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Machine Learning Engineer

Webologix Ltd/ INC

Location

Remote

Salary

Not specified

Type

fulltime

Posted

Today

via linkedin

Job Description

We Are Hiring: AI / Machine Learning Engineer (Entry-Level \| 0–5 Years)

We are hiring

Master’s students

who are looking to start their professional career in the

US IT industry

in the field of

Artificial Intelligence \& Machine Learning

. This opportunity is ideal for candidates with strong ML fundamentals, academic projects, or internship experience and a passion for solving real-world problems using data.

Location:

Remote / Onsite (Client Requirement – USA)

Employment Type:

Full-Time (W2)

Experience Level:

Entry-Level / 0–5 Years

Key Responsibilities

  • Assist in developing, training, and evaluating ML/AI models
  • Work with large datasets for data preprocessing and feature engineering
  • Implement machine learning algorithms under senior guidance
  • Support model testing, validation, and performance tuning
  • Work on client-driven and internal AI/ML projects
  • Create basic reports, visualizations, and model insights
  • Follow SDLC, ML best practices, and documentation standards
  • Collaborate with data scientists, engineers, and business teams

Required Skills \& Qualifications

Master’s degree (completed or pursuing)

in Data Science, AI, ML, Computer Science, Engineering, or related fields

  • Strong programming knowledge in

Python

  • Understanding of

Machine Learning concepts

(supervised, unsupervised, model training/testing, overfitting, etc.)

  • Knowledge of

statistics, probability, and linear algebra

  • Familiarity with

Pandas, NumPy, Scikit-learn

  • Basic knowledge of

SQL and databases

  • Good communication skills (important for US clients)
  • Strong willingness to learn and adapt

Preferred / Nice to Have

  • Academic or internship projects in

AI / ML / Data Science

  • Exposure to

TensorFlow, PyTorch, Keras

  • Knowledge of

Deep Learning, NLP, or Computer Vision

  • Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau)
  • Cloud exposure (AWS / Azure / GCP – ML services preferred)
  • Kaggle participation, GitHub projects, or certifications

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