153 Artificial Intelligence jobs in Jaipur
Artificial Intelligence Engineer
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AI Senior Engineer
Location: Jaipur | Experience: 3–7+ Years | Full-time
About the Role:
We’re looking for an experienced AI Engineer to build scalable, production-ready AI solutions using LLMs, vector databases, RAG pipelines, and agent-based workflows on cloud platforms. You’ll translate business needs into robust AI systems, optimize inference, and integrate modern AI tools like LangChain and LlamaIndex .
Must-Have Skills:
- Python & SQL
- Vector DBs: Pinecone, FAISS, Weaviate
- LLMs in production (OpenAI, Claude, Gemini)
- LangChain / LlamaIndex
- Cloud deployment: Azure, AWS, or GCP
- FastAPI, Flask, Django integration
Preferred: Agentic AI, MLOps, multi-modal pipelines, AI safety practices
Qualifications:
- B.Tech / M.Tech in CS, Data Science, AI/ML
- Strong analytical mindset & communication skills
If Intrested. Please submit your CV to or share it via WhatsApp at
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Artificial Intelligence Engineer
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Experience - 4 to 10 years
Desired Competencies
Must-Have**
· Expertise on NLP, LAMA Model
· Expertise AI, ML, GENAI
· Experience on identifying right model and train models.
· Machine learning (ML), Data Science, Statistical modeling.
· Python Programming.
· Develop and maintain a platform that automates creating, training, deploying and updating machine learning models.
· Build, maintain, and optimize machine learning solutions.
· experience building large-scale data pipelines.
· GEN-AI knowledge
Good-to-Have Devops Knowledge
Responsibility of / Expectations from the Role
1 Understanding the requirements.
2 designs, builds, and runs machine learning systems at scale.
3 maintaining the infrastructure that supports the models and algorithms that power the products
4 improving your model's accuracy by tweaking its parameters or updating the data it uses for training
5 Develop and maintain a platform that automates creating, training, deploying and updating machine learning models.
6 Customer Product Documentation
7 Participation in trouble report reviews and analysis
8 System Integration Testing
Artificial Intelligence Engineer
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Title: AI Engineer
Location: remote India
Industry: Pharmaceutical
Type: till end of the year, strong possibility f extension of going well
Description:
AI engineer who can design, configure, and optimize the way we work with MS Azure AI services (like OpenAI, AI search, Speech, document intelligence, etc.) and more specifically RAG applications and agents, while also implementing the backend python code to work with those services.
from the manager:.
For AI engineers, we are looking for a hands-on developer implementing AI solutions. They should be able to understand and optimize the way we use pretrained models. We rarely fine tune them, but even if we do – we don't need a data scientist for that. It's usually a straightforward procedure (using Azure foundry). They should also be able to run evaluations on the quality of those models' output (we have data scientists who can work with the AI engineer on the statistical aspects if needed).
Artificial Intelligence Intern
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About the Company
ZeTheta Algorithms Private Limited ( is a FinTech start-up which has been recently set up and is developing innovative AI tools.
About the Role
We are seeking a talented and motivated student intern to develop AI models from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning.
Responsibilities
- Design and implement the complete AI Models following provided specifications
- Develop both frontend and backend components of the platform
- Create and integrate AI modules
- Design and optimize database schema and queries
- Ensure system security, especially for sensitive identity verification data
- Deploy the solution using zero-cost cloud services
- Document code, APIs, and system architecture
- Complete the entire project within the 2 month timeline
Qualifications
No experience required. Preferably, a student who is currently pursuing or fresh graduate who has recently completed a degree in Computer Science, AI/ML, or related field.
Required Skills (permitted to use all LLMs)
- Strong programming skills in Python and JavaScript
- Understanding of React.js for frontend development and Node.js for backend
- Knowledge of FastAPI or similar Python web frameworks
- Familiarity with database design and SQL (particularly PostgreSQL with Supabase)
- Deployment on AWS with CD/ CI Pipelines and Manual Environment in EC2 instance, S3
- Understanding of basic machine learning concepts
- Self-motivated with ability to work independently
Preferred Skills (permitted to use all LLMs)
- Sound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers)
- Familiarity with computer vision techniques using OpenCV
- Knowledge of natural language processing concepts
- Sound knowledge of facial recognition or emotion detection systems
- Understanding of identity verification methodologies
- Docker containerization experience
- Prior work with cloud deployment (AWS)
Who Should Apply?
