Data Engineer Junior - AI / ML

APN consulting Group

NJ(remote)

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JOB DETAILS

JOB TYPE

Full-time

SKILLS

AWS Lambda, Agent Communication, Agile Programming Methodologies, Alternative Energy, Amazon Web Services (AWS), Analysis Skills, Application Framework, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Automation, Business Solutions, Cloud Computing, Communication Skills, Computer Science, Consulting, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Relations, Customer/Client Research, Data Management, Data Science, Database Design, Database Extract Transform and Load (ETL), Deep Learning, Financial Analysis, GitHub, MCP - Microsoft Certified Professional, Machine Learning, Microsoft Windows Azure, Performance Metrics, Presentation/Verbal Skills, Process Improvement, Product Demonstration, Proof of Concept, Python Programming/Scripting Language, Rapid Prototyping, Reporting Dashboards, Requirements Management, SQL (Structured Query Language), Scrum Project Management and Software Development, ServiceNow, Team Player, Technical Recruiting, Test Automation, Warehousing, Work From Home

LOCATION

POSTED

15 days ago

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.

About the Company

APN consulting Group

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