MLOps and AI Engineer

Job Title: - MLOps & AI Engineer
Location: - Pennsylvania US - WFH Virtual
Hire Type: 6+ Month Contract (Extendable)



Note :- this role involves traveling to client location 3-4 days in a month, expenses incurred by the client. Candidate should be either in EST or CST time zone.

We are seeking a highly skilled and experienced MLOps Engineer to join our team in USA. You will play a crucial role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, working closely with the Generative AI Full Stack Architect . Your expertise in automating and streamlining the Client lifecycle will be instrumental in ensuring the efficiency, scalability, and reliability of our Generative AI models in production.

Responsibilities
" Design, develop, and implement MLOps pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring.
" Automate Client tasks across the model lifecycle, leveraging tools like GitOps, CI/CD pipelines, and containerization technologies (e.g., Docker, Kubernetes).
" Develop and maintain robust monitoring and alerting systems for generative AI models in production, ensuring proactive identification and resolution of issues.
" Collaborate with the Generative AI Full Stack Architect and other engineers to optimize model performance and resource utilization.
" Manage and maintain cloud infrastructure (e.g., AWS, Google Cloud Platform, Azure) for Client workloads, ensuring cost-efficiency and scalability.
" Stay up-to-date on the latest advancements in MLOps and incorporate them into our platform and processes.
" Communicate effectively with technical and non-technical stakeholders about the health and performance of generative AI models.

Qualifications we seek in you:
Minimum qualifications
" Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience.
" 8+ years of experience in MLOps or related areas, such as DevOps, data engineering, or Client infrastructure.
" Proven experience in automating Client pipelines with tools like MLflow, Kubeflow, Airflow, etc.
" Expertise in cloud platforms (e.g., AWS, Azure) for Client workloads.
" Strong understanding of CI/CD principles and containerization technologies like Docker and Kubernetes.
" Familiarity with monitoring and alerting tools for Client systems (e.g., Prometheus, Grafana).
" Excellent communication, collaboration, and problem-solving skills.
" Ability to work independently and as part of a team.
" Passion for Generative AI and its potential to revolutionize various industries.
Preferred Qualifications/ skills
" Experience with Agile methodology delivery and hands-on leadership role
" Proven Track record of continued and recent hands-on experience as full stack architecture


Sr. Account Manager - Enterprise Business
Net2Source Inc.

Office: 270 Davidson Ave, Suite 704, Somerset, NJ 08873
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