AI Engineer
Explore our AI Engineer opportunities! If you’re passionate about developing intelligent systems, creating data-driven solutions, and working collaboratively with cross-functional teams to solve complex challenges, we have exciting roles where your expertise will be crucial. You’ll be instrumental in designing, training, and deploying AI models that drive innovation, optimize processes, and support business growth.
Responsibilities:
- Analyze model performance, user interaction data, and market trends to inform model improvements, feature engineering, and prioritize ML project goals.
- Define and implement data privacy and security protocols to ensure ML models responsibly handle sensitive data and comply with industry regulations.
- Collaborate with engineering and IT teams to integrate secure, scalable infrastructure for model training, deployment, and monitoring in 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 to automate data preprocessing, model training, evaluation workflows, and deployment processes.
- Maintain detailed documentation of model architectures, training parameters, data sources, deployment strategies, and decision-making rationales for team transparency and alignment.
- Lead and participate in meetings with stakeholders to review ML strategies, collect feedback, and report on progress, 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 AI Engineer Jobs
We Hire For
As tech recruiters, we connect innovative companies with skilled AI professionals who build and deploy intelligent systems. Here are just some of the roles we recruit for:
- Machine Learning Engineer
- Deep Learning Engineer
- Computer Vision Engineer
- Natural Language Processing (NLP) Engineer
- AI Research Scientist
- Robotics Engineer
- Data Scientist
- AI Software Engineer
- Reinforcement Learning Engineer
- Applied AI Engineer
- Cognitive Computing Specialist
- AI Solutions Architect
- Speech Recognition Engineer
- AI Model Trainer
- Predictive Analytics Engineer
- Conversational AI Engineer
- Multimodal AI Engineer
- AI Product Engineer
- Computer Scientist – AI Focus
- Machine Learning Infrastructure Engineer
- AI Quality Assurance Engineer
- AI Ethics Specialist
- Algorithm Engineer
- AI/ML DevOps Engineer
- Chatbot Developer
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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