AI ML Developer

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field, 5 years of professional experience in AI/ML development, Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn), Strong understanding of algorithms, statistics, and linear algebra..

Key responsibilities:

  • Design, build, and deploy scalable machine learning models and AI solutions
  • Collaborate with data scientists and engineers to preprocess and analyze data
  • Implement model evaluation metrics and improve performance based on business goals
  • Document processes, models, and experiments.

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Notchup (Formerly CodeMonk.AI) https://www.notchup.com/?utm_source=LinkedIn&utm_medium=socialmedia&utm_campaign=profile
11 - 50 Employees
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Job description

Job Overview:

We are seeking a motivated and skilled AI/ML Developer to join our remote engineering team. The ideal candidate will have hands-on experience in developing and deploying machine learning models and AI-driven applications, with a strong grasp of data preprocessing, model evaluation, and performance tuning. You’ll collaborate with cross-functional teams to integrate ML capabilities into real-world solutions.


Responsibilities:

  • Design, build, and deploy scalable machine learning models and AI solutions
  • Work with data scientists and engineers to preprocess and analyze structured and unstructured data
  • Implement model evaluation metrics and improve performance based on business goals
  • Collaborate with software engineering teams to integrate models into production systems
  • Stay updated on the latest trends in AI/ML technologies and frameworks
  • Document processes, models, and experiments


Required Skills & Qualifications:

  • Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field
  • 5 years of professional experience in AI/ML development
  • Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience with data processing tools (e.g., Pandas, NumPy, Spark)
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Strong understanding of algorithms, statistics, and linear algebra
  • Version control using Git


Nice to Have:

  • Experience with MLOps tools (e.g., MLflow, SageMaker)
  • Knowledge of NLP, computer vision, or time-series forecasting
  • API development and deployment experience (Flask, FastAPI)


Perks & Benefits:

  • Fully remote role
  • Flexible working hours
  • Competitive salary based on experience
  • Opportunities for professional development and certifications

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving

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