About IntelePeer.ai:

IntelePeer Cloud Communications helps customers communicate better, faster and smarter, through its Communications Automation Platform. Our low- and no-code solutions provide customers with simple, easy-to-use tools that can be utilized by anyone. Powering automation through AI and analytics, IntelePeer provides industry-leading time-to-value and rapid time to improved customer experiences with solutions that work seamlessly with existing business software and infrastructure. 

 What we are looking for:

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.

Key Responsibilities:

• 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.

Requirements:

• 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.

Why you'll love it here:

• Unlimited Vacation for exempt employees
• Paid Holidays
• Competitive medical, dental & vision insurance for employees and their dependents
• 401K Retirement Plan
• Stock Options
• Company-paid life insurance
• Health & Flexible Savings Accounts
• Cell phone, gym, and internet reimbursement
• Paid Parental Leave
• Tuition Reimbursement
• Employee Assistance Program (EAP)
• Free snacks (Denver, and or Fort Lauderdale)
• Fun events (virtual and in-person)

Applicants must be authorized to work for any employer in the U.S.
We are unable to sponsor or take over sponsorship of an employment visa at this time.

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