Senior Machine Learning Engineer
As a seasoned machine learning engineer, you will play a pivotal role in designing and deploying scalable artificial intelligence models to drive business outcomes.
Key Responsibilities:
* Design and develop sophisticated machine learning models using Python and leading libraries such as TensorFlow and PyTorch.
* Collaborate with cross-functional teams to implement model-driven solutions that meet organizational goals.
* Develop and maintain high-quality software code, adhering to industry best practices and coding standards.
* Stay up-to-date with emerging trends and advancements in machine learning, incorporating new techniques into production environments.
Requirements:
* At least 5 years of experience in machine learning engineering, data science, or applied AI roles.
* Proven expertise in Python programming and popular ML libraries (TensorFlow, PyTorch, scikit-learn).
* A strong foundation in computer science fundamentals, including algorithms, data structures, and software design principles.
* Familiarity with DevOps tools and cloud platforms (AWS SageMaker, GCP Vertex AI, MLflow, Docker/Kubernetes).
* Track record of successfully deploying AI models into production environments.
Desirable Skills:
* Experience with large language models, deep learning, or natural language processing systems.
* Familiarity with big data technologies (Apache Spark, Hadoop).