TTG-383 - Machine Learning Engineer - $263,750 Total Compensatio

TTG Solutions is seeking an experienced AI/ML Engineer to develop and optimize AI/ML models and LLM-based systems tailored for specific use cases. The ideal candidate will design and evaluate Retrieval-Augmented Generation (RAG) pipelines and perform benchmark-based experiments to ensure optimal model performance., The AI/ML Engineer will be responsible for developing, tuning, testing, and evaluating AI/ML models and LLM-based systems. This includes designing and assessing RAG pipelines to enhance context retrieval and improve LLM generation quality. The role involves executing benchmark-based experiments, assessing model performance, and leveraging deep learning frameworks and GPU-accelerated computing to achieve superior results.

Senior Requires a minimum of six (6) years of experience specific to the skill., * RAG testing experience

• Design and evaluation of Retrieval-Augmented Generation pipelines for LLM-based workflows
• Tuning neural networks/LLMs on custom data sets
• Professional or academic experience developing AI/ML models and ensembles
• Selecting Python libraries
• Choosing preprocessing actions
• Performing analysis
• Python or R
• Deep learning frameworks such as PyTorch, TensorFlow, or Keras
• SQL proficiency including common table expressions, set operations, aggregate functions, and nested subqueries
• Version control systems/tools such as GitHub and Jenkins
• GPU-accelerated computing
• Testing, evaluating, or validating AI system performance focused on LLM-based systems
• Experiment design and execution to test LLM performance against benchmarks, * Hugging Face Transformers library and hub
• Developing benchmarks to measure LLM performance
• Cloud computing development and architecture
• Web development frameworks such as Flask
• Python text classification and topic modeling using scikit-learn or deep learning models
• Semantic search applications
• Tableau visualizations and dashboards
• Communicating methodological choices and model results
• Verification and validation test benches
• Explainable AI (XAI) techniques
• ONNX (Open Neural Network Exchange)

Benefit Details Base Salary $158,000 - $191,000 PTO 30 days annual PTO, which includes holidays. Retirement 15% company retirement contribution. No match required. Vesting period is 50% per year over 2 years. Paid Benefits Company pays all insurance expenses up to 8% of base pay. If your insurance expenses are less that that, we bonus the difference to you. Annual Bonuses 3% to 5% annual bonuses. Cell Phone Stipend $100 monthly phone expense reimbursement. Training Budget 3 paid training days + $2,500 training budget New Hire Bonus $5,000 new hire bonus

Total Compensation

Total compensation is the total combination of salary, benefits, retirement, bonuses, etc… and it is calculated using the following formula:

Total Compensation = Base Salary + Benefits Budget + Retirement + Bonus + Training Budget + Phone Stipend

Although each company has their own blend of salary and benefits, comparing total compensation is typcially the best way to compare the financial impact of each position. At TTG Solutions, we work hard to ensure our particular blend always meets or exceeds the market average.

Total Compensation = $263,750

Benefit Value Details Base Salary $191,000 Base salary for position. Retirement $28,650 15% company retirement contribution. No match required. Vesting period is 50% per year over 2 years. Benefits Budget $38,200 20% company paid Individual Benefits Account (12% for 30-days PTO, 8% for Insurances). If your insurance or PTO expenses are less than this, we bonus the difference to you. Annual Bonus $9,550 Annual bonus, 3% to 5% on average. Training Budget $2,500 Annual training budget. Training Hours $2,200 3 paid days for training. Phone Stipend $1,200 $100 monthly cell phone stipend.