Principal Engineer - ML/AI
Simple Technology Solutions
๐Remote - Worldwide
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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
- Bachelorโs or Masterโs 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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