Senior Machine Learning Engineer
Red Cell Partners- Full Time
- Senior (5 to 8 years)
Candidates should possess a Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field, along with 5+ years of hands-on experience in NLP, LLMs, or agentic AI workflows in production settings. Strong knowledge of ML frameworks and NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, and NLTK is required, as well as a passion for AI-driven innovation and a high self-motivation to drive impactful solutions. Experience with text analysis, embeddings, transformer-based architectures, and developing AI-driven, agentic workflows is also necessary.
As a Senior Machine Learning Engineer, responsibilities include building and optimizing agentic AI workflows that enable users to dynamically explore and refine insights from conversational data, researching and implementing cutting-edge NLP and LLM-based approaches to extract meaningful insights from unstructured text data, developing LLM evaluation frameworks to assess accuracy, coherence, and usability of models, designing, developing, and deploying machine learning models for conversation analysis, topic discovery, and structured insight generation, collaborating with UX designers, product managers, and engineers to integrate AI-driven insights into Cresta’s products, and optimizing ML pipelines to efficiently process conversational data at scale.
AI-powered coaching for sales teams
Cresta focuses on enhancing business outcomes through AI-powered coaching and assistance, particularly for sales teams. Its main product, Cresta for Sales, analyzes all sales conversations to identify performance gaps and provide real-time coaching, helping businesses improve their sales efficiency. This service is available on a subscription basis and is suitable for companies of all sizes across various industries. Cresta also offers a chatbot service that automates repetitive conversations, allowing sales agents to concentrate on more complex tasks. The patented Real-Time Intelligence Engine continuously learns from interactions to highlight effective behaviors, giving businesses a competitive edge. Clients have reported notable improvements, including faster response times and increased sales conversions.