1 to 25 of 41 Amazon SageMaker Jobs

large language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data ...

inference Advanced Python skills (NumPy, pandas, scikit-learn, PyTorch or TensorFlow) Experience building, deploying and optimising ML models in production Strong AWS experience (e.g. SageMaker, Lambda or similar services) Expert SQL skills and experience working with large, complex datasets Solid data engineering fundamentals, including pipelines and APIs Comfortable with ...

orchestration tools like Kubeflow, Airflow, or Metaflow. Cloud Architecture: Expertise in deploying ML workloads on AWS, GCP, or Azure, utilizing managed services like SageMaker or Vertex AI. Data Foundations: Strong understanding of data modeling, feature stores, and distributed computing (e.g., Spark, Dask). Qualifications & Experience Experience: 5+ years ...

engineers What We're Looking For: Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge of LLMOps and GenAI tools (LangChain, LangSmith) Understanding of feature engineering and vector databases ...

vector databases (e.g., FAISS, Pinecone) Familiarity with LLM evaluation techniques, including prompt engineering and performance benchmarking Experience with AWS cloud infrastructure and services (e.g., SageMaker, Lambda, DynamoDB) Understanding of MLOps practices, including CI/CD, containerization (Docker, Kubernetes), and monitoring tools Bachelor's or Master's degree in Computer ...

Computer Science, Machine Learning, Engineering , or a closely related discipline. Bonus Points Experience with MLOps and model serving platforms such as BentoML, MLflow, or SageMaker . Hands-on work with streaming and batch data pipelines using tools like Spark, Airflow, or Apache Beam . Background in front ...

Libraries: XGBoost, SKlearn, Tensorflow or PyTorch. In depth experience building solutions using public clouds such as AWS, GCP. Experience using ML platforms like SageMaker, H2O, DataRobot, etc. Strong knowledge on ML model development life cycle components like containers, batch vs real time inference endpoints, application security testing etc. Experience ...

Generative AI models, LLMs, and agentic frameworks. •Collaborate with stakeholders to define problem statements and solution approaches. •Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines. •Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines. •Ensure high-quality delivery and adherence to best practices ...

moving beyond simple one-off scripts. AWS AI/ML Tools: Direct experience provisioning and managing the underlying infrastructure for key AI services, specifically: Amazon SageMaker: Setting up and optimizing environments for notebooks, training jobs, and inference endpoints. Amazon Bedrock: Integrating and managing access to foundation models ...

PyTorch. Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer. Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI). Experience with CI/CD pipelines and automation tools like GitHub Actions. Understanding of monitoring and logging tools (e.g., NewRelic, Grafana ...

marketplace or matching algorithms. Exposure to flexibility markets, virtual power plants, or reconciliation/settlement processes. Experience with ML deployment frameworks (MLflow, Vertex AI, SageMaker). Knowledge of optimisation libraries such as Gurobi, OR‐Tools, or Pyomo. ...

capital requirements, PD/LGD/EAD modelization, credit card fraud, anti-money laundry modelization). Experience with cloud ML platforms, specifically AWS Sagemaker, is a plus. Knowledge of Large Language Models (LLMs) is a plus. Traits Highly collaborative and actively help yourself (and others) be successful. A strong ...

Skills & Experience Technical Skills Strong expertise in Python for data science and ML engineering. Solid hands-on experience with AWS , including services such as Amazon SageMaker . Comfortable with software version control (Git) and collaborative workflows. Experience with experiment tracking/management tools (e.g., SageMaker Studio , MLflow ...

expert should have: A strong academic background in data science, computer science, mathematics, or a related field. Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn ...

Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale-up settings Company ...

have a background in C#) Knowledge of AI principles and AI ethics Knowledge of data safety in LLM usage Experience with: AWS: boto3, Bedrock, SageMaker, Lambda, S3, EC2 Azure: Azure OpenAI Service, Cosmos DB Retrieval-Augmented Generation (RAG), Graph RAG Embedding models and LLM training fundamentals Damia Group Limited ...

technical stakeholders Mentor junior team members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability to design experiments and apply statistical validation ...

learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization and summarization tools. Demonstrated curiosity ...

production systems and the unique challenges of scaling AI workloads. Experience in orchestration for AI/ML workloads. Familiarity with MLOps tools (e.g., AWS SageMaker, Bedrock, Kubeflow, MLflow). Strong understanding of compliance and governance in AI/ML platforms. Traits: Excellent collaboration and communication skills, with the ability ...

LLMs (Large Language Models), generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge ...

/IEC 42001). Experience with synthetic data generation or test corpus construction. Familiarity with experiment tracking tools (Comet/Opik,, MLflow, SageMaker Experiments). Interest in governance, risk, or AI assurance IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business ...

engineering with GitHub Actions and/or Argo CD. Preferred/Bonus Research experience in edge AI or constrained/offline deployments. MLOps experience (Sagemaker, Kubeflow, ZenML). Experience building RESTful services around AI pipelines. ISO 27001, NIST SSDF, OWASP SAMM, or GDPR compliance literacy. Experience with AWS Karpenter ...

similar large-scale ranking models. Generative AI & Technical Proficiency: Hands-on experience with LLM fine-tuning, Python, modern NLP frameworks, and familiarity with AWS SageMaker, Docker, and Airflow. Strong mathematical and statistical foundation. Ethical Drive: Commitment to ethical and fair AI practices that ensureequitableoutcomes for all users. Additional Information ...

Experience with Java and automated testing approaches (TDD/BDD) Exposure to Kubernetes, Terraform, and Oracle databases Experience with cloud-based ML platforms (e.g., SageMaker) Desirable: Databricks, Data Lakes, or applied AI use cases Contact Harry – Paritas Recruitment Email: harry@paritasrecruitment.com Mobile: +44 ...

encryption, secrets management, IAM/least- privilege, privacy-by-design, data minimization, and model compliance requirements. MLOps & model serving: Operationalize models via MLflow/SageMaker/Vertex, with feature/data/version management, model registry, canary/blue-green rollouts, and rollback plans. Data engineering: Build reliable data …/CD. Practical knowledge of guardrails, prompt/context engineering, multimodal workflows, and observability. Experience with MLOps/model serving (e.g., MLflow, SageMaker, Vertex AI) and data pipelines (e.g., Spark, Airflow, Beam). Security-first mindset and familiarity with compliance (PII handling, RBAC/IAM,key management). Nice ...