Machine Learning Engineer - ML Applications

Responsibilities

• Develop and program integrated software solutions to support the development, deployment, and lifecycle of machine learning models.
• Select and implement appropriate machine learning algorithms for tasks such as classification, regression, clustering, or recommendation.
• Build and maintain data pipelines to efficiently preprocess and transform data for training and inference.
• Perform feature engineering to extract relevant information from raw data to improve model performance.
• Lead the integration of machine learning architecture into production platforms and products.
• Collaborate with cross-functional teams to translate complex business problems into actionable machine learning challenges.
• Explore, preprocess, and analyze data to ensure quality, relevance, and suitability for model development.

Requirements

• Degree in Computer Science, Statistics, Mathematics, Data Science, or a related discipline.
• 2-4 years of work experience in machine learning, computer programming, or a related field.
• Strong knowledge of algorithms and statistical methods.
• Experience with data pipelines and feature engineering.
• Proficiency in programming languages such as Python, Java, or C++.

Preferred Qualifications

• AWS Certified Machine Learning Specialty.
• Experience with deep learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Familiarity with Big Data technologies and Apache Spark.
• Experience working in an Agile environment.
• Knowledge of cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure.

About the Company

HP is a global technology leader dedicated to creating meaningful innovation. We believe in the power of collective achievement and strive to build a future where technology reshapes the way the world works for the better.