Software and Machine Learning Engineer Job at MasteryHive

MasteryHive is building an AI-powered platform to upskill millions of learners into high-paying AI careers to build AI responsibly and improve billions of people’s lives.We are leveraging advanced AI to builda fully integrated and scalable platform offering cohort-based, hands-on and truly personalised learning experience.

We are recruiting to fill the position below:

Job Position: Software and Machine Learning Engineer
Job Location: Nigeria (Remote)
Employment Type: Contract
Contract Duration: 6 - 12 months initial contract

Job Description 


  • MasteryHive is seeking a highly skilled and experienced Software and Machine Learning Engineer to join our innovative team.
  • The ideal candidate will be a seasoned professional with a minimum of 5 years of experience in software development and machine learning.
  • This role requires a deep understanding of both software engineering principles and the intricacies of machine learning algorithms.

Responsibilities

  • Design, develop, and deploy robust and scalable software solutions using a combination of frontend, backend, and machine learning technologies.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
  • Build and maintain data pipelines to support machine learning model development and deployment.
  • Conduct thorough testing and performance evaluation of software and machine learning systems.
  • Develop and maintain complex machine learning and generative AI models using state-of-the-art techniques and tools.
  • Optimise machine learning models for performance, accuracy, and scalability.
  • Stay up-to-date with the latest advancements in software development and machine learning.

Qualifications
To qualify for the role you must have:

  • At least a Bachelor's degree in one of the following areas: Computer Science, Engineering, MIS, or related technical field with a minimum of 5 years of experience in software development.

Required Skills:

  • Programming Languages: Proficiency in JavaScript and TypeScript is essential.
  • Frontend Development: Expert-level knowledge of Next.js and Mantine for building high-performance and user-friendly web applications.
  • Machine Learning: Proven experience in applying machine learning techniques using Vertex AI and leveraging the Gemini Foundation LLM.
  • Backend Development: Strong understanding of Node.js and Koa frameworks for building scalable and efficient backend services.
  • Database Management: Expertise in PostgreSQL for data storage and retrieval.
  • Cloud Platform: In-depth knowledge of Google Cloud Platform (GCP) for deploying and managing cloud-based applications.
  • Other Technical Skills: Proficiency in additional relevant technologies such as Docker, Kubernetes, and cloud-based data processing tools (e.g., BigQuery, Dataflow) is preferred.

Soft Skills:

  • Problem-solving: Ability to analyse complex problems and develop innovative solutions.
  • Collaboration: Strong teamwork and interpersonal skills to work effectively with cross-functional teams.
  • Communication: Excellent written and verbal communication skills to convey technical information to both technical and non-technical audiences.
  • Adaptability: Ability to quickly learn and adapt to new technologies and challenges.
  • Attention to Detail: Meticulous approach to ensure high-quality deliverables

Other Skills:

  • The successful candidate will be a self-motivated and results-oriented individual with a passion for building cutting-edge software and machine learning solutions.
  • They will have a strong foundation in software engineering principles and a deep understanding of machine learning concepts.
  • They will be able to thrive in a fast-paced environment and contribute significantly to the success of the team.

Salary
Negotiable based experience.

Method of Application
Interested and qualified candidates should send their CV to: hello@masteryhive.ai using the Job Position as the subject of the mail.