Senior AI/ML Developer / Lead AI/ML Developer
Amantra · Indore
Collected role description
We're looking for Senior/Lead AI/ML Developer to join our team.
About us
Amantra is an AI-driven technology company focused on building intelligent, scalable, and enterprise-ready solutions powered by Agentic AI, automation, and advanced technologies. We are looking for an experienced Senior AI/ML Developer or Lead AI/ML Developer to drive the design, development, and deployment of AI/ML solutions and contribute to the development of next-generation intelligent applications.
Responsibilities
- Design, develop, and deploy scalable AI/ML models and intelligent applications for enterprise use cases.
- Lead the development of Generative AI and Agentic AI solutions, including AI agents, LLM-powered applications, and multi-agent workflows.
- Develop and optimize machine learning and deep learning models for classification, prediction, natural language processing, and other relevant use cases.
- Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering.
- Design and implement AI pipelines, data preprocessing workflows, model evaluation frameworks, and inference services.
- Build and integrate AI solutions using Python, REST APIs, and relevant AI/ML frameworks.
- Evaluate and implement suitable models, libraries, and AI platforms based on business requirements.
- Optimize model performance, latency, scalability, reliability, and inference costs.
- Establish best practices for model versioning, deployment, monitoring, testing, and continuous improvement.
- Collaborate with product managers, software engineers, and other stakeholders to translate business requirements into technical solutions.
- Lead technical discussions, conduct code reviews, mentor junior developers, and promote engineering best practices.
- Stay updated on emerging developments in Generative AI, Agentic AI, and machine learning technologies.
Requirements
- 5+ years of hands-on experience in AI/ML development, with demonstrated experience delivering production-ready solutions.
- Strong proficiency in Python and commonly used libraries such as NumPy, Pandas, Scikit-learn, and relevant deep learning frameworks.
- Strong understanding of machine learning algorithms, deep learning architectures, statistics, and model evaluation techniques.
- Practical experience with Generative AI, LLMs, prompt engineering, embeddings, and RAG-based applications.
- Experience with AI agent frameworks and orchestration tools such as LangChain, LangGraph, LlamaIndex, or equivalent technologies.
- Experience with frameworks such as PyTorch or TensorFlow.
- Hands-on experience with vector databases such as FAISS, Pinecone, Weaviate, Chroma, or equivalent solutions.
- Experience building APIs and integrating AI models into enterprise applications.
- Knowledge of Docker, Git, CI/CD, and cloud-based AI/ML deployment environments.
- Experience with model monitoring, performance optimization, and production troubleshooting.
- Strong problem-solving, analytical, communication, and technical decision-making skills.
Preferred Qualifications
- Experience in developing and deploying Agentic AI projects or products, including AI agents, multi-agent systems, autonomous workflows, and LLM-powered enterprise applications, will be strongly preferred.
- Experience leading AI/ML projects or mentoring developers.
- Exposure to AWS, Azure, or Google Cloud AI services.
- Experience with MLOps, MLflow, model registries, and automated model deployment pipelines.
- Understanding of AI security, responsible AI practices, data privacy, and LLM evaluation.
- Experience developing enterprise-grade AI products, intelligent automation solutions, or Agentic AI applications.
How to Apply
- Ready to take the next step in your career?
Apply now and become part of our growing team. You can also send your resume to careers@amantra.ai
Collected preferred qualification
Experience in developing and deploying Agentic AI projects or products, including AI agents, multi-agent systems, autonomous workflows, and LLM-powered enterprise applications, will be strongly preferred.
Collected experience requirement
5+ years