AI Engineer Mindtech is your gateway to exciting and impactful tech projects.
We specialize in end-to-end software outsourcing, linking Latin American talent with global opportunities.
Our fast, cost-effective approach ensures that our clients receive exceptional service and innovative solutions.
With a diverse team of over 70 skilled professionals across Latin America and the US, we are committed to delivering software that drives success.
Position Overview: We are seeking an AI Engineer with a passion for creating cutting-edge AI applications to join our dynamic team.
This role involves both product development and client consulting, with a focus on implementing and scaling generative AI use cases.
Key Responsibilities: ? Develop and deploy AI applications using advanced programming skills in Python and experience with frameworks like LangChain, llama-index, etc.
? Integrate state-of-the-art generative AI technologies, including LLMs, to enhance our product offerings and consulting services.
? Collaborate with cross-functional teams, including Data Scientists and Data Engineers, to design scalable solutions that address complex business challenges.
? Apply knowledge of NLP concepts such as embeddings, retrieval augmented generation, and named entity recognition to improve AI application performance.
? Ensure efficient model productionization in collaboration with MLOps and Data Engineering teams.
? Deploy and manage AI solutions using Kubernetes, ensuring high availability and performance.
? Keep abreast of the latest AI technology trends and advancements to drive innovation within the organization.
Desired Skills & Qualifications: ? Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field with a strong focus on AI/ML and NLP.
? At least 2 years of relevant experience in developing AI applications, with a portfolio demonstrating expertise in generative AI and NLP.
? Advanced proficiency in Python and familiarity with NLP libraries and frameworks.
? Experience with big data technologies (e.g., Apache Spark), cloud platforms (AWS, Azure, GCP), and data lake/delta lake architectures.
? Strong understanding of Kubernetes, containerization, and orchestration techniques.
? Excellent problem-solving skills, creativity in applying AI/ML techniques to business problems, and effective communication and teamwork abilities