345 Tensorflow 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

Role Purpose / Summary: **

As a Senior AI/ML Engineer, you will be at the core of the Brio AI Factory, responsible for the hands-on development, training, and deployment of advanced artificial intelligence and machine learning models. You will implement the technical vision set by the Solutions Architect, building the high-performance AI components that power large-scale use cases and drive innovation.

Key Responsibilities: **

• Develop, train, and fine-tune advanced AI/ML models, including LLMs, VLLMs, and SLMs, for

specific project requirements.

• Implement complex retrieval-augmented generation (RAG) systems, leveraging both knowledge

bases and graph data structures.

• Design and implement sophisticated prompts and agentic AI workflows to create intelligent,

autonomous systems.

• Write clean, production-grade Python code for model development, data processing, and API

creation.

• Collaborate closely with Data Engineers to build and optimize data pipelines for model training

and inference.

• Work with DevOps Engineers to containerize (Docker), deploy (Kubernetes), and monitor models

within a CI/CD and MLOps framework.

• Participate actively in an agile team, contributing to sprint planning, daily scrums, and code

reviews to ensure timely delivery of high-quality AI features.

Required Technical Skills: **

• Expertise in Visual Large Language Models (VLLMs), Large Language Models (LLMs), and Small

Language Models (SLMs).

• Deep understanding and practical experience with Knowledge RAG and Graph RAG patterns.

• Advanced skills in Prompt Engineering, Model Fine-tuning, and Model Distillation.

• Proficiency with Vector Databases (e.g., Pinecone, Milvus) and Graph Databases (e.g., Neo4j).

• Experience in designing and building Agentic AI Models and multi-agent systems.

Preferred Skills / Tools / Frameworks: **

• Proficiency with core Python data science libraries (e.g., Pandas, NumPy, Scikit-learn).

• Experience with deep learning frameworks such as PyTorch or TensorFlow.

• Familiarity with AI/ML platforms and tools on Azure (Azure Machine Learning, Azure OpenAI).

• Experience with MLOps tools like MLflow for model tracking and lifecycle management.

Experience Level: **

• 7 to 9 years in a hands-on software engineering or data science role, with a primary focus on

building and deploying AI/ML models.

Education: **

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. A

Master's degree is preferred.

We at ValueLabs have urgent requirement for AI Engineer Role. Please find the below job description for the same.

Experience: 5+ Yrs

Location: Hyderabad

Job Description :

• Mandatory Experience into Deep Learning Algorithms, LLM, NLP, Python, experience in Gen AI
• Work on integrating the cloud GenAI algorithms like ChatGPT, Bedrock, Bard, PaLM etc.
• Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
• Experience data acquisition, data mining, data transformation, cleaning structured/unstructured data, modelling, or machine learning, including at least 2 year in Generative AI.
• Experience in Prompt engineering with LLM Development using Langchain. Semantic Kernel, Open Source/ API based LLMs or similar.
• At least delivered 2 GEN AI based solutions in the past with Open AI, Claude , other LLM
• AWS Lambda service experience exposing services for external consumptions
• Experience in Python and API development
• At least 2 year experience in Classic ML concepts and design

If interested to Explore please share your profile to

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

• Develop and manage data lakes and data warehouses using Azure Data Lake Storage Gen2 and Azure SQL/Data Warehouse.
• Build and deploy machine learning models using Azure Machine Learning, Mlflow
• Integrate AI capabilities using Azure Cognitive AI Services, Azure Open AI
• Implement real-time data streaming and analytics using Azure Stream Analytics and Event Hubs
• Azure OpenAI in Foundry Models
• Azure AI Document Intelligence
• Understanding of LLM pipelines, including data preprocessing for GenAI models Experience deploying data pipelines for AI/ML workloads(*), ensuring scalability and efficiency

Company Description

As a burgeoning tech hub, Hyderabad is the canvas where tradition meets innovation. At Piazza Consulting Group, we champion this fusion, driving the future of business consultancy. We're inviting you – the game-changers and tech enthusiasts – to be a part of our dynamic Innovation Hub in Hyderabad. If you're fueled by the challenges of intricate business problems and are keenly interested in Machine Learning technologies, we're looking for you.

