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Senior Machine Learning Engineer

unlimited holidays - extra holidays - extra parental leave - long remote period allowed
Remote: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
Greece

Offer summary

Qualifications:

MSc in relevant field, 5+ years ML experience.

Key responsabilities:

  • Develop ML algorithms and infrastructure
  • Statistical modeling, data analytics, deep learning
DeepLab logo
DeepLab Startup https://www.deeplab.ai/
11 - 50 Employees
About DeepLab
DeepLab is a pioneering technological company. It design and develop production grade scalable ML infrastructure and algorithmic solutions employing state-of-the-art Machine Learning. We work with large scale products that serve billions of users producing big data (e.g. >1B requests per day). We design and develop scalable cutting-edge ML algorithms and infrastructure pipelines for fast and easy ML research and experimentation, model tracking, orchestration, computing resources allocation, CI/CD workflows, model deployment and performance monitoring. In our algorithmic backbone we employ deep learning together with our wide experience towards bringing clear competitive advantage to your product. We build innovative AI powered solutions in areas such as recommender systems, early stages in drug development e.g. in-silico virtual screening, single-cell multiomics data integration, cyber security, fraud detection and prevention, pricing optimization, automotive driver behavior modeling and stock market price modeling and forecasting. Our vision is to bring to the public custom hi-tech intelligent solutions which deal with real practical problems across interdisciplinary domains and application areas. Our services are coupled with the knowledge of experts and the dreams of enthusiasts across any area that can benefit by machine learning and high-tech sensors and interfaces. To name but a few, such areas could span a great deal of cases such as: daily life, education, business, art, entertainment, healthcare and assistive living. In these, deeplab can offer customized solutions adapted to the specific needs providing new perspectives.
See more DeepLab offers

Job description

Deeplab combines high-end software technologies with state-of-the-art machine learning and data science research to provide services and products to deal with challenging real-life problems. This is a chance for you to join a dynamic, rapidly evolving ML/AI organization committed to research, innovation and excellence with a culture that bridges the gap between academic rigor and entrepreneurial agility. We foster an environment where the methodical, research-driven pursuit of knowledge meets innovative, fast-paced decision-making. This synergy fuels our pursuit of excellence and innovation in practical real-life problems.

The Team

We are currently expanding our Recommender Systems team, part of an international research and development partnership with a world-leading AdTech platform. Our team deals with disruptive projects from ideation to productization, combining innovative ML concepts with cutting-edge production technologies, within a system that serves millions daily users. You will be joining an interdisciplinary team comprising passionate ML engineers with backgrounds in both research and software development.

The role

We seek outstanding and enthusiastic Senior Machine Learning Engineers with an exceptional record, who share our passion for challenging problem-solving applied to industrial problems. You will get a chance to work with cross-functional teams, both internally and together with our external collaborators, and find great opportunities to further develop yourself and Deeplab. 

Candidates should have a proven machine learning background, as well as in-depth understanding and hands-on practical experience in production-grade development and big data tools. Experience in at least one relevant domain dealing with real-world data is expected (RecSys, computer vision, natural language processing, speech recognition, etc.). Previous experience in leadership of projects or technical teams, or the willingness and skill set required to pursue such opportunities will also be considered.

Responsibilities
  1. Develop machine learning algorithms and infrastructure.
  2. Write production-grade ML code, perform experimentation and benchmarking.
  3. Statistical modeling, data analytics and deep learning.
  4. Ensure algorithms and models are optimized for both computational efficiency and scalability to handle large-scale datasets.
  5. Independently plan, lead, and help execute challenging ML projects.
  6. Combine business concepts with ML-centric solution design to improve product-facing KPIs
  7. Stay updated with the latest advancements in machine learning methodologies to ensure Deeplab's solutions remain at the cutting edge.
  8. Collaborating with a cross-functional international team that brings together the best in class AI and Software Engineering to tackle the scientific challenges Deeplab is looking to find solutions for.

Requirements

  1. MSc (Electrical & Comp. Eng., Machine Learning, CS), and experience in  implementing and benchmarking machine learning algorithms for real-world data.
  2. 5+ years hands-on industrial or academic experience in machine learning projects in areas such as deep learning, core ML, computer vision, natural language processing etc.
  3. Proven hands-on research experience employing machine learning, underscored by  publications in esteemed journals or conferences.
  4. Familiar with development processes using Linux, versioning, CI/CD, Docker etc.
  5. Candidates should be proficient in Python, with experience developing, testing, and maintaining production-grade machine learning applications using frameworks such as TensorFlow or PyTorch.
  6. Nice to have: experience with large scale cluster computing for machine learning modeling.
  7. Ability to build strong relationships in a challenging international environment.
  8. Excellent written and oral communication skills; ability to present complex analyses in a clear, concise and actionable manner.
  9. Nice to have: experience in team or project leadership

Benefits

  1. Supplementary private health insurance.
  2. Flexible working hours and remote work from home.
  3. Working in high-end AI-tech and having an impact in real-world applications.
  4. Budget for home office equipment to ensure a productive and efficient workspace.
  5. Personal growth opportunities through internal knowledge sharing and self-development budget.
  6. Newly designed inspirational and fresh working environment at our new offices.
  7. Competitive salary depending on qualifications, expertise and experience.

 

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

CI/CDData MiningStatistical ModelingDeep LearningMachine Learning AlgorithmsDocker (Software)PyTorch (Machine Learning Library)LinuxTensorFlowPython (Programming Language)

Other Skills

  • Verbal Communication Skills
  • Open Mindset
  • Leadership Development
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