Machine Learning Engineer

Machine Learning Engineer (Image Handling)

We are looking for a skilled Machine Learning Engineer with a strong background in image handling to join our AI team. In this role, you will play a crucial part in developing and optimizing machine learning models that involve image data. You will collaborate with cross-functional teams to build and deploy state-of-the-art computer vision applications that drive our mission to revolutionize various industries.

Responsibilities:

• Design and implement machine learning algorithms and models for image processing and analysis.
• Develop, train, and optimize deep learning models for computer vision tasks.
• Preprocess and augment image data for model training and validation.
• Collaborate with software engineers to integrate machine learning models into production systems.
• Stay up-to-date with the latest advancements in computer vision and image processing techniques.
• Troubleshoot and fine-tune existing models to improve accuracy and efficiency.
• Participate in code reviews and provide mentorship to junior team members.
• Maintain documentation of machine learning processes and results.

Qualifications:

• Master’s, or Ph.D. in Computer Science, AI, Machine Learning, Computer Vision, Electronics, or a related field.
• Proven experience in developing machine learning models for image handling tasks.
• Strong programming skills in languages like Python, TensorFlow, PyTorch, or similar.
• Knowledge of image preprocessing techniques and data augmentation.
• Familiarity with computer vision libraries and frameworks.
• Experience with deploying machine learning models in production environments is a plus.
• Excellent problem-solving and communication skills.
• Ability to work collaboratively in a fast-paced, interdisciplinary team.

Benefits:

• Market Competitive salary and performance-based bonuses.
• Bi-annual Salary increments.
• Opportunity to work on cutting-edge projects with a talented and diverse team.
• Company Sponsored Professional development and training opportunities.
• A collaborative and innovative work culture.
• Health and fitness allowance.
• Fuel allowance.
• Free Hostel Facility.
• Company-Sponsored Sports and Adventure Activities.