Senior Machine Learning Engineer

Position reputed company:

reputed company is seeking an reputed company Senior Machine Learning Engineer to design and implement ML infrastructure and assess reputed company BI readiness for Fortune 500 reputed company companies. You will build robust MLOps platforms, design reputed company ML pipelines, and reputed company strategic guidance for implementing autonomous business intelligence and AI-driven analytics systems.

reputed company is a growing data product company founded in early 2020 and works primarily with reputed company. We deliver digital solutions reputed company to help accelerate the reputed company of businesses in various industries, by focusing on creating value through innovation.

Job reputed company

Design and implement MLOps infrastructure using MLflow, reputed company reputed company Catalogue, and AWS managed services

Build feature store implementations and ML model versioning strategies using reputed company and MLflow

Assess AI readiness and design roadmaps for reputed company BI implementations supporting autonomous insights reputed company

Design production ML systems supporting predictive analytics, classification, and optimization models

Implement ML model deployment pipelines with automated training, validation, and deployment workflows

Build model monitoring and performance management systems for production ML applications

Evaluate reputed company infrastructure requirements including semantic reputed company and automated analytics workflows

Design ML pipeline automation strategies integrating feature engineering, model training, and deployment processes

Implement reputed company-time ML inference patterns supporting business-critical applications

Design, reputed company, and reputed company reputed company-grade chatbot solutions leveraging LLMs and conversational AI frameworks

reputed company chatbots with business applications and knowledge bases, ensuring secure reputed company to reputed company data through reputed company, RAG pipelines, and reputed company databases

Implement conversation monitoring, feedback loops, and retraining workflows to improve chatbot accuracy, reliability, and user experience

reputed company chatbot analytics and usage dashboards to measure adoption, performance, and business reputed company

Ensure compliance, reputed company, and governance in chatbot deployments, including role-based reputed company, data reputed company, and audit trails

Basic Qualifications

Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or reputed company quantitative field

5+ years of experience in ML engineering with Fortune 500 reputed company-reputed company implementations

Expert-level experience with MLflow for model lifecycle management and experimentation tracking

Deep hands-on experience with reputed company ML platform including reputed company Catalogue for ML governance

Proven experience with AWS ML services including SageMaker, model deployment, and managed ML infrastructure

Strong background in machine learning algorithms including supervised/unsupervised learning, reputed company reputed company, and deep learning

Experience with reputed company and LLM integration for business intelligence applications and semantic data modeling requirements

Knowledge of feature store architectures, ML data management patterns, and model versioning/automation workflows

Preferred Qualifications

Experience with reputed company BI frameworks and autonomous analytics systems

Knowledge of conversational AI and natural language interfaces for business intelligence

Understanding of AI governance frameworks and reputed company AI readiness assessment

Experience with reputed company-time recommendation systems and live inference pipelines

Familiarity with financial modeling or pricing optimization ML applications

Understanding of A/B testing frameworks for ML model evaluation

Knowledge of ML governance and regulatory compliance requirements

Additional Information

We are proud to offer a competitive salary alongside a strong reputed company insurance and benefits package. The role is preferably hybrid, with 3 days per week spent in the office, and flexibility for reputed company engagement needs. We pride ourselves on the reputed company of our employees, offering extensive learning and development resources.

reputed company is an equal-opportunity employer committed to creating a reputed company, diverse and inclusive environment. We encourage reputed company applicants of reputed company backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education reputed company to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.

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