Role Description

This is a full-time hybrid role for an AI Engineer at Piazza Consulting Group in Hyderabad. The AI Engineer will design, develop, and deploy advanced AI solutions, focusing on Large Language Models and natural language processing. Responsibilities include building and fine-tuning LLMs, integrating AI-driven solutions with business applications, and collaborating with cross-functional teams to deliver scalable software. The role also involves staying ahead of AI advancements, optimizing model performance, and ensuring robust testing and debugging.

Qualifications

• Expertise in Large Language Models (LLMs) and transformer architectures
• Proficiency in Natural Language Processing (NLP) techniques
• Strong foundation in Computer Science and Software Development
• Experience with programming languages like Python, Java, or C++
• Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
• Knowledge of model fine-tuning, prompt engineering, and embeddings
• Exceptional problem-solving and analytical skills
• Strong communication and teamwork capabilities
• Master’s or PhD in Computer Science, AI, Data Science, or a related field

Preferred Qualifications

• Experience deploying LLMs and AI models in production environments
• 7+ years of experience in Software Engineering or AI development
• Expertise with cloud platforms (AWS, Azure, GCP) for AI workloads
• Familiarity with MLOps practices for model lifecycle management
• Proven ability to collaborate in multidisciplinary teams with excellent communication skills

Industry

• Product, Business Consulting and AI-Driven Services

Evergreen is the professional services division of Insight Global. At our core, we are innovative problem solvers who add value through talent and technology. We hire for long-term growth and fulfillment while fostering a people-first culture that supports one another and strives to Be the Light to the world around us. With access to talent in 50+ countries and delivery capabilities globally, we deliver world-class technical and talent services to Fortune 500 clients to power innovation and transformation.

We hire for people who embody our Shared Values: Everyone Matters, We Take Care of Each Other, Leadership is Here to Serve, High Character and Hard Work Above All Else, Always Know Where You Stand, Unity in Diversity, and Hustle & Grit.

These values are the fabric of our company. This is who we are, this is what we live by, and this is what shapes everything we do.

Sr Generative AI Engineer

• Primary Focus : Creating models that generate new content (text, images, audio, etc.).
• Key Technologies :
• GANs (Generative Adversarial Networks)
• VAEs (Variational Autoencoders)
• Transformer-based models (e.g., GPT, DALL·E)
• Typical Applications :
• AI-generated art or music
• Text generation (chatbots, summarization)
• Synthetic data creation
• Image-to-image translation

Sr AI Agent Engineer

• We are looking for a Senior AI Agent Engineer to design and implement multi-agent systems and orchestration workflows. You will work on building agentic architectures that integrate LLMs, tools, and APIs to automate complex enterprise processes.
• Build multi-agent workflows using frameworks like LangGraph, AutoGen, or Semantic Kernel.
• Integrate external tools, APIs, and ML services into agent workflows.
• Implement guardrails, safety checks, and human-in-the-loop mechanisms.
• Develop monitoring and observability for agent performance and reliability.
• Optimize orchestration for cost, latency, and scalability.
• Bachelor’s in Computer Science or related field; or equivalent experience.
• 5+ years in backend or distributed systems development; 1+ year in agent-based AI.
• Strong Python programming skills and experience with orchestration frameworks.
• ·Familiarity with Azure AI Foundry, LLM integration patterns, Google Vertex AI, and AWS Sagemaker

Sr Computer Vision Engineer

We are looking for a Senior Computer Vision Engineer to develop and deploy vision-based AI solutions, including OCR, object detection, and video analytics. You will work on integrating CV models into enterprise workflows and optimizing them for performance and scalability.

•Build and deploy CV models using PyTorch and frameworks like YOLO or Detectron2.

•Implement OCR and document understanding pipelines for structured data extraction.

