AI Lead

AI Lead - J49850

Role & responsibilities

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 reproducibility.

Cross-Functional 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: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Experience: 6–7 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 environment.

________________________________________

Preferred 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.