Machine Learning Engineer

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February 14

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Tiger Analytics

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Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. • You will be responsible for: • Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions • Creating Scalable Machine Learning systems. • Building reusable production data pipelines for implemented machine learning models. • Writing production-quality code and libraries that can be packaged as containers, installed and deployed. • You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

🎯 Requirements

• MLE Skillsets needed: • Good exposure to Model development and deployment • Experience developing API’s • Python based application using CICD • AWS or Google cloud environment experience • Required Skills: • Proficiency in SQL, Python, and MLOps. • Experience with AWS services, including SageMaker • Familiarity with DevOps concepts and cloud based CI/CD tools • Knowledge of Snowflake and Oracle databases. • Experience with GitHub for version control. • Strong understanding of Agile methodologies. • Preferred Qualifications: • Passion for learning and staying updated with new technologies. • Persistent and proactive approach to problem-solving. • Strong analytical mindset. • Knowledge of the insurance industry is a plus. • Exposure to GenAI and LLMOps(Large Language Model Operations) a differentiator, but not required.

🏖️ Benefits

• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.