21 feb
Icalia Labs
Nuevo Casas Grandes
We value **practical experience** over theory, and we're committed to building **cutting-edge AI solutions** for our clients.
This is an opportunity to work on **high-impact projects** that push the boundaries of what AI can achieve.
**Key Responsibilities**:- Work with **Machine Learning** and **Deep Learning** models, leveraging frameworks like **TensorFlow**, **PyTorch**, **Keras**, or similar.- **Optimize and scale AI models**, ensuring performance and efficiency in production environments.- Collaborate with product and engineering teams to implement AI algorithms and systems into end-to-end workflows.- Develop and implement **AI pipelines** for data processing, model training,
and deployment.- Stay at the forefront of **AI and ML research**, integrating the latest methodologies and innovations into projects.- **Troubleshoot, test, and validate** AI models, continuously improving accuracy and performance.
**Required Skills & Experience**:- **2+ years of professional experience** working with **AI/ML** technologies, with a proven track record of delivering AI solutions in production environments.- Strong proficiency in **Python**, with experience using libraries like **TensorFlow**, **PyTorch**, **Scikit-Learn**, and **Pandas**.- Expertise in **Natural Language Processing (NLP)**, **Computer Vision**, or other advanced AI techniques.- Deep understanding of **data processing**, including feature engineering, data augmentation, and data pipelines.- Experience in deploying and optimizing AI models on **cloud platforms** like **AWS**, **GCP**, or **Azure**.- Experience with **CI/CD** practices and tools for deploying AI models.- Strong understanding of **statistical methods** and **data science fundamentals**, including hypothesis testing, probability,
and regression analysis.- Proficient in **SQL** and experience with **NoSQL** databases like **MongoDB** or **Cassandra**.- Familiarity with version control using **Git** and collaborative workflows.- **Advanced English** communication skills for documentation and team collaboration.- Experience with **reinforcement learning**, **transfer learning**, or **GANs** (Generative Adversarial Networks).- Familiarity with **cloud AI services** (e.G., AWS SageMaker, Google AI Platform).- A background in **data engineering** and the ability to work with large-scale datasets.- Contributions to **open-source AI projects** or active participation in the AI research community.- Advanced degrees (Master's or Ph.D.)
in **Computer Science**, **AI**, or related fields.Tipo de puesto: Tiempo completoTipo de jornada:- Lunes a viernesIdioma:- Inglés (Obligatorio)- Español (Obligatorio)Lugar de trabajo: Empleo remoto
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.