Senior AI Engineer / Data Scientist

Company : Koantek

Job Type : Full Time

Remote / Work from Home

Number of Applicants

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000+

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Job Description - Senior AI Engineer / Data Scientist

Senior AI Engineer / Data Scientist (Consulting)

Location: United States (Remote)

Employment Type: Full -Time / Contract

Experience Level: Senior

About the Role:

We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer -facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client -facing implementation.

You will design, deploy, and maintain production -grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.

Key Responsibilities:

* Technical Consulting: Lead end -to -end ML implementations directly with clients, translating business problems into robust technical solutions.

* MLOps and Pipelines: Design, build, and maintain production -grade ML pipelines with a strong focus on CI/CD, automation, and scalability.

* GenAI and NLP Deployment: Implement and optimize cutting -edge Generative AI applications (such as LLMs and RAG) in live production settings.

* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark.

* Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non -technical audiences.

Required Qualifications:

* 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).

* 3+ years of experience in a customer -facing consulting or Solutions Architect role.

* Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment).

* Solid hands -on experience with containerization (Docker) and data pipeline orchestration.

* Proven track record of deploying Generative AI and NLP solutions for client applications.

* Excellent verbal and written communication skills.

Preferred Qualifications:

* Hands -on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.

* Deep knowledge of large -scale data processing and distributed machine learning techniques.

* A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.

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Senior AI Engineer / Data Scientist

Job Description - Senior AI Engineer / Data Scientist

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