Associate Architect

Role :

Associate Architect - Machine Learning Engineer

Experience Level : 6 to 9 years

Location :

Mumbai / Bangalore / Trivandrum (hybrid)

Notice Period

: 0-30 days

Job 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.