Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,……
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,……
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,……
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,……
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,……
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,……
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,……
Co‑develop AI solutions in a collaborative, cross‑functional environment, working closely with transformer design engineers, operations teams, and digital……
Run within the Artificial Intelligence field, feasibility studies, propose, and develop new technical concepts, design, and implement new solutions.…
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,……
In this role, you will work on production-grade AI systems, contributing to the development of scalable, intelligent solutions that integrate structured and……
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,……
Our client creates AI solutions for live and social experiences, allowing users to build interactive apps, rituals, and environments that function in real time……
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,……
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,……
Study emerging AI technologies, evaluate engineering use cases and drive digital transformation initiatives across engineering and manufacturing operations.…
For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs.…
Hands-on experience with vector databases and embedding techniques, data pipelines. Familiarity with access control models (e.g. RBAC, ABAC) and data governance……
The team then builds an application solution with customers to demonstrate value. Flexibility in workspace, either remote or our welcoming office.…
You will work closely with researchers, senior engineers, product managers, and designers to deliver products that drive business value for our customers.…
Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate,……
In this role, you will design and develop robust data pipelines, deploy machine learning models, build high-performance APIs, and collaborate with cross-……
Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that……
Lakehouse Monitoring for model drift and data quality tracking. Clear communication skills for client interactions and technical documentation.…
As an AI Engineer at OneMagnify, you’ll focus on making machine learning and generative AI systems reliable, scalable, and production‑ready for real client use.…
About CoffeeBeans Consulting
CoffeeBeans is a fast-growing tech company delivering high-quality software and AI solutions to clients across industries. We combine deep technical expertise with an agile mindset to solve complex business problems. Our data science and GenAI teams work at the frontier of ML, NLP, and product development to build intelligent, scalable, and user-centric solutions.Role Overview
As an L1 Data Scientist, you will work alongside experienced engineers and data scientists to solve real-world problems using ML and GenAI. In addition to classical data science work, we expect you to actively contribute to building and fine-tuning large language model (LLM)–based applications, including chatbots, copilots, and automation workflows.
This role is ideal for early-career professionals with a strong analytical mindset, a passion for ML/AI, and curiosity around the fast-evolving world of generative AI.Key Responsibilities
Work with business stakeholders to understand problem statements and assist in translating them into data science tasks.
Perform data collection, cleaning, feature engineering, and exploratory data analysis.
Develop and evaluate machine learning models using Python and ML libraries (e.g., scikit-learn, XGBoost).
Assist in building LLM-based workflows such as RAG (Retrieval-Augmented Generation), prompt engineering, and fine-tuning for use cases like document summarisation, query resolution, and task automation.
Contribute to developing GenAI-powered applications using tools like LangChain, OpenAI APIs, or similar LLM ecosystems.
Collaborate with engineers to build and test API endpoints, integrate models into applications, and monitor model performance post-deployment.
Maintain reproducible notebooks and clear documentation for both traditional ML and LLM experiments.
Stay up to date with trends in machine learning, NLP, and GenAI ecosystems and contribute insights to team discussions.
Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
0–3 years of experience in data science, ML, or AI-focused roles.
Proficiency in Python, with exposure to libraries such as pandas, NumPy, scikit-learn, and matplotlib.
Basic experience working with LLMs (e.g., OpenAI, Cohere, Mistral, Hugging Face) or an interest and ability to learn quickly.
Understanding of NLP fundamentals and vector-based retrieval techniques is a plus.
Familiarity with SQL and working with structured data sources.
Clear communication, curiosity, and a willingness to take initiative.
Good-to-Have (Not Mandatory)
Exposure to building GenAI prototypes using LangChain, LlamaIndex, or similar frameworks.
Understanding of REST APIs and basics of integrating models into backend systems.
Experience with cloud platforms (AWS/GCP/Azure), Docker, or Git.
Why Join CoffeeBeans?
Work on cutting-edge GenAI and ML use cases across fintech, retail, healthcare, and more.
Fast learning curve with mentorship from senior data scientists, engineers, and architects.
Flat, collaborative culture that rewards ownership and curiosity.
Strong emphasis on product thinking, experimentation, and impact.
The minimum salary is ₹4L and the max salary is ₹8L.
₹4L – ₹8L/yr (Glassdoor Est.)
₹6L
/yr Median
Bengaluru
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