Senior AI Engineer for NLP and ML
Budget: $50 – $0 USD
Job Title:
Senior AI & Python Developer | NLP, ML, Bayesian Modeling, SciPy
Job Description:
We are seeking a Senior AI Engineer / Python Developer with a strong background in machine learning, NLP, and probabilistic modeling to join our remote team on a part-time or contract basis.
You will be working on cutting-edge AI solutions involving natural language understanding (NLU), data inference in complex frameworks, Bayesian statistics, and more. Ideal candidates will have experience with Python, NumPy, SciPy, Matplotlib, and modern AI/ML stacks.
Responsibilities:
Develop and optimize ML/NLP algorithms using Python, NumPy, and SciPy
Design inference systems in complex competency frameworks (Bayesian Inference, Probabilistic Graphical Models)
Build and improve predictive models using real-world data (e.g., traffic ETA, user mastery estimation)
Collaborate on research-driven AI product development
Write clean, efficient, and well-documented code
Work with tools like Jupyter Notebook, Git, and Linux in a scientific computing environment
Required Skills & Qualifications:
7+ years experience in AI/ML development using Python
Strong experience with Bayesian Inference, SciPy, NumPy, Matplotlib
Solid background in Natural Language Processing (NLP) and Natural Language Understanding (NLU)
Experience with probabilistic models, reinforcement learning, or imitation learning
Hands-on experience with voice/audio processing, quiz generation systems, or similar intelligent content generation
Senior AI & Python Developer | NLP, ML, Bayesian Modeling, SciPy
Job Description:
We are seeking a Senior AI Engineer / Python Developer with a strong background in machine learning, NLP, and probabilistic modeling to join our remote team on a part-time or contract basis.
You will be working on cutting-edge AI solutions involving natural language understanding (NLU), data inference in complex frameworks, Bayesian statistics, and more. Ideal candidates will have experience with Python, NumPy, SciPy, Matplotlib, and modern AI/ML stacks.
Responsibilities:
Develop and optimize ML/NLP algorithms using Python, NumPy, and SciPy
Design inference systems in complex competency frameworks (Bayesian Inference, Probabilistic Graphical Models)
Build and improve predictive models using real-world data (e.g., traffic ETA, user mastery estimation)
Collaborate on research-driven AI product development
Write clean, efficient, and well-documented code
Work with tools like Jupyter Notebook, Git, and Linux in a scientific computing environment
Required Skills & Qualifications:
7+ years experience in AI/ML development using Python
Strong experience with Bayesian Inference, SciPy, NumPy, Matplotlib
Solid background in Natural Language Processing (NLP) and Natural Language Understanding (NLU)
Experience with probabilistic models, reinforcement learning, or imitation learning
Hands-on experience with voice/audio processing, quiz generation systems, or similar intelligent content generation
Related categories:
Business, Accounting, Human Resources & Legal
Python
Statistics
Machine Learning (ML)
Data Mining