Description : AI Lead
Location : Pune, India
Experience : 6 to 7 YOE
Department : AI / ML, Engineering
Role Overview
We are seeking a highly skilled and motivated AI Lead with 68 years of experience to drive the design, development, and delivery of cutting-edge AI solutions in the agricultural technology domain. The ideal candidate will be hands-on with coding, passionate about building scalable AI systems, and capable of standardizing ML pipelines and practices across the organization. You will play a pivotal role in shaping our AI product roadmap, ensuring quality, reliability, and innovation in every model we build.
Key Responsibilities
AI Product Leadership :
- Lead the design, development, and deployment of AI / ML models powering core AgroTech solutions such as crop analytics, farm intelligence, environmental risk scoring, and geospatial predictions.
Pipeline & Standards Development :
Define and standardize the AI / ML lifecycle - from data ingestion, preprocessing, model training, validation, and deployment to monitoring and retraining.Hands-on Development :
Write clean, modular, and efficient code for data processing, model development, and productionization using modern frameworks and tools.Data Strategy & Quality :
Work closely with Data Engineering and GIS teams to ensure data integrity, quality, and readiness for machine learning applications.Model Optimization & Evaluation :
Establish model performance metrics, continuous evaluation pipelines, and processes for explainability, fairness, and Collaboration :Partner with product managers, agronomists, and software engineers to translate domain problems into AI-driven solutions.Technical Mentorship :
Guide and mentor a small team of data scientists and ML engineers, fostering a culture of innovation, experimentation, and high-quality delivery.Research & Innovation :
Stay updated with the latest trends in AI / ML, remote sensing, and AgriTech, evaluating new methods for potential integration into our ecosystem.Required Qualifications
Education : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.
Experience : 67 years of proven experience in AI / ML model development and deployment, with at least 2 years in a lead or senior individual contributor role.
Technical Skills :
Strong proficiency in Python and AI / ML frameworks (TensorFlow, PyTorch, Scikit-learn).Experience with data engineering and MLOps tools (Airflow, MLflow, Kubeflow, or similar).Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).Strong understanding of data pipelines, feature engineering, and model optimization.Familiarity with remote sensing / geospatial data (e.g., satellite imagery, raster / vector data) is a strong plus.Soft Skills :
Strong analytical and problem-solving mindset.Excellent communication skills and ability to collaborate with multi-disciplinary teams.Proactive, ownership-driven, and capable of working in a startup QualificationsExperience in AgriTech, ClimateTech, or Environmental AI domains.Exposure to computer vision, remote sensing analytics, or time-series modeling.Prior experience in setting up AI standards or frameworks within a startup or product organization.(ref : hirist.tech)