Location
Remote
Salary
Not specified
Type
fulltime
Posted
Today
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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