1825 AI Specialists jobs in Hyderabad

VAIML Solution, Heera’s project has the following job description:

• The team attempts to run a new unsupported model on VAIML.

• In many cases, it does not execute successfully due to a lack of support for some operators or other technical reasons.

• The team performs debugging to identify the issues.

• The team documents the requirements in Jira for the VAIML development team to implement the missing operators or make other technical adjustments to enable the model to run.

• Required skill set is Python, Linux, knowledge of AI/ ML

Ryzen AI Support, Uday's project involves:

• Implementing Ryzen AI in various vendor laptops (Asus, Lenovo…) for end users to run standard and proprietary AI models.

• Testing and documenting how to run models on Ryzen AI systems for end users.

• Resolving tickets submitted by users facing issues with running models on Ryzen AI.

• Work with end users to understand and fix problems.

• Update documentation if it contains errors.

• Collaborate with the dev team to fix product bugs.

• Required skill set is Python, Linux, Windows, knowledge of AI/ ML

VAIML Solution, Heera’s project has the following job description:

• The team attempts to run a new unsupported model on VAIML.

• In many cases, it does not execute successfully due to a lack of support for some operators or other technical reasons.

• The team performs debugging to identify the issues.

• The team documents the requirements in Jira for the VAIML development team to implement the missing operators or make other technical adjustments to enable the model to run.

• Required skill set is Python, Linux, knowledge of AI/ ML

Ryzen AI Support, Uday's project involves:

• Implementing Ryzen AI in various vendor laptops (Asus, Lenovo…) for end users to run standard and proprietary AI models.

• Testing and documenting how to run models on Ryzen AI systems for end users.

• Resolving tickets submitted by users facing issues with running models on Ryzen AI.

• Work with end users to understand and fix problems.

• Update documentation if it contains errors.

• Collaborate with the dev team to fix product bugs.

• Required skill set is Python, Linux, Windows, knowledge of AI/ ML

VAIML Solution, Heera’s project has the following job description:

- The team attempts to run a new unsupported model on VAIML.

- In many cases, it does not execute successfully due to a lack of support for some operators or other technical reasons.

- The team performs debugging to identify the issues.

- The team documents the requirements in Jira for the VAIML development team to implement the missing operators or make other technical adjustments to enable the model to run.

- Required skill set is Python, Linux, knowledge of AI/ ML

Ryzen AI Support, Uday's project involves:

- Implementing Ryzen AI in various vendor laptops (Asus, Lenovo…) for end users to run standard and proprietary AI models.

- Testing and documenting how to run models on Ryzen AI systems for end users.

- Resolving tickets submitted by users facing issues with running models on Ryzen AI.

- Work with end users to understand and fix problems.

- Update documentation if it contains errors.

- Collaborate with the dev team to fix product bugs.

- Required skill set is Python, Linux, Windows, knowledge of AI/ ML

ANSR is hiring for one of its clients.

About American Airlines:

To Care for People on Life's Journey®. Together with our American Eagle regional partners, we offer thousands of flights daily to more than 350 destinations in more than 60 countries.

American Airlines is transforming the way it delivers technology to its customers and team members worldwide.

American’s Tech Hub in Hyderabad, India, is our latest technology office location and home to team members who drive technical innovation and engineer unrivalled digital products to best serve American’s customers and team members. With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, our new team in Hyderabad, India enables better support of our 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience.

Job Description:

INTRO:

Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you’ll travel the world, grow your expertise, and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard!

Why you will love this job:

• As one diverse, high-performing team dedicated to technical excellence, you will focus relentlessly on delivering unrivaled digital products that drive a more reliable and profitable airline.
• The Machine Learning domain encompasses the application of algorithms and models to enable computers to learn from and make predictions or decisions based on data. This domain is generally a subset of the AI or Data Domain.
• Scope includes various subfields, including segmentation, propensity modeling, natural language processing (NLP), reinforcement learning, and working with foundation models for generative AI.

