Principal Engineer - ML/AI

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Simple Technology Solutions

๐Ÿ“Remote - Worldwide

Job highlights

Summary

Join Simple Technology Solutions as a Principal Engineer - ML/AI and spearhead the design, development, and deployment of cutting-edge machine learning and AI solutions. Leverage your expertise in NLP and machine learning to drive innovation and thought leadership within the company. Collaborate with cross-functional teams to deliver solutions that meet both technical and business needs. Mentor junior team members and foster a collaborative environment. This role requires over 15 years of experience in ML/AI, a strong command of programming languages and cloud platforms, and a proven ability to deliver measurable business outcomes. Simple Technology Solutions offers a flexible work environment and industry-leading benefits.

Requirements

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, Data Science, or related technical field; PhD is a plus
  • Over 15 years of hands-on experience in architecting, designing, and deploying scalable ML/AI solutions
  • Proven expertise in developing machine learning algorithms and NLP tools that drive business outcomes
  • Strong command of programming languages such as Python, R, Java, or Scala
  • Proficiency with ML/AI frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Deep familiarity with cloud platforms (AWS, Azure) and big data technologies (Hadoop, Spark, Kafka)
  • Expertise in deploying and scaling ML/AI solutions in cloud environments
  • Experience leading teams of AI developers, driving collaborative projects, and mentoring junior staff
  • Proven ability to implement ML/AI solutions that achieve measurable efficiency results, including improved operational workflows and better business decision-making
  • Excellent communication skills, with a proven ability to explain complex technical concepts to non-technical audiences
  • Able to influence senior leadership and stakeholders through compelling data and Insights
  • Published papers, articles, or research in ML/AI journals or prominent conferences
  • Experience as a speaker at ML/AI conferences

Responsibilities

  • Spearhead the design, development, and deployment of ML/AI models, particularly in natural language processing (NLP) and machine learning
  • Drive innovation and thought leadership by publishing research, presenting at conferences, and contributing to high-impact AI projects
  • Collaborate closely with cross-functional teams, including product management, engineering, and business stakeholders, to develop solutions that meet both technical and business needs across multiple platforms (e.g., Microsoft, NVIDIA)
  • Lead the design and development of machine learning algorithms from prototyping to rigorous training, validation, and deployment
  • Optimize models to deliver measurable business outcomes such as enhanced decision-making, efficiency improvements, and cost reductions
  • Provide leadership and mentorship to junior team members and AI developers
  • Foster an environment of collaboration, technical excellence, and continuous learning
  • Oversee the management of ML/AI projects, ensuring seamless data collection, preprocessing, and quality assurance to uphold data integrity
  • Implement robust data handling protocols and security measures
  • Ensure that implemented models and AI tools drive quantifiable efficiency gains and business outcomes
  • Deliver ML/AI solutions that scale effectively, with a focus on operational impact and measurable results
  • Maintain an active presence in the ML/AI community
  • Stay current with emerging trends, methodologies, and technologies, ensuring that the company remains at the cutting edge of ML/AI innovation
  • Publish relevant thought leadership content, papers, and blogs in the ML/AI domain
  • Present research and innovations at industry conferences, positioning the company as a leader in the ML/AI space

Preferred Qualifications

  • AWS Certified Data Engineer
  • Microsoft Certified: Azure AI Engineer Associate
  • AWS Certified Machine Learning โ€“ Specialty
  • Databricks Certified Professional Data Scientist

Benefits

  • Flexible work environment
  • Industry-leading benefits

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