... workflowsRequirements :- 5+ years of experience building computer vision systems in production environments- Strong experience with deep learning frameworks (PyTorch / TensorFlow)- Hands-on experience with :1. Detection, segmentation, or tracking systems2. Model training, fine-tuning, and evaluation- Strong understanding of :1. Representation ...
... clustering, recommendation, forecasting, anomaly detection, and other use cases. - Design and implement Deep Learning architectures using frameworks such as TensorFlow, PyTorch, or equivalent technologies. - Perform exploratory data analysis, feature engineering, statistical analysis, model selection, and hyperparameter optimization. ...
... machine learning experience, including delivering models to production - Strong Python skills and experience with the modern ML stack (scikit-learn, PyTorch or TensorFlow, pandas, Hugging Face Transformers) - Hands-on experience with Databricks (notebooks, jobs, MLflow, Unity Catalog) and Spark/PySpark - Production experience ...
... working with large datasets, data pipelines, feature engineering, and data processing. - Strong experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent . - Experience developing and deploying ML models in production environments. - Good understanding of REST APIs, microservices, ...
... acquisition, data cleaning to model building and deployment at enterprise https://jobeax.com/link/AsTDTp6i8kJTEE83 in Python or R, ML frameworks (PyTorch, TensorFlow, scikit-learn) and libraries (NumPy, pandas). Experience with software engineering practices, agile methodologies and version control (Git). Applied Data Science ...
... skills. - Ability to clearly document experiments, bugs, and test results. Good to Have Experience with any of the following is an advantage: - PyTorch or TensorFlow - OpenCV - YOLO or other object-detection models - Dataset annotation tools - REST APIs and Postman - pytest or other automated testing frameworks - Linux/Ubuntu ...
... practices clearly. Preferred Qualifications - Demonstrated expertise with Python . - Deep familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch . - Hands-on experience with MongoDB for data manipulation, storage, and retrieval within machine learning projects. - Strong problem-solving skills ...
... Must have strong programming skills in Python and SQL, with hands-on ML/data libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow), plus REST API design.- 4. Mandatory (Experience 2) : Must have hands-on experience building and deploying production-grade ML/LLMs including RAG pipelines, ...
... Functions, GKE, BigQuery, Cloud Storage and Pub/Sub. - Good hands-on experience implementing AI/ML solutions in production using frameworks/tools such as TensorFlow, PyTorch or scikit-learn, with understanding of MLOps practices. - Strong understanding of microservices architecture, REST APIs, GraphQL, event-driven systems, ...
... in statistical analysis and core ML algorithms (regression, tree-based models, clustering). - Hands-on experience with deep learning frameworks: PyTorch or TensorFlow. - Practical proficiency in Large Language Models (LLMs), prompt engineering, and multimodal AI integrations. - Proven experience optimizing models via quantization ...
... understanding of the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Working knowledge of Statistical Data Analysis, DOE and experience using any statistical software (Like Minitab, JMP, SAS, Matlab etc Background ...
... building predictive models and deploying them to production environments using Python - Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy) - Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and ...
... LLM as a Judge) and evaluation techniques. - Some experience with Python libraries and frameworks like numpy, pandas, pyspark, matplotlib, Flask, FastAPI, TensorFlow, PyTorch, scikit-learn. - Strong skills in software engineering, data processing, analytics and data visualization libraries - Proficiency in data structures, ...
... architecture, message brokers (e.g., Experience with RPA tools or frameworks (e.g., Experience with Generative AI technologies, including working with frameworks like TensorFlow, PyTorch, or Hugging Face, and integrating AI/ML models into software applications. - Experience with performance optimization and scalability, including profiling ...
... competitive https://jobeax.com/link/7R8WInIfuhaWiuHz Skills:- Expertise in analytics tools (SQL, Tableau, Power BI) and data science frameworks (Python, R or Scala, TensorFlow, PyTorch, Scikit-learn, XGBoost, etc).- Solid understanding of deep learning, NLP, computer vision, recommender systems or generative AI.- Knowledge of big ...
... NLTK, spaCy, or Stanford NLP, and platforms like Dialogflow, IBM Watson, or Microsoft LUIS Understanding of machine learning concepts and frameworks such as TensorFlow, PyTorch, or scikit-learn for building intelligent chatbots Knowledge of RESTful APIs and experience with integrating chatbots with various platforms Familiarity ...