1 to 25 of 144 scikit-learn Jobs

related field. Expert-level proficiency in Python (primary); experience with R is a plus. Hands-on experience with major ML frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM implementation/fine-tuning (BERT, GPT-style models, LLaMA/Ollama, or equivalents). Strong proficiency in data manipulation and analysis ...

Skills/Knowledge/Experience Data Science & ML Supervised and unsupervised learning Time series, NLP, recommendation systems (as applicable) Programming Python (NumPy, Pandas, Scikit learn) Optional: R, SQL Data Platforms Relational & NoSQL databases Big data frameworks (Spark, Hive, Databricks) MLOps & Deployment Model lifecycle management CI/CD pipelines ...

practices for data governance, security, and MLOps on GCP Proficiency with Python and common AI/ML frameworks such as TensorFlow, PyTorch, JAX, scikit learn, and Hugging Face libraries Knowledge of MLOps and LLMOps practices-including CI/CD for models, model registry/versioning, feature stores, orchestration ...

importance of governance, safety, and human oversight. WHAT YOU BRING: Technical Skills Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit learn). Experience building and deploying machine learning models into production environments. Hands on experience working with large language models (LLMs), transformers, vector databases, embeddings ...

/CD pipelines and manage model deployment using Kubernetes/OpenShift and MLOps principles. Technical Requirements Core Programming: Expert-level Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, FastAPI, LangChain, LlamaIndex). Generative AI: Deep experience with LLMs (Gemini, OpenAI, Claude, Llama) and evaluating model safety/performance ...

Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless ...

between data and lived football judgement Essential Requirements Technical Skills Advanced proficiency in Python and the data science stack (pandas/polars, scikit-learn, NumPy, matplotlib/plotly) Strong SQL skills ability to design schemas, write complex queries, and manage relational data across large datasets Demonstrated experience integrating ...

core AI/ML concepts, including supervised/unsupervised learning, model training, evaluation, and deployment. Proficient in Python; experience with TensorFlow, PyTorch, or Scikit-learn; comfortable with SQL and big-data platforms. Familiarity with data preprocessing, feature engineering, and exploratory data analysis (EDA) techniques. Strong problem-solving skills ...

reporting and decision-making. Document code, models, and processes for transparency and reproducibility. Qualifications Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong skills in data manipulation (Pandas, NumPy, SQL). Experience with workflow orchestration (Airflow, Spark, or similar). 3-5 years of experience ...

stack products Strong backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Proven ability to build data-secure, privacy-compliant infrastructure ...

Hands-on experience with LLMs/Generative AI (e.g., GPT, Llama) Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience with cloud platforms (AWS, Azure, or GCP AI services) Strong knowledge of data engineering (ETL pipelines, data lakes, streaming) Experience with MLOps tools (MLflow ...

building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar. Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent). Experience deploying models and AI services in cloud or enterprise environments (AWS, Azure ...

practices for software development, including agile methodologies, CI/CD, and DevOps/MLOps workflows. Proficiency with ML/AI frameworks (PyTorch, TensorFlow, scikit-learn), LLM deployment, cloud platforms (AWS, Azure, GCP), and modern development tools including containerization (Docker, Kubernetes) and streaming data platforms (Kafka, Spark). Strong ...

supervised and unsupervised learning, time-series modelling, NLP/LLMs, optimization) to real-world business problems Strong proficiency with ML frameworks (e.g. PyTorch, scikit-learn, Transformers) and experience building or consuming LLM-based pipelines and GenAI applications Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization ...

learning technologies and best practices Skills and Experience • Strong programming skills in Python • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience working with SQL and large datasets • Familiarity with data pipelines, feature engineering, and model optimisation • Understanding of MLOps practices, model deployment ...

model serving for real-world applications used by real people. Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing ...

consulting incl software development with a strong track record of delivering business value Proficiency in Python and ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow) Experience with AI/ML tools (e.g., Jupyter, MLflow, Vertex AI, Azure ML, Amazon SageMaker Experience of creating delivery client-facing proof ...

Java with an understanding of algorithms and data structures. Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow) for end-to-end model development. 3+ years building production-ready ML infrastructure including data pipelines, training/inference workflows ...

able to work with includes Docker/Kubernetes Cloud service platform providers (GCP, Azure) Python Flask Object-oriented Programming Data Science ecosystem (numpy, scikit-learn, Jupyter) Snowflake SQL Server and various database technologies Apache Spark, DataBricks Git What we'll offer in return Full-Time Salary Position with ...

APIs (OpenAI, Anthropic, Bedrock, etc.) in production. Practical knowledge of evaluation methodologies for LLM systems. Familiarity with gradient boosting methods (XGBoost, LightGBM, scikit-learn) applied to structured/tabular data Strong understanding of data structures, algorithms, and distributed computing Preferred Skills Master's degree in Computer Science, Statistics ...

experience in: Machine Learning Engineering Applied AI/ML development Production ML systems Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow) Experience developing, training, and deploying ML models in real-world applications Solid understanding of the ML lifecycle (data training validation deployment ...

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. ...

with SQL and working knowledge of query optimization for large datasets AI/ML Frameworks & Tools Experience with frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Strong understanding of machine learning algorithms, deep learning, and data modeling techniques Enterprise Software & Architecture Experience designing or contributing ...

developing and deploying AI/ML solutions in production environments. Strong proficiency in Python, including data analysis and ML libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow). Solid understanding of machine learning concepts, model selection, training, validation, and evaluation techniques. Experience working with Microsoft Azure services ...

z2bz0 years of experience developing and deploying machine learning models in production. Proficiency in Python (or R), SQL, and common ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Experience working with cloud technologies, particularly AWS (e.g., S3, Glue, Timestream, Bedrock, Nova, sageMaker). Strong analytical skills and ability ...