Google Cloud Platform/Machine Learning Engineer (6-8 yrs)

About company : Itis an End to End IT Services firm specializing in managing everything from Concept to Design to Development to Deployment and IT staffing solutions, Business is totally dependent on the modern and innovative technologies, and we provides robust IT talents that connect human resource with technology needs.

Job Title : GCP+ML Engineer

- Position : GCP + ML Engineer

- Experience : 6-8 Years

- Location : Bangalore, Kolkata

- Notice Period : Immediate to 15 Days

- Mandatory Skills : GCP, ML Operations, Vertex AI

- Note : Candidates should have clearly mentioned these skills in the project section, along with the project duration.

Job Description :

- Must have exposure in GCP Machine Learning, vertex AI.

- Collaborated with data engineers, and software developers to facilitate the deployment, monitoring, and maintenance of machine learning models.

- Experience in training and deploying AutoML and custom tabular/image models using Vertex AI

- Hands-on experience in designing, implementing, and maintaining robust data pipelines, data transformation processes, and data storage solutions on GCP, utilizing Apache Beam, Dataflow, and BigQuery.

- Demonstrated expertise in training, evaluating, and tuning ML models in BigQuery.

- Hands-on experience with Docker, Kubernetes, Kubeflow, and Cloud Build. Successfully created and managed CI/CD pipelines for machine learning model deployment, ensuring automation, and reproducibility with Cloud Build on GCP.

- Familiar with security best practices including IAM, Network security, and data encryption in GCP.

- Experienced in troubleshooting issues across E2E ML lifecycle from data preprocessing to model serving.

- Adept with Vertex AI's Generative AI studio. Hands-on experience in using Vertex AI PaLM API, including text-bison, chat-bison, and text embedding-gecko.

- Knowledgeable in Prompt engineering design, techniques, and best practices.

- Skilled in creating prompts for ideation, text classification, text extraction, and text summarization.