This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.

• Collaborate with leaders, business analysts, project managers ,IT architects, technical leads and other engineers, along with internal customers, to understand requirements and develop needs according to business requirements for AI solutions
• Maintain and enhance existing enterprise services, applications, and platforms using domain driven design and test-driven development
• Troubleshoot and debug complex issues;
  identify and implement solutions
• Create detailed project specifications, requirements, and estimates
• Research and implement new AI technologies to enhance current processes, security, and performance
• Work closely with data scientists and product teams to build and deploy AI solutions, focusing on the technical aspects of AI deployment & associated resources
• Implement and optimize Python-based ML pipelines for data preprocessing, model training, and deployment.
• Monitor model performance and implement strategies for bias mitigation and explainability. Responsible for ensuring models are scalable and efficient in production environments.
• Write and maintain code for model training and deployment, collaborating with software engineers to integrate models into applications.
• Partner with a diverse team of experts, leveraging cutting-edge technologies to build scalable and impactful AI solutions.

All you will need for success:

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS / MIS), Engineering or related technical discipline, or equivalent experience / training
• 3+ years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications in hosted production environments
• 3+ years of professional, design, and open-source experience

Preferred Qualifications:

• Master's degree in Computer Science, Computer Engineering, Data Science, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• 5 years of full AI Software Development Life Cycle (SDLC) experience designing, developing, and implementing large-scale machine learning applications
• Airline Industry experience

Skills, Licenses, and Certifications:

Proficiency and demonstrated experience in the following technologies:

• Python
• Databricks
• Azure AI Foundry services, including Azure ML Studio, AI search, Semantic Kernels, Semantic Cache, Content safety filters etc
• Database and persistence frameworks: Hibernate, Oracle, Object / Relational Mapping, Query performance tuning
• Cloud-based development: Microsoft Azure, AWS
• Web Servers: Tomcat, tcServer, Websphere
• Web Services: REST / SOAP (JSON / WSDL / XML)
• AI/ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face
• MLOps Tools such as MLflow, Kubeflow, Airflow, Docker, Kubernetes
• Build/deployment tools: Maven, Gradel, Git, Junit, Mockito
• Other DevOps Toolchain: Nexus Repository, SonarQube, Slack, GitHub, Jenkins, Elastic Search, Logback, Log4j, ADO Pipelines
• Proficiency in object-oriented design techniques and principles
• Experience developing and implementing governance frameworks and controls for responsible AI, knowledge of various AI regulations
• Proficiency in post-deployment model maintenance, including observability, monitoring, and drift detection
• Strong understanding of GEN AI & NLP concepts, including LLMs, tokenization, embeddings, transformers, and attention mechanisms
• Knowledge of VectorDatabases (e.G., Pinecone, FAISS, Weaviate) and retrieval-augmented generation (RAG) strategies
• Familiarity with data pipelines, ETL, and distributed computing frameworks
• Experience developing and implementing generative-based AI solutions using Large-Language Models (LLMs) (e.G., Open AI GPT, Google Gemini, Llama)
• Expertise in Prompt Engineering, including designing and optimizing prompts for foundation models
• Proficiency in Microsoft Office Tools (Project, Excel, Word, PowerPoint, etc.)
• Experience in Agile methodologies, such as SCRUM
• Experience in DevOps Toolchain methodologies, including Continuous Integration and Continuous Deployment

Language / Communication skills:

• Ability to effectively communicate both verbally and written with all levels within the organization
• Physical ability necessary to safely and successfully perform the essential functions of the position, with or without any legally required reasonable accommodations that do not pose an undue hardship.

Note: If the Company has reason to question an employee’s physical ability to safely and/or successfully perform the position’s essential job functions, the HR team generally will engage in an interactive process to determine whether a reasonable accommodation is appropriate. HR (working with the operation) ordinarily first speaks with the team member directly and they mutually identify the physical demands of the job that are or may be impacted by the employee’s obvious or known condition. Then, if necessary, HR would request medical documentation from the team member’s treating physician or others to confirm the employee’s ability to perform those essential job functions safely and successfully.

