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# AI/ML Engineer

- **Company:** Tempositions, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Distributed Computing Environment, Github, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Cloud Services, Azure Machine Learning, SQL Databases, Unstructured Data, Enterprise Search, Cloud Platform System, Feature Engineering, Large Language Models, Apache Spark, HybridCloud, Containerization, Data Lakes, Pyspark, Kubernetes, HuggingFace, Star Schema, Apache Kafka, Machine Learning Operations, Cloud Migration, Text Analysis, GPT, Software Version Control, Data Pipelines, Docker, Jenkins, Databricks
- **Published:** September 24, 2026
- **Apply:** https://www.dice.com/job-detail/aaef770b-cbf6-4e55-8c76-cd89cc83b42e

## About the Role

* 7+ years of combined experience in AI/ML engineering, data engineering, or advanced analytics.
 * Strong proficiency in Python, SQL, Spark/PySpark, and distributed processing frameworks.
 * Hands-on experience with LLMs, NLP, and transformer-based architectures.
 * Experience deploying models in cloud ecosystems such as Azure, AWS, or hybrid cloud architectures.
 * Demonstrated MLOps experience, including CI/CD, model versioning, model registry, and containerized deployments.
 * Expertise in data modeling (Star/Snowflake schemas) and data warehouse/lakehouse optimization.
 * Familiarity with regulated environments (e.g., HIPAA, PII, financial regulatory requirements) is a strong advantage.
 * Strong communication skills and ability to partner with cross-functional stakeholders., * Experience with Delta Lake, Databricks, and Kafka.
 * Exposure to generative AI, RAG pipelines, and enterprise search systems.
 * Prior work in financial services, healthcare systems, or large enterprise platforms.
 * Experience supporting risk modeling, patient analytics, or retail personalization systems.

## Description

The Senior AI/ML Engineer will design, build, and operationalize scalable machine learning and AI systems within cloud-native data platforms. This role is ideal for candidates with deep experience in LLMs, NLP, distributed data processing, MLOps, and cloud modernization.

You will collaborate with Data Engineering, Product, Risk/Compliance, and Cloud teams to deliver production-grade solutions for high-impact analytical and predictive workloads., * Design and implement end-to-end ML pipelines, including feature engineering, model training, validation, deployment, and monitoring.

 * Build and optimize scalable ETL/ELT pipelines using Python, Spark/PySpark, SQL, and modern lakehouse architectures.
 * Develop and fine-tune Large Language Models (LLMs) for summarization, Q&A, intelligent search, and domain-specific text analytics.
 * Build NLP models for structured and unstructured data extraction using Transformers, Hugging Face, LangChain, and related frameworks.
 * Implement MLOps practices using MLflow, GitHub, Jenkins, Docker, Kubernetes, and cloud ML services.
 * Collaborate with Data Engineering teams to ensure data quality, lineage, governance, and compliance across the AI lifecycle.
 * Apply model explainability (LIME/SHAP) for regulated industries like finance and healthcare.
 * Support production operations through monitoring, drift detection, retraining, and performance tuning.


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