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AI Engineering Intern

Hyderabad, Telangana, India

3 weeks ago

Applicants: 0

Salary Not Disclosed

2 days left to apply

Job Description

Join Us as an AI Engineering Intern! Ready to grow your Product skills in a real-world setting? At ORBC OMM, we?re looking for a motivated AI Engineering Intern eager to learn, contribute to impactful projects, and gain hands-on experience in a fast-paced, agile environment. Turn curiosity into capability and kickstart your career with us! Why You?ll Love Working Here ORBCOMM is a global leader in industrial IoT, committed to transforming data into action across supply chain visibility industries. We?re looking for a driven and curious AI Engineering Intern to support the design, development, and deployment of AI-powered solutions across our product portfolio. This is a hands-on opportunity to work on real-world challenges using machine learning, computer vision, predictive modeling, and data engineering. What You?ll Do Build Data Lake: ingestion pipelines to Data Lake, drive Master Data Management, participate in Silver Layer Data Develop AI Models: Assist in building, training, and testing machine learning models for use in areas such as asset tracking, anomaly detection, and predictive maintenance. Work with Real-World Data: Clean, process, and analyze large datasets from IoT devices to extract meaningful insights. Collaborate Across Teams: Partner with data scientists, engineers, and product managers to integrate AI features into ORBCOMM platforms. Experiment & Innovate: Prototype solutions using a variety of AI/ML techniques and evaluate performance with structured testing. Abstraction & Anonymization algorithms development Contribute to Deployment: Help prepare models for deployment in production environments, considering performance, scalability, and reliability. Who You Are You?re an organized and curious team player, ready to learn and support a fast-paced Engineering team. If you have: Post-secondary education in progress in Computer Science, Data Science, Engineering, or related technical field. Familiarity with Python and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Understanding of basic ML concepts such as regression, classification, and model evaluation. Strong problem-solving and analytical skills. Interest in applying AI to real-world business problems across multiple industries. Exposure to Azure Data Fabric, API Gateways, PowerBI App building would be preferable. Leverage AI-enabled tools and automation to support daily tasks and productivity. Commitment to continuous learning in digital and AI literacy. Then we want to meet you! About Us At ORBCOMM, we?re pioneers in IoT technology, thatdrives innovation and empowers our clients to make data-driven decisions. Our industry-leading solutions enable customers to boost productivity, streamline operations and increase their bottom line. With over 30 years of experience and the most comprehensive solution portfolio in the industry, we enable the management of millions of assets worldwide across diverse sectors including transportation, heavy industries, satellite, and maritime. Discover how ORBCOMM is transforming industries and unlocking the potential of data to drive meaningful change by visiting us at www.orbcomm.com ! Ready to Join Us? We believe that our people are our greatest asset. Your skills and passion can help us achieve remarkable things! If you?re seeking a thrilling career opportunity in a vibrant, growth-oriented environment, ORBCOMM is the perfect fit for you. We are committed to building a diverse and inclusive workplace and appreciate all applicants for their interest in joining our team. Only candidates selected for an interview will be contacted. At ORBCOMM, we are also dedicated to ensuring accessibility and are pleased to offer accommodations for individuals with disabilities upon request throughout all aspects of the selection process.

Additional Information

Company Name
ORBCOMM
Industry
N/A
Department
N/A
Role Category
N/A
Job Role
Internship
Education
No Restriction
Job Types
On-site
Employment Types
Full-Time
Gender
No Restriction
Notice Period
Less Than 30 Days
Year of Experience
1 - Any Yrs
Job Posted On
3 weeks ago
Application Ends
2 days left to apply

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