Overview

Company Description Skybate Technologies Pvt Ltd is an AI-native engineering and talent solutions company that helps businesses accelerate growth through IT staffing, software development, AI solutions, and cloud engineering.

Responsibilities

• We are looking for an experienced AI/ML Scientist with 6 years of experience in Artificial Intelligence and Machine Learning. The ideal candidate should have strong expertise in Machine Learning, Deep Learning, NLP and/or Computer Vision, Generative AI, and MLOps, with a proven ability to develop and deploy AI solutions that deliver measurable business value.
• The candidate will be responsible for designing, developing, optimizing, and deploying advanced ML and GenAI solutions, including RAG, Graph RAG, Agentic AI workflows, model tuning, and production ML systems.
• Design and develop machine learning and deep learning solutions for real-world business problems.
• Develop and deploy Generative AI applications using LLMs, RAG, Graph RAG, and Agentic AI workflows.
• Work on NLP and/or Computer Vision use cases using modern deep learning and Transformer architectures.
• Build, train, evaluate, fine-tune, and optimize ML/AI models.
• Develop scalable ML pipelines and deploy models into production environments.
• Implement MLOps practices for model training, deployment, monitoring, and lifecycle management.
• Work with cloud platforms and ensure appropriate cloud security and data security practices.
• Collaborate with engineering, product, and business teams to convert business requirements into AI solutions.
• Stay current with developments in Generative AI, LLMs, Agentic AI, and modern ML techniques.

Qualifications

• 46 years of professional experience
• in AI/ML, Data Science, Machine Learning, or a closely related field.
• Strong programming skills in Python.
• Strong understanding of Statistics, Probability, Linear Algebra, and Calculus.
• Strong knowledge of classical Machine Learning algorithms, including:
• Linear & Logistic Regression
• Decision Trees / CART
• Random Forest
• Gradient Boosting
• Time Series Analysis
• Strong understanding of Deep Learning, including: .