Software Engineer NLP/ML
Description
Calabrio is looking for a highly skilled and experienced Software Engineer NLP/ML to perform a key role in our digital transformation program, and deliver exceptional customer experience supported by trusted, and resilient business solutions. As a Software Engineer NLP/ML, you will play a pivotal role in developing and implementing cutting-edge NLP models and solutions. The ideal candidate should have a strong background in machine learning, natural language processing, and a proven track record of delivering successful projects in the field. Calabrio has embarked journey and is truly committed to establishing a value fabric that transforms its customer, employee, and stakeholder experiences through seamless integrated, agile, data-driven, and secure Digital Services. Such an endeavor requires leaders passionate about customer experience and committed to consistently delivering value while focusing on digital services with inherent trust and resilience.
What you’ll be doing:
Design, develop, and implement advanced NLP algorithms and models to solve complex problems in Conversation Analytics with classification, information extraction, clustering, topic modeling, text generation, and data processing.
Work on data engineering and processing to gather and preprocess large-scale conversation datasets for training and evaluation of NLP models.
Train, fine-tune, and optimize machine learning models for NLP applications.
Optimize models for deployment in real-world applications, considering factors such as latency, scalability, and resource efficiency.
Stay current with state-of-the-art research in NLP and contribute to the development of new approaches and methodologies for Conversation analytics problems.
Evaluate emerging technologies and tools to enhance the overall capabilities of our Conversation Analytics systems
Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to drive successful project outcomes.
We’re looking for:
Problem solver - devise and implement advanced NLP algorithms and models to address intricate challenges in Conversation analytics.
Strong team player – works with internal and external stakeholders to solve problems and actively incorporate input from various sources.
Excellent communication skills and collaborative working style.
Ability to think “out of the box”, strong critical thinking and analytical skills.
Requirements
Bachelor’s Degree (MSc+ is preferred) in Computer Science/Engineering or related field required.
2+ years of end-to-end experience of ML model training, evaluating, testing, and deploying machine learning models.
Strong experience working with Python, Flask, Numpy, and Pandas.
An expert in NLP tasks such as Text classification, NER, Clustering, and Topic-modeling.
A good understanding of Machine Learning fundamentals.
Experience with Prompt Engineering for LLM models.
Experience with Fine-tuning LLM models.
Experience with TextCNN, LSTM, Seq2Seq, and BERT models.
A good understanding of transformers (tokenizers, pre-trained models, fine-tuning).
Experience with PyTorch, TensorFlow, Scikit-learn.
Experience with NLP libraries like spaCy, etc.
Experience with SQL and NOSQL DB.
Familiar with Linux systems.
Nice to have:
Experience with AWS, Azure, or GCP.
Experience with Docker and Kubernetes.
Experience with ETL and Data Engineering projects.
Experience with PySpark and MapReduce.
Experience with PostgreSQL, Snowflake, or MongoDB.
Experience with Kubeflow, or Airflow.
Benefits
Calabrio People are: Open, Clear, Ambitious, Accountable, Collaborative, Consistent
What we value most…workplace diversity and ensuring an environment of mutual respect. We believe that diversity and inclusion are critical to our success, and we are proud to be an equal opportunity employer.
Our commitment is to continue to keep our people healthy, focused, and creative. We've built a company culture where you’ll feel motivated and truly excited to come to work. Calabrio is driven by the diversity of our talented team members who come from a wide variety of backgrounds and lifestyles. As an equal opportunity employer, we always consider and embrace ALL individuals including what makes them unique. We believe our team members should be happy and healthy, with peace of mind and a sense of accomplishment.
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​About Calabrio:
Calabrio has joined forces with some of the best minds and most progressive concepts on enriching human interactions through our customer experience intelligence platform. For you, that means working on high-performing innovative teams that combine their incredible ideas in one incredible company.
Our team members are offered comprehensive benefits for various life circumstances and needs, great opportunities for career development, and a balanced work-life to achieve personal and professional success (all benefits are subject to eligibility requirements).
**Awards & Accolades: **
Calabrio has 300 Global Partners, more than 2.25 million agents, and over 7,000 customers worldwide. We’ve been doing this for more than two decades and have been recognized by leading independent third parties such as Gartner, Forrester, and G2 Crowd as a leader and visionary. ​ Thanks to the hard work and dedication of every Calabrio team member, we have been recognized by the Star Tribune Top Workplace for 9 years in a row, a 2022 UK Great Place to Work, named one of BC’s Top Employers for 2023 and recognized as a top 50 fast-growth company by Minneapolis/St Paul Business Journal.
_Calabrio celebrates and fosters a culture that thrives on diversity. We are an Equal Opportunity Employer that prohibits discrimination and harassment of any kind. We provide employees with a work environment free of discrimination and harassment. All employment decisions at Calabrio are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, parental status, or any other status protected by the laws or regulations in the locations where we operate. We celebrate the >40 nationalities of team members that contribute to our success. _