AI/ML Engineer (Gemini & Vertex AI)Lorven technologies • Hartford, CT, United States

AI / ML Engineer (Gemini & Vertex AI)

Lorven technologies • Hartford, CT, United States

3 days ago

Job type

Temporary

Quick Apply

Job description

Our client is looking for a AI / ML Engineer (Gemini & Vertex AI) at Hartford, CT (Hybrid) It's a Long Term Contract opportunity.

Job Title : AI / ML Engineer (Gemini & Vertex AI)

Location : Hartford, CT (Hybrid 3 days onsite 2 days remote per week)

Duration : Long Term Contract

Skills : GCP, Gemini & Vertex AI

Job Description : Job Summary :

We are looking for an AI / ML Engineer with hands-on experience in Google Cloud Platform (GCP), Vertex AI, and Gemini models to design, build, and optimize enterprise-grade AI solutions.
The ideal candidate will work closely with data engineering, product, and business teams to implement GenAI use cases, LLM pipelines, and scalable ML workflows on GCP.

Key Responsibilities :

Design, develop, and deploy AI / ML applications using Vertex AI, including model training, fine-tuning, evaluation, and deployment.

Build and integrate Gemini models (Gemini 1.5, 1.0, Flash, Pro, Ultra) into business workflows and applications.

Develop secure, scalable LLM architectures on GCP using services like Cloud Functions, Cloud Run, BigQuery, and Cloud Storage.

Create and manage MLOps pipelines using Vertex AI Pipelines, Model Registry, Feature Store, and CI / CD tools.

Work with cross-functional teams to identify AI opportunities, create POCs, and deliver end-to-end solutions.

Optimize model performance, prompt engineering, RAG pipelines, and vector search using Vertex AI Search & Vector Database.

Implement security, governance, and compliance best practices for AI workloads on GCP.

Monitor model performance, drift, and operational metrics in production.

Required Qualifications :

3 8 years of experience in AI / ML engineering, GenAI development, or cloud-based ML solutions.

Strong hands-on experience with Vertex AI, including :

Model training & tuning

Vertex AI Studio / Generative AI Studio

Vertex AI Agents

Pipelines, Registry, Feature Store

Experience working with Gemini models for chat, multimodal, RAG, and automation use cases.

Proficiency in Python and ML frameworks (TensorFlow, PyTorch, JAX preferred).

Deep understanding of GCP services (BigQuery, GCS, Cloud Run, Cloud Functions, IAM, Pub / Sub).

Experience implementing vector search, embeddings, and retrieval-augmented generation (RAG).

Strong understanding of MLOps, CI / CD, and model monitoring concepts.

Looking forward for your reply.

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