Associate Architect

Role : Associate Architect - Machine Learning EngineerExperience Level : 6 to 9 yearsLocation : Mumbai / Bangalore / Trivandrum (hybrid)Notice Period : 0-30 daysJob Summary:We are looking for experienced Machine Learning Architects to join our team, focused on building Agentic AI workflows, fine-tuning Large Language Models (LLMs), performing prompt engineering, and applying related generative AI techniques. The ideal candidate will have expertise in cutting-edge AI technologies and the ability to design, develop, and deploy AI solutions that can autonomously perform tasks with minimal human intervention.Roles & Responsibilities:- Agentic AI Development: Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes - LLM Fine-Tuning: Work with large-scale pre-trained models (like Llama, Mistral etc.) to fine-tune with techniques like PEFT, SFT and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency. - Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot to enhance model responses, ensuring that model outputs are aligned with use case requirements. - AI Workflow Automation: Build end-to-end workflows for AI solutions, from data collection and preprocessing to training, deployment, and continuous improvement in production environments. - Collaboration with Cross-functional Teams: Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions. - Research & Development: Stay current with the latest research and developments in generative AI, deep learning, NLP, reinforcement learning, and related fields to ensure that the organization stays at the forefront of technology. - Scaling and Deployment: Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments. - Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.Required Skills & Qualifications:- Experience: - 6 to 9 years of hands-on experience in machine learning and AI engineering. - Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. - Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. - Strong experience in prompt engineering to optimize AI models performance.- Technical Skills: - Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. - Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. - Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. - Experience with NLP tasks, such as text classification, text generation, summarization, and question answering. - Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks. - Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git).- Soft Skills: - Strong problem-solving and analytical skills. - Excellent communication and teamwork abilities to collaborate with stakeholders. - Ability to work independently and drive projects to completion with minimal supervision.

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