Senior Machine Learning Engineer, IntelePeer
+ Stock Options
More information about location
AI-powered communications automation
Be an early applicant
AI-powered communications automation
201-500 employees
Be an early applicant
+ Stock Options
More information about location
201-500 employees
Company mission
To enable businesses to deliver truly delightful experiences.
Role
Who you are
- Proven expertise in NLP with at least 5 years of hands-on experience in building and deploying NLP models
- Strong knowledge of transformer-based models (e.g., BERT, GPT, RoBERTa, T5, etc.) and experience in fine-tuning pre-trained models
- Solid understanding of machine learning fundamentals, including deep learning, neural networks, and transfer learning techniques
- Proven experience in evaluating model performance and using advanced metrics to assess bias and fairness in predictions
- Experience in using frameworks such as PyTorch, TensorFlow, Hugging Face, or other popular ML libraries
- Knowledge of bias detection and mitigation techniques in machine learning models
- Experience with cloud-based ML services (e.g., AWS, GCP, Azure) and MLOps pipelines for deploying models at scale
- Proficiency in programming languages like Python, as well as experience with data processing tools such as Pandas and Numpy
- Strong problem-solving skills, attention to detail, and ability to lead complex ML projects from inception to deployment
- Excellent communication skills and the ability to work collaboratively in a fast-paced, dynamic environment
- Experience working with large-scale datasets and implementing distributed machine learning systems
What the job involves
- As a Senior Machine Learning Engineer with a focus on NLP, you will lead the design, development, and optimization of state-of-the-art transformer-based models
- You will play a key role in the full ML lifecycle, including data preprocessing, model building, fine-tuning, transfer learning, evaluation, and deployment
- You will also be responsible for ensuring model performance and fairness by addressing biases and ensuring ethical AI practices
- Design, implement, and optimize NLP models with a strong focus on transformer-based architectures (e.g., BERT, GPT, T5)
- Build and fine-tune models for a variety of NLP tasks, such as text classification, sentiment analysis, named entity recognition (NER), machine translation, and question answering
- Develop and implement strategies for transfer learning to leverage pre-trained models effectively in various domains
- Lead the evaluation of model performance using metrics such as accuracy, precision, recall, and F1 scores, while ensuring robustness and fairness in predictions
- Conduct research to detect, mitigate, and manage biases in ML models, ensuring ethical and transparent AI solutions
- Optimize model inference and ensure low-latency performance in real-time applications
- Mentor junior engineers and provide technical leadership in ML/NLP best practices
- Stay current with the latest advancements in NLP, transformer architectures, and ML techniques to drive continuous improvement
Our take
For businesses, AI automations has the potential to make processes more efficient and hence drive higher revenue. IntelePeer knows this and delivers AI agents to manage customer communications so that its clients can reduce costs, improve the customer experience and enhance ROI.
Capable of automating an impressive 90% of customer interactions, this comprehensive coverage is what allows IntelePeer to stand out. Its solutions are powered by generative AI and are suitable across many sectors such as healthcare, finance and retail.
Recently, IntelePeer secured a huge growth investment co-led by Savant Growth LLC and VantagePoint Capital Partners. These funds will be used to support further expansion after already growing its business 100% year-over-year.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Jul 2024
$70m
LATE VC
May 2021
$110m
CONVERTIBLE
Total funding: $252.1m
Company benefits
- 401(k): Use your retirement savings to plan for the future
- Stock options: Invest as an owner in the company you work for
- Unlimited vacation: Take time off for a break, vacation, or travel
- Healthcare: Enjoy medical, dental, and vision, plus gym reimbursement
- Catered meals: Dine-in on company meals and a snack-packed kitchen
Company HQ
Dania Beach, FL
Leadership
Frank Fawzi
(CEO, not founder)Former CTO (Software/Integration Group) at ADC. Was also President and CEO at CommTech Corporation and a Consultant at AT&T.
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