Detalles de la Vacante

Empresa: Softgic

Responsibilities AI Solution Development - Lead the design, development, and implementation of end-to-end, scalable AI solutions. - Build, train, and optimize Machine Learning and Deep Learning models. - Continuously improve model performance, accuracy, and operational cost efficiency. Full Stack Engineering - Develop and integrate backend and frontend components for AI-powered applications. - Design scalable, secure, and high-performance software architectures. - Ensure code quality through testing, code reviews, and software development best practices. Data Science & Predictive Modeling - Analyze large datasets to identify patterns and develop predictive models. - Implement data preparation, cleansing, and transformation pipelines. - Develop advanced analytics solutions to solve complex business challenges. Cloud & MLOps - Build and deploy AI solutions using Machine Learning services on AWS, Google Cloud Platform (GCP), or Microsoft Azure. - Integrate AI models into scalable cloud infrastructures. - Optimize model deployment, monitoring, maintenance, and lifecycle management in production environments. Innovation & Technical Leadership - Provide technical leadership for strategic Artificial Intelligence initiatives. - Mentor and guide engineers across the team, promoting technical excellence and best practices. - Research emerging AI technologies, tools, and industry trends to drive continuous innovation. Documentation & Communication - Document system architectures, technical processes, and design decisions. - Communicate project progress, technical findings, and business impact effectively to both technical teams and business stakeholders. Requisitos Requirements Required Qualifications - 6-7 years of professional experience as a Full Stack Engineer. - Advanced proficiency in Python. - Strong experience with Java or Scala. - Extensive experience designing and developing Artificial Intelligence solutions. - Hands-on expertise with Machine Learning frameworks, including: - TensorFlow - PyTorch - Experience using: - pandas - scikit-learn - Experience working with cloud platforms, including: - Amazon Web Services (AWS) - Google Cloud Platform (GCP) - Microsoft Azure - Knowledge of cloud-based Machine Learning services. - Proven experience building advanced predictive models. - Strong understanding of: - Software architecture - Scalable systems design - Data structures - Algorithms - Proven experience developing Full Stack applications.

Inglés - Avanzado