Senior AI Developer

Precisely US Jobs-posted 3 months ago
1,001-5,000 employees
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Join the Precisely AI Innovation Lab team to advance strategic AI solutions that unlock growth and innovation in data integrity, such as data integration, data quality, location intelligence, data enrichment and more. You will work closely with product managers, designers, and engineers and will focus on rapid prototyping of AI-powered features for Precisely’s enterprise products. The prototypes address critical customer challenges and deliver solutions that leverage the power of AI.

  • Collaborate with cross functional teams (product management, user experience, engineering, field teams) and customers to propose, build and test fast-moving prototypes that bring AI ideas to life in Precisely products and create value for our customers
  • Leverage AI agents, generative AI, and traditional machine learning models to balance functional accuracy, speed, and cost in the prototypes
  • Evaluate new AI technologies, tools, models, and platforms such as AWS Bedrock, Azure OpenAI, Hugging Face, vector DBs and make recommendations for specific use cases
  • Track industry trends and research to guide innovation and experimentation, present it to internal teams and as part of ongoing Technology Knowledge sharing forum
  • Develop good understanding of competitive landscape in data management industry to drive AI/ML innovation in Precisely products
  • Provide technical leadership to engineering teams
  • Work in a fast-paced, agile team that embraces change and continuous learning
  • MS degree or higher in Computer Science, Data Science or a related field
  • 5+ years of professional software development experience, including 2+ years focused on applied AI/ML
  • Hands-on experience with LLMs, vector databases, RAG pipelines, AI agent frameworks
  • Experience with model evaluation methodologies, and benchmarking tools
  • Experience with cloud ML platforms, services and typical coding languages, such as AWS Bedrock, ML Flow, SageMaker, Azure ML, Python, SQL
  • Understanding of data science principles and basic statistical evaluation methods
  • Excellent communication skills and a collaborative mindset
  • Curiosity and drive to stay ahead in the fast-moving AI space
  • Experience with agentic AI frameworks and orchestration, e.g. Pydantic or crew.ai
  • Experience applying a range of AI/ML techniques and advanced analytics, including predictive modeling, deep learning, and data mining.
  • Experience with CI/CD pipelines and DevOps practices using GitHub Actions or similar
  • Knowledge of containerization using Docker
  • Domain experience in data integration, data quality, location intelligence, data enrichment
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