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AI/ML Engineer — GTM Automation - Intern

Aptasentry
Remote

Quick Apply

Job Details

Internship
From $10 an hour

Qualifications

AI models
Salesforce API integration
Containerization systems
TensorFlow
Data model design
Software engineering
Data modeling projects
Prompt engineering
SQL
Production systems
Machine intelligence
Model deployment
SaaS platforms
GitHub
Experience with SaaS (as product category for technical sales engineers)
Integration with Third-Party Services (system development)
CRM system proficiency
Machine learning (ML) fundamentals
SaaS
Machine learning frameworks
Data analytics technologies

Full Job Description

Company: Aptasentry ([email protected])
Employment Type: Full-time internship
Location: [Remote / On-site / Hybrid]

About the Role

Aptasentry is seeking an AI/ML Engineer to design, build, and deploy intelligent automation systems that strengthen our go-to-market (GTM) operations. You will work across data, AI models, integrations, and internal workflows to automate activities such as lead research, segmentation, outreach personalization, campaign optimization, sales enablement, and performance reporting.

Responsibilities

Build AI-powered workflows to automate and improve GTM processes across sales, marketing, and customer success.
Develop systems for lead enrichment, scoring, segmentation, intent analysis, and account prioritization.
Create AI-based tools for personalized outreach, content generation, follow-up workflows, and campaign support.
Design and integrate LLM-based applications, prompt workflows, retrieval systems, and agentic automations where appropriate.
Connect internal systems with CRMs, marketing platforms, analytics tools, and third-party APIs.
Build data pipelines to collect, clean, structure, and analyze GTM data.
Develop, test, deploy, and monitor machine-learning models and AI services.
Establish evaluation methods for automation quality, accuracy, business impact, and safety.
Collaborate with sales, marketing, product, and engineering teams to identify high-value automation opportunities.
Document systems, workflows, models, and operational processes.

Requirements

Strong proficiency in Python.
Experience building and deploying machine-learning or AI-powered applications.
Familiarity with LLMs, prompt engineering, RAG, embeddings, vector databases, and AI agents.
Experience integrating APIs, webhooks, CRMs, and SaaS platforms.
Understanding of data pipelines, SQL, data modeling, and analytics.
Familiarity with cloud infrastructure, preferably AWS.
Experience with Docker, Git, and production software-development practices.
Strong analytical thinking and the ability to translate business workflows into reliable technical systems.

Preferred Qualifications

Experience with GTM tools such as HubSpot, Salesforce, Apollo, Clay, Outreach, Salesloft, Marketo, or similar platforms.
Experience with orchestration and automation tools such as n8n, Zapier, Make, Airflow, or Prefect.
Familiarity with FastAPI, Django, Flask, LangChain, LlamaIndex, or comparable frameworks.
Experience implementing monitoring, evaluation, and guardrails for LLM applications.
Knowledge of AWS services such as Lambda, ECS, S3, RDS, Bedrock, SageMaker, Step Functions, and CloudWatch.

What Success Looks Like

Repetitive GTM work is converted into dependable automated workflows.
Sales and marketing teams receive more useful, better-prioritized leads and insights.
Outreach and campaign processes become faster, more personalized, and measurable.
AI systems are secure, monitored, documented, and connected to clear business outcomes.

How to Apply

Please submit your resume, GitHub or portfolio links, and examples of AI, machine-learning, automation, data, or GTM-related projects to [email protected]

Pay: From $10.00 per hour

Work Location: Remote

Quick Apply

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