Senior Machine Learning Engineer

2 weeks ago

Bengaluru, Karnataka, India Quantiphi Full time

Role : Senior Machine Learning Engineer (GenAI)

Required Experience : 3 to 6 years

Location : Mumbai / Bangalore / Trivandrum (hybrid)

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.

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