Total Experience Required:–

6+ years with at least 4 years of Machine Learning and AI

Technical Skills Required:-

• Programming skills:- Python (with working experience in most of common libraries like Scikit , numpy, pandas, mathplotlib, keras,  tensorflow /pytorch, nltk, genism, spacy etc)

• Good knowledge in statistics and math in deep understanding on ML algorithms and their usage

• Working experience in end to end data science project life cycles from use case framing, data collection, data exploration, model building, deployment

• Working experience in most of the common Machine Learning techniques related to Time series, Regression, Classification, Clustering, NLP, working with IoT data

• Working Knowledge in Deep learning with different NN architectures like CNN, RNN, LSTM, RCNNs, GANs, Transformers, VAE etc with strong hold on Pytorch or Tensrflow libraries.

• Knowledge of visualization tools like tableau and cloudera  libraries to effectively communicate the results/inferences derived out of data science models

• Good to have working exposure in common cloud environments and understanding of robust on premise data science infrastructure.

• Nice to have understanding of big data related technologies, MLOps and AWS/Azure cloud.

Key Responsibilities

Ensure effective and efficient execution of the project to established guardrails of scope, timeline and budget. Track execution and compliance metrics and provide regular status and feedback to stakeholders Actively manage all aspects of project planning and execution in line with established processes and guidelines Work with line managers (Competency Center), Resource Management to staff project and resolve staffing issues Actively manage and ensure compliance to project financial processes, reporting and escalation Conduct appropriate reviews to ensure documentation and solutions are of acceptable quality Manage project risks, making sure they are identified, evaluated and addressed as per established guidelines Mentors and trains team members in project management.

Functional Knowledge

• Demonstrates depth and/or breadth of expertise in own specialized discipline or field

Business Expertise

• Interprets internal/external business challenges and recommends best practices to improve products, processes or services

Leadership

• May lead functional teams or projects with moderate resource requirements, risk, and/or complexity

Problem Solving

• Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions

Impact

• Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies

Interpersonal Skills

• Communicates difficult concepts and negotiates with others to adopt a different point of view

Education: Bachelor’s Degree in Computer Science