Principal Engineer

REQUIREMENTS:

• Experience: 13+ years
• Must have skills in Machine Learning on AWS (Strong), ChatGPT, CUI and Chatbots.
• Machine Learning Architect will design, implement, and maintain scalable machine learning solutions, oversee the development of the model development framework, and ensure robust and efficient machine learning pipelines.
• Key responsibilities include defining architecture and infrastructure, collaborating with cross-functional teams, and staying updated on the latest ML advancements. Role will also include mentoring junior team members, ensure best practices and coding standards, and translate business objectives into actionable insights.
• Required skills include CI/CD, GitHub, Confluence, SQL/NoSQL, data engineering, cloud platforms (GCP/AWS/Azure), machine learning pipelines, predictive and prescriptive analytics, and MLOps. Experience with Docker, Kubernetes, NLP use cases, VSCode, Jupyter Notebook, and Linux/Unix operating systems is also beneficial.
• Strong troubleshooting skills in different disparate technologies and environments.
• Enthusiastic about different areas of work and exploring new technologies.
• Clarity of thought and strong communication skills to effectively pitch solutions.
• Ability to explore and grasp new technologies.
• Mentoring your team members in projects and helping them keep up with new technologies.
• Empowering the team members to be solution providers and enable a flat environment where everyone's point of view is considered and feedback is encouraged**.**

RESPONSIBILITIES:

• Understanding the clients business use cases and technical requirements and being able to convert them into a technical design that elegantly meets the requirements
• Mapping decisions with requirements and being able to translate the same to developers
• Identifying different solutions and being able to narrow down the best option that meets the clients requirements
• Defining guidelines and benchmarks for NFR considerations during project implementation
• Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for the developers
• Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed
• Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
• Understanding and relating technology integration scenarios and applying these learnings in projects
• Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken
• Carrying out POCs to make sure that suggested design/technologies meet the requirements

Requirements

Bachelor's or Master's degree in computer science, Information Technology, or a related field.