
Machine Learning
2 weeks ago
Company Overview:
is revolutionizing the call center industry with cutting-edge AI technology. Our innovative monitoring system processes voice, text, SMS, and chat data to provide unprecedented insights into customer interactions. We leverage state-of-the-art AI solutions to enhance automation, improve customer experience, and drive operational efficiency.
We are looking for a Machine Learning & Algorithmic Engineer with expertise in NLP, LLM optimization, and prompt engineering to help build and refine our AI-driven platform. If you're passionate about AI, enjoy working on cutting-edge technologies, and want to shape the future of AI-driven customer interactions, we'd love to hear from you
Responsibilities:
- Optimize and fine-tune large language models (LLMs) for summarization, labeling, question answering, and agentic AI capabilities.
- Train and enhance AI models to extract relevant insights from multimodal data sources (voice, text, chat, and SMS).
- Design and refine prompt engineering strategies for various NLP tasks to ensure accurate and contextually aware outputs.
- Develop and maintain scalable ML pipelines for model training, evaluation, and deployment.
- Collaborate with data engineers, software developers, and product teams to integrate AI solutions into our platform.
Requirements:
Must-Have Skills:
4 years of experience in Machine Learning
Proven experience in LLM fine-tuning, optimization, and deployment
Expertise in prompt engineering for AI-driven applications
Strong background in machine learning, deep learning, and NLP
Proficiency in Python, with experience in key ML libraries:
- NumPy, Pandas, SciPy, scikit-learn
- PyTorch or TensorFlow
- Hugging Face Transformers
Familiarity with data versioning and MLOps tools
Strong problem-solving skills and the ability to work autonomously in a remote setting
Nice-to-Have Skills:
Experience with vector databases for RAG applications
Background in agentic AI development for conversational agents
Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment
Knowledge of C for performance optimization
What We Offer:
Fully remote position with flexible working hours
Opportunity to work with cutting-edge AI technologies
Collaborative and fast-paced work environment
The chance to make a significant impact in a rapidly growing AI company
Reach our Talent Partner on if you're ready to take ownership of your career and integrate new features and become part of an AI-focused and innovative team
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