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ML Sr. Support Engineer IRC239803
| Job: | IRC239803 |
| Location: | India - Gurgaon |
| Designation: | Senior Analyst |
| Experience: | 5-10 years |
| Function: | Content Engineering |
| Skills: | Machine Learning, Python |
| Work Model: | On-Site/Office |
Description:
The organisation(prospect client) is a data storage and computer drive company that designs, manufactures, and sells data storage devices, cloud storage services, and data center systems. Their products are used in a wide range of devices, including cars, homes, pockets, and the cloud.
Requirements:
- Strong understanding of machine learning concepts, algorithms, and tools.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Proficiency in programming languages commonly used in ML, such as Python or R.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and their ML services.
- Experience with data pipeline tools and frameworks (e.g., Apache Spark, Kafka, Airflow).
- Knowledge of containerization technologies (e.g., Docker, Kubernetes) and their application in ML deployments.
- Familiarity with version control (e.g., Git) and continuous integration/continuous deployment (CI/CD) processes.
Job Responsibilities:
- Provide technical support for deployed machine learning models and data pipelines, ensuring their optimal performance and accuracy
- Monitor and maintain machine learning systems, addressing issues related to data ingestion, model performance, and deployment
- Collaborate with data scientists and developers to diagnose and resolve issues in machine learning workflows
- Assist in the implementation of model retraining, tuning, and updates as needed
- Perform root cause analysis for recurring issues and develop long-term solutions
- Document troubleshooting procedures, configuration settings, and best practices for machine learning operations
- Support the deployment and scaling of machine learning models in cloud and on-premise environments
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!