Lead AI Engineer
OTAKOYI is looking for a smart and an eager Lead AI Engineer to join our project team. We like challenges and self-development. If you like it too, donβt hesitate, join us!β
Main Responsibilities:
β Communication with Stakeholders;
β Work with RND Team;
β Design, develop NLP/ML applications;
β Collaborate with a team and client to ensure prompt alignment with project goals and user needs;
β Monitor and analyze performance to identify areas for improvement;
β Optimize AI prompt generation process to enhance overall system performance;
β Stay up-to-date on the latest advancements in AI, natural language processing and machine learning;
β Provide support to teams in understanding prompt engineering best practices;
β Draft and distribute reports on prompt performance and development progress
Requirements:
β Experience in Natural Language Processing / Machine Learning;
β Proficient in Python and expertise in libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, and Keras;
β Proven work experience as a AI Prompt Engineer, Data Scientist or similar role(at least 3 years);
β English Level β Upper-Intermediate Strong β priority C1 Level (both spoken, written and reading as well);
β Experience with cloud platforms like AWS, Azure, Google Cloud, and familiarity with big data technologies including Hadoop and Spark;
β Modelling and DevOps experience for Machine Learning;
β Experience with latest LLM models currently being rolled-out in consumer-facing generative AI tools;
β Experience with AI tools and APIs like OpenAI (ChatGPT, Dall-e), DeepL or similar;
β Experience with LangChain and LangSmith;
* Experience with Docker and deploying APIs to cloud (will be a plus);
β Comprehensive understanding of natural language processing, machine learning and AI-generated content development;
* Relevant training and/or certifications in computer science, AI or a related field (will be a plus);
β Excellent problem-solving and analytical skills;
β Ability to collaborate effectively with cross-functional teams;
β Ability to dive deep and understand the business side of the project;
β Be able to communicate with stakeholders directly and independently;
* Experience in writing academic papers, publications (will be a plus);
* Experience working on healthcare/medical tasks previously (will be a plus);
β Provide clear documentation of processes, workflows, recommendations, etc.
Recruitment process:
1. Pre-Screening Interview with Recruiter (up to 30 minutes)
*Optional English Check with English Teacher
2. Tech-Interview with CTO and PM (up to 1 hour)
3. Client-Interview (up to 1 hour)
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