- 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.
Job Description
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.
- 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 model's 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.
check(event) ; career-website-detail-template-2 => apply(record.id,meta) mousedown=lyte-button => check(event) final-style=background-color:#3A4FFC;border-color:#3A4FFC;color:white; final-class=lyte-button lyteBackgroundColorBtn lyteSuccess lyte-rendered=>
