Machine Learning Engineer
Jobbeschreibung
Plan-les-Ouates, Genf, Schweiz
Alohi
01.05.2024
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DescriptionAlohi SA, headquartered in Geneva, Switzerland, brings
together a team of highly competent engineers that 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)
and FAX.PLUS (online faxing) services to over 3,000,000 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.ResponsibilitiesDesign
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.RequirementsBachelor'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.Job SummaryID:
4F845D90F9Department: EngineeringType: full time