Machine Learning Engineer

4 days ago

Muscat, Muscat, Oman PhazeRo Full time

About PhazeRo

At PhazeRo, we are paving the way for businesses to harness the transformative power of data. As a leading data science consultancy, we provide innovative solutions that drive measurable results across numerous industries, including (Renewable) Energy, Finance, Telecoms and BioAI. Our team thrives on creativity and technical excellence, and we are dedicated to fostering an inclusive and collaborative work environment.

Position Overview

We are looking for a skilled Machine Learning Engineer to join our talented team. In this role, you will design, implement, and optimize machine learning models that address complex business challenges. You will work closely with data scientists, software engineers, and product managers to integrate machine learning solutions into our existing systems and create scalable architectures. Your contributions will help enhance our products and drive data-informed decisions across the organization.

Key Responsibilities

  1. Develop scalable machine learning models and algorithms to solve specific business problems
  2. Work collaboratively with cross-functional teams to gather requirements and identify opportunities for machine learning applications
  3. Implement and optimize model deployment pipelines for production environments
  4. Evaluate model performance and iterate on designs to enhance accuracy and efficiency
  5. Research and stay current with the latest advancements in machine learning and artificial intelligence
  6. Document processes and communicate results effectively to stakeholders

Requirements

  1. Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  2. 2+ years of experience in machine learning, data science, or related roles
  3. Strong proficiency in programming languages such as Python or Java, with deep familiarity with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
  4. Solid understanding of data pipelines, ETL processes, and big data technologies (e.g., Spark, Hadoop)
  5. Experience in model evaluation metrics and techniques for model validation
  6. Strong problem-solving skills and the ability to work independently
  7. Excellent communication skills and a collaborative approach to work
  8. Passion for machine learning and eagerness to stay updated with industry trends

Benefits

  1. An honest, entrepreneurial, collaborative, high performance culture
  2. Infinite opportunities to learn from industry veterans.
  3. Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
  4. A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure
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