Machine learning Engineer Position Available In Broward, Florida

Tallo's Job Summary: Join our team as a Machine Learning Engineer to design, build, and deploy ML models driving business decisions and intelligent products. Collaborate with data scientists, software engineers, and product managers. Requirements include a Bachelor's or Master's in Computer Science, 3+ years of ML/AI experience, Python proficiency, and familiarity with MLOps tools. Robert Half is hiring for this role.

Company:
Robert Half
Salary:
JobFull-timeOnsite

Job Description

Description About the

Role:

We are seeking a highly motivated and skilled Machine Learning Engineer to join our growing data science and AI team. In this role, you will design, build, deploy, and maintain machine learning models that drive critical business decisions and power intelligent products. You’ll work closely with data scientists, software engineers, and product managers to translate business challenges into scalable ML solutions.

Key Responsibilities:

+ Design and develop machine learning models for classification, regression, clustering, recommendation, or NLP tasks + Build and optimize data pipelines for training and inference workflows + Collaborate with data scientists and analysts to select features, engineer data, and validate models + Implement model monitoring, retraining pipelines, and performance optimization + Deploy ML models to production environments using MLOps tools and frameworks + Work with large-scale data sets and leverage cloud computing platforms (AWS, GCP, Azure) + Maintain documentation and ensure reproducibility and scalability of solutions + Stay up-to-date on the latest advancements in machine learning, deep learning, and AI technologies

NO THIRD PARTY VENDORS!

!

Requirements Qualifications:

+ Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field (Ph.D. a plus) + 3+ years of experience in machine learning, data science, or AI engineering + Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, or XGBoost + Experience with SQL and working with relational and non-relational databases + Strong understanding of algorithms, statistics, and data structures + Hands-on experience with cloud platforms (AWS Sagemaker, Azure

ML, GCP AI

Platform) + Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes) + Experience with version control (Git) and model evaluation techniques + Excellent problem-solving, communication, and collaboration skills Preferred (Nice to Have): + Experience with Natural Language Processing (NLP), computer vision, or reinforcement learning + Exposure to generative AI and LLMs (e.g., OpenAI, Hugging Face Transformers) + Knowledge of data engineering tools (Spark, Snowflake, dbt) + Familiarity with CI/CD pipelines for ML model deployment Technology Doesn’t Change the World, People Do.® Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity – whenever you choose – even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “,” you’re agreeing to Robert Half’s Terms of Use (https://www.roberthalf.com/us/en/terms) .

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