101 to 125 of 229 Remote NumPy Jobs

engines like Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field More ❯

engines like Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field More ❯

engines like Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field More ❯

engines like Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field More ❯

engines like Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field More ❯

engines like Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field More ❯

engines like Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field More ❯

engines like Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field More ❯

engines like Coqui TTS Self-supervised learning tools like S3PRL Solid understanding of digital signal processing and acoustic modeling, with experience in: FFmpeg , SoX , NumPy/SciPy , Praat Experience deploying ML models in cloud environments (AWS, GCP, or Azure). BS or MS in CS, EE, ML, or related field More ❯

4+ years of engineering experience, at least 1 year in a leadership role. Strong knowledge of Machine Learning. Advanced knowledge of Python & DS packages (numpy/pandas/sklearn/keras, etc.); ability to optimize and speed up code. Solid experience with SQL (MySQL, Google BigQuery); understanding of data warehousing More ❯

Degree in a STEM subject, preferably from a Russell Group University. Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project More ❯

Degree in a STEM subject, preferably from a Russell Group University. Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project More ❯

a team on research ideas that have real-world impact Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch, numpy, pandas, etc. Several years of experience working on machine learning algorithms and systems A good grasp of machine learning literature Comfortable working with large quantities More ❯

and collaboration, with the ability to work closely with technical and non-technical teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical environments More ❯

DSP and communications theory Signals and Systems, FFTs, FIR filters, convolution, correlation, etc. Communications or modem design and development C/C++ and MATLAB, NumPy, Python, Gnu Radio or X-MIDAS High performance computing High speed (100G+) networking, switch setup, selecting switch, NIC and transceiver components IP networking, DPDK and More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯

AI/ML, with at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. More ❯