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Senior Developer

2 months ago


Atlanta, United States Motion Recruitment Full time

Position: Senior AI/ML Developer

Location: Atlanta, GA 30354 (2-3 days/week hybrid)

Term: 12 months contract


Join a dynamic and forward-thinking company located in Atlanta, GA, as a Senior AI/ML Developer on a 12-month contract. This role offers a hybrid work environment, requiring you to be onsite 2-3 days per week. If you have a passion for cutting-edge technology and innovation, this opportunity allows you to work with advanced AI and ML technologies within a collaborative and agile setting.


Are you a motivated and experienced AI/ML Developer looking for an exciting challenge? This position is perfect for someone who thrives in a fast-paced environment and enjoys building impactful solutions. You'll work with a team of experts dedicated to revolutionizing the travel experience through AI. This role not only offers technical growth but also provides a unique opportunity to influence the future of travel technology. Embrace the chance to work on groundbreaking projects while maintaining a healthy work-life balance.


Required Skills & Experience

  • 5+ years of work experience in Software Engineering.
  • 3+ years of work/educational experience in Artificial Intelligence/Machine Learning.
  • Experience with Agile Software Development Lifecycles and DevOps/DevSecOps.
  • Development experience on AWS, AWS Sagemaker required.
  • Experience with one or more general-purpose programming languages including but not limited to: Python, R, Scala, Spark.
  • Experience with one or more of the following: Natural Language Processing, sentiment analysis, classification, pattern recognition.
  • Development experience with AI frameworks such as TensorFlow, Microsoft CNTK, scikit, Keras, Caffe, Gluon, Torch.
  • Familiarity with GenAI technology stack, including frameworks for prompt engineering, guardrails for GenAI applications, and LLM fine-tuning.
  • Experience working with VectorDBs and other data infrastructure required to efficiently support Generative AI training pipelines and production applications.
  • Experience training and maintaining large language models.
  • Experience with production-grade development, integration, and support.
  • Experience and familiarity presenting to technical and business audiences.
  • Position open to ATL and MSP offices.

Desired Skills & Experience

  • Self-motivated with a strong sense of ownership.
  • Excellent communication and collaboration skills.
  • Ability to empathize with users and understand their needs.
  • Curious and innovative mindset.
  • Passion for travel and improving customer experiences.


What You Will Be Doing

Tech Breakdown

  • 50% AWS Development
  • 30% AI Frameworks (TensorFlow, Keras, etc.)
  • 20% General Programming Languages (Python, R, etc.)

Daily Responsibilities

  • 70% Hands-On Development
  • 20% Team Collaboration
  • 10% Management Duties


Responsibilities

  • Partner with cross-functional business and technology teams to understand the business landscape and drive AI opportunities.
  • Provide technical thought leadership and direction for AI solutions across various environments.
  • Collaborate with Architecture, Foundations, and Security teams to leverage industrialized design patterns.
  • Define, design, and capture data required for measurement of each solution.
  • Communicate critical information clearly and timely, ensuring shared understanding.
  • Deliver high-quality solutions with speed.
  • Work with business and product owners to engineer competitive technical solutions.
  • Design and build AI into technical solutions at scale within a team of engineers.
  • Contribute to the strategy around frameworks and technologies for each solution.
  • Document and communicate solutions effectively using various tools and methodologies.
  • Design, develop, monitor, and scale AI components, APIs, and loosely coupled applications.
  • Incorporate security standards, test-driven development, and pipeline deployment automation.
  • Mentor junior teammates and lead code reviews and continuous improvement efforts.
  • Analyze and implement performance, stability, and reliability initiatives.
  • Monitor metrics, trends, and costs to improve efficiency.
  • Plan, create, and execute automated test cases and load/performance testing.
  • Operate within Agile and Cloud Target squads on two-week sprints.
  • Own and support the solutions you build.