Location: Remote, Full Time
Role Description
This is a full-time remote role for a Full Stack Engineer - Java & Angular at MindWise Technologies. As a Full Stack Engineer, you will be responsible for developing and maintaining robust software applications using Java and Angular, contributing to the design and architecture of the systems, and ensuring seamless integration of front-end and back-end components. You will collaborate with cross-functional teams to deliver high-quality solutions that meet the evolving needs of the healthcare industry.
Qualifications
Location: Remote, Full Time
Role Description
This is a full-time remote role for a Technical Team Lead. The Technical Team Lead will manage a team of technical professionals and oversee technical projects, with a balanced focus on both management and technical responsibilities (50% management and 50% technical).
Management responsibilities include managing the development and QA teams, overseeing the storyboard using Jira, and creating project status reports for clients. The Technical Team Lead will also provide leadership, mentor team members, and collaborate with other teams to ensure project success.
Technical responsibilities involve solving technical queries from the team, contributing to development tasks, and overseeing software architecture to ensure robust and scalable solutions
Qualifications
Location: Remote, Full Time
Role Description
· AI architect will be responsible to design, build, deploy & continuously optimize cloud native Machine Learning system.
· You would work closely with other Data & ML Engineers to design and develop data/ML pipelines for continuous training of various AI/ML models.
· As part of architecture development, you will work together with Data Scientists, data engineers and model development team to enable the ML Model end-to-end lifecycle i.e., from Commissioning training datasets, deploying it in PROD environment & implement model drift by following best practices in model monitoring.
· As part of the design and architecting principles, will ensure seamless deployment and efficient re-use in multi project variant scenarios with focus on ensuring cost-effective deployments.
· As part of the job responsibility, will also enable the downstream users and core development team to define common touch point for integration.
· As part of the design principles, you will ensure automation at all steps of validation.
Qualifications
· Master's degree/ bachelor's degree in computer science or Information Science or equivalent engineering stream.
· Experience: Overall 12+ years of experience, including DevOps with 6+ years experience in Machine Learning Engineering & 3+ years experience in leading a team of at least 3 members
Additional Information
Mandatory Skills & experience:
· Strong programming skills in Python.
· Hands-on experience with cloud native MLOps frameworks and services (AWS).
· Good SQL knowledge.
· Experience with CI/CD practices, DevOps, and MLOps principles.
· Experience with DevOps, data pipelines, AWS ECR registry, deployment methods viz. Docker, K8s, etc.
· Good knowledge of ML model development and deployment life cycle.
Preferred Skills:
· Experience with functional and system integration testing.
· Experience working with Agile methodologies and frameworks.
· Hands-on experience with scaling using containerization in a cloud environment (AWS).
· Functional understanding of core data engineering concepts – data management, data lakes, data analysis and data lifecycle.
· Motivating attitude, strong communication, interpersonal skills, structured and analytical thinking.
If you're interested in one of our open positions, start by applying here and attaching your resume.
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