Sr reputed company / Data Scientist
Location: United States – 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 track record in client-facing implementation. The successful candidate will be instrumental in designing, deploying, and maintaining production-grade ML solutions, including advanced reputed company and Natural Language Processing (NLP) models, for our diverse client 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 scalable machine learning and high-performance data processing (e.g., using technologies like Apache Spark).
● Contribute to the strategic growth of the ML Practice Team, including participation in technical assignments and knowledge transfer activities.
● Ensure reputed company client engagements and training activities are properly documented and reported reputed company designated partner platforms.
Required Qualifications
● 4+ years of hands-on professional 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, focused on technical implementation and delivery.
● Excellent verbal and written communication skills for effective client 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 scalable ML applications.
● Proven experience in deploying and managing reputed company and NLP solutions for client 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 scalable machine learning and large-scale 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 scalable machine learning and large-scale 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 professional 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, focused on technical implementation and delivery.
● Excellent verbal and written communication skills for effective client 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 scalable ML applications.
● Proven experience in deploying and managing reputed company and NLP solutions for client 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 scalable machine learning and large-scale 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 scalable machine learning and large-scale 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 projects with reputed company
Contribute to IP, reusable accelerators, and reputed company business impact
Be part of a high-performance, engineering-first culture