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)
- Kaggle participation, GitHub projects, or certifications