Feel free to be yourself at American:

Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life’s journey? Feel free to be yourself in America

• Generative AI & Tool Expertise, including MCP usage and Agentic Orchestration
• Expert-level knowledge of GitHub Copilot and Amazon Q features, including Copilot Chat agents and Amazon Q’s /dev command.
• Advanced prompt engineering skills for both platforms.
• Understanding of Copilot Enterprise and Amazon Q for Business, including RAG and internal codebase reasoning.
• Intermediate understanding of LLM fundamentals, AI ethics, and security practices.
• Strong problem-solving mindset and diagnostic skills.
• Passion for generative AI and developer enablement.

Dear candidate,

We have an open position for AI Engineer/Senior AI Engineer role with us and work location would be Hyderabad/Pune/Coimbatore.

Kindly go through the below JD and if you are interested for the opportunity please fill in the below forms link

Role Summary

As an AI Engineer, you will be responsible for building full-stack generative and agentic AI solutions—spanning from prompt logic and orchestration to APIs, UIs, and infrastructure integration. You will work in a cross-functional delivery pod to implement scalable, reusable components and rapidly transition PoCs into production-ready systems.

This role requires hands-on fluency across GenAI tools, LLM frameworks, and integration patterns, with the ability to balance experimentation with disciplined engineering practices.

Know your team (“Legacy Rewired, Engineering the Future”)

At ValueMomentum’s Engineering Centre, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&C insurance value chain. We achieve this through a strong engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.

Qualifications

· 3–6 years of hands-on software engineering experience

· Experience with Python, LLM frameworks (LangChain, LlamaIndex, etc.), APIs, and containerized apps

· Understanding of GenAI patterns: RAG, agentic loops, embeddings, streaming, context injection

· Familiarity with observability (logging, prompt tracing, metrics), eval scaffolding, and CI/CD

· Bonus: UI integration (React, Next.Js), insurance-specific workflow experience (claims, policy, underwriting)

Tech Lead – AI & Scalable Solutions

Hyderabad | 7–9 Years | Join in 2 Weeks

About the Role

We’re looking for a Tech Lead who loves solving real problems, enjoys working with customers, and knows how to build things that last. If you’re someone who can roll up your sleeves, design smart systems, and at the same time guide a team to deliver, this role is for you.

You’ll be working on building AI and ML-driven scalable solutions and directly engaging with customers to make sure what we deliver actually works for them. Think of it as a mix of hands-on coding, big-picture architecture, and customer success.

What You’ll Do

• Design and develop scalable solutions using Python and modern AI/ML frameworks.
• Work directly with customers—understanding their needs and making sure we deliver real outcomes.
• Lead projects end-to-end: planning, execution, deployment, and support.
• Mentor and support engineers so they grow along with the team.
• Bring a startup mindset : move fast, stay flexible, and take ownership.

What We’re Looking For

• 7–9 years of experience in building and delivering software solutions.
• Strong skills in Python, system design, and scalable architectures .
• Hands-on experience with AI/ML frameworks like PyTorch, TensorFlow, or Hugging Face.
• Someone who has worked in customer-facing or consulting roles and can explain tech in simple words.
• Experience with cloud platforms (AWS, Azure, GCP).
• A problem-solver with a startup approach —adaptable, curious, and outcome-driven.

Why Join Us?

• You’ll own what you build and see it create real impact for customers.
• A role where you get to code, design, and consult —not just one of them.
• Work in a close-knit team where your ideas matter.
• The chance to grow fast with a company that’s building cutting-edge AI solutions.

If you’re a Tech Lead who enjoys building, solving, and leading—and can join us in Hyderabad within 2 weeks, we’d love to meet you.