ML OPS - Laiba Technologies LLC - Remote | Dice.com

Laiba Technologies LLC

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ML OPS

Remote • Posted 14 hours ago • Updated 3 hours ago

Contract W2

Remote

Depends on Experience

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Laiba Technologies LLC

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Job Details

Skills

ML OPS
Generative AI
ML Model

Summary

We are looking for a skilled MLOps Engineer to join our team and help us build, deploy, and maintain robust and scalable machine learning systems. You will be responsible for the full lifecycle of our ML pipelines, from data ingestion to model serving. This is a hands-on role where you will design and implement automated workflows, ensure data quality, and manage model deployments in a production environment.
Responsibilities
Data and Feature Pipelines: Design, build, and manage automated data ingestion, transformation, and validation pipelines using services like Kubeflow Pipelines and Vertex AI Pipelines.
Feature Engineering: Implement and containerize feature engineering logic for diverse datasets, ensuring reusability and scalability.
Data Validation: Integrate and manage data validation processes, including leveraging advanced techniques like AI Agents and the Generative Language API to automatically detect and remediate data quality issues.
Model Training and Experimentation:
Set up and maintain automated continuous training (CT) pipelines using Vertex AI Pipelines (Schedules) and Cloud Scheduler.
Implement experiment tracking to log and compare model parameters, metrics, and artifacts.
Configure and execute Hyperparameter Tuning jobs using Vertex AI Training to optimize model performance.
Model Management: Establish a robust Model Versioning system to manage and store model artifacts securely in a centralized repository (Cloud Storage).
Deployment and Serving:
Containerize ML models and their dependencies using Docker and manage images with Artifact Registry.
Build and maintain CI/CD workflows for ML models, ensuring seamless and automated deployment.
Configure and manage low-latency production serving environments using Vertex AI Endpoints for real-time inference.
Qualifications
Strong experience with Google Cloud Platform (Google Cloud Platform) services, specifically in the MLOps and ML domain (Vertex AI, Kubeflow, Cloud Storage, Artifact Registry).
Proven ability to design and implement end-to-end ML pipelines for data management, model training, and deployment.
Hands-on experience with containerization technologies like Docker.
Familiarity with CI/CD practices and pipeline automation.
Knowledge of ML frameworks like TensorFlow, and experience with experiment tracking and hyperparameter tuning.
Excellent problem-solving skills and a strong understanding of the ML lifecycle.
Experience with the Generative Language API (Gemini model) or other AI Agent integrations is a plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91078931
Position Id: 8808185
Posted 14 hours ago

Company Info

About Laiba Technologies LLC

Laiba Technology is one of the premier US based IT company. Our corporate office is in USA ,Dubai ,India. We serve government and commercial clients . We provide Software Development,Revenue Cycle Management, Staff Augmentation ,Software Support ,Corporate training etc. We have staffed thousands of contract and full time positions across multiple industries and skill sets. We have steadily grown through word of mouth referrals.

Laiba Technology is one of the reliable and fastest growing Software company serving client globally across the world. The demand for SEO/SMO/PPC, website design and development services and Software solutions worldwide has helped fuel the rapid expansion of We are in international market, where there is great requirement for businesses to increase their online publicity to spur financial growth.

We offer several innovative learning methods and delivery models to cater the unique requirements of a global customer base.
We also provide corporate training's on various cutting edge technologies. We have a team of Certified Trainers with minimum 10+ years of Industry background. Our Training courses are for individuals as well as for corporate. We also undertake customization of the courses as per client requirement.

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Laiba Technologies LLC

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