889 Artificial Intelligence jobs in Hyderabad

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

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.

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

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. .

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

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