268 Tensorflow jobs in Hyderabad
AI or ML Engineer - Python, Scikit Learn, TensorFlow or PyTorch
Posted today
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Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
We are seeking a highly skilled and experienced AI/ML Engineer to join our team. As a AI/ML Engineer, you will play a critical role in developing and implementing AI/ML solutions. You will be responsible for utilizing your expertise in Python, SQL, and various frameworks like Scikit Learn, TensorFlow, and PyTorch to deliver production-grade AI/ML projects. The ideal candidate will have 2 to 4 years of experience in Data Science, AI/ML, and a solid understanding of mathematical and statistical concepts. Experience in the US Healthcare domain and knowledge of Big Data and data streaming technologies are desirable.
Primary Responsibilities:
Required Qualifications:
Preferred Qualifications:
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.
Artificial Intelligence Engineer
Posted 5 days ago
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At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers-and our customers' customers-to make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
**What you will do:**
In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product.
**Job Responsibilities:**
+ Contribute to the design and development of software components that enable **autonomous AI agents** to reason, plan, act, and learn.
+ Implement features that support agentic capabilities such as **tool use, memory, long-term planning, task execution** , and self-reflection.
+ Integrate with state-of-the-art LLMs (e.g., OpenAI, Anthropic) and **agent orchestration frameworks** (e.g., LangChain, CrewAI, AutoGen).
+ Write, test, and debug Python or other backend code that powers **agent workflows** in cloud-native environments.
+ Assist in building interfaces between agents and tools such as APIs, databases, search engines, and user-facing applications.
+ Participate in Agile development workflows - sprint planning, code reviews, retrospectives - and collaborate across AI, product, and engineering teams.
+ Work with structured and unstructured data to support **context-aware reasoning and decision-making** in agents.
+ Contribute to the development of internal testing tools and evaluation methods for autonomous agent behaviors.
+ Support the deployment of agent systems in scalable environments using Kubernetes, Docker, and cloud services (AWS, Azure, or GCP).
+ Maintain documentation of agent capabilities, system design, and integration strategies.
**What makes you a qualified candidate:**
+ 1-3 years of experience (or strong academic/internship background) in software development with a focus on AI/ML, intelligent systems, or cloud-native applications.
+ Strong interest in **Agentic AI** - systems where AI agents can autonomously interpret goals, take actions, and learn from outcomes.
+ Familiarity with one or more programming languages: **Python** (preferred), Go, Java, or C++.
+ Exposure to LLMs and AI APIs (e.g., OpenAI, Hugging Face, Claude) and understanding of **prompting, embeddings, or vector databases** .
+ Basic understanding of how AI agents use tools and memory to solve complex tasks.
+ Experience with RESTful APIs, backend service design, and microservice architectures.
+ Familiarity with modern cloud infrastructure (AWS, GCP, or Azure), especially in deploying containerized applications.
+ Ability to write clean, testable code and follow best practices in code reviews and version control.
+ Clear communicator, with a willingness to ask questions, propose ideas, and collaborate across teams.
+ Passion for learning emerging AI techniques and contributing to real-world agentic applications.
**What you will bring:**
+ BS degree in Computer Science, Artificial Intelligence, Software Engineering, or related technical field.
+ Strong problem-solving skills and a solid foundation in data structures, algorithms, and object-oriented programming.
+ Experience with cloud tools and platforms (AWS, GCP, Azure), especially Kubernetes and Docker.
+ Exposure to agentic frameworks such as LangChain, AutoGen, CrewAI, or similar tools.
+ Curiosity and excitement about **building intelligent systems that act autonomously and adaptively** .
+ A mindset geared toward experimentation, continuous learning, and pushing the boundaries of AI capabilities.
**Why we think you will love Teradata:**
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
#LI-NT1
Why We Think You'll Love Teradata
We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
Artificial Intelligence Lead
Posted today
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Experience- 6 to 8 Years
Job Location - Hyderabad, Indore, Ahmedabad - Work from Office
Max Joining Time - 2 Months
Must have 2 years of Lead Experience
Bachelor’s or master's degree in computer science, Engineering, Data Science,
Mathematics, Statistics or related fields.
• At least 5 years of professional experience in AI/Machine Learning engineering.
• Strong programming skills in Python and Java.
• Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-
based chatbots or similar generative AI applications.
• Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda,
SageMaker, DynamoDB, CloudWatch, and API Gateway.
• Solid understanding of AI methodologies, including natural language processing (NLP),
vector databases, embedding models, and large language model integrations.
