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**
- Hands-on 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
- Full-time 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
- Non-working holidays depending on which country you’re in
- 13th-month bonus
- Salary and salary increases
- Financial support for online courses
- Mental health and well-being programs
- Fun and casual work environment
- Employee engagement activities and virtual gatherings
- We are a diverse, global team
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