Junior Machine Learning Engineer

United States (Onsite / Hybrid / Remote Available)
Full-Time
Pay Range: $90,000 – $120,000 per year (based on experience, skills, and location)
Visa: H1B Sponsorship Available | STEM OPT & OPT Candidates Welcome

Position Overview

We are seeking a passionate and detail-oriented Junior Machine Learning Engineer to join our AI/ML team. This role is ideal for entry level candidates and early-career professionals who want to build, optimize, and deploy machine learning models in production environments.

You will work closely with Data Scientists, Data Engineers, and Software Engineers to develop scalable ML solutions that drive data-driven decision-making.

Key Responsibilities

• Develop, train, and evaluate machine learning models

• Perform data cleaning, preprocessing, and feature engineering

• Implement supervised and unsupervised learning algorithms

• Assist in deploying ML models into production environments

• Monitor model performance and retrain models as needed

• Work on model validation, experimentation, and A/B testing

• Collaborate with cross-functional teams in Agile/Scrum environment

• Document ML workflows and ensure reproducibility

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or related STEM field

• 0–2 years of experience (internship, research, or academic projects acceptable)

• Strong understanding of Machine Learning algorithms and fundamentals

• Knowledge of Probability, Statistics, and Linear Algebra

• Basic understanding of Data Structures and Algorithms

Technical Skills (ATS Keywords)

Programming Languages

• Python

• R (preferred)

• SQL

• Java (basic knowledge)

Machine Learning & AI Frameworks

• Scikit-learn

• TensorFlow

• Keras

• PyTorch

• XGBoost

• LightGBM

Data Processing & Big Data

• Pandas

• NumPy

• Apache Spark

• PySpark

• Hadoop

Advanced Techniques (Preferred)

• Deep Learning

• Natural Language Processing (NLP)

• Computer Vision

• Time Series Forecasting

• Recommendation Systems

• Transformer Models

• LLM fundamentals

Cloud & MLOps

• AWS (SageMaker, S3, EC2)

• Microsoft Azure ML

• Google Cloud AI Platform

• Docker

• Kubernetes

• MLflow

• CI/CD pipelines

• Model Deployment & Monitoring

Tools & Methodologies

• Git

• REST APIs

• Feature Engineering

• Model Evaluation Metrics

• A/B Testing

• Agile/Scrum

• Version Control

Preferred Qualifications

• Experience deploying ML models into production

• Exposure to MLOps best practices

• Knowledge of distributed systems

• Strong analytical and problem-solving skills

• Good communication and teamwork abilities

Compensation & Benefits

• Competitive salary: $90,000 – $120,000 annually

• Performance-based bonuses

• Health, Dental, and Vision insurance

• 401(k) with company match

• Paid Time Off (PTO)

• H1B transfer & new sponsorship support

• STEM OPT extension support

• Career growth opportunities in AI/ML domain

Equal Opportunity Employer

We are an Equal Opportunity Employer and welcome applications from diverse candidates, including international professionals requiring H1B sponsorship or STEM OPT support.