AI/ML Ops

Description:

Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive, healthcare and logistics industries. Through our engagement, we contribute to our customer in developing the end-user modules' firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements.

Requirements:

Apply machine learning algorithms to existing operational data (logs, metrics, events) to predict system failures and proactively address potential incidents.
Implement automation for routine DevOps practices including automated scaling, resource optimization, and controlled restarts.
Develop and maintain self-healing systems to reduce manual intervention and enhance system reliability.
Build anomaly detection models to quickly identify and address unusual operational patterns.
Collaborate closely with SREs, developers, and infrastructure teams to continuously enhance the operational stability and performance of the system.
Provide insights and improvements through visualizations and reports leveraging AI-driven analytics.
Create a phased roadmap to incrementally enhance operational capabilities and align with strategic business goals.

Required Skills and Qualifications:
Strong experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn).
Proficiency in data processing and analytics tools (e.g., Splunk, Prometheus, Grafana, ELK stack).
Solid background in scripting and automation (Python, Bash, Ansible, etc.).
Experience with cloud environments and infrastructure automation.
Proven track record in implementing proactive monitoring, anomaly detection, and self-healing techniques.
Excellent analytical, problem-solving, and strategic planning skills.
Strong communication skills and the ability to effectively collaborate across teams.
Preferred Experience:
Background in DevOps/Site Reliability Engineering.
Familiarity with containerization and orchestration platforms (Kubernetes, Docker).
Experience in building scalable, distributed systems.

Job Responsibilities:

Apply machine learning algorithms to existing operational data (logs, metrics, events) to predict system failures and proactively address potential incidents.
Implement automation for routine DevOps practices including automated scaling, resource optimization, and controlled restarts.
Develop and maintain self-healing systems to reduce manual intervention and enhance system reliability.
Build anomaly detection models to quickly identify and address unusual operational patterns.
Collaborate closely with SREs, developers, and infrastructure teams to continuously enhance the operational stability and performance of the system.
Provide insights and improvements through visualizations and reports leveraging AI-driven analytics.
Create a phased roadmap to incrementally enhance operational capabilities and align with strategic business goals.

Required Skills and Qualifications:
Strong experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, scikit-learn).
Proficiency in data processing and analytics tools (e.g., Splunk, Prometheus, Grafana, ELK stack).
Solid background in scripting and automation (Python, Bash, Ansible, etc.).
Experience with cloud environments and infrastructure automation.
Proven track record in implementing proactive monitoring, anomaly detection, and self-healing techniques.
Excellent analytical, problem-solving, and strategic planning skills.
Strong communication skills and the ability to effectively collaborate across teams.
Preferred Experience:
Background in DevOps/Site Reliability Engineering.
Familiarity with containerization and orchestration platforms (Kubernetes, Docker).
Experience in building scalable, distributed systems.

What We Offer:

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