Senior AI Engineer

Sr AI Engineer / Data Scientist / MLOps Consultant

Location: United States - Remote

Employment Type: Full-Time and Contract

We

are seeking an experienced and highly technical Data Scientist to join our

customer-facing consulting team. This remote role requires a blend 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 Generative AI and Natural Language Processing

(NLP) models, for our diverse client base.Key Responsibilities

• Serve as a primary technical

consultant, leading and executing end-to-end ML project implementations

directly with clients, translating complex business problems into robust

technical solutions.

• Exhibit excellent communication, presentation, and

stakeholder management skills to clearly articulate technical findings, proposals, and

project status to both technical and non-technical audiences.

• Design, build, and maintain

production-grade ML pipelines, focusing on continuous integration, continuous

delivery (CI/CD), and advanced MLOps practices to ensure reliability and

scalability of models.

• Implement and optimize

cutting-edge Generative AI and NLP applications, demonstrating hands-on

experience with technologies like Retrieval Augmented Generation (RAG) and

Large Language Models (LLMs) in a production setting.

• Manage underlying solution

infrastructure, demonstrating proficiency in technologies such as Docker,

pipeline orchestrators, and database systems.

• Leverage 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 all client engagements

and training activities are properly documented and reported via 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 (Docker) and data

pipeline orchestration.

• Deep understanding of

programming for data-intensive and scalable ML applications.

• Proven experience in

deploying and managing Generative AI and NLP solutions for client applications.

Preferred Qualifications

• Hands-on experience with

modern ML platform stacks, such as Databricks MLOps Stacks.

• Knowledge of specific tools

and techniques used in scalable machine learning and large-scale data

processing.

• Demonstrated commitment to

continuous learning in emerging ML fields, such as LLMs and GenAI application

architectures.

Requirements

• Hands-on experience with

modern ML platform stacks, such as Databricks MLOps Stacks.

• Knowledge of specific tools

and techniques used in scalable machine learning and large-scale data

processing.

• Demonstrated commitment to

continuous learning in emerging ML fields, such as LLMs and GenAI application

architectures.