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:
6–8 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, IndiaIt 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.JobCategory:BigData
