AI Solutions Engineer
hace 1 mes
Position: Machine Learning Engineer / Data Scientist
Type: Full-time
About Us
At Visium, we empower enterprise leaders to shape their AI and Data strategies, execute large-scale transformations, and integrate AI into their operations, ensuring their organizations remain resilient and forward-thinking.
Our expertise spans strategy, architecture, cloud engineering, analytics, artificial intelligence, and machine learning, enabling our clients to harness and scale the potential of their data.
We are committed to pioneering a sustainable future and fostering ethical organizations. We welcome the curious, the ambitious, the doers, and those who strive to create a world that inspires awe – our Visiumees.
Role Overview
As a Machine Learning Engineer, you will contribute to our expansion efforts and engage in a range of applied research initiatives utilizing cutting-edge machine learning methodologies. Your role will involve deploying these solutions to enhance user experiences and drive adoption. A keen understanding of the business context behind the features you develop is essential. You should be organized and thrive in a dynamic, fast-paced team environment.
Key Responsibilities
- Demonstrate a passion for data and an eagerness to ask insightful questions.
- Exhibit resourcefulness and critical thinking in problem-solving.
- Foster a collaborative and team-oriented atmosphere.
- Maintain impeccable attention to detail and a commitment to excellence.
- Adapt quickly and creatively to non-standard project challenges.
- Communicate effectively, presenting findings to non-technical stakeholders.
- Embrace a growth mindset, continuously seeking improvement and consolidation.
- Exhibit a proactive approach, taking initiative and responsibility.
- Organize effectively and adapt to the evolving landscape of a startup environment.
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 implementing deep learning techniques, including recurrent neural networks and deep convolutional networks.
- Strong understanding of clustering algorithms, regression, and classification (supervised/unsupervised/reinforcement learning).
- Knowledge of Unix/Linux operating systems.
- Familiarity with REST API and microservices architecture.
Preferred Qualifications
- Experience with Data and AI platforms (e.g., Databricks, Dataiku, Snowflake) or relevant Data Engineer certifications.
- Knowledge of web development practices.
Benefits
We offer:
- A yearly education budget to enhance your professional development.
- A yearly sports budget to promote physical well-being.
- An opportunity to make a significant impact on thousands of individuals.
- A diverse, knowledgeable, and passionate team with a strong collaborative spirit.
- The chance to join a talented organization with a proven track record.
- An open and transparent workplace culture.
For more information about our company culture and values, please explore our online presence.
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