Job Description

Description The Machine Learning Engineer will be responsible for creating and implementing scalable machine learning models to support our business objectives. You will collaborate with data scientists, engineers, and product teams to build intelligent systems that process large-scale data and provide actionable insights. Key Responsibilities: + Design, develop, and optimize machine learning models and algorithms for real-world applications. + Build and maintain scalable data pipelines to preprocess, clean, and analyze large datasets. + Deploy, monitor, and maintain machine learning models in production environments. + Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. + Conduct experiments and performance evaluations to improve model accuracy, efficiency, and scalability. + Leverage cloud platforms (AWS, Azure, GCP) and tools for model deployment and MLOps. + Document processes, methodologies, and results for reproducibility and knowledge sharing. + Stay up-to-date with the latest advancements in AI/ML technologies and incorporate them into projects as needed. Requirements + Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related fields (or equivalent experience). + Strong programming skills in Python (preferred) or similar languages. + Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. + Solid understanding of ML algorithms, including supervised, unsupervised, and deep learning methods. + Experience with data preprocessing, feature engineering, and model optimization techniques. + Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes). + Familiarity with big data tools like Spark, Hadoop, or equivalent. + Knowledge of cloud platforms (AWS, GCP, Azure) for deploying and managing ML solutions. + Excellent problem-solving and communication skills. Preferred Qualifications: + Experience with Natural Language Processing (NLP) or Computer Vision techniques. + Knowledge of reinforcement learning, generative AI, or large language models (LLMs). + Familiarity with database systems (SQL, NoSQL) and data warehousing tools. + Exposure to version control systems (e.g., Git) and CI/CD pipelines for model development. + Relevant certifications (e.g., AWS Certified Machine Learning, TensorFlow Developer Certificate). 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 ( 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 "Apply Now," you're agreeing to Robert Half's Terms of Use ( .

Job Tags

Permanent employment, Contract work, Temporary work,

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