AI / ML Engineer

AI / Client Engineer TECHM-JOB-29139 Position :- Client Engineer Location :- Dallas TX or NJ (Onsite) Key Skills :- Client/AI, Pysparkand Mlops Good to have :- GCP At least 7 years of experience as a Client Engineer, with fluency and experience in Python, Data Science, Data Engineering & MLOPS Knowledge in RESTful API design and implementation Experience of Web framework like FastAPI/Tornado/Flask etc. Data Science knowledge and familiarity with Client libraries such as Pandas, Scikit, TensorFlow, xgboost, time series frameworks like prophet/or equivalent frameworks In-depth of big data frameworks like Pyspark & gcp tools like data proc, data proc serverless Experience designing, building and operating productions grade Client applications Knowledge of design patterns and architecture, data science, and machine learning best practices Experience with relational databases like Big Query, cloud environments, and a good understanding of optimizing storage cost/query cost while designing data engineering workflows Good knowledge of Kubernetes, container technologies, docker registries, and applying them in the context of machine learning systems Working knowledge of Client frameworks, such as Vertex, Kubeflow, MLflow, CloudRun etc. Experience in designing post-deployment model management framework e.g. model monitoring tools, workflows for feature drift, error analysis of models Proficiency with CI/CD tools, especially Jenkins Experience in designing CI/CD pipelines (Jenkins) for deployment of Data Engineering and Client jobs workflow Hands-on experience in orchestration frameworks like Airflow, Cloud Composer, DataProc Serverless for Pyspark jobs etc. In-depth understanding of Google Cloud ecosystem for Data Engineering & MLOps - cloud composer, dataproc, dataproc serverless, big query, cloudrun, vertex, vertex pipelines, GKE Experience in designing MLOps platforms and architect big data systems on GCP cloud

Created: 2026-03-04