Job Description:

Roles and Responsibilities:

Design and implement generative AI solutions using leading machine learning and deep learning techniques (GANs, VAEs, LLMs, etc.).
Deploy and manage AI models and workflows on Azure, leveraging Azure AI services, storage, and compute resources.
Develop and maintain RESTful APIs using FastAPI to serve AI models and enable integration with web applications.
Build and orchestrate AI agent workflows using LangChain and LangGraph for multi-step reasoning and automation.
Work closely with data scientists, ML engineers, and product teams to translate business needs into reliable, production-ready AI systems.
Integrate AI models with web-based products and services; collaborate with front-end developers using JavaScript, React, or Next.js.
Follow best practices for AI model development, including data ingestion, preprocessing, model training, validation, and deployment.
Contribute to the adoption of MLOps and DevOps practices on Azure for continuous integration and deployment of AI models.
Stay current with advancements in generative AI, cloud AI services, and web frameworks, and share knowledge with the team.
Promote ethical and responsible AI usage, ensuring compliance with organizational and regulatory standards.
Contribute to technical documentation and communicate solutions effectively to both technical and non-technical audiences.
Mentor junior team members and support a collaborative and innovative team culture.

Shift Timing:

12:30 PM to 9:30 PM IST

Location:

Bangalore, Hyderabad

Overall Experience:

68 years

Primary / Mandatory Skills:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
2+ years of direct experience working with generative AI models (GANs, VAEs, LLMs, etc.).
3+ years of experience in designing and implementing AI/ML solutions on Azure (Azure ML, Azure Cognitive Services, Azure Databricks, etc.).
Hands-on experience developing RESTful APIs using FastAPI.
Experience with AI agent workflow tools such as LangChain and LangGraph.
Proficiency in Python and at least one major AI/ML framework (TensorFlow, PyTorch, etc.).
Good understanding of cloud computing concepts, security, scalability, and cost management on Azure.
Experience integrating AI models with web applications; familiarity with front-end technologies (JavaScript, React, or Next.js).
Strong analytical, problem-solving, and debugging skills.
Excellent communication, documentation, and collaboration skills.

Secondary / Desired Skills:

Familiarity with REST APIs, microservices, and serverless architectures.
Experience with containerization (Docker, Kubernetes) and CI/CD pipelines on Azure.
Exposure to data visualization libraries and UX best practices.
Contributions to open-source AI/ML projects or research is a plus.
Full-stack development experience is a bonus.

Educational Qualification:

BE, BTech, MCA, or equivalent.

Certifications (Preferred):

Azure AI/ML certifications (e.g., Microsoft Certified: Azure AI Engineer Associate), Python, AI/ML modeling, and relevant cloud or web technology certifications.

Weekly Hours:

40

Time Type:

Regular

Location:

Hyderabad, India

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.

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