AI / ML Engineer

About the role

Verdantis is seeking an AI/ML Engineer to join our Mumbai office and contribute to building intelligent AI-powered solutions for enterprise applications. You will work closely with product, engineering, and data teams to design, develop, train, and deploy machine learning models and AI solutions that address real-world business challenges in asset-intensive industries including Oil & Gas, Energy, Metals & Mining, Chemicals, Food & Beverage, and Manufacturing. In this role, you will design and deploy scalable machine learning and AI models for enterprise use cases, including predictive analytics, classification systems, recommendation engines, and intelligent automation solutions. You will work on NLP and LLM-based applications, information extraction, and intelligent data processing pipelines. Your responsibilities will include developing and optimizing ML pipelines for model training, testing, deployment, and monitoring, as well as integrating AI solutions into enterprise platforms and cloud environments. You will fine-tune and evaluate large language models and AI models for domain-specific applications while collaborating with software engineering and product teams for end-to-end delivery. You should have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field, with 2–4 years of hands-on experience in AI/ML development. Strong proficiency in Python is essential, along with practical experience using TensorFlow or PyTorch, Scikit-learn, Pandas, NumPy, MLflow, Hugging Face, and LangChain or similar LLM frameworks. You must have solid knowledge of machine learning algorithms, deep learning, NLP, generative AI, RAG architectures, and model fine-tuning. Additional technical competencies include experience with APIs, microservices, and cloud platforms (AWS, Azure, or GCP), MLOps concepts, CI/CD pipelines, SQL/NoSQL databases, Docker, and Kubernetes. Preferred experience includes building AI agents or enterprise AI solutions, exposure to document intelligence, data extraction, recommendation systems, forecasting models, and vector databases such as Pinecone, Chroma DB, or FAISS. Understanding of enterprise data ecosystems, ERP systems, or master data management concepts is advantageous. Verdantis offers the opportunity to work on cutting-edge AI and Agentic AI solutions in a collaborative, innovation-driven environment with exposure to global enterprise projects and strong career growth potential in a rapidly expanding AI-native organization.

What you'll do

• Design and deploy scalable machine learning and AI models for enterprise use cases including predictive analytics, classification systems, recommendation engines, and intelligent automation
• Develop and optimize ML pipelines for model training, testing, deployment, and monitoring
• Work on NLP and LLM-based applications, information extraction, and intelligent data processing pipelines
• Fine-tune and evaluate large language models and AI models for domain-specific applications
• Integrate AI solutions into enterprise platforms and cloud environments
• Collaborate with software engineering, product, and data teams for end-to-end delivery of AI solutions

What we're looking for

• Bachelor's degree or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field
• 2–4 years of hands-on experience in AI/ML development