AI Engineer -Computer Vision & Deep Learning

Position: AI Engineer Computer Vision & Deep Learning

Location:

Work From Office Hyderabad

Hiring an AI Engineer having 5+ years of hands-on experience in AI, Machine Learning, and Computer Vision technologies. InovarTech is a dynamic and innovative IT service and consulting company dedicated to providing cutting-edge solutions to our clients. With a focus on excellence, collaboration, and continuous improvement, we are committed to delivering superior results and fostering a positive and inclusive work environment.

We are seeking a skilled AI Engineer with 5+ years of expertise in Computer Vision and Deep Learning. The ideal candidate will have a strong track record of building innovative, production-ready AI solutions. Proficiency in developing robust ML models and applying modern AI frameworks is essential.

Responsibilities:

Strong hands-on experience in Python programming.

Proven expertise with PyTorch and TensorFlow frameworks.

Experience working with NumPy, Pandas, and OpenCV libraries.

Solid understanding and hands-on experience in Computer Vision and Image Processing (SIFT, SURF).

Expertise in designing and implementing Neural Networks, including CNN architectures such as ResNet, YOLO, or VGG.

Proficiency in RNN, RCNN, LSTM, or GRU models for sequence-based data.

Experience in Video Analysis techniques and solutions.

Ability to preprocess, clean, and manipulate large volumes of unstructured image/video data.

Experience in training, fine-tuning, and deploying deep learning models.

Understanding of model evaluation, hyperparameter tuning, and optimization techniques.

Excellent problem-solving skills and ability to translate business problems into AI/ML solutions.

Familiarity with cloud platforms and deployment of AI models will be a plus. Strong communication and presentation skills.

Ability to collaborate and drive discussions with internal teams and clients. Requirements:

Hands-on experience in building and deploying AI/ML solutions.

Experience with Computer Vision tasks such as object detection, classification, segmentation, and tracking.

Proficiency in model optimization for real-time applications.

Good understanding of Machine Learning lifecycle and MLOps.

Ability to write clean, modular, and scalable code.

Should be willing to learn and adopt new AI technologies as per project needs.

Experience supporting global clients/working with international teams is a plus.

Should be willing to travel abroad based on customer requirements.

Ability to mentor junior members in the team.