About Us
https://www.koantek.com/about-us
Job Description
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.