Data Scientist II (AI)

TL;DR

Data Scientist II (AI): Building and optimizing advanced analytics and AI solutions for complex business challenges across industries with an accent on developing impactful machine learning models and deploying them into production. Focus on translating business questions into analytical approaches, designing and implementing models from traditional ML to LLMs, and ensuring their accuracy, explainability, and performance.

Location: Must be based in one of the North America locations mentioned (e.g., Atlanta, Boston, Montreal, New York City, San Francisco, Seattle, Toronto, Washington DC)

Company

hirify.global, is a company focused on developing advanced analytics and AI solutions to solve complex business challenges for clients across industries.

What you will do

• Collaborate with clients and interdisciplinary teams to develop impactful advanced analytics and AI solutions.
• Translate business questions into analytical approaches and select appropriate techniques for each problem.
• Design, implement, and evaluate models from traditional machine learning to deep learning and LLMs.
• Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards.
• Document assumptions, communicate results, and collaborate with engineers to integrate solutions into applications.
• Optimize inference latency and cost through parameter-efficient tuning and accelerated serving stacks.

Requirements

• Bachelor’s degree in Computer Science with 2+ years of professional experience OR Master's/PhD in a discipline such as computer science, mathematics, statistics or electrical engineering.
• Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data.
• Development experience with SQL and Python’s data science stack; proficiency with Spark/PySpark for distributed workloads.
• Strong communication skills, both verbal and written, in English and local office language(s).
• Willingness to travel.

Nice to have

• GenAI experience including parameter-efficient tuning, RAG architectures, vector-store technologies, and LLM evaluation.
• Experience with technologies like Airflow, Databricks, Dask/RAPIDS, Docker, Kubernetes, and major clouds (AWS, GCP, Azure, Oracle).

Culture & Benefits

• Continuous learning and apprenticeship culture, backed by structured programs for professional growth.
• Opportunity for your ideas and contributions to make a tangible impact from day one.
• Access to a global community with colleagues across 65+ countries and 100+ different nationalities.
• Competitive salary and a comprehensive benefits package for holistic well-being.
• A high-performance, high-reward culture that fosters drive, determination, and resilience.