Data Engineer With Ai Ml

Job Title: Data Engineer

Location: Plano, TX- Onsite

Publish Type: Contract/Subcon, Full Time/Lateral

Years of Experience: 7-10 Years

Remote: No

Job Summary:

We are seeking a highly skilled Data Engineer with a strong background in AI/ML Engineering to join our dynamic team in Plano, Texas. The ideal candidate will have 7 10 years of experience in data engineering, with a proven track record of designing and implementing data pipelines and architectures that support advanced analytics and machine learning initiatives. This role requires a deep understanding of data modeling, ETL processes, and the ability to work collaboratively with data scientists and other stakeholders to drive data driven decision making.

Responsibilities:

• Design, develop, and maintain scalable data pipelines and architectures to support AI/ML applications.
• Collaborate with data scientists to understand data requirements and ensure data availability for machine learning models.
• Implement ETL processes to extract, transform, and load data from various sources into data warehouses and lakes.
• Optimize data storage and retrieval processes for performance and efficiency.
• Monitor and troubleshoot data pipeline performance and reliability.
• Ensure data quality and integrity through rigorous testing and validation processes.
• Stay updated with the latest trends and technologies in data engineering and AI/ML.
• Document data engineering processes and maintain clear communication with cross functional teams.

Mandatory Skills:

• Strong expertise in AI/ML Engineering, including experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit learn.
• Proficient in programming languages such as Python, Java, or Scala.
• Extensive experience with data modeling, ETL processes, and data warehousing solutions.
• Hands on experience with big data technologies such as Hadoop, Spark, or Kafka.
• Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.

Preferred Skills:

• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Knowledge of data governance and data privacy regulations.
• Experience with containerization technologies such as Docker and orchestration tools like Kubernetes.
• Familiarity with Agile methodologies and DevOps practices.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred.
• 7 10 years of experience in data engineering or a related field, with a strong focus on AI/ML Engineering.
• Proven ability to work in a fast paced environment and manage multiple priorities.
• Excellent problem solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.