AI / ML Engineer - GenAI

UsefulBI Corporation; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

UsefulBI Corporation in Bengaluru is seeking an experienced AI/ML Engineer to design, build, and optimize intelligent systems. You will work with large datasets and develop scalable AI/ML solutions.

Exposure to generative AI/LLMs is a plus. Strong Python and ML/NLP/deep learning skills, plus experience with ML libraries and cloud data workflows.

Qualifications

• Proficiency in Python and hands-on ML/NLP/deep learning experience.
• Experience with Scikit-learn, TensorFlow, PyTorch, Pandas and NumPy.
• Strong knowledge of ML algorithms, statistics, deployment concepts.
• Experience with APIs, databases, and large-scale data processing.
• Familiarity with SQL and cloud platforms such as AWS, Azure, or GCP.
• Understanding of MLOps and scalable deployment practices.

Responsibilities

• Build, train, and optimise machine learning and AI models.
• Work on data analysis, feature engineering, and model evaluation.
• Develop scalable AI/ML pipelines and workflows.
• Work with structured and unstructured datasets.
• Collaborate with engineering and product teams to deliver AI-driven solutions.
• Implement and improve NLP, predictive modelling, or deep learning solutions.
• Troubleshoot, debug, and optimise model performance.

Skills

Python

ML

NLP

Deep learning

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

APIs

Databases

AWS

Azure

GCP

MLOps

Job description

We are looking for a skilled AI/ML Engineer with strong experience in machine learning, NLP, deep learning, or related AI technologies. The ideal candidate should have hands‑on experience building intelligent systems, working with large datasets, and developing scalable AI/ML solutions. Exposure to generative AI/LLMs will be considered a good‑to‑have.

Responsibilities

• Build, train, and optimise machine learning and AI models.
• Work on data analysis, feature engineering, and model evaluation.
• Develop scalable AI/ML pipelines and workflows.
• Work with structured and unstructured datasets.
• Collaborate with engineering and product teams to deliver AI‑driven solutions.
• Implement and improve NLP, predictive modelling, or deep learning solutions.
• Troubleshoot, debug, and optimise model performance.

Requirements

• Strong expertise in Python.
• Hands‑on experience in machine learning, NLP, or deep learning.
• Experience with Scikit‑learn, TensorFlow, PyTorch, Pandas, and NumPy.
• Strong understanding of ML algorithms, statistics, model optimisation, and deployment concepts.
• Experience working with APIs, databases, and large‑scale data processing.
• Familiarity with SQL and cloud platforms such as AWS/Azure/GCP.
• Understanding of MLOps concepts and scalable deployment practices.

Good To Have

• Strong expertise in Python and the AI/ML ecosystem.
• Experience with generative AI, LLMs, RAG, LangChain, vector databases, or AI agents.
• Experience building chatbots or GenAI‑powered applications.
• Exposure to fine‑tuning, prompt engineering, or LLM orchestration frameworks.

This job was posted by Chetna Joshi from UsefulBI.