Fisheries Research Analyst AI & Computer Vision

Fisheries Research Analyst AI & Computer Vision
Colour grading of the species for quantifying freshness

Location: India / Remote
Employment Type: Full-Time
Experience: 5-8 Years
Domain: Fisheries | Aquaculture | Marine & Inland Fisheries
Open to Travel: Yes, as required

About the Role

Wisewit Solutions is looking for a Fisheries Research Analyst AI & Computer Vision to bridge the gap between fisheries domain expertise and AI technology.

The role will involve researching fisheries and aquaculture processes, understanding real-world field challenges, collecting and validating domain data, and working closely with AI/ML and Computer Vision teams to develop practical technology solutions.

The ideal candidate will have a strong understanding of fish/aquaculture species, farming, seafood processing plants, production lines, exports, and fisheries terminology, along with an interest in AI, data and emerging technologies.

Key Responsibilities

Fisheries Domain Research

• Research Indian marine, inland fisheries and aquaculture practices.
• Study fish and shrimp species, production processes, farming practices and harvesting operations.
• Understand fish health, disease indicators, feed, water quality and environmental parameters.
• Research fisheries value chains, landing centres, farms, processing units and field operations.
• Identify operational challenges that can potentially be addressed using AI and automation.

AI & Computer Vision Research

• You will work with AI/ML and Computer Vision teams to translate fisheries requirements into technical inputs.
• Identify suitable use cases for image-based identification, classification, detection and monitoring.
• Help define fish/species categories, attributes, visual characteristics and domain-specific classifications.
• Assist in developing guidelines for image and video data collection.
• Review and validate AI-generated outputs from a fisheries-domain perspective.
• Identify false positives, false negatives and domain-specific errors in AI models.
• Support creation and validation of datasets for Computer Vision and Machine Learning projects.

Data & Dataset Development

• Collect fisheries-related data from research papers, government sources, field studies and industry sources.
• Organise and clean structured and unstructured datasets.
• Support image/video dataset creation and annotation activities.
• Develop domain-specific taxonomies, labels, metadata and reference datasets.
• Verify the accuracy and consistency of annotated data.
• Maintain documentation and version-controlled research references.

Field Research & Validation

• Conduct field visits to farms, hatcheries, fishing locations, landing centres and processing facilities.
• Interact with fishermen, farmers, aquaculture professionals and other domain experts.
• Document actual field processes and operational challenges.
• Collect images, videos, observations and other relevant field data.
• Validate whether AI solutions work effectively under real-world conditions.

Research & Documentation

• Conduct literature reviews and analyse scientific publications.
• Track developments in fisheries technology, AI applications and aquaculture.
• Prepare research reports, use-case documents and domain briefs.
• Create clear documentation for technical and non-technical stakeholders.
• Present research findings to AI, engineering and business teams.

AI Use Cases You May Work On

Depending on the project, the role may contribute to areas such as:

• Fish and shrimp species identification
• Fish size/length estimation
• Fish counting and biomass estimation
• Fish quality assessment
• Disease or abnormality detection
• Aquaculture pond monitoring
• Fish grading and sorting
• Fish catch classification
• Image/video-based fisheries monitoring
• Farm productivity analysis
• Fisheries supply-chain intelligence
• Computer Vision-based inspection systems

Required Qualifications

• Bachelors or Masters degree in Fisheries Science, Aquaculture, Marine Biology, Zoology, Aquatic Sciences or a related field.
• 15 years of experience in fisheries, aquaculture, fisheries research, field research or a related domain.
• Strong understanding of Indian fisheries/aquaculture practices.
• Good research, analytical and documentation skills.
• Strong Excel/Google Sheets skills.
• Ability to interpret scientific papers, research reports and technical information.
• Good communication skills and ability to work with multidisciplinary teams.

Good to Have

• Exposure to AI/ML, Computer Vision or Data Science.
• Experience with image/video data collection or annotation.
• Knowledge of Python, SQL, Power BI or similar analytical tools.
• Familiarity with GIS/geospatial data.
• Experience working with fisheries datasets.
• Knowledge of fish/shrimp species identification.
• Experience conducting field surveys or stakeholder interviews.
• Understanding of AI model evaluation or dataset validation.

Who Would Be a Good Fit?

We are looking for someone who can say:

I understand fisheries, I understand the problem in the field, and I can explain that problem clearly enough for an AI/engineering team to build a solution.”

You don’t need to be an AI engineer. However, you should be curious about AI and comfortable working closely with technical teams.

Key Skills

Fisheries Domain | Aquaculture | Research | Data Analysis | Field Research | Dataset Validation | Computer Vision | AI Use Cases | Documentation | Stakeholder Interaction

Travel

This role may require travel to aquaculture farms, fishing locations, landing centres, processing facilities, research institutions and client locations across India.

Candidates should be comfortable with travel as required by project requirements.