Senior Machine Learning Engineer (NLP/LLM Focus)

DescriptionAt Call Box, we believe in fostering growth—both personal and professional. We hire smart, ambitious individuals who are passionate about technology and empower them to push the boundaries of what's possible. We build and deploy

AI-driven solutions

that leverage cutting-edge

Natural Language Processing (NLP)

and

Large Language Models (LLMs)

to solve complex business problems in real-world environments.As a

Senior Machine Learning Engineer

specializing in

NLP

and

LLM-powered models and microservices , you'll play a key role in shaping and delivering ML-powered products that transform how we process and extract insights from unstructured data. You'll focus on deploying scalable, high-impact solutions, with an emphasis on productization rather than research. If you're passionate about using advanced NLP techniques to solve real-world problems and have a knack for deploying and maintaining models at scale, this is the role for you.We use a wide range of tools including

Python, TensorFlow, PyTorch, Hugging Face, SQL, Kubernetes, Docker, Azure, and AWS . Candidates with experience in

data engineering

or

MLOps

(e.g.,

MLflow ,

CDK/terraform ) are highly preferred.RequirementsWhat You'll Do:

Lead the design, development, and deployment of

NLP

and

LLM-powered models

that drive key products and business functions.Turn cutting-edge models into

production-ready, scalable solutions , ensuring seamless integration into our applications.Build

APIs

and pipelines that power

AI-driven insights

from a variety of data sources like

call transcriptions

and enable our products to understand and process natural language data, including text classification, conversational AI, and document analysis.Collaborate with product teams, engineers, and other stakeholders to drive the vision and execution of ML-powered solutions.Ensure

MLOps best practices

are followed, with a focus on model monitoring, versioning, and retraining workflows.Serve as a technical mentor through code reviews, pair programming, and guidance on best practices.What You Need:

A relentless passion for learning, growth, and excellence in the field of machine learning.5+ years

of experience in

machine learning engineering

with a focus on

NLP

and

LLM technologies

(e.g., BERT, GPT, or similar transformer models).Proven experience in building and deploying

large-scale NLP models

for real-world applications.Expertise in turning research-based models into

scalable, production-level solutions.Strong programming skills in

Python , with deep familiarity in libraries like

TensorFlow ,

PyTorch , or

Hugging Face .Experience with

cloud-based infrastructures

(AWS, Azure, GCP) and tools like

Kubernetes ,

Docker , and

MLflow .A team-oriented mindset, with a passion for collaborating and mentoring others.Preferred Skills:

Hands-on experience with

data engineering

tasks such as data pipelines, ETL processes, and working with big data technologies like

Spark .Familiarity with

MLOps

tools and practices, including

continuous integration/deployment pipelines

for machine learning applications.Expertise in automation of

model retraining

and ensuring long-term scalability and performance of deployed models.Experience with the automotive sales industry, voice recognition, or call center technologies.What’s In It for You:

Competitive salary ranging from based on experience.Medical and dental insurance options.Company provided Long Term Disability and Life Insurance.401k with company match

to help secure your financial future.A

monthly wellness allowance , reading stipend, and other perks to ensure a healthy work-life balance.Clear opportunities for career growth with mentorship from senior leaders.An exciting,

collaborative work environment

with regular team-building activities, and company events.

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