•Optimize inference performance using ONNX, TensorRT, and GPU acceleration.

•Integrate CV outputs with LLM and agent workflows for multimodal solutions.

•Ensure compliance with privacy and security standards for image data.

•Bachelor’s in Computer Science, AI, or related field; or equivalent experience.

•5+ years in computer vision development and deployment.

•Strong Python skills and experience with PyTorch and CV frameworks.

• Hands-on experience with Azure ML, Google Vertex AIß and GPU-based inference optimization.

Immediate Joiner For AI Engineer @ Hyderabad

No Fresher Only 6+ yrs exp :

AI Engineer

Technical Skills

• Programming: Python, R, Java,
• ML Frameworks: TensorFlow, PyTorch, Keras
• Data Management: SQL, NoSQL
• NLP & Computer Vision expertise
• Cloud Computing: Azure

Core responsibilities

Data Collection & Preprocessing

• Gather relevant datasets from various sources.
• Clean, normalize, and prepare data for modeling

Model Development

• Select appropriate algorithms (e.g., supervised, unsupervised, reinforcement learning).
• Build and train models using frameworks like TensorFlow, PyTorch, or scikit-learn

Model Evaluation & Validation

• Use metrics like accuracy, precision, recall, and F1 score.
• Apply cross-validation and A/B testing to ensure robustness

Deployment & Integration

• Deploy models using cloud platforms ( Azure).
• Integrate AI into existing systems using APIs and containerization tools like Docker

Interested candidate kindly share your resume on below mail id:

AI/ML Engineer – Pharma & Legal Document Intelligence

Experience : 3 years to 5 years

Location: Rajkot (Gujarat) / Hyderabad

Hiring Type : Contract-to-Hire (Initial contract for 6 Months)

About the Role

We at Websmith Solutions are hiring an AI/ML Engineer to design and deploy advanced pharma & legal document intelligence systems. You will leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform patents, molecule structures, regulatory filings, and legal documents into structured, queryable knowledge. The role combines document AI, data engineering, model training, and production deployment.

Key Responsibilities

• Build AI pipelines to parse, summarize, and classify pharma/legal PDFs (patents, molecule structures, court filings).

• Work with SMEs to extract key insights and build chatbots for interactive Q&A.

• Clean and integrate Excel/raw datasets into a central master database.

• Automate ingestion of fresh data from FDA portals, government, and legal websites.

• Customize and fine-tune LLMs on domain-specific data, ensuring high accuracy.

• Deploy and monitor models in production with scalability, reliability, and compliance in mind.

Required Technical Expertise

• Programming & ML Frameworks: Advanced Python, PyTorch/TensorFlow, HuggingFace Transformers, LangChain / LlamaIndex.

• Document Parsing & OCR: PyMuPDF, pdfminer.six, Apache Tika, Tesseract.

• NLP & RAG: embeddings (OpenAI, HuggingFace), vector DBs (FAISS, Pinecone, Weaviate, Milvus), chunking strategies.

• Data Engineering: ETL pipelines, SQL + NoSQL (Postgres, MongoDB), Excel/CSV cleaning & schema design.

• Model Training: fine-tuning transformers, LoRA/PEFT for efficient domain adaptation, dataset annotation/validation.

Nice-to-Have

• Deployment & MLOps: FastAPI/Flask for serving, Docker/Kubernetes for scaling, AWS SageMaker / GCP Vertex AI / Azure ML, MLflow or Kubeflow for monitoring.

• Compliance & Security: secure APIs, encryption, pharma/legal data privacy standards.

• Familiarity with chemical/molecule data formats (SMILES, InChI, RDKit).

• Background in pharma, biotech, or legal domains.

• Prior experience with sensitive, regulated datasets.

Why Join?

• Work on cutting-edge LLM + RAG projects applied to real-world pharma & legal problems.

• Opportunity to own the end-to-end lifecycle: ingestion → training → deployment → monitoring.

• Collaborate with experts across AI, pharma, and legal domains.