AI/ML Engineer

Adharai; Pune District; In loco; INR 1.800.000 - 3.000.000; Tempo pieno

Descrizione del lavoro

Adharai is seeking an AI/ML Engineer to build and deploy ML and generative AI solutions for real business problems. You will take models from experiments to production, collaborating with data engineers, product teams and client domain experts.

You will work on training and evaluating models, developing AI applications using LLMs, preparing data, and deploying with MLOps practices. Strong Python, ML/DL and statistics knowledge is essential for success.

Competenze

• 3+ years of experience building and deploying ML models.
• Strong Python skills with PyTorch, TensorFlow or scikit-learn.
• Hands-on experience with LLMs, prompt engineering, embeddings or vector databases.
• Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker or Azure ML).
• Solid understanding of statistics and model evaluation.
• Bachelor's or Master's degree in Computer Science, Data Science or a related field.

Mansioni

• Build, train and evaluate machine learning and deep learning models.
• Develop generative AI applications using LLMs, retrieval-augmented generation and agents.
• Prepare, clean and engineer features from structured and unstructured data.
• Deploy models to production with MLOps practices for monitoring and retraining.
• Measure model quality, bias and performance against business goals.
• Document solutions and share knowledge with the wider engineering team.

Conoscenze

Python programming

ML/DL model development

LLMs / prompt engineering

MLOps concepts

Model evaluation & bias

Formazione

Bachelor's or Master's degree in Computer Science or Data Science

Strumenti

PyTorch

TensorFlow

scikit-learn

MLflow

Kubeflow

SageMaker

Azure ML

Embeddings/Vector DBs

Descrizione del lavoro

As an AI/ML Engineer you will build and deploy machine learning and generative AI solutions that solve real business problems for our clients.You will take models from experiment to production, working with data engineers, product teams and client domain experts.

Responsibilities

• Build, train and evaluate machine learning and deep learning models
• Develop generative AI applications using LLMs, retrieval-augmented generation and agents
• Prepare, clean and engineer features from structured and unstructured data
• Deploy models to production with MLOps practices for monitoring and retraining
• Measure model quality, bias and performance against business goals
• Document solutions and share knowledge with the wider engineering team

Requirements

• 3+ years of experience building and deploying ML models
• Strong Python skills and experience with PyTorch, TensorFlow or scikit-learn
• Hands-on experience with LLMs, prompt engineering, embeddings or vector databases
• Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker or Azure ML)
• Solid understanding of statistics and model evaluation
• Bachelor's or Master's degree in Computer Science, Data Science or a related field