<p><b>We are looking forward to hire AI/ML Professionals in the following areas : </b> AI/ML Technical Lead</p><br/><p><br/></p><p>We are seeking a highly motivated and experienced Technical Lead having experience to join our growing team.
In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives.
You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic : </b> 1012 Type : </b> : </b></p><br/><p><br/></p><p>- End-to-end delivery ownership of ML and GenAI use cases.</p><br/><p><br/></p><p>- Architect RAG pipelines and build enterprise-scale GenAI accelerators.</p><br/><p><br/></p><p>- Collaborate with architects and presales teams.</p><br/><p><br/></p><p>- Ensure code modularity, testability, and governance.</p><br/><p><br/></p><p>- Work closely with product managers and business stakeholders to understand requirements and deliver actionable AI solutions.</p><br/><p><br/></p><p>- Provide guidance and mentorship to junior team members.</p><br/><p><br/></p><p>- Manage project timelines, resources, and risk assessments.</p><br/><p><br/></p><p>- Collaborate with Data Engineers, AI/ML Engineers, Full Stack Engineers, and QA Engineers to ensure smooth integration of AI solutions.</p><br/><p><br/></p><p>- Stay updated with advancements in AI/ML technologies and best Skills : </b></p><br/><p><br/></p><p>- Strong background in AI/ML model development and deployment.</p><br/><p><br/></p><p>- Proficient in Python, R, and other AI-related programming languages.</p><br/><p><br/></p><p>- Experience managing cross-functional teams in an Agile environment.</p><br/><p><br/></p><p>- Strong understanding of data science, cloud computing, and AI/ML frameworks (e.g., TensorFlow, PyTorch, </p><p>etc.).</p><br/><p><br/></p><p>- LangChain, LangGraph, embedding techniques, prompt engineering.</p><br/><p><br/></p><p>- Classical ML : XGBoost, Random Forest, time-series forecasting.</p></p> (ref:hirist.tech)