Overview
Skills
Job Details
Mandatory Skills:
Bachelor s or master s degree in computer science, Engineering, Mathematics, or a related field. PhD is a plus.
5+ years of experience in machine learning, data science, or AI engineering.
Proficient in Python and libraries like Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.
Strong understanding of machine learning algorithms, deep learning architectures, and statistical methods.
Hands-on experience building and deploying ML models in cloud environments (Google Cloud Platform, AWS, or Azure).
Experience with containerization tools (Docker, Kubernetes) and ML workflow tools (MLflow, TFX).
Familiarity with big data technologies such as Spark, Hive, or Hadoop.
Experience with Google Vertex AI and writing Terraform scripts for infrastructure automation.
Experience with CI/CD pipelines, configuration management, and onboarding/monitoring of ML systems.
Experience working with knowledge graphs and vector databases (e.g., Neo4j, Weaviate, Pinecone, FAISS).
Strong understanding of data and AI pipeline configuration and orchestration
Mandatory Skills:
Bachelor s or master s degree in computer science, Engineering, Mathematics, or a related field. PhD is a plus.
5+ years of experience in machine learning, data science, or AI engineering.
Proficient in Python and libraries like Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.
Strong understanding of machine learning algorithms, deep learning architectures, and statistical methods.
Hands-on experience building and deploying ML models in cloud environments (Google Cloud Platform, AWS, or Azure).
Experience with containerization tools (Docker, Kubernetes) and ML workflow tools (MLflow, TFX).
Familiarity with big data technologies such as Spark, Hive, or Hadoop.
Experience with Google Vertex AI and writing Terraform scripts for infrastructure automation.
Experience with CI/CD pipelines, configuration management, and onboarding/monitoring of ML systems.
Experience working with knowledge graphs and vector databases (e.g., Neo4j, Weaviate, Pinecone, FAISS).
Strong understanding of data and AI pipeline configuration and orchestration
Mandatory Skills:
Bachelor s or master s degree in computer science, Engineering, Mathematics, or a related field. PhD is a plus.
5+ years of experience in machine learning, data science, or AI engineering.
Proficient in Python and libraries like Scikit-learn, TensorFlow, PyTorch, XGBoost, etc.
Strong understanding of machine learning algorithms, deep learning architectures, and statistical methods.
Hands-on experience building and deploying ML models in cloud environments (Google Cloud Platform, AWS, or Azure).
Experience with containerization tools (Docker, Kubernetes) and ML workflow tools (MLflow, TFX).
Familiarity with big data technologies such as Spark, Hive, or Hadoop.
Experience with Google Vertex AI and writing Terraform scripts for infrastructure automation.
Experience with CI/CD pipelines, configuration management, and onboarding/monitoring of ML systems.
Experience working with knowledge graphs and vector databases (e.g., Neo4j, Weaviate, Pinecone, FAISS).
Strong understanding of data and AI pipeline configuration and orchestration
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.