Parvati Pune Maharashtra Ai/ml engineer Jobs – 767 Open Jobs Today

AI Intern / AI Engineer
PyxTech —Pune, Maharashtra
- From ₹4,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
AI/ML Engineer
TechLantern Solutions Pvt. Ltd. —Pune, Maharashtra
- ₹4,00,000 - ₹20,00,000 a year
- Full-time
- Hybrid work
- Azure
- Master's degree
- SQL
- Paid time off
- Work from home
Quick apply
10d
Jr. AI/ML Engineer-i2i#SDi001
Ideas To Impacts —Pune, Maharashtra
- From ₹10,00,000 a year
- Full-time
- Azure
- Master's degree
- Databases
- Health insurance
- Paid time off
Quick apply
AI/ML Engineer
Optum —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Java
- Health insurance
6d
AI/ML Engineer
Arting Digital Private Limited —Pune, Maharashtra
- ₹12,00,000 a year
- Azure
- Master's degree
- AWS
Quick apply
14d
AI Engineer (Fresher / Entry-Level)
Keywords Studios —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Health insurance
Quick apply
12d
Intern - AI Product Engineer
amber —Pune, Maharashtra
- Up to ₹25,000 a month
- Full-time
- Computer Science
- Research
- Master's degree
Quick apply
AI/ML Engineer
iProgrammer —Pune, Maharashtra
- Azure
- Master's degree
- Databases
AI/ML Engineer
Leuwint —Pune, Maharashtra
- Azure
- SQL
- AWS
8d
AI/ML Engineer
Dassault Systèmes —Pune, Maharashtra
- Remote
- Azure
- SQL
- AWS
5d
AI/ML Engineer
66degrees —Pune, Maharashtra
- Computer Science
- SQL
- Bachelor's degree
AI / ML Engineer – Fresher
total automations solutions —Pune, Maharashtra
- Full-time
- Azure
- AWS
- APIs
AI/ML Engineer
Proclink —Pune, Maharashtra
- Full-time
- Azure
- Master's degree
- Databases
AI / ML Engineer
Accenture —Pune, Maharashtra
- Full-time
- Azure
- Databases
- AWS
AI Engineer
Stratacent —Pune, Maharashtra
- Full-time
- Master's degree
- Analysis skills
- AI
- Commuter assistance
- Health insurance
Quick apply
AI Engineer
Tata Consultancy Services —Pune, Maharashtra
- Bachelor's degree
- JavaScript
- AI
AI/ML Engineer
Jade Global —Pune, Maharashtra
- Full-time
- Azure
- Databases
- AWS
Gen AI Engineer
P9 Farms Private Limited —Pune, Maharashtra
- From ₹6,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
AI Engineer
Mastercard —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Master's degree
AI/ML Engineer
Blue Flame Labs —Pune, Maharashtra
- Full-time
- Azure
- Doctoral degree
- Computer Science

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AI Intern / AI Engineer

PyxTech
Pune, Maharashtra

Quick apply

Job details

Full-time
From ₹4,00,000 a year

Qualifications

CI/CD
Azure
Computer Science
Git
Master's degree
Databases
SQL
AWS
Analysis skills
Database management
Docker
Bachelor's degree
Machine learning
Continuous integration
Software development
GitHub
APIs
Data science
AI
Communication skills
Python
Information Technology

Full job description

Job Title: AI Intern / AI Engineer

Location: Pune

Open Positions

AI Intern (0–1 Year / Students & Fresh Graduates) - Unpaid
AI Engineer (2–5 Years Experience)

About PyxTech

PyxTech is building innovative technology solutions that leverage Artificial Intelligence, Automation, and Data-driven insights to solve real business challenges. We are looking for passionate AI professionals who are eager to work on cutting-edge technologies including Generative AI, Large Language Models (LLMs), AI Agents, Machine Learning, and Intelligent Automation.

Role Overview

As an AI Intern or AI Engineer, you will contribute to the design, development, and deployment of AI-powered applications and automation solutions. Depending on your experience level, you will work under mentorship or independently on real-world AI projects.

Key Responsibilities

Design, develop, and implement AI-powered solutions.
Build and optimize prompts for Large Language Models (LLMs).
Develop AI applications using modern frameworks and APIs.
Research and evaluate emerging AI technologies and tools.
Create Proof of Concepts (POCs) for business use cases.
Work with structured and unstructured datasets.
Develop Retrieval-Augmented Generation (RAG) pipelines and AI workflows.
Collaborate with product, engineering, and business teams.
Document solutions, experiments, and technical findings.
Continuously improve model performance and user experience.

Required Skills

Strong programming skills in Python.
Understanding of Artificial Intelligence and Machine Learning concepts.
Familiarity with APIs and software development fundamentals.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.

Preferred Skills

Experience with Generative AI platforms such as OpenAI, Gemini, Claude, or Hugging Face.
Knowledge of LangChain, LangGraph, CrewAI, AutoGen, or AI Agent frameworks.
Understanding of RAG architectures and Vector Databases (FAISS, ChromaDB, Pinecone, Weaviate, etc.).
Knowledge of SQL and database management.
Familiarity with cloud platforms such as AWS, Azure, or GCP.
Experience with Git, Docker, and CI/CD pipelines.

Qualifications For AI Intern

Pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related fields.
Understanding of Python and basic AI/ML concepts.
Strong willingness to learn and experiment with AI technologies.

For AI Engineer

Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related fields.
2–5 years of hands-on experience in AI/ML or Generative AI development.
Experience building and deploying production-grade AI solutions.

What We Offer

Opportunity to work on cutting-edge AI and Generative AI projects.
Exposure to real-world business challenges and enterprise use cases.
Collaborative and innovation-driven work environment.
Mentorship from experienced technology professionals.
Career growth opportunities in a rapidly evolving AI ecosystem.

How to Apply

Interested candidates can share their resume along with relevant project details, GitHub profile, portfolio, or AI-related work samples.

Pay: From ₹400,000.00 per year

Work Location: In person

Quick apply

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