Machine Learning Engineer

External

4flow · Campinas

Full-timeHybrid2w ago

AWSAzureDockerFeature EngineeringKubernetesLangChain

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Benefits

Come join us! As part of a highly international, fast-growing company with a vibrant corporate culture, you will enjoy a competitive base salary, an attractive bonus system, and a great benefits package that includes:Caju multi-benefit cardFuel or transportation allowanceComprehensive health and dental plans fully covered for employees and dependentsLife insuranceComprehensive well-being initiatives, including Wellhub, our Employee Assistance Program for mental health, and dedicated committees for health and well-beingOutstanding opportunities for your individual development (e.g., individual learning budget, access to LinkedIn Learning and internal training program)Hybrid working model for flexibility and work-life balanceAnd there is more!Exciting international projects as well as rapid career development and personal development planningCompany with German roots that offers a clearly defined vision and job securityTeam events and company getawaysFree fruit, snacks, drinks, and coffee at the officePermanent position (CLT)We are committed to equal opportunities and welcome applications from all individuals, regardless of age, gender, origin, disability, sexual orientation, religion, or any other legally protected characteristic.Ready for 4flow? Then please apply online. Please upload an English version of your resume when applyingHealth insuranceDental insuranceVision insurancePerformance bonus

Additional Information

What your new challenge will look like Design, develop, and implement AI-driven applications and services that address complex business challenges and generate value for customers. Collaborate with cross-functional teams, including product managers, data engineers, data scientists, and business stakeholders, to translate business requirements into AI-based solutions. Develop, integrate, and deploy AI models, algorithms, and APIs into scalable AI agentic designs Contribute to AI architecture design, including model selection, data pipelines, deployment strategies, and scalability considerations. Collaborate on the deployment, monitoring, and continuous improvement of AI-based solutions in cloud-native, production environments. Why you belong at 4flow Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field. 2+ years of hands-on experience in developing and deploying AI-driven applications in real-world environments. Strong programming skills in Python with experience building production-grade, maintainable software. Practical experience with AI/ML frameworks Solid understanding of AI/ML algorithms, model training, evaluation, and optimization techniques. Experience with RESTful APIs, AI model serving, and microservices-based architectures. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and cloud-native AI application deployment. Knowledge of containerization (Docker, Kubernetes) and MLOps best practices is a strong advantage. Experience with data pipelines, feature engineering, and integrating AI models into backend systems is a plus. Experience with AI agentic frameworks (LangChain, CrewAI, AutoGen) is a plus You communicate confidently in English You are available to work in a hybrid model at our Campinas office Your personal skills: Strong analytical and problem-solving skills, with a solution-oriented mindset. Ability to work across technical and business teams. High motivation, flexibility, and resilience, with a proactive approach to learning and applying new technologies. Ability to work independently and as part of a collaborative team on complex AI initiatives. Genuine motivation to contribute to 4flow's success and alignment with company culture and values.

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