Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands - on experience in applied ML research.
About the role
- Senior Machine Learning Engineer developing AI solutions for various market segments at Benner. Collaborating in a multidisciplinary team to innovate and enhance products.
Responsibilities
- Apply MLOps best practices, including data and code versioning, and model serving;
- Develop new end-to-end product features;
- Build robust, scalable code for production deployment;
- Create deployment and monitoring pipelines for models in production;
- Work with Generative AI solutions;
- Collaborate with multidisciplinary teams, demonstrating strong communication and teamwork.
Requirements
- Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Physics, or related fields;
- Proficiency in Python and SQL;
- Experience with cloud computing platforms (AWS, Azure, or GCP);
- Familiarity with RESTful APIs, containerization (Docker), and orchestration (Kubernetes);
- Strong experience with code versioning (e.g., Git);
- Knowledge of tools for monitoring models in production;
- Hands-on experience with MLOps and tools such as MLflow, Airflow, or similar;
- Ability to implement AI solutions in production environments, with a focus on scalability and security;
- Experience with LLM (Large Language Model) APIs;
- Good communication skills and ease working with multidisciplinary teams.
- **It is a plus if you have:**
- Knowledge of governance and security techniques applied to generative AI;
- Experience with RAG (Retrieval-Augmented Generation) and other advanced generative AI techniques;
- Knowledge of C# for integration with existing systems;
- Experience in agile environments and methodologies such as Scrum or Kanban.
Benefits
- Meal and grocery allowance
- Health and dental insurance
- Transportation allowance
- Daily breakfast provided
- Free parking
- Life insurance
- Birthday day off
- Corporate university
- Certification incentives (additional bonus)
- Allowances: education, wedding, childcare, maternity/paternity
- TotalPass program
- Maternity/paternity grant: newborn hospital discharge kit
- Fruit provided 3 times a week
- Company convenience store (Mercadinho da Confiança)
- Hybrid work model
- Partnership with Prisma Psicologia: exclusive rates for psychotherapy sessions for employees and dependents
- Profit-sharing bonus (PPR).
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Machine Learning Engineer focused on Machine Learning Ops for Autodesk software products. Building production infrastructures, ensuring AI - powered experiences, and collaborating with cross - functional teams.
Senior Machine Learning Engineer developing and deploying machine learning models for autonomous trucks. Collaborating with various teams to enhance safe and efficient decision - making in freight environments.
AI Engineer at PayPal designing, building, and deploying autonomous AI systems powered by LLMs. Collaborating across teams on AI engineering, distributed systems, and product development.
Machine Learning Engineer designing and deploying advanced training capabilities to support U.S. Navy operational readiness. Collaborate on machine - learning models to enhance combat system training environments.
Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
Staff AI/ML Engineer at CACI responsible for developing AI/ML algorithms and analyzing datasets. Join a high - performing team supporting national safety missions.
AI/ML Engineer at CACI developing machine learning algorithms for multiple applications. Collaborating with a research team to implement cutting - edge AI/ML solutions for customer missions.
Senior Computer Vision AI/ML Engineer leading a team in AI/ML algorithm implementation for remote sensing solutions. Responsibilities include training models and analyzing datasets with a focus on defense and commercial applications.