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Internship Aws Machine Learning Jobs in Tennessee

Senior Machine Learning Engineer

Franklin, TN ยท Remote

$118K - $155K/yr

Use yourexpertisein machine learning, exploratory data analysis, and software engineering to ... Experience with operating ML pipelinesina cloud platform (e.g., AWS, GCP, Azure). A master's degree ...

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

$139K - $168K/yr

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... Previous software engineering experience via an internship, work experience, or coding competition

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Internship Aws Machine Learning information

What are the most commonly searched types of Aws Machine Learning jobs in Tennessee? The most popular types of Aws Machine Learning jobs in Tennessee are:
What are popular job titles related to Internship Aws Machine Learning jobs in Tennessee? For Internship Aws Machine Learning jobs in Tennessee, the most frequently searched job titles are:

Data Scientist (Applied Machine Learning)

FOCUSPOINT

Brentwood, TN โ€ข On-site

$35 - $53/hr

Contractor

Medical, Dental, Vision, Life

Re-posted 10 days ago


Job description

Job Title: Data Scientist (Applied Machine Learning)
Location:ย Varies by client
Employment Type: Contract, Contract To Hire and Full Time
Pay:ย Commensurate with experience

Job Overview:
FOCUSPOINT is seeking experienced Data Scientistsย for our client base.

Our clients, leading innovators, areย seeking a highly skilled Data Scientists with a focuses on Applied Machine Learning to join their dynamic teams. Theseย is a high-impact roles where you'll translate complex data into actionable insights, build scalable ML models, and directly influence product development and strategic decision-making.

As a staffing partner, weโ€™re looking for candidates who thrive in fast-paced environments, bring deep technical expertise, and are passionate about solving real-world problems with machine learning.

Weโ€™re actively sourcing candidates who combine strong analytical rigor with practical problem-solving and communication skills. If you enjoy turning patterns into strategy and are ready to leverage your data expertise to drive real-world outcomes, we want to hear from you.


Core Responsibilities:

  • Design, develop, and deploy machine learning models for production use
  • Collaborate with cross-functional teams (engineering, product, analytics) to identify opportunities for ML-driven solutions
  • Conduct exploratory data analysis and feature engineering on structured and unstructured datasets
  • Optimize model performance and scalability using best practices in ML engineering
  • Communicate findings and model outcomes to technical and non-technical stakeholders
  • Stay current with advancements in ML algorithms, frameworks, and tools

Required Skills and Experience:

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Statistics, Mathematics, or related field (PhD preferred for research-heavy roles)
  • 3+ years of experience in applied machine learning or data science roles
  • Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Strong understanding of supervised and unsupervised learning, deep learning, and model evaluation techniques
  • Experience with cloud platforms (AWS, Azure, GCP) and data pipeline tools
  • Excellent communication and problem-solving skills

Preferred Skills

  • Experience with NLP, computer vision, or time-series modeling
  • Familiarity with MLOps tools and CI/CD workflows
  • Background in deploying models in real-time systems or edge environments
  • Contributions to open-source ML projects or publications in peer-reviewed journals

Benefits:

  • Dental insurance
  • Health insurance
  • Vision insurance
  • Health savings account
  • Life insurance
  • Disability insurance

Why Work With Us

As a trusted staffing partner, we offer:

  • Direct access to top-tier companies and cutting-edge projects
  • Personalized career guidance and interview coaching
  • Competitive compensation packages and benefits
  • Opportunities for long-term placement and career growth

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare,ย and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.