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Entry Level AI/Machine Learning Engineer

Are you a recent graduate with a MS/MA in STEM (Specifically; AI, Data Science, or Machine learning) and want to put that degree to work?

 

Well, we have a role for you: 

Location

  • Arizona (On Site)
  • Looking for Local to AZ but open to those looking to relocate

Duration: Contract 12+ month role

 

Position:

This is an Entry Level position but looking for strong outside the box problem solvers that are passionate about leveraging data science and engineering to solve impactful, real-world problems? Join a dynamic and innovative team focused on designing cutting-edge machine learning (ML) solutions that enhance experiences for millions of people globally. This role offers the opportunity to grow your skills, work with leading technologies, and contribute to meaningful projects that shape the future of machine learning and artificial intelligence.

As part of this team, you’ll collaborate with talented engineers, data scientists, and product managers in a supportive and inclusive environment. You’ll gain hands-on experience with the latest ML frameworks, tackle challenging problems, and see your solutions come to life in production at scale.

Responsibilities:

In this role, you will be at the forefront of developing and deploying cutting-edge AI/ML solutions, driving digital engagement, and enhancing user experiences. You will have the opportunity to work with large, complex datasets, collaborate across cross-functional teams, and influence the strategic direction of machine learning and AI within the organization.

Machine Learning Development:

  • Spend the majority of your time coding and implementing reusable frameworks to accelerate machine learning adoption.
  • Design, build, and deploy scalable machine learning models, transitioning prototypes into production-ready systems.
  • Leverage expertise in Classical ML, Generative AI, Lang Chain, and Natural Language Processing (NLP) to develop and implement impactful AI/ML models.
  • Innovate and enhance existing workflows by integrating machine learning solutions for batch and real-time applications.
  • Experience in Generative AI: hands-on experience in developing and fine-tuning generative AI models (e.g. GANs, VAEs, transformers) or research projects in Generative AI.

Data Engineering & Optimization:

  • Work with large, complex datasets to build tools and products that improve user experiences.
  • Write, optimize, and maintain complex SQL queries and data pipelines; experience with NoSQL databases is a plus.
  • Implement highly scalable platform components using ML and deep learning models for applications such as Speech Recognition, NLP, and Time Series predictions.

Collaboration & Strategic Contribution:

  • Partner with cross-functional teams to integrate AI/ML into existing applications and improve functionality across the technology ecosystem.
  • Drive mobile and web-focused digital development to create customer-facing capabilities that deepen and expand digital engagement.
  • Help define and shape the strategic direction of machine learning and AI initiatives within the organization.

Technical Expertise & Best Practices:

  • Apply in-depth knowledge of machine learning algorithms, software architecture, libraries, and frameworks to achieve outlined goals.
  • Ensure rigorous documentation of data dictionaries, models, and code to maintain transparency and ease of understanding.
  • Demonstrate strong proficiency in Python and Java programming to develop robust software solutions.
  • Apply data science and engineering skills to solve complex problems with real-world impact.

 

Tech Skills

  • Sql/NoSQL
  • Java and or Python
  • Big Data
  • RestAPI and Services
  • Machine learning, Deep Learning, Reinforcement Learning, NLP, Optimization, Probabilistic Inference, Information Retrieval, Recommendation Systems
    • TensorFlow
    • Keras
    • Scikitlearn
    • H20.AI
    • MXNet
    • Caffe
    • Gluon
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • AI/ML models including Classical ML, Generative AI, Lang Chain and NLP.
  • Big Data ecosystem including Map-Reduce, Hive, Spark
  • Basic UNIX commands is necessary
  • GitHub and using CI/CD pipelines

Requirements:

  • Strong Python expertise with a proven track record of developing, optimizing, and scaling Python applications.
  • Extensive experience with popular Python libraries such as NumPy, TensorFlow, PyTorch, and Scikit-learn.
  • Ability to understand, interpret, and implement research papers or academic reports in AI.
  • Experience in developing and fine-tuning generative AI models (e.g., GANs, VAEs, transformers).
  • Strong analytical and problem-solving skills with the ability to work in a fast-paced, collaborative environment.

Qualifications:

  • Master's degree in STEM, AI, or Data Science
  • Must be Onsite in Arizona
  • Looking for candidates that do not require sponsorship but potential to sponsor for the right candidate
  • Must be willing to do a live coding challenge 

Soft Skills:

  • Strong Communication Skills: Able to convey ideas clearly and effectively across teams and stakeholders.
  • Proactive and Initiative-Driven: Takes ownership of tasks, identifies opportunities, and leads efforts to achieve goals.
  • Creative Problem-Solving: Excels in proposing and developing innovative solutions rather than waiting for direction.
  • Collaborative and Adaptable: Thrives in team environments and performs effectively in a fast-paced, dynamic workplace.

What would make you stand out for this role?

  • Having a background in hackathons in AI, Data Science and or Machine
  • Comfortable writing research papers or reports
  • Prior experience in Internships or Co-Ops in AI, Data Science or Machine learning environment
  • Certifications in AI, Data Science or Machine Learning
  • Have a portfolio of work on GitHub etc

 

If you’re excited to kickstart your career in machine learning and contribute to groundbreaking technology solutions, we encourage you to apply and join us on this transformative journey.