Senior Software Engineer (Machine Learning and Computer Vision)

Key Responsibilities:

Technical Skills:

• Develop machine learning models and algorithms using Python and libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, and Keras.
• Implement computer vision solutions for tasks including object detection, classification, segmentation, and image generation using OpenCV and other relevant tools.
• Design and develop web-based applications and APIs for model deployment and integration using frameworks such as Ray Serve, Flask, and Django Rest API.
• Perform data analysis and manipulation using libraries such as NumPy, Pandas, and SciPy to preprocess and prepare data for machine learning tasks.
• Containerize and deploy machine learning models and applications using Docker and frameworks like Ray Serve for efficient and scalable deployment.
• Utilize cloud platforms such as Azure, AWS, and Databricks for data storage, computation, and deployment of machine learning solutions.

Soft Skills:

• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Strong problem-solving abilities and a proactive approach to addressing technical challenges.
• Adaptability to evolving technologies and a passion for learning and innovation.
• Attention to detail and a commitment to delivering high-quality software solutions.
• Ability to prioritize tasks and manage time efficiently in a fast-paced environment.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Minimum of 5 years of experience in software development, with a focus on machine learning and computer vision.
• Proficiency in programming languages including Python, C++, and JavaScript.
• Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Experience with computer vision techniques and libraries such as OpenCV.
• Familiarity with web frameworks like Flask and Django for building web-based applications and APIs.
• Knowledge of data analysis tools and libraries such as NumPy, Pandas, and SciPy.
• Experience with containerization tools like Docker and deployment frameworks such as Ray Serve.
• Familiarity with cloud platforms such as Azure, AWS, and Databricks for data storage and computation.

Benefits:

• Competitive salary package with performance-based bonuses.
• Comprehensive health benefits including medical, dental, and vision coverage.
• Flexible working hours with shifts starting from 2 pm to 11 pm, Monday through Friday.
• Opportunities for professional development and advancement within the company.
• A collaborative and innovative work culture that encourages creativity and teamwork.

Join Our Team: If you are passionate about machine learning, computer vision, and software development, and thrive in a dynamic and collaborative environment, we want to hear from you! Apply now