201 to 225 of 488 Permanent Keras Jobs

. we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with one More ❯

Learning, Deep Learning, or Natural Language Processing.Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.) Familiarity with Python for AI/ML development is a significant advantage. Experience with data engineering pipelines or big data technologies (e.g., Kafka, Spark More ❯

. we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with one More ❯

. we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with one More ❯

. we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with one More ❯

. we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with one More ❯

. we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with one More ❯

. we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with one More ❯

. we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with one More ❯

. we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with one More ❯

. we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with one More ❯

. we'd also encourage you to apply if you possess: Experience with Spark/Databricks. Experience deploying ML models via APIs (e.g., Flask, Keras). Startup experience or familiarity with geospatial and financial data. The Interview Process (subject to change): You’ll start with an introductory call with one More ❯

industry experience. Strong proficiency in programming languages such as Python, C++, or similar. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Keras, or OpenCV. Proven ability to develop and optimise deep learning models for image and video analysis. Understanding of medical imaging and video data is advantageous. More ❯

or similar tools used in large-scale data processing Exposure to machine learning model deployment using APIs or lightweight serving frameworks like Flask or Keras Familiarity with geospatial data would be a great bonus! If this role interests you and you would like to learn more, please apply here or More ❯

or similar tools used in large-scale data processing Exposure to machine learning model deployment using APIs or lightweight serving frameworks like Flask or Keras Familiarity with geospatial data would be a great bonus! If this role interests you and you would like to learn more, please apply here or More ❯

or similar tools used in large-scale data processing Exposure to machine learning model deployment using APIs or lightweight serving frameworks like Flask or Keras Familiarity with geospatial data would be a great bonus! If this role interests you and you would like to learn more, please apply here or More ❯

or similar tools used in large-scale data processing Exposure to machine learning model deployment using APIs or lightweight serving frameworks like Flask or Keras Familiarity with geospatial data would be a great bonus! If this role interests you and you would like to learn more, please apply here or More ❯

Machine learning and deep learning concepts• Skilled in python frameworks such as scikit-learn, scipy, numpy etc and DL libraries such as tensor flow, keras• Skilled in GenAI Projects such as text Summarization, chatbot creation using LLM models GPT4, Med-Palm, LLAMA etc.• Skilled in fine tuning open source LLM More ❯

Master's in the above subjects with 3-4 years of industrial experience in a relevant competitive environment. Proficiency in Python, Dask, Numpy, Pandas, Keras and PyTorch. Experience withsingle-cell sequencing data Passion for knowledge sharing, mentoring colleagues, and shaping scientific strategy as part of a growingleadership team. What We More ❯

e.g. spaCy, NumPy, SciPy, Transformers, etc.), data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras). Demonstrated ability to work on multi-disciplinary teams with diverse skillsets. Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD More ❯

or similar tools used in large-scale data processing Exposure to machine learning model deployment using APIs or lightweight serving frameworks like Flask or Keras Familiarity with geospatial data would be a great bonus! If this role interests you and you would like to learn more, please apply here or More ❯

different levels across the organization. Demonstrated technical documentation skill is a must. Fluent in written and oral English. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (e.g., scikit-learn),experience in designing machine learning and AI applications to effectively optimize business processes and support better decision-making More ❯

Deep Learning, or Natural Language Processing. Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.). Familiarity with Python for AI/ML development is a significant advantage. Experience with data engineering pipelines or big data technologies (e.g., Kafka More ❯

technologies and evaluating the state of the art in machine learning algorithms for text analytics Demonstrated experience with machine learning frameworks such as PyTorch, Keras, Tensorflow Demonstrated experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated experience with NoSQL data stores such as MongoDB or DynamoDB Demonstrated More ❯

techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice-to-haves: On offer : Base salary More ❯