AI Infrastructure Architect

Job Title: AI Infrastructure Architect

Locations: St. Petersburg, FL Or New York, NY Or Denver, CO Or Southfield, MI Or Memphis, TN (Hybrid)

Duration: 8-12 Months (Temp to Perm)

Employment: W2 only (no C2C or third-party)

As part of the enterprise innovation labs, the ML Engineer is responsible for technology innovation and the next generation AI automation platforms by employing data analytics and various data science capabilities (machine learning, deep learning). The role involves building predictive products, cutting-edge models for textual data, writing production code, ensuring ML system reliability, mentoring team members, and educating business stakeholders.

Knowledge of: Core programming expertise such as python (NumPy, SciPy, Pandas) or R; advanced machine learning methods in NLP; strong statistical skills; effective communication; and experience in Financial Services preferred.

Skills: Proven NLP machine learning skills including Transformer, BERT, k-shot learning, XGBoost, TensorFlow, PyTorch, Keras, Elasticsearch; experience with Spark, Kafka, Mongo, Neo4j, AWS ecosystem; ability to work independently remote and communicate effectively.

Education: Bachelor's degree in Statistics, Mathematics, Computer Science, MIS or related with 2+ years experience or equivalent combination; Master preferred with 4+ years experience.