Hello ,
Greetings for the day.
I am trying to reach you for the below position .Please let me know your interest in taking the new positions or else please refer your colleagues or friends who are looking for a job change.
Position:1
Job Title: Python Azure ML Engineer
Location: Dallas, TX/Phoenix, AZ(Onsite)
Employment Type: Contract
Interview Mode: 90% Virtual AND 10% Its Onsite
Job Summary
Required Technical Skills
Strong experience in Python programming.
Hands-on experience with Microsoft Azure Machine Learning (Azure ML).
Experience developing and deploying machine learning models.
Knowledge of machine learning algorithms and statistical concepts.
Experience with Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Experience with Azure ML pipelines, model registry, and managed endpoints.
Knowledge of Azure services such as Azure Blob Storage, Azure Data Lake Storage, and Azure Container Registry.
Experience with Git, Docker, and CI/CD tools.
Understanding of MLOps and model monitoring.
Strong debugging, analytical, and problem-solving skills.
Preferred Skills
Experience with Azure ML SDK v2 and Azure ML Studio.
Knowledge of Azure DevOps or GitHub Actions.
Experience with MLflow and experiment tracking.
Familiarity with REST APIs, FastAPI, or Flask.
Knowledge of SQL and data engineering concepts.
Experience with Large Language Models (LLMs), generative AI, or Azure AI services is an advantage.
Education
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field, or equivalent practical experience.
Position:2
Job Title: Python, IBM Cloud & Databricks Engineer
Location: Dallas, TX/Phoenix, AZ(Onsite)
Employment Type: Contract
Interview Mode: 90% Virtual AND 10% Its Onsite
Job Summary
Required Technical Skills
Strong programming experience in Python.
Hands-on experience with Databricks and Apache Spark.
Experience with PySpark, Spark SQL, and distributed data processing.
Experience building ETL/ELT pipelines and data integration solutions.
Knowledge of IBM Cloud services and cloud-based data platforms.
Experience with cloud object storage and data lake architectures.
Strong SQL skills and experience working with relational databases.
Experience with data transformation, data modeling, and pipeline optimization.
Familiarity with Git, CI/CD, and production deployment processes.
Strong troubleshooting and problem-solving skills.
Preferred Skills
Experience with IBM Cloud Object Storage.
Familiarity with IBM Cloud Pak for Data, IBM watsonx.data, or IBM Db2.
Experience integrating Databricks with IBM Cloud data services.
Knowledge of Delta Lake and Lakehouse architecture.
Experience with workflow orchestration tools such as Databricks Workflows or Apache Airflow.
Familiarity with Terraform, Docker, or Kubernetes.
Understanding of data governance, security, and access management.
Experience with streaming technologies such as Kafka is an advantage.
Education
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
Thanks & Regards,
Victor(Vasu)
Sr.Talent Acquisition
Tech Genius, Inc
Frisco,TX