Senior ML Engineer - Remote Work | REF#308303

BairesDev; Ibagué; A distancia; COP 292.047.000 - 421.845.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Competitive USD compensation

Flexible hours

Parental leave & holidays

Descripción de la vacante

BairesDev is seeking a Senior ML Engineer to lead machine learning initiatives and build production systems that drive business innovation. You will design scalable ML architectures, mentor engineering teams, and collaborate with product and data teams to bring AI models to production.

This 100% remote role offers competitive compensation in USD or your local currency, flexible hours, and a supportive, multicultural environment with mentorship and opportunities for growth across a global Top 1%

Formación

• 4+ years of experience in machine learning engineering or related fields.
• Strong expertise in ML frameworks such as TensorFlow, PyTorch, or similar tools.
• Extensive experience with MLOps, model deployment, and production ML systems.
• Proven ability to lead technical projects and mentor engineering teams.
• Deep understanding of ML algorithms, data processing, and system optimization.
• Advanced level of English.

Responsabilidades

• Design and develop advanced machine learning systems with focus on scalability and performance.
• Lead technical decisions and provide guidance for ML development initiatives.
• Mentor junior and mid-level engineers in ML best practices and engineering principles.
• Build and optimize ML pipelines, from experimentation to production deployment.
• Drive model performance, evaluation, and continuous improvement initiatives.
• Evaluate and implement cutting-edge ML technologies and frameworks to enhance capabilities.

Conocimientos

Machine Learning

MLOps

Model Deployment

Mentoring

English Proficiency

Herramientas

TensorFlow

PyTorch

Descripción del empleo

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

As a Senior ML Engineer, you'll lead machine learning initiatives and build production systems that drive business innovation. You'll design scalable ML architectures, mentor engineering teams, and collaborate with product and data teams to bring AI models to production.

What You'll Do

• Design and develop advanced machine learning systems with focus on scalability and performance.
• Lead technical decisions and provide guidance for ML development initiatives.
• Mentor junior and mid-level engineers in ML best practices and engineering principles.
• Build and optimize ML pipelines, from experimentation to production deployment.
• Drive model performance, evaluation, and continuous improvement initiatives.
• Evaluate and implement cutting-edge ML technologies and frameworks to enhance capabilities.

What We Are Looking For

• 4+ years of experience in machine learning engineering or related fields.
• Strong expertise in ML frameworks such as TensorFlow, PyTorch, or similar tools.
• Extensive experience with MLOps, model deployment, and production ML systems.
• Proven ability to lead technical projects and mentor engineering teams.
• Deep understanding of ML algorithms, data processing, and system optimization.
• Advanced level of English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

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