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