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Machine Learning Engineer

2 months ago

Austin, Texas, United States Diversity Talent Scouts- Executive Search Firm Full time
About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at Diversity Talent Scouts, a leading Executive Search Firm. As a key member of our organization, you will play a pivotal role in advancing our AI/ML capabilities and driving business growth.

Key Responsibilities
  • Develop and Implement AI/ML Governance Model: Design and implement a comprehensive governance model for AI/ML initiatives, ensuring alignment with business objectives and regulatory requirements.
  • Design and Deploy Machine Learning Solutions: Develop and deploy scalable machine learning solutions using technologies such as SageMaker, AWS Glue, Copilot, Chat GPT, Open AI, and/or Microsoft AI technologies.
  • Measure and Communicate Business Impact: Analyze and communicate the business impact of AI/ML initiatives, driving continuous improvement and optimization.
  • Data Analysis and Insights: Analyze complex data sets, translate findings into actionable insights, and develop data-driven solutions to drive business outcomes.
  • System Performance and Security: Assess and monitor system performance, ensuring compliance with standards and protection against cybersecurity threats.
  • Complex Research Projects: Lead complex, data-driven research projects that influence business outcomes, driving innovation and growth.
  • Analytical Solutions: Develop and execute analytical solutions for diverse challenges, leveraging expertise in data science, statistics, and machine learning.
  • Machine Learning Model Development: Train, validate, test, deploy, and maintain machine learning models in production environments, ensuring scalability, reliability, and efficiency.
  • Stakeholder Collaboration: Organize and lead stakeholder meetings, collaborating with internal teams to achieve project goals and drive business outcomes.
  • Industry Knowledge and Expertise: Stay abreast of advancements in data science, statistics, machine learning, and AI, ensuring expertise in emerging technologies and trends.
Requirements
  • Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Engineering, Mathematics, or a related field.
  • Experience: Minimum of 3 years of experience in machine learning, with exposure to software engineering best practices.
  • Technical Skills: Proficiency in programming languages such as Python, Java, or C++, extensive experience with machine learning frameworks and libraries like TensorFlow, PyTorch, and Scikit-learn, solid understanding of software engineering principles, including version control (Git), testing, and CI/CD pipelines.
  • Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for deploying and managing machine learning models.
  • AI/ML Solutions: Expertise in designing, creating, and deploying AI and ML solutions, analyzing business requirements, recommending, and designing technical solutions.
  • Communication and Collaboration: Strong technical writing skills, excellent analytical and problem-solving abilities, adaptability to shifting priorities, demands, and timelines, ability to work independently or collaboratively within a team-oriented environment.
Preferred Skills
  • Large Language Models: In-depth knowledge of Large Language Models (LLMs), including architectures, training processes, and applications, experience with frameworks and tools such as GPT, BERT, or similar, and a deep understanding of fine-tuning techniques and deployment strategies.
  • Deep Learning Architectures: Experience with deep learning architectures and techniques.
  • Big Data Technologies: Familiarity with big data technologies such as Apache Spark, Hadoop, and Kafka.
  • System Design and Development: Strong system design skills and experience in building large-scale distributed systems, containerization (Docker), and orchestration (Kubernetes).
  • Domain Expertise: Knowledge of specific domains such as natural language processing, computer vision, or recommendation systems.
  • Project Management and Leadership: Strong project management and leadership abilities.