- Student or fresh graduate from any academic discipline.
- Strong analytical and problem-solving skills.
- Basic knowledge of Microsoft Office.
- Willingness to self-learn and work in a fast-paced environment.
Internship Details
- Duration: Self paced, options for 1,2,3,4 or 6 months.
- Type: Unpaid
Artificial Intelligence Engineer
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Position Overview
The Engineer, Artificial Intelligence supports the development and deployment of advanced artificial intelligence solutions. This role focuses on implementing solutions that leverage Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. The Engineer, Artificial Intelligence will work closely with data scientists, ML engineers, and product teams to translate business needs into scalable AI systems.
Essential Duties
Include, but are not limited to, the following:
- Support the execution of ML, NLP, LLM deliverables aligned with AI strategies.
- Contribute to the development of custom ML, Gen AI, NLP, LLM models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), and NLP/LLM model development.
- Collaborate closely with data scientists, machine learning engineers, and software engineers to integrate AI models into production systems.
- Stay current with emerging AI/ML technologies and recommend innovative approaches.
- Apply best practices in data privacy, security, and biases in AI systems.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant as outlined in the essential duties in lieu of Bachelor's Degree.
- Professional experience in AI/ML model development.
- Demonstrated ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
- Demonstrated ability to learn new technologies.
- Demonstrated understanding of ethical considerations in AI systems.
- Strong analytical and problem-solving skills with understanding of AI/ML techniques.
Preferred Qualifications:
- Experience deploying Gen AI solutions at scale.
- Experience fine tuning LLMs, SLMs, teacher-student frameworks and model distillation.
- Familiarity with human in the loop methods for aligning LLMs with human preferences.
- Familiarity with agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.
Artificial Intelligence Engineer
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StitchFin is an innovative startup revolutionizing the healthcare space by building cutting-edge AI solutions. We are seeking an enthusiastic AI Engineer to lead the development of cutting-edge voice AI systems and intelligent agents. In this role, you will design, develop, and deploy advanced AI models and systems that deliver exceptional user experiences through conversational interfaces.
Responsibilities
AI Development and Deployment
- Develop and maintain AI-driven, real-time speech-to-speech conversational agents
- Build low-latency, high-impact features that enhance user experiences
- Design and implement end-to-end AI pipelines
- Optimize AI systems for performance, scalability, and reliability
- Collaborate on defining and tracking success metrics for AI features
Technical Requirements
- 5+ years of hands-on software engineering experience with Python or similar languages
- Experience building and scaling distributed systems in cloud environments
- Proficiency in API design
- Proficiency with generative AI frameworks and tools
- Hands on experience with large language models, prompt engineering.
- Demonstrated ability to write clean, maintainable, and well-tested code
- Experience with CI/CD pipelines, cloud platforms like AWS and deployment automation
- Knowledge of monitoring, observability, and production debugging tools
- Familiarity with vector databases
Preferred Qualifications
- Experience in Healthcare or financial services industry.
- Experience building AI voice assistants or conversational agents
- Contributions to open-source AI projects or GitHub repositories demonstrating relevant work
- Knowledge of multimodal AI systems combining text, voice, and other inputs
What We Offer
- Opportunity to work on cutting-edge AI technology with real-world impact
- Competitive compensation and benefits package
Qualified candidates are encouraged to submit their resume along with links to relevant GitHub repositories or project examples that demonstrate experience with AI or related technologies.
Instructor- Artificial Intelligence
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About the Role
We're looking for a passionate and experienced AI Faculty Member to join our growing EdTech team. This is an exciting opportunity for professionals who enjoy teaching, mentoring, and making complex AI concepts accessible and relevant to business contexts. You'll deliver engaging live online sessions on weekends, helping adult learners and working professionals master the real-world application of Data Science and Artificial Intelligence.
What You'll Do
- Deliver engaging live online classes (via Zoom) on core AI and Data Science topics, including but not limited to:
- Data Analytics & Visualization
- Machine Learning & Deep Learning
- Generative AI & Agentic AI Systems
- Natural Language Processing (NLP)
- Computer Vision
- AI Strategy & Business Use-Cases
- AI Ethics & Responsible AI
- AI in Digital Transformation
- Data-Driven Decision Making
- Design and teach lessons that are practical, application-focused, and tailored to business relevance.
- Incorporate real-world case studies and examples to demonstrate the integration of AI into various industries and functions.
- Encourage active learning through discussions, hands-on activities, and project work.
