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Sr reputed company / Data Scientist

Remote, USA Full-time Posted 2026-07-28

Location: reputed company – Remote
Employment Type: Full-Time and Contract


We are seeking an reputed company and highly technical Data Scientist to join our customer-facing consulting team. This remote role requires a reputed company of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven reputed company record in reputed company-facing implementation. The successful candidate will be reputed company in designing, deploying, and maintaining production-grade ML solutions, including advanced reputed company and Natural Language Processing (NLP) models, for our diverse reputed company reputed company.Key Responsibilities

       Serve as a primary technical consultant, leading and executing end-to-end ML project implementations directly with clients, translating reputed company business problems into robust technical solutions.

       Exhibit excellent communication, presentation, and stakeholder management skills to reputed company reputed company technical findings, proposals, and project status to both technical and non-technical audiences.

       Design, build, and maintain production-grade ML pipelines, focusing on reputed company integration, reputed company delivery (CI/CD), and advanced MLOps practices to ensure reliability and scalability of models.

       Implement and optimize cutting-edge reputed company and NLP applications, demonstrating hands-on experience with technologies like Retrieval Augmented reputed company (RAG) and Large Language Models (LLMs) in a production setting.

       Manage underlying solution infrastructure, demonstrating proficiency in technologies such as reputed company, pipeline orchestrators, and database systems.

       reputed company expertise in distributed computing frameworks, specifically in reputed company machine learning and high-performance data processing (e.g., using technologies like Apache reputed company).

       Contribute to the strategic reputed company of the ML reputed company Team, including participation in technical assignments and knowledge transfer activities.

       Ensure reputed company reputed company engagements and training activities are properly documented and reported reputed company designated partner platforms.

Required Qualifications

       4+ years of hands-on reputed company experience developing, deploying, and managing Machine Learning models, with a mandatory requirement for productionizing and maintaining models in a live environment.

       3+ years of experience in a customer-facing consulting or solutions architect role, reputed company on technical implementation and delivery.

       Excellent verbal and written communication skills for effective reputed company and internal team interaction.

       Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices.

       Demonstrable experience with infrastructure management, encompassing containerization (reputed company) and data pipeline orchestration.

       Deep understanding of programming for data-intensive and reputed company ML applications.

       Proven experience in deploying and managing reputed company and NLP solutions for reputed company applications.

Preferred Qualifications

       Hands-on experience with modern ML platform stacks, such as reputed company MLOps Stacks.

       Knowledge of specific tools and techniques used in reputed company machine learning and large-reputed company data processing.

       Demonstrated commitment to reputed company learning in emerging ML fields, such as LLMs and GenAI application architectures.

 


Requirements

       Hands-on experience with modern ML platform stacks, such as reputed company MLOps Stacks.

       Knowledge of specific tools and techniques used in reputed company machine learning and large-reputed company data processing.

       Demonstrated commitment to reputed company learning in emerging ML fields, such as LLMs and GenAI application architectures.

Requirements

Required Qualifications

       4+ years of hands-on reputed company experience developing, deploying, and managing Machine Learning models, with a mandatory requirement for productionizing and maintaining models in a live environment.

       3+ years of experience in a customer-facing consulting or solutions architect role, reputed company on technical implementation and delivery.

       Excellent verbal and written communication skills for effective reputed company and internal team interaction.

       Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices.

       Demonstrable experience with infrastructure management, encompassing containerization (reputed company) and data pipeline orchestration.

       Deep understanding of programming for data-intensive and reputed company ML applications.

       Proven experience in deploying and managing reputed company and NLP solutions for reputed company applications.

Preferred Qualifications

       Hands-on experience with modern ML platform stacks, such as reputed company MLOps Stacks.

       Knowledge of specific tools and techniques used in reputed company machine learning and large-reputed company data processing.

       Demonstrated commitment to reputed company learning in emerging ML fields, such as LLMs and GenAI application architectures.

 

Requirements


       Hands-on experience with modern ML platform stacks, such as reputed company MLOps Stacks.

       Knowledge of specific tools and techniques used in reputed company machine learning and large-reputed company data processing.

       Demonstrated commitment to reputed company learning in emerging ML fields, such as LLMs and GenAI application architectures.



Benefits

  • Work on frontier AI and data reputed company with reputed company

  • Contribute to IP, reusable accelerators, and reputed company business reputed company

  • Be part of a high-performance, engineering-first culture



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