Machine Learning Engineer (Freelance | WFH)

Job Description

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunit yJoin our network as a Machine Learning Engineer and help startups build intelligent systems that learn from data and drive business outcomes. You'll work on real-world use cases across recommendation engines, predictive analytics, personalization, and generative AI—contributing to models that power scalable products . Role Overvi ewAs a Machine Learning Engineer, you wil l:Design, develop, and deploy machine learning models tailored to specific business nee dsBuild end-to-end ML pipelines from data preprocessing to inferen ceCollaborate with cross-functional teams to integrate models into production syste ms What You’ll DoTrain and evaluate models using frameworks like scikit-learn, XGBoost, PyTorch, or TensorF lowHandle data wrangling, feature engineering, and model optimizat ionSet up automated ML workflows and performance monitor ingDeploy models using APIs, cloud services, or containerized environme ntsContinuously improve accuracy, scalability, and runtime efficie ncy Technical Requirem ents3+ years of experience in ML engineering or applied data sci enceProficient in Python and ML frameworks such as scikit-learn, TensorFlow, or PyT orchExperience working with structured, unstructured, or time-series dataFamiliarity with cloud platforms (AWS, GCP, Azure) and model deployment t oolsBonus: experience with MLOps tools like MLflow, Airflow, or Kube flow What We’re Lookin g ForA problem-solving engineer who knows how to translate data into insights and ac tionsA freelancer who can own ML components end-to-end and communicate clearly with stakeho ldersSomeone who thrives in agile, product-focused startup environ ments Why J oin UsBuild ML solutions that make a real impact on products and usersFully remote and flexible freelance opportu nitiesGet matched with future ML roles across a range of industries and use casesJoin a forward-looking network shaping the future of applied machine le arning Ready to turn data into intelligent action? Apply now to become a Machine Learning Engineer with BeGig. Show more Show less