Senior Machine Learning Engineer (GenAI

Role :

Required Experience :

Location :

Job Summary:

We are looking for experienced Machine Learning Engineers 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:

• 3+ 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.

Good to Have Skills:

• Experience in deploying AI models at scale in production environments.
• Expertise in large-scale data processing, optimization techniques, and model deployment.