Job Description: As a Senior AI/ML Engineer at DSP you will play a pivotal role in the development and deployment of advanced machine learning models and AI solutions. You will work closely with cross-functional teams to deliver impactful AI-powered products and services. Your expertise will be instrumental in driving our AI/ML initiatives forward.Responsibilities:
Algorithm Development: Design, implement, and optimize machine learning algorithms to solve challenging business problems.
Model Training: Train and fine-tune deep learning models using large datasets, ensuring high performance and accuracy.
Data Preprocessing: Clean, preprocess, and transform raw data to prepare it for machine learning tasks.
Feature Engineering: Create meaningful features and representations to enhance model performance.
Evaluation and Validation: Develop robust evaluation strategies and validation techniques to assess model performance and generalization.
Research: Stay up-to-date with the latest advancements in AI/ML and propose innovative solutions to business challenges.
Collaboration Collaborate with cross-functional teams including data scientists, software engineers, and product managers to integrate AI/ML solutions into products and services
Qualifications:
Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field. PhD is a plus.
Proven experience (10+ years) in developing and deploying machine learning models in a production environment.
Proficiency in programming languages such as Python, and experience with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Strong knowledge of deep learning architectures and techniques.
Solid understanding of data preprocessing, feature engineering, and model evaluation.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
Excellent problem-solving skills and a strong analytical mindset.
Effective communication and collaboration skills to work with multidisciplinary teams.
Publications, patents, or contributions to the AI/ML community are a plus
