![Outliant](https://media.trabajo.org/img/noimg.jpg)
Senior Python Data/machine Learning Engineer
hace 1 semana
Seniority Level:
Mid-Senior Level
Responsibilities
- Lead the design, development, and implementation of data science projects
- Identify business problems, define project goals, and develop solutions.
- Manage data pipelines, including acquisition, cleaning, integration, and transformation.
- Develop machine learning models, select appropriate algorithms, preprocess and clean data, tune hyperparameters, and evaluate model performance.
- Effective communication with leaders and other departments, presenting data science solutions, providing insights, and making recommendations.
- Understand data privacy and security regulations and implement appropriate controls to protect data.
Requirements:
- Must have
strong Python Data Experience using frameworks like
Pandas and
NumPy - Handson experience in Python backend API development experience using frameworks such as
Flask
or
similar - Expertise in databases, ideally NoSQL and SQL
Elasticsearch and
ML experience using tools like
TensorFlow or
PyTorch is a big plus
- Fulltime availability (40 hours/week)
- A personal computer with stable internet
- PhD or Master's degree in Machine Learning or AI
_(a big plus)_ - Experience working for enterprise companies or FAANG companies
_(a big plus)_
About Us
Outliant is a fully-remote, US-based, digital product development and startup consulting company, with a team of culturally diverse creators whose exceptional skills and talents help conceive seamless digital products.
Our teams exhibit work-play energy that supports individual growth and encourages the freedom of creativity and "thinking outside the box.
"Why You Should Work with Us
As a full-time member of our team, you'll enjoy:
- Work wherever you choose
- Very flexible work hours
- Unlimited PTO
- Nonworking holidays depending on which country you're in
- 13thmonth bonus
- Salary and salary increases
- Financial support for online courses
- Mental health and wellbeing programs
- Fun and casual work environment
- Employee engagement activities and virtual gatherings
- We are a diverse, global team
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