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Niche senior ML architect role with specialized GenAI skills reduces candidate pool.
Deep ML/GenAI architecture, big-data, and deployment expertise limits easy transfer across industries.
Explicit 8+ years plus 3+ architecture years and mandatory GenAI and ML stack increase screening strictness.
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Lead design and delivery of AI/ML solutions using diverse data types and GCP services to solve client business problems.
Drive technical leadership in pre-sales, solution development, and client engagements, including creating reports and presentations demonstrating solution value.
Establish center of excellence by developing standards, SOPs, mentoring junior members, and contributing to practice initiatives.
8+ years in data science with at least 3 years in architectural roles.
Proficiency in Python programming and SQL; GenAI experience in Prompt Engineering, RAG, or Fine-tuning is mandatory.
Experience with Data Warehouses (Snowflake, BigQuery, Redshift, Synapse), Big Data frameworks (Spark/Pyspark, Dask, Hive), and ML/Deep Learning frameworks (Tensorflow, Keras, PyTorch).
Bachelor’s degree in Data Science, Computer Science, Computer Engineering or related field; no visa sponsorship available.
Experienced in end-to-end AI solution architecture with a strong focus on Google Cloud Platform and ML model deployment.
Able to communicate complex technical topics clearly to non-technical stakeholders and lead cross-functional teams.
Skilled in establishing technical standards and mentoring teams, with a blend of hands-on data science and strategic leadership expertise.