HiringCafe
Posted 1mo ago

AI Tech Partner (USA)

@ Tiger Analytics
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Jersey City, New Jersey, United States
HybridFull Time
Responsibilities:Lead delivery, Architect platforms, Drive MLOps
Requirements Summary:18+ years in AI/data science with consulting background; lead large-scale AI/data transformation; deep ML, cloud, data platforms; strong Python/SQL; MLOps; data privacy (GDPR/HIPAA); advanced degree.
Technical Tools Mentioned:TensorFlow, PyTorch, scikit-learn, Python, SQL, Spark, Databricks, Snowflake, BigQuery, dbt, AWS, GCP, Azure, MLflow, Kubeflow, Airflow
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Job Description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate about working on unstructured business problems that can be solved using data and are excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

We are seeking a highly experienced AI Tech Partner with 18+ years of experience to lead enterprise-scale AI and data transformation initiatives. This role blends deep technical expertise with strategic business leadership to drive innovation, build scalable AI ecosystems, and deliver measurable business value across client engagements.

Responsibilities

  • Act as a trusted advisor to C-level stakeholders, defining AI strategy, roadmaps, and transformation initiatives aligned to business goals
  • Lead end-to-end delivery of AI/ML solutions, from data discovery and modeling to deployment, monitoring, and continuous improvement
  • Architect and implement scalable data platforms (lakehouse, data mesh) and AI ecosystems leveraging cloud technologies (AWS, GCP, Azure)
  • Drive advanced analytics, machine learning, and GenAI use cases, including NLP, forecasting, optimization, and recommendation systems
  • Establish and scale MLOps practices, including CI/CD pipelines, model governance, observability, and lifecycle management
  • Translate complex business requirements into technical specifications, including data models, STTM, and transformation logic
  • Lead large, cross-functional teams across data engineering, data science, and analytics
  • Ensure responsible AI practices, including model explainability, fairness, privacy, and regulatory compliance
  • Identify new business opportunities, contribute to pre-sales, solutioning, and thought leadership
  • Mentor senior talent and build high-performing AI and data teams