- Mentor learners, supporting them with project guidance, assignment feedback, and doubt-clearing sessions.
- Collaborate with academic and operations teams to ensure smooth delivery and an excellent learner experience.
- Stay current with AI trends, tools, and industry applications to bring the latest insights to your teaching.
What You Bring
- 7+ years of experience in the AI, Machine Learning, or Data Science space (industry or academic).
- 2+ years of experience teaching online, preferably to adult learners or business professionals.
- Strong grasp of both technical depth and business application—you can teach concepts like neural networks and also explain how AI drives business transformation.
- Excellent communication and storytelling skills, with the ability to simplify complex topics.
- Hands-on experience with tools such as Python, Jupyter Notebooks, TensorFlow or PyTorch, Tableau/Power BI, and Git.
- Understanding of AI's strategic role in automation, decision-making, and innovation across industries.
- Genuine passion for teaching, mentoring, and creating meaningful learning experiences.
Bonus Points For
- Experience mentoring capstone or industry projects.
- Exposure to Generative AI, Agentic AI frameworks, or LLM-based systems.
- A portfolio of past workshops, content, or instructional material.
- Experience in curriculum design and learner assessments.
What We Offer
- A flexible remote opportunity to share your expertise with a community of motivated learners.
- Competitive compensation, aligned with experience and session hours.
- Opportunity to co-create and shape curriculum in a fast-evolving AI learning space.
- Be part of a forward-thinking, impact-driven EdTech ecosystem.
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Artificial Intelligence Engineer
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Google DialogFlow experience and also Python hands-on experience
Primary skills (100%) / experience
- Python
- AI integrations, LLM models (Google DialogFlow or Amazon Bedrock or OpenAI etc.)
- Cloud technologies – preferably GCP
Secondary skills (50%)/ experience
- API integration
- Javascript for Prompt engineering
- CI/CD
- Git
- NodeJS
Artificial Intelligence Engineer
Posted today
Job Viewed
Job Description
AI Senior Engineer
Location: Jaipur | Experience: 3–7+ Years | Full-time
About the Role:
We're looking for an experienced AI Engineer to build scalable, production-ready AI solutions using LLMs, vector databases, RAG pipelines, and agent-based workflows on cloud platforms. You'll translate business needs into robust AI systems, optimize inference, and integrate modern AI tools like LangChain and LlamaIndex.
Must-Have Skills:
- Python & SQL
- Vector DBs: Pinecone, FAISS, Weaviate
- LLMs in production (OpenAI, Claude, Gemini)
- LangChain / LlamaIndex
- Cloud deployment: Azure, AWS, or GCP
- FastAPI, Flask, Django integration
Preferred: Agentic AI, MLOps, multi-modal pipelines, AI safety practices
Qualifications:
- B.Tech / M.Tech in CS, Data Science, AI/ML
- Strong analytical mindset & communication skills
If Intrested. Please submit your CV to or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on : :
Artificial Intelligence Engineer
Posted today
Job Viewed
Job Description
Job Summary:
We are looking for an AI Engineer with strong expertise in designing and deploying AI/ML solutions that solve real-world business problems. The ideal candidate combines a deep understanding of machine learning with strong Python scripting skills, enabling them to move from concept to production quickly.
Key Responsibilities:
· Apply AI/ML techniques to business use cases in predictive modeling, NLP, computer vision, and optimization.
· Collaborate with stakeholders to translate business needs into AI-driven solutions.
· Develop and maintain production-ready pipelines for data processing, model training, deployment, and monitoring.
· Leverage Python scripting for automation, data transformation, and workflow orchestration.
· Integrate AI models into applications, APIs, and enterprise systems.
· Continuously evaluate and optimize model performance for accuracy, scalability, and cost-efficiency.
· Stay up to date with emerging AI/ML frameworks, tools, and best practices.
Required Qualifications:
· 4+ years of applied AI/ML experience with proven deployment in production.
· Must have exposure to NLP and Generative AI solutions.
· Experience with containerization (Docker, Kubernetes) for ML workloads.
· Strong hands-on expertise in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
· Experience applying machine learning algorithms to structured and unstructured data.
· Solid knowledge of data pipelines, APIs, and automation using Python scripting.
· Experience with cloud AI/ML services (Azure ML, AWS SageMaker, GCP Vertex AI).
· Familiarity with MLOps practices for deployment, monitoring, and lifecycle management.
· Strong problem-solving ability and business mindset for practical AI applications.