AI/ML Tech Partner (USA)

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.ResponsibilitiesAct as a trusted advisor to C-level stakeholders, defining AI strategy, roadmaps, and transformation initiatives aligned to business goalsLead end-to-end delivery of AI/ML solutions, from data discovery and modeling to deployment, monitoring, and continuous improvementArchitect 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 systemsEstablish and scale MLOps practices, including CI/CD pipelines, model governance, observability, and lifecycle managementTranslate complex business requirements into technical specifications, including data models, STTM, and transformation logicLead large, cross-functional teams across data engineering, data science, and analyticsEnsure responsible AI practices, including model explainability, fairness, privacy, and regulatory complianceIdentify new business opportunities, contribute to pre-sales, solutioning, and thought leadershipMentor senior talent and build high-performing AI and data teamsRequirements18+ years of experience in AI, data science, analytics, or data engineering, with significant consulting/services backgroundProven track record of leading large-scale AI and data transformation programs for enterprise clientsDeep expertise in machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn)Strong programming skills in Python and SQL, with experience in distributed data processing (Spark)Extensive experience with modern data platforms and tools (Databricks, Snowflake, BigQuery, dbt)Expertise in cloud-native architectures and services across AWS, GCP, or AzureHands-on experience with MLOps tools (MLflow, Kubeflow, Airflow) and production-grade deploymentsStrong understanding of data modeling, ETL/ELT pipelines, and data governance frameworksExperience with Generative AI (LLMs, prompt engineering, RAG architectures, vector databases)Industry agnostic experience in domains such as Retail, CPG, Insurance, Financial Services, Pharma & Life Science, SaaS, Manufacturing, Telecom, etcExperience with data privacy regulations (GDPR, HIPAA) and AI risk frameworksAdvanced degree in Computer Science, Data Science, Statistics, or related fieldKey CompetenciesStrategic leadership and executive communicationDeep technical problem-solving and architecture designClient relationship management and business developmentAbility to bridge business and technical teams effectivelyInnovation mindset with a focus on scalable, reusable solutionsBenefitsSignificant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.DisclaimerTiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.