Senior Python Data/Machine Learning Engineer - Buenos Aires

Requisitos:
The ideal candidate must have a degree in Computer Science.
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.
Elastic search and ML experience using tools like TensorFlow or PyTorch is a big plus.
A candidate should have their own computer and stable internet connection to apply. We want a full- Time employee that is only working for us and able to commit around 40 hours per week. You are in charge of your own hours!
Actividades a realizar:
We-re looking to hire a full- Time, remote Senior Python Data/Machine Learning Engineer. For this role, your primary focus will be collaborating with a team of developers in creating and implementing software applications and components. You-ll have the opportunity to choose your hours and work and learn with a team of world- Class engineers and designers, through a commitment to team collaboration, communication, and product quality.
Ofrecemos:
Outliant is a fully- Remote, US- Ased, 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- Lay energy that supports individual growth and encourages the freedom of creativity and -thinking outside the box. -
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- Eing programs
Fun and casual work environment
Employee engagement activities and virtual gatherings



CONDICIONES DEL EMPLEO
Jornada laboral: Tiempo Completo
Tipo de empleo: Trabajo Fijo
Salario: A convenir
Cantidad de vacantes: 1


REQUERIMIENTOS
Experiencia Mínima: No especificado
Idiomas: Inglés Avanzado
Estudios Mínimos: Diplomatura
Sexo: Indistinto