Remote AI/ML Developer

Job Title:

Location:

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Type:

Your Role

ML/AI Developer

Responsibilities

• Build, train, and optimize machine learning and deep learning models
• Work with structured and unstructured data for classification, regression, clustering, or NLP tasks
• Develop APIs and pipelines to deploy models into production environments
• Collaborate with data engineers to ensure clean, scalable, and usable datasets
• Conduct model evaluation, tuning, and experimentation
• Translate business problems into technical ML/AI solutions
• Stay updated with the latest advancements in AI/ML frameworks and tools
• Document experiments, model results, and deployment processes

Tech Skills We Value

• Strong knowledge of

  Python

  and ML libraries such as

  scikit-learn

  ,

  TensorFlow

  ,

  Keras

  ,

  PyTorch

  , or

  XGBoost

• Experience with

  NLP

  ,

  computer vision

  ,

  recommendation systems

  , or

  generative AI models

• Familiarity with

  data preprocessing

  ,

  feature engineering

  , and

  model evaluation techniques

• Experience with

  SQL

  ,

  Pandas

  ,

  NumPy

  , and data manipulation tools
• Exposure to

  ML Ops

  ,

  Docker

  ,

  REST APIs

  , and

  CI/CD for model deployment

• Familiarity with

  AWS Sagemaker

  ,

  Google Vertex AI

  , or

  Azure ML

  is a plus
• Understanding of data privacy, fairness, and ethical AI practices

What We’re Looking For

• 2–5 years of experience in AI/ML development or applied data science
• A strong foundation in statistics, machine learning theory, and model development
• Proven experience building and deploying end-to-end ML solutions
• Excellent problem-solving and analytical skills
• Ability to work independently and in distributed remote teams
• Passion for learning and applying new AI technologies

What You’ll Get

• Work on cutting-edge AI projects with innovative startups and global clients
• 100% remote flexibility with freelance or long-term contract options
• Access to real-world problems, high-quality datasets, and modern tech stacks
• Join a collaborative global network of AI/ML engineers and data professionals
• Growth opportunities in ML Ops, AI product development, and tech leadership