• Experience with leading projects or teams, managing technical deliverables, and ensuring
high-quality outcomes.
Preferred Qualifications:
• AWS certifications (e.g., AWS Solutions Architect, AWS Ma
Artificial Intelligence Engineer
Posted 1 day ago
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Title: AI Engineer
· Level: Mid-Level
· Responsibilities:
o Design, develop, and implement AI/ML models and algorithms.
o Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions.
o Write clean, efficient, and well-documented code.
o Collaborate with data engineers to ensure data quality and availability for model training and evaluation.
o Work closely with senior team members to understand project requirements and contribute to technical solutions.
o Troubleshoot and debug AI/ML models and applications.
o Stay up-to-date with the latest advancements in AI/ML.
o Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models.
o Develop and deploy AI solutions on Google Cloud Platform (GCP).
o Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy.
o Utilize Vertex AI for model training, deployment, and management.
o Integrate and leverage Google Gemini for specific AI functionalities.
· Qualifications:
o Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
o 3+ years of experience in developing and implementing AI/ML models.
o Strong programming skills in Python.
o Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
o Good understanding of machine learning concepts and techniques.
o Ability to work independently and as part of a team.
o Strong problem-solving skills.
o Good communication skills.
o Experience with Google Cloud Platform (GCP) is preferred.
o Familiarity with Vertex AI is a plus.
Artificial Intelligence Specialist
Posted 1 day ago
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Gen AI - Artificial Intelligence Specialist
Work Location: Hyderabad - Work from Office(Must)
Willing to Join - ASAP
Responsibilities -
- Drive customer conversations for Gen AI opportunities
- Understand customer specific requirements and create customer acceptable Gen AI solution architectures
- Create customer proposals and RFP responses
- Guide solution engineers in creating Gen AI POC and solutions for industry verticals
- Show initiative and drive topics to resolution in an elevated level of quality, speed, reliability, and efficiency
- Staying abreast of the latest developments in technology and industry, best practices and finding where they can be incorporated
- Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, proving the potential of Generative AI applications
Qualifications -
- Experience in software development: 8+ years
- Experience in Generative AI solution development: 3 years
- Bachelor’s degree or above in Computer Science, Software Engineering or similar disciplines
- Experience in two industry domains and ability to learn new domains quickly
- Adept at critical thinking and logical reasoning for problem-solving
- Be good at teamwork and delivering under pressure
- Generative AI oriented
- Experience with at least one cloud technology: Azure, AWS, GCP
- Good understanding of NVIDIA or other similar technologies
- Understanding of sound design principles and patterns
- Solid appreciation of AI/ML concepts
Required Skills -
- Extremely dynamic and enthusiastic about technology
- Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js
- Be able to adapt quickly to new challenges and an evolving technology stack
- Excellent written and verbal communication skills. Fluent English is essential
- Strong analytical and critical thinking skills
- Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal)
- Initiative-taking, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly
- Firsthand of Python, ML Algorithms and Statistics
- Knowledge of source code maintenance and versioning tools
- Strong in Object Oriented Programming Concepts
- Good in debugging and analytical skills
Preferred Skills -
- 5+ years of experience in ML development and MLOps
- Strong programming skills, with ability in languages like Python, with a good knowledge of ML, Data and API libraries
- Expertise in creating end-to-end data pipelines (sourcing, exploration, automation, etc.)
- Experience with ML models and their development
- Should know ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable Aí
- Understanding of some of the popular ML frameworks such as SparkML, TensorFlow, scikit-learn, XGBoost, H2O, etc.
- Experience working in a cloud environment (AWS, Azure, GCP) or a containerised environment (Mesos, Kubernetes)
- Interest in understanding functional and industry business challenges
- Desirable to know about IT Industry and potential GenAI use case in insurance processes
- Ideally, you’ll also have Expertise in Big Data, Data Modelling
Artificial Intelligence Engineer
Posted 1 day ago
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Job Description
We are seeking an experienced Senior AI Engineer to join our dynamic team, driving innovation in AI-driven solutions with a global impact. This role is specifically tailored for a highly motivated professional with a strong technical background in Python and Java, hands-on expertise in developing Retrieval-Augmented Generation (RAG)-based chatbots, Machine Learning, Deep Learning, and solid cloud deployment experience, preferably on AWS. .
