Qualification & Experience

• Must have at least a bachelor's degree in Computer Science or similar
• Minimum 4 years of relevant work experience
• Experience with leading machine learning projects

Required Skills/Competencies

• Proficient in Basic Machine Learning concepts: algorithms, evaluation procedures, etc, and dealing with Common failure modes
• Proficient in at least two areas of application (CV, NLP, Recommendation System, Time Series Forecasting, etc.) 
• Has a sound knowledge of mathematical concepts like Linear Algebra, Probability and Statistics, Calculus
• Proficient in framework & libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, and at least one of TensorFlow or Pytorch. Proficient in Flask, FastAPI or Django, and some domain-specific tools (OpenCV, spacy, etc.)
• Proficient in programming language and concepts such as Python + OOP + SOLID, Data Structures and Algorithms, RESTful APIs, and familiar with Architecture Design
• Good Grasp of software tools and platforms such as git, conda, pip, jupyter, Docker, and at least one cloud platform like AWS/GCP
• Good grasp of a database such as SQL/NoSQL
• Has a good grasp of agile processes like Sprint and Kanban
• Good Team Management, Communication, and Problem-Solving Skills

Key Responsibilities

• Develop AI applications to adhere to designs that support business requirements for internal and external clients
• Research and develop machine learning models and work on the whole ML pipeline: data collection, wrangling, pre-processing, model building, evaluation, and deployment
• Perform data analysis to uncover insights that can be immediately actionable or can inform decisions around the ML process
• Take initiative and ownership in writing requirement specifications and design documents for a variety of development tasks including feature development, database design, and system integrations
• Preparation, drafting, and review of software documentation and project reports to meet internal and client requirements
• Orchestrate deployment, monitoring, and maintenance of ML applications as per requirement
• Lead one or more projects in different capacities (if required)
• Guide other developers and help them (as required) to do their work and look for ways to improve overall team output
• Contribute to sub-department, department, and organizational level Operational tasks
• Take on Leadership roles (like Supervisorial) as required
• Take on a consultative role in multiple projects if required
• Improve the Engineering practices, processes, and output of the whole/ sub department

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.