Artificial Intelligence Engineer- Fresher (Mumbai)

Artificial Intelligence Engineer- Fresher (Mumbai)

21 Oct
|
V2STech Solutions
|
Mumbai

21 Oct

V2STech Solutions

Mumbai

Why Work at V2STech?

Build meaningful products, learn from real scale, and grow your career

Work on Products That Matter

Build SaaS products used by thousands. See your code help companies scale from MVP to acquisition.

Recent successes: QFix (₹50Cr+ exit), RippleHire (NASSCOM winner).

Learn from Real Scale

Work on systems serving 10K+ concurrent users, processing millions of transactions, achieving 99.99% uptime. Learn enterprise-grade architecture from day one.

Modern Tech Stack

Work with React, Node.js, Python, AWS, Kubernetes, AI/ML. Stay current with latest technologies. Regular training and conference attendance.

Global Clients, Global Impact

Build for clients in US, UK, and India markets.

Experience working with Fortune 500 enterprises and venture-backed startups.

Career Growth

Transparent career progression paths. Many team members promoted from junior to lead roles. Mentorship from senior engineers with 10+ years experience.

Founder-Friendly Culture

Work directly with SaaS founders. Understand business alongside technology. Several team members have launched their own startups after learning here.

Our Values &

- Culture

What we believe and how we work

Our Core Values

1. Ownership Mindset

You own your code like it's your own startup

2. Quality Over Speed

But we move fast without breaking things

3. Radical Transparency

Open communication, no hidden agendas

4. Continuous Learning

Invest in your growth every day

5. User-Centric Always

Build for real people solving real problems

Life at V2STech

- Flexible work hours - start between 8-11am

- Remote/hybrid options available

- Modern office in Mumbai with great amenities

- Team outings and events quarterly

- Hackathons and innovation days

- Learning budget for courses and books

- Health insurance for you and family

Artificial Intelligence Engineer- Fresher

Eligibility Criteria

- Pass-out Year: 2025 or 2026

- Completed a certification course in AI / Data Science / Machine Learning from a reputed institute





- Have done an internship or personal project in the field — ability to demonstrate a working project is a must

- Passionate about building and experimenting with AI-based solutions

- Immediate joiners preferred

- Strong analytical and communication skills

- 0-to-6-month exp

Technical Skills Required

- Python, Pandas, NumPy, Scikit-learn, Langchain, Langgraph, CrewAI, RAG, LLM, Agentic AI, FastAPI, Django

Key Responsibilities

- Collect, clean, and prepare data for machine learning using Pandas, NumPy, etc.

- Build and experiment with Large Language Models (LLMs) using frameworks like LangChain and LangGraph.

- Develop prototypes and components of AI-powered solutions.

- Work on RAG (Retrieval-Augmented Generation) and Agentic AI workflows.

- Assist in building and maintaining data pipelines for model training and inference.

- Collaborate with cross-functional teams to integrate AI features into production.

Must Have

- Strong knowledge of Python and libraries like Pandas, NumPy Experience with one or more Python frameworks (Django, Flask, or FastAPI)

- Understanding of Machine Learning algorithms and libraries (scikit-learn, TensorFlow, Keras)

- Exposure to LLMs, RAG, Vector Databases, or Agentic AI concepts Experience with REST APIs

- Visualization tools like Matplotlib, Seaborn

- Version control using Git, working with Jupyter Notebooks

- Familiarity with AI-focused IDEs like Cursor or WindSurf

- Exposure to open-source AI platforms such as Hugging Face, Ollama

- Basic understanding of cloud services (AWS, GCP)

Benefits &

- Perks

We invest in our team's success and well-being

Compensation

- Competitive salaries (market rate + bonuses)

- Annual salary reviews

- Performance-based bonuses

- Stock options for senior roles

Health &

- Wellness

- Health insurance

- Mental health support

- Gym membership reimbursement

- Annual health checkups

Work-Life Balance

- Flexible working hours

- Work from home options

- 22 paid holidays

- Maternity/paternity leave

Learning &

- Growth

- ₹50K annual learning budget

- Conference attendance

- Online courses (Udemy, Pluralsight)

- Technical book library

📌 Artificial Intelligence Engineer- Fresher (Mumbai)
🏢 V2STech Solutions
📍 Mumbai

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