Lead ML/AI Engineer
On-site · Bengaluru, Karnataka, India
Job Summary
Lead the development of high-reliability LLM and generative AI systems for Digital Green’s farmer-focused platforms. You will design and deploy end-to-end production ML pipelines (including RAG and embedding-based workflows) and work with multimodal data (text, audio, image) to support multilingual, low-resource agricultural contexts. Responsibilities include building agent-based workflows with tool use and memory, evaluating model accuracy and safety, and scaling systems from development to production while collaborating with product, engineering, and field teams to deliver real-world AI solutions for smallholder farmers.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field
- Master's degree in Computer Science, Engineering, or a related field
- Ph.D. in Computer Science, Engineering, or a related field
- 5+ years of hands-on experience deploying ML/AI models
- Deep expertise with LLMs, embeddings, and agentic architectures
- Proficiency with Python, Transformers, LangChain, SentenceTransformers
- Experience with ASR models (Whisper, Azure Speech) and multilingual audio processing
- Experience with computer vision for classification, detection, and enhancement
- Contributions to open-source LLM frameworks or multimodal systems
- Experience deploying models with Triton, TorchServe, or TensorRT
- Strong collaboration and communication skills
Desired Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field
- Master's degree in Computer Science, Engineering, or a related field
- Ph.D. in Computer Science, Engineering, or a related field
- 5+ years of experience as an AI/ML engineer, data scientist, or software engineer
- Hands-on experience deploying machine learning models
- Deep expertise with LLMs, embeddings, RAG workflows, and agentic architectures
- Experience with ASR models (Whisper, Azure Speech), multilingual audio processing
- Experience with computer vision for classification, detection, and enhancement
- Proficiency with Python, Transformers, LangChain, SentenceTransformers
- Knowledge of guardrails, evaluation harnesses, and safety tooling
- Experience with RLHF, LoRA, quantization, distillation
- Contributions to open-source LLM frameworks or multimodal systems
- Experience deploying models with Triton, TorchServe, TensorRT, or similar
- Strong interpersonal and communication skills
- Team-oriented and collaborative work style
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