Machine Learning Engineer
Explore our Machine Learning Engineer opportunities! If you’re passionate about building intelligent systems, developing data-driven solutions, and collaborating across teams to turn complex problems into impactful technologies, we have exciting roles where your expertise will be critical. You’ll play a key role in designing, training, and deploying machine learning models that drive innovation, enhance operational efficiency, and fuel business growth.
Responsibilities:
- Analyze model performance, user interaction data, and market trends to inform model improvements, feature engineering, and prioritization of ML projects.
- Define and implement data privacy and security protocols to ensure ML models handle sensitive data responsibly and comply with relevant industry regulations.
- Collaborate with engineering and IT teams to integrate secure, scalable infrastructure for model training, deployment, and monitoring within production environments and third-party systems.
- Partner with cross-functional teams to design and enforce access controls, data permissions, and authentication mechanisms for ML pipelines and tools.
- Identify and implement opportunities for automation in data preprocessing, model training, evaluation workflows, and deployment processes.
- Maintain thorough documentation of model architectures, training parameters, data sources, deployment strategies, and decision-making rationales to support transparency and team alignment.
- Lead and participate in meetings with stakeholders to review ML strategies, gather feedback, and report progress on experiments, performance metrics, and deployment milestones.
Skills & Experience:
- Bachelor’s degree in computer science, data science, machine learning, or a related technical field.
- Strong analytical and problem-solving skills with the ability to interpret large datasets, define model performance metrics, and guide ML system improvements.
- Experience collaborating with cross-functional teams to develop and deploy machine learning solutions, with a solid understanding of software development workflows and MLOps practices.
- Familiarity with data analytics and monitoring tools such as TensorBoard, MLflow, Weights & Biases, or Looker.
- Proficiency in working with cloud platforms and tools for ML model training and deployment, including AWS (SageMaker), Azure ML, or Google Cloud (Vertex AI).
- Experience implementing security, privacy, and compliance standards in machine learning pipelines, especially in regulated or sensitive data environments.
- Skilled in conducting model evaluations, incorporating user feedback, and recommending improvements to boost model accuracy, scalability, and user impact.
Some of the Machine Learning Engineer Jobs We Hire For
As tech recruiters, we’re constantly hiring machine learning engineers who design, build, and optimize algorithms that turn data into smart, predictive systems. Below are just some of the machine learning roles we regularly recruit for:
- Machine Learning Engineer
- Senior Machine Learning Engineer
- Applied Machine Learning Engineer
- Deep Learning Engineer
- Computer Vision Engineer
- NLP (Natural Language Processing) Engineer
- Reinforcement Learning Engineer
- ML Infrastructure Engineer
- ML Ops Engineer
- AI/ML Software Engineer
- Predictive Modeling Engineer
- ML Research Engineer
- Data Scientist – Machine Learning
- Cloud Machine Learning Engineer
- TensorFlow Engineer
- PyTorch Engineer
- Recommendation Systems Engineer
- Speech Recognition Engineer
- ML Model Deployment Engineer
- Edge ML Engineer
- Real-Time ML Engineer
- ML Algorithm Engineer
- ML Automation Engineer
- AI/ML Product Engineer
EEO Employer
We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. We strictly prohibit and do not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, sexual orientation, gender (including gender identity and expression), marital or familial status, age, physical or mental disability, perceived disability, citizenship status, service in the uniformed services, genetic information, or any other characteristic protected under applicable federal, state, or local law. Applications from members of minority groups and women are encouraged.
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