Machine Learning Engineer

Company Name : Evomaton Private Limited, Bangalore, India.

Experience : 2+ years

Job mode : Hybrid, 3 days / week from Office at Bangalore.

About Evomaton :

Evomaton is a consulting and software services company providing services for AI / ML / Data / IoT and other high-end digital systems in EPC, Mobility, Healthcare, and Product Engineering domains. Data acquisition, synthetic data, data architecture, data pipelining, big data, prescriptive analytics, ML / DL / GenAI / Agentic, and MLOps for various digital domains from core engineering to electronics products are the areas of operation for Evomaton.

Company Website : www.evomaton.com

Job Description :

We are seeking a highly skilled and experienced ML Engineer with expertise in LLMs, GenAI, RAG, and AI Agentic systems. The ideal candidate will have a decent background of data science (Statistics, Math, ML, DL) and good knowledge of Large Language Models (LLMs), along with hands-on experience in building and deploying LLM agents. You will play a pivotal role in selecting, developing, fine-tuning, and deploying LLMs for a variety of intelligent digital applications. We offer a competitive salary, benefits, and a share of profits for exceptional candidates.

Key Responsibilities :

As a ML Engineer , you will have the unique opportunity to work on groundbreaking projects, learn from senior technologists, and experience rapid career growth in a collaborative environment.

Lead the selection of appropriate foundation models and APIs for diverse intelligent digital applications. Design, develop, fine-tune, and deploy Large Language Models (LLMs) to power innovative digital solutions.

• Lead the selection of appropriate foundation models and APIs for diverse intelligent digital applications. Design, develop, fine-tune, and deploy Large Language Models (LLMs) to power innovative digital solutions.
• Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph.
• Design and optimize Retrieval-Augmented Generation (RAG) systems leveraging vector databases such as FAISS, Pinecone, Weaviate, and ChromaDB to significantly enhance LLM-based applications.
• Optimize and fine-tune state-of-the-art transformer-based models (e.g., GPT, LLaMA, Falcon, Mistral, Claude) for domain-specific tasks, ensuring high performance and accuracy.
• Develop and implement advanced prompt engineering techniques and fine-tuning strategies to continuously improve LLM performance and accuracy.
• Design and build sophisticated AI agents, multi-agent systems, and optimize tool-use for real-world business applications.
• Drive the end-to-end development of digital cloud-based applications, encompassing UI / UX, APIs, DevOps, microservices, and application orchestration.

Required Skills & Qualifications :

Why Join Us?

To Apply :

If you are a passionate and experienced AI / ML professional eager to make a significant impact in a rapidly growing startup, we encourage you to apply! Please submit your resume and cover letter detailing your relevant experience and why you are a great fit for this role.