Artificial Intelligence Engineer
Posted 1 day ago
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Job Description
About the Company
We are looking for a highly skilled and innovative AI Engineer to join our team in Hyderabad. This role focuses on designing and building agentic AI systems using Large Language Models (LLMs) and advanced reasoning frameworks. The ideal candidate will have a strong background in Python, Prompt Engineering, and RAG (Retrieval-Augmented Generation) architectures, with the ability to apply these technologies in real-world banking use cases.
About the Role
This role focuses on designing and building agentic AI systems using Large Language Models (LLMs) and advanced reasoning frameworks.
Responsibilities
- Design, build, and deploy intelligent AI systems that can reason, plan, and act autonomously.
- Implement RAG pipelines leveraging vector databases (e.g., FAISS, Chroma, Pinecone) for knowledge retrieval.
- Develop prompts, few-shot examples, and context-aware workflows to improve LLM performance.
- Use agentic AI frameworks like LangChain, LangGraph, or AutoGen to orchestrate multi-step interactions.
- Build scalable pipelines for document processing, OCR, and computer vision-based analysis.
- Integrate AI solutions with banking workflows (e.g., KYC, fraud detection, claims processing).
- Collaborate with cross-functional teams to understand business needs and deliver robust AI-powered solutions.
- Ensure secure, scalable deployment of solutions on Azure Cloud using best DevOps practices.
Qualifications
- 8+ Years (6+ Years Relevant in AI/ML)
- Domain: Banking
- Job Type: Full-time
- Work Location: Based on Panelists + Account POCs availability
Required Skills
- Python Programming (advanced proficiency)
- LLMs (OpenAI, Claude, Mistral, etc.)
- Prompt Engineering (few-shot, CoT, tool use)
- Vector Databases (FAISS, Pinecone, Chroma, etc.)
- RAG Architecture implementation
- Agentic AI Libraries: LangChain, LangGraph, or AutoGen
- Document Processing & OCR (e.g., Tesseract, Azure Form Recognizer)
- Computer Vision (OpenCV, LayoutLM, Vision Transformers)
Preferred Skills
- Cloud Platforms: Azure, Azure OpenAI, Azure Functions
- API Development: FastAPI, RESTful services
- Containerization: Docker
- Monitoring Tools: Prometheus, ELK Stack
- Experience in the Banking/Financial Services domain
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Artificial Intelligence Engineer
Posted 1 day ago
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Job Type: Full time
Role: AI/ML Engineer
Location: Hyderabad
Experience: 3+ years
Capabilities to design and develop as per the requirements
▪ Capabilities in tools to perform data preparation (Open CV, Kibana), Classification (Voxel51, Sklearn), Annotation (V7, Scripts), Power BI
▪ Capabilities to provide resources onshore/offshore modeland bench in case of additional needs
Item
Services Task – Name and Description
B1
Data Categorization –
• Analyse video data from all pilot installations to create an organized database categorized by environmental conditions including seasonal variations (summer, winter, fall, spring), lighting conditions (bright daylight, dim light, nighttime), and weather impacts (rain, snow, sunny).
• Document specific passenger interaction scenarios that pose challenges to the system, such as multiple passengers entering/exiting simultaneously, passengers carrying large objects, and cases that have triggered door operation issues or road calls.
• Create a statistical report analysing the frequency and patterns of different operational scenarios, identifying common patterns and potential system improvement areas
B2
Data Annotation –
• Perform precise annotations using the V7 tool to mark passenger positions and movements. This includes creating bounding boxes or segmentation masks around passengers, carried objects, and door areas according to provided guidelines.
• Conduct thorough quality assurance reviews of annotations completed by team members to ensure consistency and accuracy across the dataset.
• Maintain comprehensive log documenting edge cases, unusual scenarios, and situations where standard annotation guidelines may need clarification or modification.
B3
Comprehensive Testing -
• Execute systematic testing of the current model using new video datasets collected from all pilot installations. Testing should cover various operational conditions and scenarios.
• Generate detailed daily performance reports including:
• Quantitative metrics: detection accuracy, precision, recall, and F1-scores
• Analysis of false positives and negatives for each specific scenario type
• System response time measurements for door operation decisions
• Performance variation analysis across different installs
B4
Issue Analysis –
• Create detailed documentation of all detection failures and performance issues, including:
• Specific instances of missed passenger detections with timestamps and conditions
• Cases of incorrect door timing decisions and their potential causes
• Scenarios where system response time exceeded acceptable thresholds
• Analyze and document environmental and operational factors affecting model performance, creating a comprehensive issue categorization system
- • Develop detailed recommendations for model improvements based on observed failure patterns