About the Role
ApexSalesAI is looking for a results-driven AI/ML Engineer to help build the next generation of AI-powered sales enablement tools. You will be responsible for developing machine learning models that drive predictive analytics, intelligent automation, and real-time decision support across our platform. We are seeking someone with deep technical expertise, creativity, and a passion for delivering high-impact AI solutions at scale.
Key Responsibilities
- Design, build, and deploy scalable machine learning models for sales optimization, lead scoring, opportunity forecasting, and customer insights.
- Collaborate with software engineers, data scientists, and product teams to integrate models into production systems.
- Optimize and fine-tune models for performance, accuracy, and scalability in real-world enterprise environments.
- Maintain and expand model training pipelines, data ingestion workflows, and model monitoring systems.
- Stay ahead of the curve on AI/ML research and recommend practical innovations for our product roadmap.
- Contribute to model explainability, bias detection, and responsible AI practices.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
- 3–5+ years of experience building and deploying ML models in production.
- Proficiency in Python, TensorFlow, PyTorch, scikit-learn, and related ML frameworks.
- Strong background in supervised and unsupervised learning, classification, regression, and clustering algorithms.
- Experience with MLOps, model serving, and cloud infrastructure (AWS, Azure, or GCP).
- Excellent communication and collaboration skills in a remote-first environment.
Preferred Qualifications
- Experience working with B2B sales, CRM systems, or revenue operations data.
- Exposure to LLM fine-tuning, prompt engineering, or generative AI models.
- Familiarity with enterprise SaaS platforms and APIs.
Work Environment
- Work environment: Fully remote. ApexSalesAI operates as a distributed-first team across multiple time zones.
- Equipment: We provide company-issued laptops, access to leading AI/ML tools, and stipends for home office setups.
- Culture: We value autonomy, curiosity, integrity, and impact. We are builders and challengers at heart.
- Equal Opportunity Employer: We are committed to building a diverse and inclusive team.