Job Title: AI Developer
Location: Montreal QC (Remote)
Job Summary:
We are seeking a skilled AI Developer with 5 6 years of experience in designing developing and deploying AI/ML solutions. The ideal candidate should have strong expertise in machine learning deep learning and building scalable AI-driven applications. You will work closely with cross-functional teams to deliver intelligent systems that solve real-world business problems.
Key Responsibilities:
-
Design develop and deploy machine learning and AI models for various business use cases.
-
Build and optimize NLP Computer Vision and predictive analytics solutions.
-
Develop and maintain end-to-end ML pipelines (data ingestion preprocessing training deployment).
-
Work with large datasets and perform data analysis feature engineering and model evaluation.
-
Implement and fine-tune models using frameworks like TensorFlow PyTorch or Scikit-learn.
-
Develop APIs and integrate AI models into production systems.
-
Work on LLM-based applications including prompt engineering and RAG pipelines.
-
Collaborate with data engineers DevOps and product teams for seamless deployment.
-
Monitor model performance and continuously improve accuracy and efficiency.
-
Ensure best practices in code quality scalability and security.
Required Skills & Qualifications:
-
Bachelors/Masters degree in Computer Science AI Data Science or related field.
-
5 6 years of hands-on experience in AI/ML development.
-
Strong programming skills in Python (mandatory).
-
Experience with ML/DL frameworks: TensorFlow PyTorch Keras.
-
Solid understanding of machine learning algorithms and deep learning techniques.
-
Experience with Natural Language Processing (NLP) and/or Computer Vision.
-
Knowledge of LLMs prompt engineering and generative AI frameworks.
-
Familiarity with cloud platforms (AWS Azure or GCP).
-
Experience with Docker Kubernetes and CI/CD pipelines is a plus.
-
Strong understanding of data structures algorithms and software engineering principles.
Job Title: AI Developer Location: Montreal QC (Remote) Job Summary: We are seeking a skilled AI Developer with 5 6 years of experience in designing developing and deploying AI/ML solutions. The ideal candidate should have strong expertise in machine learning deep learning and building scalable ...
Job Title: AI Developer
Location: Montreal QC (Remote)
Job Summary:
We are seeking a skilled AI Developer with 5 6 years of experience in designing developing and deploying AI/ML solutions. The ideal candidate should have strong expertise in machine learning deep learning and building scalable AI-driven applications. You will work closely with cross-functional teams to deliver intelligent systems that solve real-world business problems.
Key Responsibilities:
-
Design develop and deploy machine learning and AI models for various business use cases.
-
Build and optimize NLP Computer Vision and predictive analytics solutions.
-
Develop and maintain end-to-end ML pipelines (data ingestion preprocessing training deployment).
-
Work with large datasets and perform data analysis feature engineering and model evaluation.
-
Implement and fine-tune models using frameworks like TensorFlow PyTorch or Scikit-learn.
-
Develop APIs and integrate AI models into production systems.
-
Work on LLM-based applications including prompt engineering and RAG pipelines.
-
Collaborate with data engineers DevOps and product teams for seamless deployment.
-
Monitor model performance and continuously improve accuracy and efficiency.
-
Ensure best practices in code quality scalability and security.
Required Skills & Qualifications:
-
Bachelors/Masters degree in Computer Science AI Data Science or related field.
-
5 6 years of hands-on experience in AI/ML development.
-
Strong programming skills in Python (mandatory).
-
Experience with ML/DL frameworks: TensorFlow PyTorch Keras.
-
Solid understanding of machine learning algorithms and deep learning techniques.
-
Experience with Natural Language Processing (NLP) and/or Computer Vision.
-
Knowledge of LLMs prompt engineering and generative AI frameworks.
-
Familiarity with cloud platforms (AWS Azure or GCP).
-
Experience with Docker Kubernetes and CI/CD pipelines is a plus.
-
Strong understanding of data structures algorithms and software engineering principles.
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