Senior AI Engineer
- Compensation
- Not disclosed
- Location
- Chesterfield, United States
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 3+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- ● 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 environmen
- ● 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.
- ● 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.
Nice to have
- ● 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.
Full description
**Sr AI Engineer / Data Scientist / MLOps ConsultantLocation: 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,