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Job Description
Structured overview of role & requirementsAbout This Role
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.
Minimum Requirements
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.
Ideal Candidate Profile
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.