ML Engineering Placement Drive

We are excited to announce our Machine Learning Engineering Placement Drive, aimed at identifying skilled and motivated engineers who are passionate about building real-world AI systems. This drive offers an opportunity to work with fast-growing startups and product companies applying computer vision to solve meaningful business and industry problems.

As a Machine Learning Engineer (Computer Vision), you will work on designing, training, evaluating, and deploying vision-based models. You will collaborate with data scientists, backend engineers, and product teams to translate research into scalable, production-ready AI solutions while following strong engineering and ML best practices.

Job Description & Desired Skills

Core Technical Skills

• Strong fundamentals in machine learning, linear algebra, probability, and statistics

• Solid programming proficiency in Python (mandatory); familiarity with C++ is a plus

• Hands-on experience with computer vision techniques such as:

  • Image classification, object detection, segmentation, and tracking

  • Feature extraction, image preprocessing, and augmentation

• Practical experience with deep learning frameworks:

  • TensorFlow / PyTorch

  • OpenCV, torchvision, or similar CV libraries

• Experience working with CNN architectures (ResNet, EfficientNet, YOLO, SSD, Faster R-CNN, U-Net, etc.)

• Understanding of model evaluation metrics for vision tasks (mAP, IoU, precision–recall, F1, etc.)

Engineering & Deployment Skills

• Familiarity with model training pipelines, data versioning, and experiment tracking

• Understanding of ML model deployment concepts (APIs, batch inference, real-time inference)

• Exposure to cloud platforms (AWS, GCP, Azure) or edge deployment is a plus

• Experience with Git, reproducible workflows, and basic MLOps practices

• Knowledge of software development life cycle and agile execution

Potential Clients & Projects

• Building computer vision systems for:

  • Facial recognition, OCR, document processing

  • Video analytics, surveillance, and tracking systems

  • Quality inspection and defect detection

  • Medical imaging and diagnostics

  • Retail, logistics, and autonomous systems

• Working on AI-powered products used by real customers

• Exposure to clients across domains such as fintech, healthcare, manufacturing, retail, mobility, and SaaS
  
  

Who Will Be a Good Match

• Who Will Be a Good Match

  • Candidates with a strong interest in applied AI, ML and computer vision

  • Final-year students, recent graduates, or early-career professionals in Computer Science, AI/ML, Data Science, or related fields

  • Individuals who enjoy experimenting, iterating, and improving model performance

  • Engineers who can bridge research thinking with production execution

  • Team players with strong problem-solving ability and a willingness to learn fast
    
    

Join us to kick-start or accelerate your software engineering career and be part of projects that make a real impact.