Machine Learning Engineer

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