Artificial Intelligence Lead
2 days ago
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 Qualifications
- Experience 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.
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