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Python Gen AI Engineer (Data Engineer + Data Science) in Jersey City, NJ at Remote, Remote, USA
Email: ankul.kumar@dataqinc.com
https://jobs.nvoids.com/job_details.jsp?id=2254074&uid=
From:

Ankul Kumar,

Dataqinc

ankul.kumar@dataqinc.com

Reply to:   ankul.kumar@dataqinc.com

Hello,
Greetings of the day!
Note Only H1B No other Visa Please 
Please add GenAI more and More.

Job Overview: We are looking for a highly skilled Python, GenAI AWS Engineer to join our dynamic team. The ideal candidate will have a strong background in Python, Generative AI models, and cloud infrastructure (AWS). This individual will contribute to developing, deploying, and optimizing DE solutions in the cloud, with expertise in Java, Spark, and SQL, with additional knowledge of Snowflake and experience with AWS cloud platforms being a plus.

Key Responsibilities:
Develop and implement AI/ML solutions using Python and Generative AI technologies (e.g., GPT, LLMs, BERT).
Design, deploy, and manage scalable solutions on AWS (Lambda, S3, EC2, RDS, SageMaker, Bedrock etc.).
Optimize and monitor AI models in production, ensuring they meet performance, cost, and accuracy targets.
Develop API integrations for AI-powered applications, leveraging cloud-native tools and serverless architecture.
Ensure security and compliance in AI/ML workloads following best practices for data governance and cloud security.
Develop and maintain front-end interfaces using modern JavaScript frameworks (e.g. Java, CI / CD tools).
Proficiency in Java programming with a strong understanding of its ecosystem and tools.

Key Requirements:

5+ years of hands-on experience in Python development, with a focus on GenAI applications.
Proven expertise in Generative AI models (e.g., GPT, Transformer models, GANs, or similar) and familiarity with finetuning and model optimization techniques.
Strong experience with AWS services like Lambda, Sage Maker, EC2, S3, RDS, API Gateway, and IAM.
Experience with API development and serverless architecture on AWS.
Strong understanding of MLOps/DevOps pipelines in cloud environments, including Docker, Kubernetes, and CI/CD practices.
Excellent problem-solving and communication skills, with the ability to work in a collaborative environment.
Nice to Have:

Experience on Langchain will be added advantage.
Certifications in AWS (AWS Certified Solutions Architect/Developer).
Experience in Natural Language Processing (NLP) and Conversational AI applications.
Familiarity with data engineering tools such as Airflow, Spark, PySpark, or similar.
Solid understanding of Java Scripting and automation tools.
Experience with AI model explainability and ethical AI considerations.
Education: BE/B.Tech from a reputed institute.

Keywords: continuous integration continuous deployment artificial intelligence machine learning sthree Delaware
Python Gen AI Engineer (Data Engineer + Data Science) in Jersey City, NJ
ankul.kumar@dataqinc.com
https://jobs.nvoids.com/job_details.jsp?id=2254074&uid=
ankul.kumar@dataqinc.com
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08:57 PM 13-Mar-25


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