GeekSoft Consulting
AI

Senior AI / ML Engineer

GeekSoft Consulting · Carmel, IN

Actively hiring Posted 6 months ago

Geeksoft Consulting is seeking a Senior AI/ML Engineer to design, develop, and deploy advanced machine learning and AI solutions for enterprise clients. The ideal candidate will have deep expertise in model development, data engineering, and productionizing AI solutions at scale.

Key Responsibilities

  • Design, develop, and deploy ML and AI models for production environments
  • Work with large, structured and unstructured datasets
  • Perform data preprocessing, feature engineering, and model evaluation
  • Optimize model performance, scalability, and reliability
  • Integrate ML models into applications and microservices
  • Collaborate with data scientists, product owners, and engineering teams
  • Research, evaluate, and implement new AI/ML techniques and tools
  • Ensure model lifecycle management, monitoring, and retraining

Requirements

Required Skills & Qualifications

  • 10+ years of experience in AI/ML or data science roles
  • Strong proficiency in Python
  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn
  • Experience with NLP, Computer Vision, or Predictive Analytics
  • Strong understanding of statistics, machine learning algorithms, and data modeling
  • Experience deploying ML models in production environments

Preferred Qualifications

  • Experience with cloud AI/ML services (AWS SageMaker, Azure ML, GCP AI Platform)
  • Knowledge of MLOps tools, CI/CD for ML pipelines
  • Experience with Docker and Kubernetes
  • Exposure to Big Data technologies (Spark, Hadoop)
  • Experience in a consulting or client-facing environment

Education

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (or equivalent experience)

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Ai Engineer Machine Learning Data Science Data Engineer
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.