1350 Python jobs in Madison, TN

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      General Manager-203100

      ESA Management, LLC

      Nashville, TN 37214

      ~ 21 min OnsiteBilingual PreferredHealth InsurancePaid Time OffRetirement Benefit

      • Successfully pass a motor vehicle check
      • Minimum three years related hospitality management (or related field) experience required; Customer experience required
      • Must have a valid driver's license
      SmartExplore AI is experimental.
      New, Posted 15 hours ago
      Senior AI/ML Infra Engineer: Scalable GPU & LLM Orchestration

      Ll Oefentherapie

      Nashville, TN 37211

      ~ 21 min Onsite

      • Expertise in distributed systems
      • Strong educational background in Computer Science or a related field
      • Expertise in Python
      • Senior AI/ML Infra Engineer: Scalable GPU & LLM Orchestration
      • Expertise in deep learning frameworks
      • Expertise in Kubernetes
      • A leading technology company in Austin, Texas, is seeking a Senior AI/ML Software Engineer
      SmartExplore AI is experimental.
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      Engineer, Network

      Health Support Center

      Brentwood, TN 37027

      US Work Authorized

      Within 15 miles of Brentwood, TN

      Remote

      • The employee must occasionally lift and/or move up to 20 pounds.
      • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job responsibilities.
      • Noise level in the work environment is typical for an office and/or hospital environment.
      • Travel Requirements: Up to 10%
      • In hospital environment, may be exposed to hazards and unusual elements, which may include but are not limited to bloodborne pathogens and / or contagious illnesses, toxic chemicals, and biohazardous materials which may require extensive safety precautions and the use of protective equipment.
      • Minimum of 4 years experience as a network engineer in a health care facility, or large-scale inter-network environment.
      • Work environment characteristics described here are representative of those that an employee may encounter while performing the essential functions of this job.
      • Works in well-lit, ventilated and climate controlled office environment with routine office equipment; some equipment has moving mechanical parts.
      • You must be authorized to work in the United States without employer sponsorship.
      • Required specific vision abilities include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
      • Established capabilities utilizing technical tools related to network engineering including:
      • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
      • Repetitive motion of upper body required for extended use of computer.
      SmartExplore AI is experimental.
      New, Posted 1 day ago
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      Senior Systems Engineer, UDS Data Management - Central

      Dell

      Antioch, TN 37013

      ~ 32 min Onsite

      • Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas:
      • Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns.
      • Competitive positioning
      • Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics).
      • Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level).
      • Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse).
      • Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures.
      • Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics.
      • Can translate ambiguous business problems into clear data and analytics use cases.
      • Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win.
      • Enterprise BI modernization/self-service analytics
      • Advanced analytics / data science enablement
      • Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering).
      • Compensation
      • Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models.
      • Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers.
      • Storytelling & communication
      • Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA).
      • Cloud data warehouse or lakehouse migrations
      • Consulting Skills
      • Demo & POC excellence
      • Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions.
      • GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications
      • Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features.
      • Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats
      • Real-time or streaming analytics
      • Analytics, BI, and data science
      • Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools.
      • 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.
      • Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).
      • Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences.
      SmartExplore AI is experimental.

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