AI Solutions Engineer
hace 1 mes
Position: Machine Learning Engineer / Data Scientist
Type: Full-time
Location: Remote
About Visium SA
At Visium, we empower organizations to define their AI and data strategies, execute transformative initiatives, and integrate AI into their operations, ensuring resilience for the future.
With our expertise spanning strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning, we enable our clients to harness and amplify the potential of their data.
We are committed to shaping a brighter future and fostering ethical organizations. We seek individuals who are curious, ambitious, and dedicated to creating a world that inspires awe.
Role Overview
As a Machine Learning Engineer, you will contribute to our expansion efforts and engage in diverse applied research projects utilizing cutting-edge machine learning methodologies. Your role will involve deploying these solutions to enhance user experience and adoption. You should possess a keen understanding of the business context surrounding the features you develop.
Key Responsibilities
- Engage with data enthusiastically, asking insightful questions to drive understanding.
- Exhibit resourcefulness and critical thinking in problem-solving.
- Collaborate effectively within a team-oriented environment.
- Maintain impeccable attention to detail and a commitment to excellence.
- Adapt quickly to challenges, employing creativity to devise optimal solutions.
- Communicate findings clearly to non-technical stakeholders.
- Embrace a growth mindset, continually seeking opportunities for improvement.
- Demonstrate proactivity in taking on responsibilities and initiatives.
- Exhibit strong organizational skills in a dynamic startup atmosphere.
Qualifications
To be considered for this role, candidates should possess:
- Proficiency in Python programming.
- Experience with ML/DL libraries and frameworks (e.g., Scikit-learn, TensorFlow, Keras, Pytorch).
- Familiarity with various visualization tools (e.g., Matplotlib, Seaborn, Bokeh, Power BI, Tableau).
- Experience in applying deep learning techniques, including recurrent neural networks and deep convolutional networks.
- Strong understanding of clustering algorithms, regression, and classification methods (supervised/unsupervised/reinforcement learning).
- Knowledge of Unix/Linux operating systems.
- Familiarity with REST API and microservices architecture.
Preferred Qualifications
The following qualifications are advantageous:
- Experience with Data and AI platforms (e.g., Databricks, Dataiku, Snowflake) or relevant Data Engineer certifications.
- Basic knowledge of web development.
Benefits
We offer a range of benefits, including:
- A yearly education budget to support your professional development.
- A yearly sports budget to promote a healthy lifestyle.
- An opportunity to make a significant impact on thousands of individuals.
- An international team that is knowledgeable, passionate, and collaborative.
- The chance to join a talented company with a proven track record.
- A culture that values openness and transparency.
For more information about our company, feel free to explore our online presence.
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