Machine Learning Engineer

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