Alohi 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” backed by the state of Geneva. Instead of relying on external funding, we’ve chosen to bootstrap our growth, prioritizing our customers and building products that meet their needs. This approach has helped us maintain autonomy and agility, fostering innovation and staying ahead of the curve.
We are seeking a Machine Learning Engineer to develop and deploy machine learning models and algorithms for our applications serving millions globally. You will collaborate with cross-functional teams, including software engineers and product managers, to design, build, and optimize models, translating requirements into scalable solutions. You will also evaluate and select suitable machine learning techniques to address complex business problems.
Responsibilities
1. Design and implement machine learning models and algorithms.
2. Collaborate with teams to gather requirements and understand business needs.
3. Collect, preprocess, and analyze large datasets to generate insights.
4. Apply statistical techniques and data visualization to interpret model outputs.
5. Optimize and fine-tune models for performance.
6. Maintain documentation for models and algorithms.
7. Stay informed about latest advancements in machine learning and AI.
Minimum Qualifications
1. Bachelor's degree in computer science, data science, or related field.
2. Strong programming skills in Python, with libraries like TensorFlow or PyTorch.
3. Proficiency in SQL, including complex queries and database interaction.
4. Understanding of supervised and unsupervised machine learning algorithms.
5. Knowledge of OCR and image processing techniques.
6. Experience with data preprocessing, feature engineering, and data wrangling.
7. Understanding of statistical analysis and hypothesis testing.
8. Excellent problem-solving skills and a proactive approach.
9. Strong communication and teamwork skills.
10. Ability to work independently and meet deadlines.
Preferred Qualifications
1. Advanced degree in relevant fields.
2. Experience with big data frameworks like Spark or Hadoop.
3. Contributions to the machine learning community through publications or projects.
4. Proficiency in data visualization tools such as Matplotlib or Tableau.
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