Product Technical Lead- Data Science AI/ML

required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

• At least 4 years of Information Technology experience.
• A strong understanding of data analytics best practices, standards, and guidelines; and an experience with applying the same to produce high visibility AI solutions / products
• Experience in building integrated solutions with NLP, Vision, Recommendation Engines, Forecast, Time-Series, Predictive Algorithms
• Programming Skills: Python, Scikit-Learn, TensorFlow, PyTorch, matplotlib
• Exploratory Data Analysis, Machine Learning and Deep Learning Algorithms
• Hypothesis definition, Model building, Hyperparameter tuning and Model performance metrics
• Statistics Knowledge (Probability Distributions, Hypothesis Testing)
• Platform exposure with one of the key AI Services Cloud providers with working knowledge of ML Services, AI Platforms, MLOps, AIOps
• Understanding of planning, design, management, execution, and reporting of the core components for AI/Cognitive solution)
• Experience with TDD practices / frameworks (JUnit (Java) / Jest (React) / Karma / Jasmine)
• Troubleshoot and debug applications to ensure optimal performance.
• Experience and desire to work in a Global delivery environment
• All applicants authorized to work in the United States are encouraged to apply.

Preferred Qualifications:

• Knowledge of Cloud Implementation - Azure, Kubernetes/Docker
• Experience in developing & deploying Microservices, Data Modelling, Database Design, Tuning Design Parameters, Normalization, Solving Performance bottlenecks
• Experience in Middleware, Open-Source tools & technologies
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
• Experience in Production support is good to have
• Experience with monitoring tools is good to have
• Good Communication and Analytical skills

The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email, or face to face. Extensive travel may be required as per client and project needs.