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Data Engineer Junior - AI / ML

South Brunswick Township, NJ, US • Posted 1 hour ago • Updated 1 hour ago

Contract W2

Contract Corp To Corp

On-site

Depends on Experience

Fitment

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Job Details

Skills

DATA ENGINEER
MACHINE LEARNING ENGINEER
AI ENGINEER
ML ENGINEER
PYTHON
SQL
SNOWFLAKE
DATA PIPELINE
ETL
ELT
LLM
LARGE LANGUAGE MODEL
GPT
CLAUDE
GEMINI
MISTRAL
LANGCHAIN
AGENTIC AI
RAG
RETRIEVAL AUGMENTED
MULTI-AGENT
AWS
LAMBDA
SERVERLESS
CLOUD
REGRESSION
CLASSIFICATION
MACHINE LEARNING
JUNIOR
1 YEAR
2 YEARS
ENTRY LEVEL
INTERN
INTERNSHIP
ARCHITECT
MANAGER

Summary

APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.

Job Title: Data Engineer Junior - AI / ML
Location: Remote
Job Type: Contract to hire
ABOUT THE ROLE:
As part of our technology team, you will own end-to-end delivery across data engineering, machine learning, and agentic AI, building the analytical and automation capabilities that power our clean energy platform and support data-driven decisions across the business. You will help translate those capabilities into client-facing tools that create direct value, and support AI pilot programs from proof-of-concept through to production.

WHAT YOU WILL DO

Agentic AI & client tools: Design, build, and deploy serverless LLM-powered agents and MCP servers on AWS Lambda, integrating tool use, RAG, and multi-agent communication patterns; translate client requirements into working AI tools, demo and iterate based on feedback, and help scale pilots to production.
Data pipelines: Build and maintain ELT pipelines in Snowflake using SQL, Snowpark Python, and modern ETL/ELT frameworks; design schemas, tasks, and streams for analytics workloads.
Analytics & dashboards: Deliver dashboards and ad-hoc analyses that surface insights for client and internal stakeholders.
Machine learning: Develop and validate supervised and unsupervised ML models (e.g., logistic regression, time series, SVMs, CNNs/RNNs); support feature engineering, model tuning, and deployment via Lambda or SageMaker.
Cross-functional collaboration: Work directly with business teams to understand KPIs, translate requirements, and communicate technical outcomes clearly; operate within an Agile/SCRUM workflow to estimate, track, and close stories and issues independently.

WHAT WE ARE LOOKING FOR:

Education: Bachelor''s in Computer Science, Data Science, or a related field; or equivalent professional experience. Master''s a plus.
Experience: 1–3 years of relevant experience, including internships or substantial project work.
Python & SQL: Proficiency in Python and SQL; production experience with Snowflake or Snowpark preferred.
LLMs in production: Hands-on experience building with leading LLM APIs (e.g., GPT, Gemini, Mistral); understands tool use, context management, and prompt engineering.
Agentic AI: Familiarity with agent architectures, MCP, RAG pipelines, and multi-agent coordination patterns.
Cloud infrastructure: Experience deploying serverless workloads on at least one major cloud provider (AWS Lambda, Azure Functions, or Google Cloud Run); familiarity with managed services such as object storage, AI/ML APIs, or model hosting. Basic IaC exposure (CDK, SAM, Terraform, or Bicep) is a plus.
ML fundamentals: Strong understanding of classification and regression models (e.g., logistic regression, decision trees, SVMs) and unsupervised techniques such as clustering and dimensionality reduction; familiarity with time series methods and deep learning architectures (CNNs/RNNs) is a plus.
Communication: Able to present findings and demo tools to non-technical stakeholders.

NICE TO HAVE

LangChain / Strands: Familiarity with orchestration and agent frameworks for building LLM applications and pipelines
AWS CDK: Infrastructure-as-code experience for defining and deploying cloud resources in Python or TypeScript
CI/CD basics: Exposure to automated testing, deployment pipelines, or GitHub Actions
Streamlit: Ability to build lightweight internal tools and data apps for rapid prototyping
LLM API advanced patterns: Deep familiarity with tool use, streaming, function calling, and structured outputs
Vector databases: Experience with embeddings storage and retrieval (e.g., Pinecone, pgvector, Weaviate)
Snowflake Cortex / ML features: Experience using Snowflake''s native ML and AI capabilities for in-warehouse inference.

We are committed to fostering a diverse, inclusive, and equitable workplace where individuals from all backgrounds feel valued and empowered to contribute their unique perspectives. We strongly encourage applications from candidates of all genders, races, ethnicities, abilities, and experiences to join our team and help us build a culture of belonging.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10123488
Position Id: 26-06673
Posted 1 hour ago

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