Senior Machine Learning Engineer, Bengaluru

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!Role : Senior Machine Learning Engineer Experience Level : 3 to 6 years 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 anddomains. 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 datacollection 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 forlatency, 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 to 5 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 andbuilding 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 minimalsupervision. Preferred Qualifications: . Experience in deploying AI models at scale in production environments. . Expertise in large-scale data processing, optimization techniques, and model deployment.