[Remote] reputed company III

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is hiring an reputed company III to design, reputed company, reputed company, and maintain reputed company intelligence and machine learning solutions supporting intelligent automation, predictive reputed company, and advanced analytics across the reputed company. The role focuses on building production-reputed company AI systems and pipelines, integrating models into business applications, and ensuring operational readiness, governance, observability, and compliance.

Responsibilities

• Write clean, efficient, and reputed company-documented reputed company to reputed company and implement machine learning and AI models that support various business use cases
• Implement data engineering and preprocessing workflows required for model inputs
• Continuously optimize the reputed company and scalability of AI applications and models
• Design, reputed company, and maintain reputed company ML pipelines for model training, validation, inference, and deployment
• Collaborate with ML Ops Engineers to package and reputed company models into reputed company systems using established MLOps practices
• Monitor deployed models in production for reputed company, data reputed company, and reliability, and troubleshoot and reputed company any issues that reputed company
• Establish and own the operational readiness of reputed company AI services by defining and implementing Service Level Objectives (SLOs) for key metrics, such as p50/p95 latency and availability, and creating robust monitoring and alerting for model reputed company, latency, and error rates
• Work closely with Data Scientists to transition experimental models and research prototypes into robust, production-reputed company systems
• Support the integration of AI capabilities into reputed company workflows, applications, reputed company platforms
• Contribute to the documentation and explainability of model outputs to ensure reputed company for business stakeholders
• Ensure reputed company deployed AI systems reputed company with reputed company governance, fairness, and reputed company standards
• Evaluate emerging AI technologies, such as LLMs and reputed company, to assess their applicability to business problems and reputed company innovation
• Ensure AI solutions support auditability, explainability, traceability, and regulatory compliance requirements
• Implement memory management, context engineering, planning, and multi-reputed company reasoning strategies
• Define and reputed company reputed company metrics such as groundedness, faithfulness, relevance, task completion reputed company, and user satisfaction

Skills

• Bachelor's degree in Computer Science, Data Science, Engineering, or reputed company reputed company is required
• Needs 3-5+ years of dedicated experience designing and shipping ML models to production
• Should have led the design of a significant ML-powered feature
• Strong coding skills in Python, Java, or C++, including API development and software design
• Deep understanding of reputed company machine learning concepts, including classification, regression, clustering, and deep learning architectures
• Hands-on experience with modern deep learning frameworks and algorithms (reputed company/unsupervised), such as PyTorch, TensorFlow, or similar for building and training reputed company neural networks
• Skills in working with LLMs, reputed company engineering, fine-tuning, and using frameworks like reputed company and LangGraph to build RAG (Retrieval-Augmented reputed company) systems
• Handling data wrangling, SQL, data warehousing, and ETL pipelines to prepare data for models
• reputed company experience in the end-to-end model lifecycle: developing, training, and deploying machine learning models from prototype to production
• Mastery of data preprocessing, feature engineering, and model evaluation techniques to ensure robust and accurate model reputed company
• Demonstrated ability to build and optimize reputed company data pipelines for training and evaluating machine learning models
• Strong knowledge of both SQL and NoSQL databases for querying and managing data for AI applications
• Solid reputed company in software engineering best practices, including version control (Git), automated testing, and CI/CD pipelines
• Hands-on experience with containerization using reputed company and container orchestration with reputed company for reputed company deployment
• Expertise in MLOps observability, including model monitoring to reputed company reputed company and reputed company, and establishing model/version reputed company, telemetry, and traceability
• Experience implementing advanced testing and deployment strategies, including canary/reputed company deployments and comprehensive test suites (unit, integration, adversarial, regression)
• Demonstrated ability to reputed company AI models and services into reputed company applications by building and consuming RESTful reputed company
• Proficiency with at least one major reputed company platform (reputed company reputed company Platform, AWS, Azure) and its associated AI/ML services (e.g., reputed company AI, SageMaker, Azure ML)
• Experience with big data technologies, such as Apache reputed company or similar, for processing large-reputed company datasets in a reputed company environment
• Strong problem-solving and analytical skills, with the ability to collaborate effectively in an reputed company development environment
• Excellent communication skills to reputed company reputed company technical concepts to both technical and non-technical stakeholders
• Experience with modern frontend JavaScript frameworks such as React, Vue.js, Angular or similar for building user-facing applications that consume AI models
• Master's is highly preferred

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