Over 10 years we help companies reach their financial and branding goals. Engitech is a values-driven technology agency dedicated.

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411 University St, Seattle, USA

engitech@oceanthemes.net

+1 -800-456-478-23

Machine Learning Engineer

We are team passionate and dedicated software developers who are committed to delivering high quality software solutions to our clients. Our company was founded in January 2022 and has quickly established itself as a trustworthy development partner to itss clients. 

We are currently seeking a highly skilled and experienced Machine Learning Engineer at mid/senior level. The successful candidate will have a strong background in computer science or a related field with a strong desire in pursuing a career in machine learning. They should have a solid understanding of machine learning concepts and techniques, as well as experience with machine learning tools and libraries

In this role, you will be responsible for designing and developing algorithms and models that enable our systems to learn from data and make predictions or decisions. This will involve working with large datasets, selecting appropriate algorithms and techniques, and implementing and testing the models. 

The ideal candidate will be a self-starter with excellent problem-solving skills and the ability to work effectively in a fast-paced, dynamic environment. They should also have strong communication skills. 

If you are passionate about machine learning and have the skills and experience we are looking for, we encourage you to apply for this exciting opportunity.

City:

Remote

Schedule:

Full Time

Experience:

3+ years

Responsibilities 

  • Write clean and testable code
  • Improve scalability, stability, and efficiency of the product
  • Improve your code’s quality by following best practices and learning from the past mistakes.
  • Be aware of the technical debt and own it. Prioritize them by discussing them with the team leader.
  • Suggests improvements to processes, tools or techniques being used.
  • Implement data pipelines and architectures to support machine learning models in production.
  • Collaborate with data scientists, engineers, and other stakeholders to understand business needs and develop solutions.
  • Research and stay up-to-date with the latest machine learning techniques and technologies.
  • Contribute to the development and improvement of machine learning infrastructure and processes within the organization.

Non-technical Qualifications

  • Be ready to comply with the pace of the team and active product development
  • Being an Agile minded team player, having good communication skills 
  • Having crisis management skills
  • Ability to adapt to flexible working hours
  • Eagerness to learn and constantly improve yourself
  • Strong analytical, problem solving, debugging and troubleshooting skills
  • Self-motivation and the ability to work independently and manage multiple tasks effectively.
  • Strong attention to detail and ability to deliver high-quality work.
  • A passion for machine learning and a desire to stay up-to-date with the latest trends and developments in the field.
  • Upper Intermediate/Advanced level English

Technical Qualifications

  • Practical knowledge about Design Patterns,Clean Code, Craftsmanship culture
  • Knowledge on RESTful API design and consumption
  • Experience in using source control systems such as Git etc.
  • Experience in architecting complex systems
  • Strong programming skills in Python, with experience in machine learning libraries and algorithms
  • Experience with cloud computing platforms, such as AWS, GCP, or Azure, and related technologies such as Kubernetes, Docker, ElasticSearch
  • Experience with data visualization tools, such as Matplotlib, Seaborn, and Plotly.
  • Experience with data management and data wrangling tools, such as Pandas and Dask.