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Capabilities

Capabilities Overview

Product

- Product Engineering
- Platform Engineering
- Experience Engineering
- Engineered Quality
- DevOps

Data

- Data Strategy & Governance
- Data Engineering
- BI & Self Service Analytics
- Advanced Analytics & AI
- Managed Data Services

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- Agentic AI

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Industries Overview

- Retail & eCommerce
- Manufacturing & Logistics
- Adtech

- Banking & Finance




- Real Estate
- Edtech

- Healthcare
- Green Tech
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Thought Leadership

- Blogs
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About Us

Company

- About Us
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Careers Get in Touch

HomeCareer AI Engineer

AI Engineer

Bengaluru 2-4 years

Role Overview

As an AI Engineer at Nineleaps, you will work on building, testing, and improving machine learning solutions that solve real-world business problems. You'll contribute across the AI lifecycle—from data preparation and model experimentation to evaluation, documentation, and collaboration with cross-functional teams. This role is ideal for professionals with a solid foundation in machine learning and Python who are excited to explore modern AI concepts, including deep learning, LLMs, and generative AI.

Key Responsibilities

- Implement, test, and optimize foundational machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn
- Assist with data collection, preprocessing, and exploratory data analysis (EDA) to prepare high-quality datasets for model training and evaluation
- Conduct literature reviews and stay up to date with the latest developments in AI, machine learning, and generative AI




- Apply new ideas and emerging techniques in prototypes and proof-of-concept solutions
- Document technical processes, experiments, and results thoroughly to support reproducibility and knowledge sharing
- Participate actively in code reviews, brainstorming sessions, and team discussions to foster collaboration and innovation
- Present findings, analyses, and model outcomes clearly to both technical and non-technical stakeholders
- Support experimentation and evaluation of models to improve accuracy, efficiency, and business relevance

What We're Looking For

- Strong proficiency in Python and hands-on experience with core libraries such as NumPy and pandas
- Foundational experience with at least one major deep learning framework, such as TensorFlow or PyTorch, along with scikit-learn for classical machine learning tasks
- Strong grasp of data structures and algorithms (DSA) and core computer science fundamentals
- Familiarity with version control tools such as Git
- Solid understanding of core AI/ML concepts, including supervised learning, unsupervised learning, classification, regression, and model evaluation metrics
- Understanding of deep learning concepts and architectures, especially Transformer models, Large Language Models (LLMs), and generative AI
- Familiarity with data preprocessing, feature selection, and basic data visualization techniques
- Basic conceptual understanding of RAG (Retrieval-Augmented Generation) architectures and prompt engineering techniques
- Strong analytical thinking, attention to detail, and a proactive problem-solving mindset
- Excellent written and verbal communication skills
- Prior internships, academic ... [truncated for excel]

📌 AI Engineer | Nineleaps (India)
🏢 Nineleaps
📍 India