A.I. Consultant

Company Description Lemay.ai is a specialized artificial intelligence service provider that focuses on designing and implementing intelligent, connected systems. We offer consulting services to corporate and enterprise clients, helping them develop and deploy machine learning projects. As part of our consulting process, we believe in imparting knowledge to our clients. Role Description This is a remote contract role for an A.I. Consultant at Lemay.ai. You will be responsible for providing specialized expertise in data science, natural language processing (NLP), and machine learning. Your day-to-day tasks will include collaborating with clients to develop and implement A.I. solutions, analyzing data and providing actionable insights, and leveraging your expertise to help clients optimize their A.I. initiatives. Qualifications Strong knowledge of natural language processing (NLP) and machine learning Experience in developing and deploying A.I. solutions Ability to analyze data and provide actionable insights Excellent problem-solving and critical thinking skills Strong communication and presentation skills Ability to work independently and remotely Experience in the technology or consulting industry is a plus Bachelor's or master's degree in computer science, data science, or a related field Skills (The more of these you have, the better) python3 functional and object-oriented programming approaches, design patterns, reliability, scaling, testing and observability Communication channel technologies: Kafka, gRPC, REST Infrastructure components: Kubernetes (ideally AKS), docker, CI/CD, Elasticsearch, MySQL/Postgres, and you know your way around a Linux server (e.g., git, SSH) Web stuff: JSON and familiarity with JS, HTML, CSS Data Pipelines, Java, neo4j, terraform, Azure/AWS/GCP, GitLab, JIRA, airflow, ELK, application server technology, software quality assurance and/or testing, TensorFlow/PyTorch, pandas Interview Process A take-home technical task will be assigned to candidates with aligned salary expectations. When sufficient applications have been received, the posting will be taken down while the pipeline of candidates completes their responses. Candidates will be ranked, and technical and compensation scores will be compared. Top candidates will be invited to a video call to discuss their applications. At this point, the company will be in a position to make an offer.