Job Summary

Global MNC Tech is seeking a forward-thinking AI Machine Learning Specialist to drive innovation in the AgTech space. This role focuses on designing, developing, and deploying intelligent machine learning solutions that enhance agricultural productivity, sustainability, and data-driven decision-making. The ideal candidate will combine strong technical expertise with a passion for applying AI to real-world agricultural challenges in a fully remote, collaborative environment.

Key Responsibilities

• Design, build, and optimize machine learning and deep learning models for agricultural applications.

• Analyze large-scale agricultural, environmental, and sensor datasets to generate actionable insights.

• Develop predictive models for crop yield, disease detection, weather impact, and resource optimization.

• Collaborate with cross-functional teams including product managers, agronomists, and software engineers.

• Deploy and monitor ML models in production environments using MLOps best practices.

• Continuously evaluate model performance and implement improvements.

• Research and integrate emerging AI technologies relevant to AgTech innovation.

• Document methodologies, experiments, and technical workflows clearly.

Required Skills and Qualifications

• Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related field.

• Strong proficiency in Python and common ML libraries (TensorFlow, PyTorch, Scikit-learn).

• Solid understanding of machine learning, deep learning, and statistical modeling techniques.

• Experience with data preprocessing, feature engineering, and model evaluation.

• Familiarity with cloud platforms (AWS, Azure, or GCP).

• Experience working with large datasets and data pipelines.

• Strong problem-solving and analytical thinking skills.

• Excellent written and verbal communication in English.

Experience

• 3–6 years of hands-on experience in machine learning or AI development.

• Prior experience in AgTech, climate tech, geospatial analytics, or IoT data is highly preferred.

• Proven track record of deploying ML models into production environments.

• Experience in remote or distributed team environments is a plus.

Working Hours

• Fully remote position.

• Flexible working hours with expected overlap for global team collaboration.

• Occasional availability for cross-time-zone meetings may be required.

Knowledge, Skills, and Abilities

• Strong understanding of supervised and unsupervised learning methods.

• Knowledge of computer vision or time-series forecasting is advantageous.

• Familiarity with MLOps tools such as Docker, Kubernetes, or MLflow.

• Ability to translate business problems into scalable AI solutions.

• Strong attention to detail and commitment to high-quality deliverables.

• Self-motivated with the ability to work independently in a remote setup.

• Curiosity and passion for sustainable agriculture and technology innovation.

Benefits

• Competitive salary and performance-based incentives.

• Fully remote work flexibility.

• Health and wellness benefits package.

• Professional development and AI training opportunities.

• Access to cutting-edge AgTech projects and datasets.

• Collaborative and innovation-driven culture.

• Paid time off and global holidays.

Why Join Global MNC Tech

At Global MNC Tech, you will be part of a mission-driven team transforming agriculture through advanced AI solutions. We empower our employees with autonomy, cutting-edge tools, and opportunities to work on meaningful global challenges. If you are passionate about leveraging machine learning to create sustainable impact, this is the place to grow your career.

How to Apply

Interested candidates should submit their updated resume, portfolio/GitHub (if available), and a brief cover letter highlighting relevant AI and machine learning experience. Qualified applicants will be contacted for the next steps in the selection process.