Machine Learning Engineer
Description
Alohi SA, headquartered in Geneva, Switzerland, brings together a team of highly competent engineers who focus on merging state-of-the-art technologies with compelling user experience to simplify and enhance life for companies and people worldwide. The company provides Sign.Plus (a legally binding electronic signature), Fax.Plus (online faxing), Dial.Plus (AI-voice agent), and Scan.Plus (AI-powered mobile scanner) services to over 4,000,000 customers worldwide.
At Alohi, we began our journey with an initial seed investment from Fongit “Fondation Genevoise pour l’Innovation Technologique” which is backed by the state of Geneva. But instead of relying on external funding to fuel our growth, we’ve chosen to bootstrap our way to success. This approach has allowed us to prioritize our customers and build products that truly meet their needs, without being beholden to outside investors. By remaining financially independent, we’ve been able to maintain our autonomy and agility, which have been key factors in our ability to innovate and stay ahead of the curve.
As a Machine Learning Engineer at Alohi, you will play a crucial role in developing and deploying machine learning models and algorithms for our applications that serve millions of users worldwide. You will have the opportunity to collaborate with cross-functional teams to design, build, and optimize machine learning models. You will work closely with software engineers, and product managers to understand requirements and translate them into efficient and scalable solutions. Additionally, you will be responsible for evaluating and selecting suitable machine-learning techniques and algorithms to solve complex business problems.
Responsibilities
Design and implement machine learning models and algorithms.
Collaborate with cross-functional teams to gather requirements and understand business needs.
Collect, preprocess, and analyze large datasets to generate insights.
Apply statistical techniques and data visualization to interpret model outputs.
Optimize and fine-tune machine learning models for better performance.
Develop and maintain documentation for machine learning models and algorithms.
Stay updated with the latest advancements in machine learning and artificial intelligence.
Requirements
Bachelor's degree in computer science, data science, or a related field.
Strong programming skills in Python, including libraries such as TensorFlow or PyTorch.
Proficient in SQL with the ability to write complex queries and interact with databases.
Solid understanding of machine learning algorithms, including supervised and unsupervised learning.
Solid understanding of OCR, image processing.
Experience with data preprocessing, feature engineering, and data wrangling.
Knowledge of statistical analysis and hypothesis testing.
Excellent problem-solving skills, and a "getting things done" mindset.
Strong communication and teamwork abilities.
Ability to work independently and meet project deadlines.
Advanced degree in computer science or data science is a plus.
Experience with big data processing frameworks, such as Spark or Hadoop, is a plus.
Publications or contributions to the machine learning community is a plus.
Proficiency in data visualization tools like Matplotlib or Tableau is a plus.