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Posted on April 18, 2024

AI/ML Engineer Job #10225

Denver, CO Permanent Salary: $150,000 - $160,000 Per Year
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Bridgeview is currently seeking a AI/ML Engineer for one of our clients. If you love building and supporting technology solutions that make businesses successful, then read on for more details.

TITLE: AI/ML Engineer
LOCATION: Denver, CO (hybrid)
BENEFITS & PERKS: comprehensive medical, matching 401K, and volunteer paid time off

OVERVIEW
The AI/ML Engineer will play a pivotal role in providing expert guidance and support in advisory, strategy, and implementation of artificial intelligence (AI) and machine learning (ML) solutions. Responsibilities will span from advising clients on AI/ML adoption to developing strategic roadmaps and implementing cutting-edge solutions tailored to their unique needs. 
 
HOW YOU WILL MAKE AN IMPACT

  • Provide strategic advisory services to clients on the adoption and integration of AI/ML technologies. 
  • Assess clients’ business objectives and challenges to identify opportunities for AI/ML application. 
  • Offer insights into industry best practices, emerging trends, and potential use cases relevant to clients’ domains. 
  • Conduct feasibility studies and ROI analysis to evaluate the potential impact of AI/ML initiatives. 
  • Develop comprehensive AI/ML strategies aligned with clients’ business goals and technological capabilities. 
  • Collaborate with stakeholders to define clear objectives, KPIs, and milestones for AI/ML projects. 
  • Design strategic roadmaps outlining the phased implementation of AI/ML solutions, considering scalability and sustainability. 
  • Identify data sources, acquisition strategies, and data governance frameworks necessary for successful AI/ML deployment. 
  • Lead the implementation of AI/ML solutions from conception to deployment, ensuring adherence to best practices and industry standards. 
  • Design and develop custom machine learning models and algorithms tailored to specific business requirements. 
  • Work closely with data engineers and software developers to integrate AI/ML functionalities into existing systems or develop new AI-driven applications. 
  • Conduct rigorous testing, validation, and optimization of AI/ML models to ensure accuracy, reliability, and performance. 
  • Provide training and knowledge transfer to client teams to enable effective utilization and maintenance of deployed AI/ML solutions. 

 
REQUIRED EXPERIENCE

  • Proven experience in AI/ML consulting roles, with a focus on advisory, strategy, and implementation  
  • Proficiency in machine learning frameworks and tools such as TensorFlow, PyTorch, scikit-learn, etc. 
  • Solid understanding of statistical analysis, data mining techniques, and predictive modeling. 
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. 
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field.  
  • Strong problem-solving skills and the ability to translate business requirements into technical solutions. 
  • Excellent communication and interpersonal skills, with the ability to engage effectively with clients and stakeholders at all levels. 

 
ABOUT BRIDGEVIEW
BridgeView is a talent and technology consulting company that helps business leaders build exceptional technology teams and deliver complex projects with confidence.
 
Since 2005, BridgeView’s tenured recruiting team has built a vast network of niche technologists and executive leadership candidates to help our clients solve their most complex talent challenges. Paired with strategic consulting services, BridgeView further delivers project collaboration in the areas of people, process, and technology.
 
This blended approach allows clients to adjust in real-time to align with their budgets while receiving Big 5 expertise to meet their objectives.
 
BridgeView. Within Sight.

We are an equal opportunity employer and value diversity. All employment decisions are made due to qualifications, merit, and business need. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

 

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