ML Field Intern

• load_list_page(event)> Job listing
• Job details
  

Job Information

• Job Opening ID ZR_23_JOB
• Department Name Machine Learning
• Target Date 03/31/2026
• Number of Positions 3
• Job Opening Status In-progress
• Date Opened 02/25/2026
• Industry Technology
• Job Type Any
• Required Skills
• deleteCurrentSkillOnBackspace(event)> machine learning
• deleteCurrentSkillOnBackspace(event)> microsoft excel
• openCompetencySkills()>+21

• Work Experience 0-1 year
• Created Time 02/25/2026 10:51
• City Pune
• State/Province Maharashtra
• Country India
• Zip/Postal Code 411019
  

About Us
ERIC Robotics, a Premier Seals India initiative to form a dynamic Indian research and development organization is leading the charge in revolutionizing industrial inspection and monitoring through robotics. Our expertise lies in designing and developing next-generation autonomous mobile robots and drones, intended to push the boundaries of innovation across markets.

Role Overview
We are looking for a logically-minded ML Field Intern to bridge the gap between our field trials and our machine learning models. You will be responsible for the full data cycle: capturing data on-site, processing that data through our ML models, and systematically logging the performance results. This role requires a decent level of software comfort and a strong ability to organize technical information.
Key Responsibilities

• On-Site Data Acquisition: Attend trials to capture raw data (images, sensor logs, etc.) and ensure the quality of the data collection process.

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• ML Model Execution: Run our existing machine learning models using the collected trial data. You will be responsible for setting up the environment, feeding the data, and triggering the inference process.
• Technical Data Logging: Extract the outputs from the ML models and meticulously log the results into Excel/Google Sheets. You will track success rates, false positives, and specific logic errors.
• Trial Performance Reporting: Create concise summaries of how the model performed on-site compared to expectations, identifying specific scenarios where the logic needs improvement.
• Data Annotation: Label and prepare new datasets to help improve the models accuracy based on what you observed during trials.
  

Required Skills & Qualifications

• Software Competency: You must be comfortable with running software (e.g., using a terminal/command prompt, managing file paths, and following technical SOPs).
• Logical Analysis: Ability to look at model outputs and identify if the result makes sense based on the physical trial conditions.
• Excel Proficiency: Strong skills in data entry and organization. You should be comfortable with formulas, filters, and structured logging in Excel.
• Attention to Detail: Meticulous about data integrity. You understand that a single wrong entry in a log sheet can ruin a month of research.
  

Preferred Skills

• Familiarity with Linux or basic Python commands.
• Experience in an industry involving hardware/software integration (e.g., Robotics, IoT, or Computer Vision).
• Previous experience in data-heavy roles or technical documentation.
  

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