**Machine Learning Engineer**
**Resume must be submitted in English to be considered.**
**About the Job**
**Responsibilities**:
- Model Development: Design, develop, and implement machine learning models and algorithms tailored to healthcare data and client needs.
- Deployment: Deploy machine learning models into production environments, ensuring scalability, reliability, and performance.
- Data Preprocessing: Collaborate with data engineers to preprocess and clean data, ensuring high-quality inputs for model training and validation.
- Performance Monitoring: Monitor model performance and conduct regular maintenance to ensure accuracy and effectiveness over time.
- Collaboration: Work closely with data scientists, healthcare experts, and client teams to understand requirements and deliver customized solutions.
- Documentation: Document methodologies, processes, and model configurations to ensure transparency and reproducibility.
- Innovation: Stay current with the latest research and advancements in machine learning, AI, and healthcare analytics to continuously improve and innovate solutions.
**Requirements**:
**- Intermediate English Speaking/Writing**
**Education**:
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Administration, or a related field.
**Experience**:
- Requires prior development experience with R, Python, Java or other analytics/data mining tools, databases, and computer programming.
- Requires prior experience in building and deploying predictive models and other analytic assets.
- Requires prior experience in SQL/Database programming such as stored procedures, functions, temporary tables, parameterization, complex joins,



and groupings.
- Extensive data modeling and data architecture skills
- Background in machine learning frameworks such as TensorFlow or Keras
- Knowledge of Cloud Computing or another distributed computing systems
- Strong written and verbal communications
- Superior communication skills and ability to tailor written and spoken language to a broad variety of potential stakeholders
- Utilizes team collaboration to create innovative solutions efficiently
- Ability to inspire a followership and mobilize change agents that act as multipliers and foster the mindset
- Ability to quickly identify coaches’ training needs, and address them through coaching (“train the trainer”) in inclusive training sessions
**Optumus offers**:
- Extensive Paid Training
- Competitive Salary
- Company Paid Holidays
- Health Benefits
- Life insurance
**Job Type**:
- **Full-time, On-Site, Monday to Friday 7am to 4pm**
**Salary**
- $40,000 - $60,000 per month, depending on experience
**Work Zone**
- Colonia De Valle, Mexico City
Tipo de puesto: Tiempo completo
Sueldo: $40,000.00 - $60,000.00 al mes
Beneficios:
- Aumentos salariales
- Caja de ahorro
- Descuento de gimnasio
- Estacionamiento gratuito
- Opción a contrato fijo
- Programa de referidos
- Vacaciones adicionales o permisos con goce de sueldo
Tipo de jornada:
- Turno de 8 horas
Pregunta(s) de postulación:
- Do you have experience speaking english at work?
- How many years of experience in software development?
- are you submitting a resume written in english?
Lugar de trabajo: Empleo presencial
Fecha límite para postularse: 16/09/2024
Fecha de inicio prevista: 17/09/2024

📌 Senior Software Engineer (Ciudad de México)
🏢 OPTUMUS MDT
📍 Ciudad de México