Description

You will own the design, development, and optimization of machine learning models across various domains.

Responsibilities

• Design, develop, and optimize machine learning models for applications across different domains.
• Build natural language processing pipelines for tasks like text generation, summarization, and translation.
• Develop and deploy generative AI and Agentic AI applications.
• Implement MLOps practices, covering model training, evaluation, deployment, and monitoring.
• Integrate machine learning capabilities into existing products or build new AI-powered applications.

Required Skills

• Minimum 5 years of professional experience in machine learning engineering and AI development.
• Deep expertise in machine learning algorithms, including supervised, unsupervised, and deep learning.
• Solid experience with Natural Language Processing (NLP), language models, and text generation.
• Proven understanding of generative AI concepts (e.g., diffusion models, transformers).
• Hands-on experience building applications using Agentic AI frameworks (e.g., Langgraph, ADK, AutoGen).
• Proficiency in Python and ML frameworks like PyTorch and TensorFlow.
• Experience implementing and managing ML model deployment pipelines (MLOps).
• Knowledge of cloud platforms such as AWS, GCP, or Azure for scalable ML solutions.
• Experience with data processing, feature engineering, and training models on large datasets.

Key Skills

Education

Any Gradute