AI/ML Engineer

The Role

Reporting to the VP of Advanced Software Engineering, the AI/ML Software Engineer will be responsible for the development and deployment of models and web applications used in the delivery of Megaport’s Network as a Service (NaaS) product suite. The engineer will work closely with multiple internal teams to produce cutting-edge products powered by machine learning. Services include forecasting, anomaly detection and recommendation engines. The environment is fast-paced and fun, working alongside an amazing team.

What You’ll Be Doing

• Collaborate with product managers, developers, and partners to determine and refine ai/ml objectives across the product portfolio.

• Interact with internal, and third-party, APIs to consume data (ex: AWS, Azure, GCP, Oracle, IBM).

• Sanitize, structure and store data from multiple sources (ex: MongoDB, Apache Spark, SQL).

• Develop algorithms and models to automate predictions, recommendations and conduct reinforcement learning to improve accuracy (ex: Python, Nvidia CUDA, Nvidia Merlin).

• Experience with version control platforms and CI/CD pipelines (ex: GitLab, GitHub, Bitbucket).

What We Are Looking For

• Minimum one year experience as a machine learning engineer.

• Expert in Python programming.

• Time series forecasting, ideally with both traditional methods like SARIMAX and more modern approaches like Prophet or Deep Learning.

• Evaluating machine learning models and hyperparameter tuning.

• Experience designing REST APIs.

• Knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.

• Excellent analytical and problem-solving abilities.

• Excellent communication and collaboration skills.

The following skills are not mandatory but are considered a strong plus:

• Experience using the below technologies:

  • Docker and Kubernetes

  • Python data visualization tools like Streamlit (ideally) or Dash, Matplotlib, etc.

  • Protobuf and GRPC

  • Google Cloud

  • Golang programming

  • MongoDB

• Experience with network service providers or data center operators.

• Experience with network architecture, design, planning, or protocols.

• Familiarity with software-defined networking concepts.

• Familiarity with cloud networking and virtual private clouds.

What We Offer

• Flexible working environments

• Birthday Leave

• Generous study and training allowance + 5 days of paid study leave

• Creative, fun, and contemporary workspaces

• Motivated team of industry experts and new talent

• Celebrated success with ‘Legend’ and ‘Kudos’ Awards

• Health and wellness program

• Opportunities for career growth and potential for global intra-company transfers for interested candidates

If you have any questions, please reach out to Megaport's Talent Acquisition Team at Careers@megaport.com

All applications will be treated in confidence.
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Candidates who meet the selection criteria will be invited to attend an interview
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