Job Description
<p><p>While technology is the heart of our business, a global and diverse culture is the heart of our success.<br/><br/> We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br/><br/> If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests youyou would enjoy your career with Quantiphi!.<br/><br/><b> Required Experience : </b>6 to 9 years.</p><br/><p><b>Roles And Responsibilities :</b></p><p><p><b><br/></b></p>- Agentic AI Development : Design, develop, and optimize domain adaptive agentic AI systems that helps in automating business processes.<br/><br/></p><p>- 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.<br/><br/></p><p>- Evaluate and Optimize for performance, accuracy, and efficiency.<br/><br/></p><p>- 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.<br/><br/></p><p>- 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.<br/><br/></p><p>- Collaboration with Cross-functional Teams : Work closely with data scientists, software engineers, and product managers to define AI product requirements and deliver innovative solutions.<br/><br/></p><p>- 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.<br/><br/></p><p>- Scaling and Deployment : Deploy machine learning models at scale, optimizing for latency, throughput, and robustness in production environments.<br/><br/></p><p>- Documentation & Reporting : Maintain clear documentation of models, workflows, and experiments, and communicate results effectively to stakeholders.</p><br/><p><b>Skills Required :</b></p><p><p><b><br/></b></p>- 6 to 9 years of work experience in machine learning and AI engineering.<br/><br/></p><p>- Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar.<br/><br/></p><p>- Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.<br/><br/></p><p>- Strong experience in prompt engineering to optimize AI models performance.</p><br/><p><b>Technical Skills :</b></p><p><p><b><br/></b></p>- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.<br/><br/></p><p>- Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar.<br/><br/></p><p>- Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models.<br/><br/></p><p>- Experience with NLP tasks, such as text classification, text generation, summarization, and question answering.<br/><br/></p><p>- Knowledge of reinforcement learning, multi-agent systems, or other autonomous decision-making frameworks.<br/><br/></p><p>- Familiarity with SDLC life cycle , data processing tools (e.g., Pandas, NumPy, etc.) and version control (e.g., Git).</p><br/><p><b>Soft Skills :</b></p><p><p><b><br/></b></p>- Strong problem-solving and analytical skills.<br/><br/></p><p>- Excellent communication and teamwork abilities to collaborate with stakeholders.<br/><br/></p><p>- Ability to work independently and drive projects to completion with minimal supervision.</p><br/><p><b>Preferred Skills & Qualifications :</b></p><p><p><b><br/></b></p>- Experience in deploying AI models at scale in production environments.<br/><br/></p><p>- Expertise in large-scale data processing, optimization techniques, and model deployment.</p><br/><p>If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!</p><br/></p> (ref:hirist.tech)