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Machine Learning Engineer

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Onsite

Machine Learning Engineer

RK Infotech LLC

Machine Learning Engineer

Skills

Google Cloud PlatformSQL QueriesPythonData ScienceNumPypandasPyTorchTensorFlowMachine LearningAIAWSGitHubNLP / Natural Language ProcessingAzure

14 days ago

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Important information


Contract type:

Permanent

Salary:

$90 – $110 / year

Location:

Tampa, FL, USA

Work mode:

Onsite

Published on:

8 October 2026

What they need


Job Title: AI/ML Engineer – Entry Level

Experience: 4+ Years

Employment Type: Full-Time + Benefits

Job Description:

We are looking for a motivated Entry-Level AI/ML Engineer to join our technology team. The candidate will work on machine learning models, data preparation, AI applications, and automation projects while gaining hands-on experience with real-world datasets and AI technologies.

Key Responsibilities:

  • Assist in developing, training, and evaluating Machine Learning models.
  • Collect, clean, preprocess, and analyze datasets.
  • Implement basic supervised and unsupervised learning algorithms.
  • Work with Python, NumPy, Pandas, Scikit-learn and related libraries.
  • Assist in developing AI/ML solutions using Generative AI, NLP, or Computer Vision.
  • Perform model testing, optimization, and performance evaluation.
  • Work with senior engineers to deploy ML models into applications.
  • Document experiments, results, and technical processes.
  • Stay updated with emerging AI/ML technologies and frameworks.

Required Skills:

  • Strong understanding of Python programming.
  • Basic knowledge of Machine Learning and Statistics.
  • Familiarity with NumPy, Pandas, Scikit-learn.
  • Understanding of algorithms such as Regression, Classification, Decision Trees, and Clustering.
  • Basic knowledge of SQL and databases.
  • Familiarity with Git/GitHub.
  • Good analytical and problem-solving skills.

Goo d to Have:

  • Knowledge of TensorFlow or PyTorch.
  • Exposure to Generative AI/LLMs, NLP, or Computer Vision.
  • Basic understanding of AWS/Azure/GCP.
  • Internship or academic project experience in AI/ML.

Education:

Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, Engineering, or a related field.

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