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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI / Machine Learning Engineer - **Company:** Mass Markets - **Location:** United States - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Computer Vision, Big Data, Cloud Computing, Program Optimization, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Distributed Systems, Python (Programming Language), Machine Learning, Recommender Systems, Tensorflow, Software Engineering, Cloud Platform System, Feature Engineering, Pytorch, Large Language Models, Deep Learning, Generative AI, Containerization, Scikit Learn, Information Technology, Xgboost, Machine Learning Operations, Software Version Control, Data Pipelines, Docker - **Published:** June 14, 2026 - **Apply:** https://www.juju.com/job/00000000g7z8i7 ## About the Role All positive, and driven applicants are encouraged to apply. The Ideal candidates for this position are highly motivated and dedicated and should possess the below qualities: + Bachelor's Degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, Artificial Intelligence, or a related field. + Minimum 3 years of experience developing machine learning or AI solutions. + Strong proficiency in Python and machine learning development practices. + Experience building, training, evaluating, and deploying machine learning models. + Knowledge of supervised, unsupervised, and deep learning methodologies. + Experience working with large datasets and data preprocessing techniques. + Understanding of statistical modeling, predictive analytics, and model optimization. + Experience integrating machine learning solutions into production environments. + Familiarity with software engineering principles and version control systems. + Knowledge of cloud computing platforms and distributed computing environments. + Strong analytical thinking and problem-solving capabilities. + Ability to communicate complex technical concepts to technical and non-technical stakeholders. Nice to Have + Experience with TensorFlow, PyTorch, Scikit-learn, XGBoost, or similar frameworks. + Experience with MLOps, CI/CD pipelines, and model lifecycle management. + Exposure to Generative AI and Large Language Models. + Experience with data engineering or ETL pipelines. + Knowledge of containerization technologies such as Docker and Kubernetes. + Familiarity with data visualization and reporting tools. + Experience in NLP, computer vision, or recommendation systems. + Industry certifications related to AI, machine learning, or cloud technologies., + Must be authorized to work in the country where the job is based. Subject to the program and location of the position + Must be willing to submit up to a LEVEL II background and/or security investigation with a fingerprint. Job offers are contingent on background/security investigation results. + Must be willing to submit to drug screening. Job offers are contingent on drug screening results. (Does not apply in Canada) ## Description Machine Learning Development + Design, develop, and deploy machine learning models that support business objectives and enhance operational performance. + Build and train supervised, unsupervised, and deep learning models. + Develop predictive analytics and intelligent automation solutions. + Perform feature engineering and data preparation activities. + Evaluate model performance and implement continuous improvements. Model Deployment & Production Support + Ensure machine learning solutions are scalable, reliable, and production-ready. + Deploy models into production environments. + Develop and maintain model serving infrastructure. + Monitor model performance and address drift or degradation. + Support model retraining and lifecycle management processes. Data Engineering & Optimization + Develop efficient data pipelines and workflows that support AI initiatives. + Collaborate with data teams to prepare and process large datasets. + Optimize data collection, transformation, and storage processes. + Ensure data quality and integrity across machine learning workflows. + Support integration with enterprise systems and platforms. Governance, Quality & Compliance + Maintain high standards of quality, security, and compliance across AI solutions. + Implement testing and validation procedures. + Ensure models align with governance and regulatory requirements. + Document methodologies, processes, and technical solutions. + Support responsible AI and ethical AI practices., Consistent with the Americans with Disabilities Act (ADA), it is the policy of MCI and its affiliates to provide reasonable accommodations when requested by a qualified applicant or employee with a disability unless such accommodations would cause undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment. If reasonable accommodations are needed, please contact Human Resources. ## Related Videos - [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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