Tech Lead MLOps/DevOps Engineer || Hyderabad ||

The successful candidate will be instrumental in helping to build, test, and maintain the infrastructure and tools to allow for the speedy development and release of software and updates, as well as pushing the limits of a wide breadth of the tools and approaches to AI/Machine Learning for our advanced products and system using video information and IoT systems. The successful candidate possesses experience researching and developing new projects with a team, while applying knowledge communication ability to discussion on problem requirements and the planning of new ideas with the team and stakeholders.

Qualifications: Minimum of 3 years of hands-on experience with AWS services and products (Batch, SageMaker, StepFunctions, CloudFormation/CDK) Strong Python experience Minimum of 3 years of experience with Machine Learning/AI or Computer Vision development/engineering Ability to provide technical leadership to developers for designing and securing solutions Understanding of Linux utilities and Bash Familiarity of containerization with Docker Experience with data pipeline frameworks, such as MetaFlow (preferred) Experience in Lambda, SQS, ALB/NLBs, SNS, and S3 (preferred) Experience with AWS Fargate Serverless Computing Engine (preferred) Practical experience deploying Computer Vision/Machine Learning solutions at scale into production Exposure and/or understanding of technologies/tools such as: Keras, Pandas, TensorFlow, PyTorch, Caffe, NumPy, DVC/CML"

Building and setting up new development tools and infrastructure Designing, building, and maintaining efficient, reusable, and tested code in Python and other applicable languages and library tools Understanding the needs of stakeholders and conveying this to developers Working on ways to automate and improve development and release processes Bringing your professional and high-level experience in working with video technologies in areas of preprocessing, neural nets, computer vision, etc. Deploying Machine Learning (ML) to large production environments Driving for continuous learning in the AI and computer vision fields Testing and examining code written by others and analyzing results Ensuring that systems are safe and secure against cybersecurity threats Identifying technical problems and developing software updates and ‘fixes’ Working with software developers and software engineers to ensure that development follows established processes and works as intended Planning out projects and being involved in project management decisions."

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!