> Markdown version of [/jobs/ext/3691401-ai-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3691401-ai-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI / Machine Learning Engineer - **Company:** Marlowe Companies Inc. (mci) - **Location:** United States - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Computer Vision, Big Data, Cloud Computing, Software Code Optimization, Continuous Integration, 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:** October 11, 2026 - **Apply:** https://www.juju.com/job/1_massmarkets-50155 ## About the Role CANDIDATE QUALIFICATIONS WONDER IF YOU ARE A GOOD FIT FOR THIS POSITION? 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. PHYSICAL REQUIREMENTS This job operates in a professional office environment. While performing the duties of this job, the employee will be largely sedentary and will be required to sit/stand for long periods while using a computer and telephone headset. The employee will be regularly required to operate a computer and other office equipment, including a phone, copier, and printer. The employee may occasionally be required to move about the office to accomplish tasks; reach in any direction; raise or lower objects, move objects from place to place, hold onto objects, and move or exert force up to forty (40) pounds. CONDITIONS OF EMPLOYMENT All MCI Locations + 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. ## Description Our team uses people, technology and innovation to help organizations improve customer experience and business performance. We are seeking a highly analytical and technically skilledAI / Machine Learning Engineerto develop, deploy, and optimize machine learning solutions that drive business innovation and operational efficiency. This role is responsible for building scalable AI systems, developing predictive models, and transforming complex datasets into actionable insights that support strategic decision-making.You will collaborate with data scientists, software engineers, product teams, and business stakeholders to deliver robust AI solutions that solve real-world challenges and create measurable business value. To be considered for this role, you must complete a full application on our company careers page, including all screening questions and a brief pre-employment test. POSITION RESPONSIBILITIES Key Responsibilities: 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. Research & Innovation + Stay current with advancements in AI and machine learning technologies. + Evaluate emerging machine learning frameworks and tools. + Research innovative approaches to solving business challenges. + Recommend enhancements to AI architectures and development practices. + Contribute to continuous improvement initiatives across the AI function.