<p><p><b>About the Role :</b><br/><br/>We are seeking an experienced AI/ML Lead to spearhead the design, development, and deployment of cutting-edge artificial intelligence and machine learning solutions.
You will work at the intersection of data science, engineering, and product, leading teams to solve complex business problems using advanced AI/ML techniques.
The ideal candidate will have a strong technical background, proven leadership skills, and the ability to drive innovation from research to production at scale.</p><p><br/></p><p><b>Key Responsibilities :</b><br/><br/><b>Strategy & Leadership :</b></p><p><p><b><br/></b></p>- Define and execute the organizations AI/ML strategy aligned with business objectives.<br/><br/></p><p>- Lead and mentor a high-performing team of ML engineers, data scientists, and researchers.<br/><br/></p><p>- Foster a culture of innovation, collaboration, and continuous learning within the AI/ML team.<br/><br/></p><p>- Evaluate emerging AI technologies and tools, recommending adoption where beneficial.<br/><br/><b>Solution Development :</b></p><p><p><b><br/></b></p>- Architect, design, and implement scalable ML systems and AI-driven applications.<br/><br/></p><p>- Oversee the full ML lifecycle: data collection, preprocessing, feature engineering, model selection, training, evaluation, and deployment.<br/><br/></p><p>- Ensure reproducibility, scalability, and maintainability of ML models in production.<br/><br/></p><p>- Drive the application of Generative AI, LLMs, Computer Vision, NLP, or other advanced techniques depending on business needs.<br/><br/><b>Collaboration & Stakeholder Management :</b></p><p><p><b><br/></b></p>- Partner with product, engineering, and business teams to translate requirements into AI/ML solutions.<br/><br/></p><p>- Communicate complex technical concepts to non-technical stakeholders effectively.<br/><br/></p><p>- Collaborate with DevOps/DataOps to ensure reliable, secure, and efficient ML pipelines and deployments.<br/><br/><b>Governance & Best Practices :</b></p><p><p><b><br/></b></p>- Establish AI/ML best practices, coding standards, and model governance frameworks.<br/><br/></p><p>- Ensure compliance with ethical AI practices, data privacy regulations (GDPR, CCPA, etc.), and security standards.<br/><br/></p><p>- Define and monitor KPIs for AI/ML initiatives, ensuring measurable business :</b></p><p><br/><b>Education :</b> Bachelors/Masters/Ph.D. in Computer Science, Data Science, AI/ML, or a related field.</p><br/><b>Experience :</b></p><p><b><br/></b>- 5+ years of experience in software/data engineering or AI/ML roles.<br/><br/></p><p>- Proven track record of deploying ML models into production at scale.<br/><br/><b>Technical Skills :</b></p><p><p><b><br/></b></p>- Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or similar ML/DL frameworks.<br/><br/></p><p>- Experience with Generative AI/LLMs (e.g., GPT, LLaMA, Hugging Face Transformers).<br/><br/></p><p>- Solid understanding of NLP, Computer Vision, or Recommendation Systems.<br/><br/></p><p>- Strong knowledge of MLOps, CI/CD for ML, and deployment frameworks (e.g., MLflow, Kubeflow, SageMaker).<br/><br/></p><p>- Proficiency with big data and cloud platforms (AWS, GCP, Azure).<br/><br/></p><p>- Hands-on expertise in SQL/NoSQL databases and distributed data systems (Spark, Hadoop, etc.).</p><br/></p> (ref:hirist.tech)