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Machine Learning Engineer Two Jobs in New York (NOW HIRING)

Inizio Partners

Machine Learning Engineer (GCP)

Manhattan, NY · Remote

$58.25 - $79.75/hr

Machine Learning Engineer- 2 Positions Overall experience of minimum 7 years and machine learning experience of at least 3 - 4 years. Location- Remote Overview: As a GCP ML Engineer, you'll design ...

HeyMilo AI

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer Company: HeyMilo AI Location: New York, NY, USA Contract Details: Full-time HeyMilo AI is a fast-growing startup based in New York City that specializes in developing ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

Purple Drive

Machine Learning Engineer

Newark, NJ

Machine Learning Engineer As a Machine Learning Engineer , you will play a critical role in designing, developing, and deploying advanced machine learning solutions that drive innovation and create ...

ClifyX

Machine Learning Engineer

Manhattan, NY

Machine Learning Engineer The Viacom Data Platform is looking for an awesome Machine Learning ... 2+ years in data engineering plus a Master's degree in Computer Science (or related field) or ...

Spotify

Machine Learning Engineer

Manhattan, NY · On-site +1

$170K - $212K/yr

Machine Learning Engineer The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We're looking ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineers build production grade machine learning algorithms that operate in real time or at scale. They have a very deep understanding of machine learning algorithms and cloud ...

Point72

Machine Learning Engineer

New York, NY

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Point72

Machine Learning Engineer

New York, NY · On-site

We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

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Can you work for two engineering companies at the same time?

As a Machine Learning Engineer, working for two companies simultaneously is possible but depends on employment agreements, non-compete clauses, and company policies. Many employers require exclusivity or limit outside work to prevent conflicts of interest, especially if projects overlap or involve proprietary information. It is important to review employment contracts and disclose side work to ensure compliance.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine AI models and algorithms. Other roles that are expected to persist include healthcare professionals, skilled tradespeople, educators, and creative roles such as writers and designers, because these jobs require human judgment, empathy, or manual skills that are difficult for AI to replicate. Success in these fields often depends on specialized knowledge, critical thinking, and adaptability to new tools and technologies.

Will AI take over machine learning engineer jobs?

Machine Learning Engineers design and develop AI systems, and while AI automation can handle certain tasks, the role requires expertise in model development, data analysis, and problem-solving that AI cannot fully replace. Human oversight, creativity, and understanding of domain-specific challenges remain essential in the field.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or tech, can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.
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Machine Learning Engineer (GCP)

Inizio Partners

Manhattan, NY • Remote

$58.25 - $79.75/hr

Other

Posted 5 days ago

Job description

About the job Machine Learning Engineer (GCP)
Role: Machine Learning Engineer- 2 Positions
Overall experience of minimum 7 years and machine learning experience of at least 3 - 4 years.
Location- Remote
Overview:
As a GCP ML Engineer, you'll design, develop, and maintain machine learning pipelines and infrastructure on the Google Cloud Platform (GCP). You'll work closely with data scientists, engineers, and DevOps teams to ensure smooth integration and deployment of machine learning models.
Key Responsibilities:

  • Pipeline Development: Build and automate end-to-end machine learning pipelines from data ingestion to model deployment.
  • Infrastructure Management: Develop and manage infrastructure for scalable machine learning solutions using GCP services such as AI Platform, Cloud Functions, BigQuery, and Kubernetes.
  • CI/CD for ML Models: Implement CI/CD processes for machine learning models, ensuring reliable and scalable deployment practices.
  • Monitoring & Optimization: Monitor and optimize machine learning models in production, ensuring high performance and uptime.
  • Collaboration: Work with cross-functional teams, including data engineers, software developers, and product teams, to ensure the successful deployment and operation of models.
Technical Requirements:
  • Experience with Google Cloud Platform (GCP), including GKE, AI Platform, Dataflow, and BigQuery services.
  • Proficiency in Python and frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of Kubernetes and containerization (Docker).
  • Experience with CI/CD tools such as Jenkins, CircleCI, or GitLab for ML pipelines.
  • Strong knowledge of DevOps principles and tools (Terraform, Ansible).
Preferred Qualifications:
  • Hands-on experience with MLFlow or Kubeflow.
  • Familiarity with data engineering processes, ETL pipelines, and data lakes.

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