practicesProvide technical guidance and mentorship to team members on ML related tasks. • Own and drive specific area(s) of functionality like machine learning implementation for digital commerce– including prioritized enhancement stories and development of features for those areas of responsibility. • Develop PoCs to validate the feasibility of machine learning implementation • Break down complex technical requirements into Epics and Stories for the teams. • Explain complex technical concepts of ML to both technical and non-technical stakeholders. • Ensure security best practices are integrated into the architecture and design of solutions. • Implement and enforce coding quality, standards, best practices and guidelines through code reviews Contribute to a culture of continuous improvement and agile development.

Technical and Professional Requirements:

• Primary skills:Analytics->Data Science,Analytics->Machine Learning->NLP-Text Analytics,Artificial Intelligence->Data Science,Artificial Intelligence->NLP Deep Learning Algorithms,Machine Learning,Machine Learning->Data Science,Python

Preferred Skills:

Analytics->Machine Learning->NLP-Text Analytics

Machine Learning

Analytics->Data Science

Artificial Intelligence->Data Science

Machine Learning->Data Science

Python

Artificial Intelligence->NLP Deep Learning Algorithms

Additional Responsibilities:

• Demonstrated experience designing and architecting new technology and platform solutions within the Machine Learning ecosystem • Proficient in utilizing Python and well-known machine learning libraries like TensorFlow, PyTorch, and scikit-learn to develop models. • Ability to understand complex application data flows and bridge the gap between technical and business app requirement. • Skilled in optimizing model performance through effective data preprocessing, cleaning, and feature engineering techniques. • Experienced in deploying machine learning models for real-time applications in production environments. • Conducted thorough evaluations, selections, and fine-tuning of models to attain high accuracy and efficiency. • Excellent written, visual, and oral communication skills, ability to clearly and succinctly communicate with key business partners, including senior executives • Excellent collaboration and facilitation skills including the ability to bring together various teams and resources to deliver results • Minimum 10 years of software development experience with 5+ years of experience in machine learning implementations leading multiple Machine Learning projects. • Data driven approach to problem solving. • Understanding of statistical concepts and machine learning algorithms. • Experience with data preparation, cleaning, and transformation techniques.

Educational Requirements

MBA,MCA,MTech,ME,BCA,BTech,Bachelor of Engineering

Service Line

Application Development and Maintenance.