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Lead Gen AI Engineer
Yantran LLC
10 hours ago
Full-time
On-site
San Jose, California, United States
Gen AI Engineer
Location: TechM US CA SanJose Years of Experience: 7 10 Years Job Summary: We are seeking a highly skilled GenAI Engineer with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support our AI/ML initiatives. You will work closely with data scientists and analysts to ensure that data is accessible, reliable, and ready for analysis. Responsibilities: Design, develop, and maintain robust data pipelines to support AI/ML applications. Collaborate with data scientists to understand data requirements and ensure data quality. Implement data models and algorithms that enhance data processing and analysis. Optimize data storage and retrieval processes for performance and scalability. Monitor and troubleshoot data pipeline performance and reliability. Document data architecture and processes for future reference and compliance. Stay updated with the latest trends in AI/ML technologies and best practices. Mandatory Skills: 7 10 years of experience in data engineering or related fields. Strong knowledge of AI, ML, and DL concepts and frameworks. Proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks like Apache Spark or Hadoop. Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. Solid understanding of SQL and NoSQL databases. Experience with data warehousing solutions and ETL processes. Preferred Skills: Experience with containerization technologies (Docker, Kubernetes). Knowledge of data visualization tools (Tableau, Power BI). Familiarity with big data technologies (Kafka, Flink). Experience in deploying machine learning models into production. Strong problem solving skills and ability to work in a fast paced environment. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proven track record of successful data engineering projects. Excellent communication and collaboration skills. Ability to work independently and as part of a team. If you are passionate about data engineering and have a strong foundation in AI/ML/DL, we encourage you to apply and join our innovative team!
Location: TechM US CA SanJose Years of Experience: 7 10 Years Job Summary: We are seeking a highly skilled GenAI Engineer with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and architectures that support our AI/ML initiatives. You will work closely with data scientists and analysts to ensure that data is accessible, reliable, and ready for analysis. Responsibilities: Design, develop, and maintain robust data pipelines to support AI/ML applications. Collaborate with data scientists to understand data requirements and ensure data quality. Implement data models and algorithms that enhance data processing and analysis. Optimize data storage and retrieval processes for performance and scalability. Monitor and troubleshoot data pipeline performance and reliability. Document data architecture and processes for future reference and compliance. Stay updated with the latest trends in AI/ML technologies and best practices. Mandatory Skills: 7 10 years of experience in data engineering or related fields. Strong knowledge of AI, ML, and DL concepts and frameworks. Proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks like Apache Spark or Hadoop. Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. Solid understanding of SQL and NoSQL databases. Experience with data warehousing solutions and ETL processes. Preferred Skills: Experience with containerization technologies (Docker, Kubernetes). Knowledge of data visualization tools (Tableau, Power BI). Familiarity with big data technologies (Kafka, Flink). Experience in deploying machine learning models into production. Strong problem solving skills and ability to work in a fast paced environment. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proven track record of successful data engineering projects. Excellent communication and collaboration skills. Ability to work independently and as part of a team. If you are passionate about data engineering and have a strong foundation in AI/ML/DL, we encourage you to apply and join our innovative team!