AL/ML Developer

Job Description In this role, you will be responsible for the following tasks: - Designing, developing, and deploying Generative AI models using state-of-the-art architectures such as Transformers, Diffusion models. - Building and fine-tuning LLM-powered agents capable of multi-step reasoning, task planning, and tool use. - Working with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI, or similar agent orchestration tools. - Integrating models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems. - Optimizing inference pipelines for performance, latency, and scalability. - Collaborating with product managers and data scientists to prototype and productionize AI features. - Staying updated on recent advancements in Generative AI and autonomous agents. Qualifications required for this position: - 3+ years of hands-on experience in Machine Learning / Deep Learning, with at least 1-2 years in Generative AI and/or AI Agents. - Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Transformers (Hugging Face). - Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications. - Solid understanding of prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and multi-modal learning. - Familiarity with agent orchestration frameworks and LLM tool chaining. - Strong problem-solving and communication skills. In this role, you will be responsible for the following tasks: - Designing, developing, and deploying Generative AI models using state-of-the-art architectures such as Transformers, Diffusion models. - Building and fine-tuning LLM-powered agents capable of multi-step reasoning, task planning, and tool use. - Working with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI, or similar agent orchestration tools. - Integrating models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems. - Optimizing inference pipelines for performance, latency, and scalability. - Collaborating with product managers and data scientists to prototype and productionize AI features. - Staying updated on recent advancements in Generative AI and autonomous agents. Qualifications required for this position: - 3+ years of hands-on experience in Machine Learning / Deep Learning, with at least 1-2 years in Generative AI and/or AI Agents. - Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Transformers (Hugging Face). - Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications. - Solid understanding of prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation), and multi-modal learning. - Familiarity with agent orchestration frameworks and LLM tool chaining. - Strong problem-solving and communication skills.