Senior ML Engineer 2

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Description:

We are looking for an experienced Machine Learning Engineer 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.

Role & Responsibilities:

• Prompt Engineering: Design prompts with techniques like Chain of Thought, Few Shot, Self Consistency etc. to enhance model responses, ensuring that model outputs are aligned with use case requirements.
• 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 LoRA, QLoRA, distributed training with FSDP, Deepspeed and adapt them for specific applications and domains. Evaluate and Optimize for performance, accuracy, and efficiency.
• Synthetic Data Generation: Design and develop synthetic data generation pipelines and ensure synthetic data accurately mimics real-world data distribution while maintaining variability and complexity
• Evaluation: Define and develop evaluation metrics to assess performance for individual models and end-to-end AI systems
• 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.
• Traveling to client locations as needed.
• Documentation & Reporting: Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.

Required Skills & Qualifications:

• 3 to 5 years of hands-on experience in machine learning and AI engineering.
• Proven track record in working with LLMs such as Llama, Mistral, Qwen, Deepseek and models like GPT, BERT, T5, BART or similar.
• Expertise in designing, fine-tuning, and deploying generative AI models and building RAG systems, agentic workflows.
• Strong experience in prompt engineering to optimize AI models performance.

Technical Skills:

• Proficiency in Python, PyTorch other ML frameworks.
• Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar.
• Proficiency in deployment of LLMs with vLLM, NI 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.

Preferred Skills & Qualifications:

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

What is in it for you:

• Be part of the fastest-growing AI-first digital transformation and engineering company in the world.
• Be a leader of an energetic team of highly dynamic and talented individuals.
• Exposure to working with fortune 500 companies and innovative market disruptors.
• Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud.