Job Details
Location:
Jawaharlal Nehru Technological University, Hyderabad, Nizampet - JNTU Road Mumbai Highway, Vasantha Nagar, Ward 114 KPHB Colony, Hyderabad, Kukatpally mandal, Medchal–Malkajgiri, Telangana, 500085, India
Posted:
Apr 28, 2025
Job Description
Job Description:
Job Description:
- Should have Production Operations experience (specially handling production environment) 3-8 years.
- Experience on Ticketing tools like JIRA/ServiceNow/AOTS etc. is a must.
- Effective communication skills; verbal, non-verbal and written.
- Provide technical support to users of generative AI systems.
- Assist with user training and onboarding for new AI tools and features
- Experience with monitoring tools and platforms (e.g. Grafana).
- Deploy AI models on Azure cloud infrastructure.
- Strong knowledge of Azure cloud, Open AI and Python.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
- Strong communication and collaboration abilities.
- Ability to work in a fast-paced, dynamic environment.
- Good understanding and exposure to Agile framework.
Roles and Responsibilities:
- Should be responsible to provide technical support, administrative support and troubleshoot the issues for the day-to-day operations. Should be able to resolve the technical issues to meet the SLA's.
- Should also be responsible for monitoring the systems, providing technical assistance, managing incidents, and ensuring efficient workflows.
- Providing 24×7 operational support to all production practices on holidays and weekends.
- Coordinating with various teams and raise support ticket for all issues, analyze root cause and assist in efficient resolution of all production tickets.
- Maintaining logs of all issues and ensure resolutions according to quality assurance tests for all production processes.
- Acting as the point of contact for the data warehouse production eco system
- Candidate should enhance the quality by value adds, automation, optimization etc.
Key Competencies and Skills
- Azure, Azure AI, Python, Linux, Mango DB, Natural language processing (NLP) and large language models (LLMs), SQL
Education and Qualifications:
- Must have bachelor’s degree or master’s degree in science / computer applications or equivalent.
#ProductEngineering
Weekly Hours:
40
Time Type:
Regular
Location:
IND:AP:Hyderabad / Atria Building, Plot 17 - Adm: Atria Building, Plot No 17
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.