We are seeking a skilled and experienced Machine Learning Engineer specialized in Natural Language Processing (NLP) and Computer Vision to join our team. The ideal candidate should have a strong foundation in ML and AI principles coupled with a proven track record of developing and deploying a minimum of 20 models in these domains.
Responsibilities:
- Develop and implement state-of-the-art machine learning algorithms and models for NLP and computer vision applications.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Conduct thorough data analysis pre-processing and feature engineering to extract meaningful insights from structured and unstructured data.
- Design and implement scalable and efficient machine learning pipelines for training evaluation and inference.
- Experiment with various deep learning architectures hyperparameters and optimization techniques to improve model performance.
- Stay updated with the latest advancements in ML and AI research and evaluate their potential applications in our domain.
- Work closely with software engineers to integrate ML models into production systems and ensure their robustness and scalability.
- Perform rigorous testing and validation of models to ensure their accuracy reliability and generalization capability.
- Continuously monitor and maintain deployed models and implement necessary updates and enhancements as required.
- Document code methodologies and findings effectively and contribute to internal knowledge sharing initiatives.
Qualifications :
- Bachelors/Masters/Ph.D. degree in Computer Science Engineering Mathematics or a related field.
- Strong theoretical understanding of machine learning algorithms deep learning frameworks and statistical modeling techniques.
- Proficiency in programming languages such as Python along with experience in popular ML libraries such as TensorFlow PyTorch or scikit-learn.
- Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks with a demonstrable portfolio of projects.
- Solid understanding of natural language processing techniques including text classification sentiment analysis named entity recognition etc.
- Familiarity with computer vision concepts such as image classification object detection image segmentation etc. and experience with frameworks like OpenCV or TensorFlow.
- Experience with cloud platforms (e.g. AWS Azure Google Cloud) and containerization technologies (e.g. Docker Kubernetes) is a plus.
- Excellent problem-solving skills attention to detail and ability to work independently as well as part of a team.
- Strong communication and interpersonal skills with the ability to effectively collaborate with stakeholders across different functional areas.
- Join us in revolutionizing the way Sutherland harnesses the power of machine learning and artificial intelligence to drive innovation and create impactful solutions.
- If you are passionate about pushing the boundaries of whats possible with AI and want to make a meaningful contribution wed love to hear from you!
Remote Work :
No
Employment Type :
Full-time