AI / ML Engineer - Gen AI

UsefulBI; Bengaluru; In loco; INR 900.000 - 1.700.000; Tempo pieno

Descrizione del lavoro

UsefulBI Corporation is seeking an AI/ML Engineer to design and deploy scalable machine learning solutions. You will work with Python, ML frameworks, and data pipelines, handling large datasets and both structured and unstructured data.

Exposure to NLP and generative AI is a plus, with collaboration across engineering and product teams to ship AI-driven features. The role emphasizes model training, evaluation, deployment, and ongoing optimization in a fast-paced AI environment, leveraging cloud

Competenze

• Proficient in Python and ML frameworks.
• Experience with data processing and feature engineering.
• Familiarity with model evaluation and deployment concepts.
• Experience with APIs, databases, and cloud platforms (AWS/Azure/GCP).
• Exposure to NLP, generative AI, or chatbots is a plus.

Mansioni

• Build, train, and optimize 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 optimize model performance.

Conoscenze

Python

Machine Learning

NLP

Deep learning

APIs

Databases

SQL

Cloud platforms

Strumenti

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Descrizione del lavoro

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 optimize 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 optimize 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 optimization, 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.