1 to 25 of 134 scikit-learn Jobs

data quality, governance, and compliance throughout the analytics lifecycle. Required Skills & Qualifications: Strong proficiency in Python, SQL , and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch . Hands-on experience with ML algorithms and deep learning architectures. Expertise in NLP techniques and frameworks, familiarity with LLM fine ...

language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries ...

language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries ...

data science roles, with proven success in delivering end-to-end projects. Strong proficiency in Python , R , and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data ...

Qualifications Education: Bachelor’s or Master’s in Computer Science, Data Science, Mathematics, or related field. Programming: Strong proficiency in Python (TensorFlow, PyTorch, Scikit-learn), and experience with SQL. ML Expertise: Solid understanding of supervised/unsupervised learning, deep learning, and model evaluation techniques. Cloud & MLOps: Experience with ...

automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation ...

automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation ...

GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour). Engineering & Stack: Python: Expert level (Pandas, NumPy, Scikit-Learn). Data Engineering: Strong SQL skills and experience building data pipelines. Experience: Education: Degree in a quantitative field (Statistics, Mathematics, Computer Science, etc. ...

Solutions Engineer AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud ...

experience in Java, or .Net or React, Node.js, Flask/Django, REST APIs. Proficiency in Python, SQL, and machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch. Experience in EDA, data engineering, creating data pipelines and processing huge volume of data. Understanding of cloud platforms (OCI, Azure ...

Python Understanding of machine learning fundamentals (supervised/unsupervised learning, model evaluation, overfitting, etc.) Experience with common ML libraries such as PyTorch, TensorFlow, scikit-learn , or similar Solid foundation in data structures, algorithms, and software engineering principles Strong problem-solving skills and attention to detail Excellent communication skills ...

related STEM field. Strong foundation in machine learning concepts, algorithms, and model development. Experience with Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch). Understanding of software engineering principles and version control (Git). Familiarity with cloud platforms (AWS, GCP, or Azure ...

Looking For Essential Skills & Experience Proven experience solving complex, real-world problems using data science and analytics. Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics. Deep understanding of machine learning methods and their practical application. Experience delivering multiple ...

Prior experience in manufacturing, industrial, or operations-focused environments is strongly preferred. Technical Skills Strong proficiency in Python and ML libraries such as scikit-learn, TensorFlow, and PyTorch. Solid SQL skills for data querying, transformation, and analysis. Experience with data visualization tools such as Power BI or Tableau. ...

M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn) Familiarity with SQL for querying relational datasets Sound understanding of ML fundamentals – supervised/unsupervised learning methods Strong statistics foundation – distributions, hypothesis testing ...

feature effectiveness. Ability to navigate large, complex, or ambiguous datasets and translate analysis into clear, actionable insights. Experience using common ML libraries (e.g. scikit-learn, PyTorch, TensorFlow, or similar). Exposure to cloud-based data or ML platforms (AWS, GCP, Azure or similar). Strong data visualisation ...

Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries ...

Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries ...

into reliable, scalable systems. Essential experience includes: Commercial experience developing and deploying machine learning models in Python Proficiency with ML frameworks such as scikit-learn, XGBoost, PyTorch or TensorFlow Strong experience delivering ML solutions using AWS services (e.g. SageMaker, Lambda, S3) Expertise in experiment design, including hypothesis formulation ...

time-series forecasting and spatio-temporal modeling, ideally applied to weather or energy systems. Strong proficiency in Python (Pandas, NumPy, PyTorch, TensorFlow, scikit-learn, Lightning, or equivalent). Solid understanding of data engineering and ML infrastructure Experience deploying ML models to cloud-native environments (Kubernetes, Docker, AWS/ ...

related quantitative field, or 8+ years of relevant or equivalent experience Strong proficiency in Python and modern data science/ML libraries (Pandas, Scikit learn, PyTorch/TensorFlow, Keras, LangChain, etc.) Proven expertise in building, deploying, and maintaining ML/AI models in AWS and/or Azure ...

accuracy, drift, bias) and rollback plans. Collaborate with data engineers and AI engineers on interfaces and SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (e.g., MLflow), model registry ...

junior colleagues and share learnings across the team. Requirements: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow. Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments. Strong experiment design skills: hypothesis formulation ...

additional experience with other languages is a plus Experience working with tools and frameworks such as Spark, Kafka, Airflow, MLflow, TensorFlow, PyTorch, Scikit-learn, etc. Excellent communication and interpersonal skills; ability to work with both technical and business stakeholders. Strong command of German and English language (both verbal ...