The role involves developing MLOps frameworks, deploying machine learning models, monitoring performance, and collaborating across teams for continuous improvement in agricultural research contexts.
1. MLOps Framework Development and
Pipeline Automation
- Design and implement CI/CD pipelines
and scalable MLOps frameworks.
- Develop and maintain data, training,
and deployment pipelines ensuring reproducibility and efficiency.
2. Model Deployment, Monitoring, and Performance
Optimization
- Deploy machine learning models into
production and ensure reliable performance.
- Implement monitoring, logging, and
alerting systems to track model accuracy and drift.
3. Image-Based AI and Digital Phenotyping Solutions
- Support development and deployment of
image recognition models using drone and mobile imagery.
- Utilize tools such as Roboflow and
Databricks for image-based workflows and scalable ML operations.
4. Collaboration and Cross-Institutional Integration
- Work with CGIAR partners (e.g.,
ICRISAT, IITA) and internal teams to harmonize MLOps practices.
- Facilitate knowledge sharing and
integration across multidisciplinary teams.
5. Governance, Capacity Building, and Continuous Improvement
- Ensure compliance with data
governance, security, and privacy standards.
- Provide training and promote adoption
of best practices while integrating emerging MLOps.
Requirements
- Bachelor’s degree in Computer Science,
Data Science, Artificial Intelligence, Software Engineering, Agricultural
Informatics, or a related quantitative field.
- Minimum 1–3 years of relevant
experience in machine learning, data science, or MLOps environments.
- Demonstrated understanding of machine
learning workflows, including data preprocessing, model training, evaluation,
deployment, and monitoring.
- Experience
working with machine learning models, deep learning frameworks, and Large
Language Models (LLMs) in research or production settings.
- Experience working within
international research organizations, CGIAR centers, or agricultural research
projects will be an added advantage.
Similar Jobs
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead end-to-end delivery of 5G/4G Core and cloud solutions across multi-vendor, multi-country engagements. Own program governance, risk mitigation, change management, financials, stakeholder management, and team development while optimizing delivery processes and enabling business growth.
Top Skills:
4G Core5GCloudConfluenceContainersDual Mode CoreEpgIms VolteIotJIRAMmePacket CorePccPcgSapcSharepointUdmVirtualization
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
The Group Legal Counsel will provide strategic legal support, lead negotiations on contracts, advise on governance and compliance issues, and build relationships across teams.
Healthtech
The Clinical Operations Senior Manager oversees air Med Transport operations, ensuring compliance, efficient patient care, staff management, and fiscal responsibility while promoting best practices in clinical operations.
Top Skills:
Air Medical TransportCritical Care Best Practices
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
