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Open nowPosted 573 days ago

Senior Machine Learning Engineer

Coreintels10 open roles

Pay
$160,000 – $200,000 a yearly
Where
New York City, NY
Work mode
On site
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Your applicationOpen nowSenior Machine Learning EngineerCoreintels · New York City, NY

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 573 days ago

The posting

About Us:

At CoreIntels, we’re building AI-powered solutions that transform data into real business value. As a growing tech company with a focus on innovation, we're looking for a Machine Learning Engineer to join our dynamic team and help drive the development of intelligent systems across our platform.

Job Summary:

As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that power our AI-driven applications. You’ll collaborate closely with data scientists, software engineers, and product teams to create scalable solutions that improve performance, automation, and customer experience.

Responsibilities:

  • Design and implement machine learning models for real-world use cases
  • Collaborate with cross-functional teams to collect and prepare data
  • Optimize ML models for accuracy, performance, and scalability
  • Build and maintain pipelines for model training, testing, and deployment
  • Monitor and evaluate model performance in production
  • Stay up to date with the latest advancements in ML and GenAI
  • Write clean, maintainable code and documentation for reproducibility

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, or related field
  • 5+ years of experience in machine learning or data science roles
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit-learn
  • Experience with data processing tools like Pandas, NumPy, Spark, or Hadoop
  • Strong knowledge of supervised and unsupervised learning techniques
  • Familiarity with model deployment using Docker, Flask/FastAPI, or cloud platforms (AWS, GCP, Azure)
  • Excellent problem-solving skills and ability to work in a fast-paced environment

Preferred Qualifications:

  • Experience with GenAI or LLM-based applications
  • Knowledge of MLOps, CI/CD for ML models, and tools like MLflow or Kubeflow
  • Experience with SQL and data visualization tools (e.g., Power BI, Tableau)

What We Offer:

  • Competitive salary and performance bonuses
  • Flexible work hours and remote opportunities
  • Opportunity to work on cutting-edge AI/ML projects
  • A collaborative and supportive work environment
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