Machine Learning Engineer

2 weeks ago

Westford, United States Ribbon Communications Full time

Ribbon is looking for a technically strong, energetic, highly collaborative, and passionate candidate to handle designing, developing, and implementing machine learning models to solve intricate Networking and cybersecurity problems. As part of our team, you will be responsible for turnkey software development, which includes requirements discussions, design, coding, unit/feature testing, and working closely with the system architecture and test teams across different geographies.

Responsibilities:

  • Conduct innovative research into Machine Learning and Deep Learning Neural Networks and develop optimal solutions for cybersecurity, networking, and business problems.
  • Analyze large datasets to extract meaningful patterns and insights, develop predictive models, and contribute to data-driven decision-making processes.
  • Write clean, maintainable, and performant code across various programming languages and technologies. Debug, troubleshoot, and resolve software defects and issues on time.
  • Work closely with cross-functional teams, responsible for seamlessly integrating machine learning solutions into existing and new products.
  • Keep abreast of the latest developments in machine learning technologies, such as Generative Adversarial Networks (GAN), Generative AI, Federated Learning, and Synthetic data generation, and incorporate them into Ribbon's solution to keep the competitive advantages.
  • Build MLOps pipeline as required, continuously evaluate production model performance, and refine algorithms for optimal accuracy and efficiency.

Requirements:

  • Bachelor's or Master's in Data Science, Computer Science, Software Engineering, statistics, or a related field.
  • Demonstrate proficiency in programming languages such as C/C++ and Python and hands-on experience using machine learning frameworks and Data science toolkits such as TensorFlow, PyTorch, R, NumPy, and Jupyter Notebook.
  • Protocols, such as TLS 1.3, TCP/IP, HTTP, and HTTPS, security frameworks, and cryptographic algorithms such as AES, Diffie-Hellman key exchange, and Elliptic Curve DSA, and cryptographic hashing SHA-256.
  • Possess a strong understanding of data structures, algorithms, time/Computational complexity, and statistical modeling principles.
  • Strong analytical and excellent problem-solving skills and the ability to thrive in a collaborative and high-octane environment.
  • Communicate effectively, translating complex technical findings into insights for various stakeholders.

Preferred:

  • Familiarity with virtualization, Kubernetes containers, cloud platforms (e.g., AWS, Azure), and big data technologies. Industry experience through projects in applying machine learning to real-world challenges. Knowledge of advanced statistical techniques and visualization tools.

Please Note:

'All qualified applicants will receive consideration for employment without regard to race, age, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, on the basis of disability, or other characteristic protected by applicable law.'

US Citizens and all other parties authorized to work in the US are encouraged to apply.

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