Senior Machine Learning Engineer, Auckland

ZEIL

Senior Machine Learning Engineer

  • Posted 2w ago
  • On Site
  • Full Time
Location

Auckland


Salary

$130  -  $160 k/yr


Job Description

ZEIL is on a mission to become New Zealand’s most loved job marketplace and to do that we need incredible talent. Talent that’s driven by a shared desire of becoming the best and working with the best.

We embrace the rich diversity of Aotearoa, building teams that reflect varied cultures and backgrounds. As helpful disruptors, we celebrate progress and advocate for the success of our members. At ZEIL, we value new perspectives and believe in making a meaningful impact. If you’re passionate about growth and inclusivity, we encourage you to join our journey.

Mō Te Tūranga - About The Role

Join ZEIL and become a key player in reshaping the future of recruitment technology. We’re on the hunt for a Senior Machine Learning Engineer who thrives on innovation and solving complex problems. This is your opportunity to be an integral part of a dynamic environment where your contributions will transform how businesses discover and connect with top talent. If you are passionate about building scalable AI solutions, exploring cutting-edge technologies, and driving impact through intelligent automation, we want to hear from you!

What You’ll Do

  • Lead machine learning projects from concept through deployment, ensuring timely delivery and alignment with business goals.
  • Design, build, and implement machine learning models that solve business challenges and optimise recruitment workflows.
  • Conduct research to identify new AI/ML technologies and integrate them into ZEIL’s platform.
  • Partner with data scientists, engineers, and product managers to deliver seamless, AI-driven features.
  • Lead the preprocessing and preparation of data to ensure high-quality model inputs.
  • Continuously refine models to improve accuracy, efficiency, and scalability.
  • Establish and manage pipelines for model training, deployment, and monitoring.
  • Provide guidance and mentorship to junior engineers, fostering a culture of learning and excellence.


Key Requirements

  • Eligible to work in New Zealand.
  • Bachelor’s Degree in Computer Science, Data Science, or a related field; a Master’s or PhD is preferred.
  • 5+ years of experience in machine learning or artificial intelligence roles.
  • Proficiency in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience deploying models in production environments, preferably on cloud platforms like AWS, Azure, or GCP.
  • Experience with LangChain and LlamaIndex frameworks.
  • Familiarity with vector databases such as Milvus and Pinecone.
  • Strong understanding of algorithms, data structures, and distributed systems.
  • Excellent communication skills and the ability to work in a collaborative environment.


Beneficial Skills/Experience

  • Experience with MLOps tools and practices.
  • Knowledge of natural language processing (NLP) or computer vision.
  • Familiarity with big data technologies (e.g., Apache Spark, Hadoop).
  • Background in developing AI-driven SaaS solutions.
  • Exposure to the recruitment or HR tech space.


Personal Attributes:

  • Big Thinker, Small Starter: You dream big but execute incrementally, seeing every challenge as a learning opportunity.
  • Change Maker: Focused on creating impactful, community-driven work that matters.
  • Commitment to Excellence: You go the extra mile and believe in finishing the job to the highest standards.
  • Detail-Oriented: You focus on small daily improvements, recognising their long-term impact.
  • Supportive Collaborator: Open, candid, and constructive, fostering growth in others.
  • Efficiency-Minded: You find ways to work smarter and achieve more with less.
  • Leadership by Ownership: You take responsibility, embody company values, and help develop future leaders.
  • Take the next step in your career with the opportunity to lead and innovate in a high-impact, fast-paced environment. We look forward to hearing from you!

Hard Skills Required

  • Active Learning

Soft Skills Required

  • Time Management
  • Teamwork
  • Interpersonal Skills
  • Communication

Benefits and Perks

  • 🍔
    Free Food
    Weekly snacks and birthday cakes provided

Job Schedule

  • Monday to Friday

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