Familiarity with common tools for machine learning (e.g. Mlflow, Tensorflow, PyTorch), reinforcement learning, (e.g., RLlib, Gym/Gymnasium), and transformer-based models for language. Experience with data processing (e.g., Spark, BigQuery, DataProc), storage (e.g., S3, Google Cloud Storage), transport (e.g., Kafka, PubSub), and orchestration (e.g., Airflow, Luigi.

Proficiency in programming languages such as Python, R, SQL, and experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, Scikit-Learn.

Pref Proficient in using various programming languages and tools for data analysis and machine learning, such as AWS Sagemaker, Comprehend Medical, Python, SQL, TensorFlow, PyTorch, or Spark.

3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning or natural language processing. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.

Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.

Proficient in using various programming languages and tools for data analysis and machine learning, such as AWS Sagemaker, Comprehend Medical, Python, SQL, TensorFlow, PyTorch, or Spark preferred.

Demonstrated expertise in applying advanced statistical and machine learning techniques to real-world problems, such as predictive modeling, natural language processing, computer vision, or recommender systems at scale.

Experience in securing and managing grants and contracts for data science and AI initiatives, as well as adhering to ethical and regulatory standards for data privacy and security preferred.

Familiarity with machine learning libraries TensorFlow, PyTorch, JAX, or Keras. Comfortable with SQL and using big data technologies (e.g. Hive, Presto, Spark, Iceberg, etc) on medium to large-scale data.

The Director of Data Science, Personalization will be responsible for leading and developing the team driving personalization efforts for ViX, the largest Spanish-language streaming platform in the world.

Strong understanding of machine learning concepts and techniques, including deep learning, reinforcement learning, natural language processing, and computer vision. Proficiency in programming languages such as Python, TensorFlow, PyTorch, or scikit-learn, with hands-on experience in developing and deploying machine learning models.

Oversee a team of data scientists, engineers, and analysts who leverage advanced analytics, machine learning, natural language processing, computer vision, and other AI techniques to create innovative applications and tools for clinical, operational, and research purposes.

You have substantial experience in AI and machine learning, particularly in applications involving NLP and large language models. You are proficient in Python libraries and frameworks relevant to AI and ML (PyTorch, TensorFlow, etc.

Profound knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) and in-context learning workflows, including data preprocessing, embedding, prompt construction, and execution.