XSELL Technologies · 6 hours ago
Senior Machine Learning Engineer
Chicago, IL
Full-time
Hybrid
Senior Level
$140K/yr - $180K/yr
7+ years expXSELL Technologies is seeking a hands-on, entrepreneurial Senior Machine Learning Engineer to lead the development of voice-centric AI systems in the healthcare domain. The role involves owning the full lifecycle of the ML stack, optimizing models for conversational contexts, and collaborating with cross-functional teams to enhance patient interactions with the Agentic Voice platform.
Information TechnologySoftware
Hiring Manager
Brianna Babich
Responsibilities
Apply LoRA, QLoRA, DPO, RLHF and parameter-efficient methods to create smaller, faster models optimized for conversational contexts
Implement quantization, pruning, knowledge distillation to significantly reduce model size while preserving quality
Work with modern conversational architectures: DeBERTa, SetFit, sentence transformers, lightweight decoder models for domain-specific use cases
Rapidly evaluate and adapt latest research for conversational applications
Design, build, and maintain high-performing STT, TTS, and LLM pipelines that operate at < 800 ms end-to-end latency and thousands of concurrent calls
Train and fine-tune smaller, task specific LLMs optimized for accuracy, latency and cost efficiency in real time applications
Optimise GPU- and CPU-based serving on EKS / Kubernetes using techniques such as dynamic batching, quantisation, speculative decoding, and streaming gRPC / WebSockets
Implement and extend LangGraph / LangChain flows and Model Context Protocol (MCP) schemas to orchestrate complex multi-turn healthcare conversations safely and compliantly
Build robust data pipelines (Kafka → Snowflake / S3) for conversation logs; design offline and online evaluation frameworks for ASR/WER, TTS MOS, and task-completion metrics
Establish ML best practices—versioning, monitoring, A/B gating, CICD for models—and mentor engineers on ML ops, audio processing, and prompt engineering
Work daily with product managers, designers, compliance leads, and customer teams to translate business goals into scalable voice experiences
Stay on the cutting edge of open-source speech and LLM research; run rapid POCs (e.g., Whisper-v3, Bark), explore efficient fine tuning techniques(e.g. LORA, DPO), and continuously improve model performance in production environments
Ensure HIPAA-grade security, auditable PHI handling, guardrails, and fallback strategies to keep conversations safe and reliable 24 × 7
Qualification
Required
B.S. or M.S. in Computer Science, Machine Learning, or related field
7+ years building production ML systems, 2+ specifically in speech / conversational AI
Proven track record shipping voice AI or large-scale LLM products to tens-of-millions of users or thousands of concurrent sessions
Proven experience with parameter-efficient fine-tuning techniques (LoRA, QLoRA, adapters) for conversational applications
Knowledge of few-shot learning frameworks for conversational tasks with limited data
Experience with model compression techniques (quantization GPTQ/AWQ, pruning, knowledge distillation) for real-time inference
Deep understanding of ASR (e.g., Whisper, NeMo, Kaldi) and TTS (e.g., Tacotron, FastSpeech, VITS) model internals and evaluation
Experience with GPT-class models, fine-tuning, RAG, LangGraph, LangChain, MCP, prompt-engineering and safety guardrails
Expert in Python; proficiency in TypeScript / Node and/or Java is a plus
Kubernetes (AWS EKS), Helm, Terraform, MLflow / SageMaker, model-aware CI/CD, feature stores, GPU scheduling, autoscaling
Kafka, Redis, Postgres, Snowflake; designing real-time and batch pipelines for audio and text
gRPC, WebSockets, HTTP/2 streaming, RTP/WebRTC
Experience securing PHI/PII, HIPAA/HITRUST controls, and SOC2 processes
Proven ability to make strategic product decisions with a focus on user needs and business impact
Experience taking ideas all the way from ideation to execution
Demonstrated experience in leading technical teams and mentoring engineers
Excellent analytical and problem-solving abilities
Strong verbal and written communication skills; ability to articulate complex technical concepts to non-technical stakeholders
Benefits
Comprehensive health benefits
Flexible PTO
Company
XSELL Technologies
XSELL Technologies is a leader in conversational intelligence, focused on delivering market leading CX insights at scale, in real-time.
51-200 employees
H1B Sponsorship
XSELL Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (2)
2022 (3)
2021 (5)
2020 (6)
Funding
Current Stage
Growth StageTotal Funding
$25.25M2020-07-27Series Unknown· $25.25M
Leadership Team
Matthew Coughlin
CEO & Founder
Recent News
2025-02-08
Company data provided by crunchbase