Why choose Ideaware for Natural Language Processing talent
For over 12 years, we have helped American companies scale their software teams and grow their businesses. Our focus is on seamlessly connecting you with the ideal Natural Language Processing talent who not only possesses the right skills but also aligns with your project’s personality, culture, and expectations.
From day one, you and your team work with our expert team of recruiters and HR to meet your needs to the tee. There are no up-front fees to get started. Our commitment is demonstrated by the fact that you pay only after the first month your candidate is onboard.
15+
years in business
4y+
client engagement length
4.6 y
average retention time
1,250
filled roles
Struggling to find top talent on your own? Skip the recruitment hassle
Access top-tier, pre-screened professionals within 48 hours of sharing your job details. All candidates are sourced from our 12-year-strong database and network in Colombia.
Hire talent
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Luis P.
Frontend / Mobile Developer
- ReactJS
- React Native
Luis is a Mechanical Engineer with over 4 years of experience working with multidisciplinary and multicultural teams. He has knowledge of SCRUM for project planning and execution.
Chile
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Daniel C.
Backend Developer
- NodeJS
- Typescript
Daniel has over 6 years of experience working as a backend developer, mainly using NodeJS. He's adept at tackling diverse IT challenges and is oriented to fulfilling project objectives.
Colombia
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Laura V.
Product Designer
- Figma
Laura has over 7 years of experience as a Product Designer. She is skilled at identifying user needs, researching, and creating wireframes and prototypes to optimize user interactions.
Argentina
The ultimate guide for hiring NLP engineers
Are you seeking to accelerate the growth and scale your development team? Recognizing the pivotal role talent plays in project success, we've crafted a guide to enhance your understanding of the hiring process. Explore insights on what to anticipate from experts in technical and soft skills and responsibilities, along with FAQs. We will give you a whole different perspective!
Before you start hiring
Access top-tier, pre-screened professionals within 48 hours of sharing your job details. All candidates are sourced from our 15-year-strong database and network in Latin America.
Define your project requirements
Clearly define your project goals, scope, and technical requirements. The difficulty level and the type of task you're dealing with will determine the skills and expertise needed.
Culture fit
Your hires must align with your company goals, values, and team culture. Someone who can integrate seamlessly into your team will adapt faster to your workflow and be more productive.
Budget planning
Establish a budget for your experts. Consider factors like labor costs, project timeline, infrastructure, and potential travel expenses.
Team proximity
Decide between outsourcing IT talent or in-house hiring. A hybrid approach, which combines these two, is also a viable option in some cases, providing a balance between control and flexibility.
Technical skills every NLP engineer should have
Your NLP engineer needs a range of skills to manage day-to-day tasks and protect your software’s future. When they have the right technical skills, your projects will flow effortlessly, with top-quality code and minimal supervision.
- Deep understanding of NLP algorithms and techniques
- Proficiency in Python, TensorFlow, PyTorch, and Hugging Face
- Experience with transformer models (BERT, GPT, T5)
- Knowledge of text preprocessing and tokenization
- Familiarity with language models and embeddings
- Understanding of computational linguistics and semantics
Skills that go beyond code
Communication skills
NLP engineers who can explain complex language models to stakeholders, document NLP solutions clearly, and collaborate effectively with linguists and domain experts.
Problem-solving and critical thinking
Engineers who can design innovative NLP solutions for specific use cases, troubleshoot model performance issues, and adapt approaches for different languages and domains.
Teamwork and collaboration
NLP engineers who work effectively with data scientists, linguists, and business teams to develop language solutions that meet specific requirements.
Time management and organization
Engineers who can manage multiple NLP projects, optimize model training times, and deliver language solutions within business timelines.
Attention to detail
Engineers who meticulously validate NLP model outputs, ensure language accuracy, and maintain high standards in text processing and analysis.
Communication skills
NLP engineers who can explain complex language models to stakeholders, document NLP solutions clearly, and collaborate effectively with linguists and domain experts.
Problem-solving and critical thinking
Engineers who can design innovative NLP solutions for specific use cases, troubleshoot model performance issues, and adapt approaches for different languages and domains.
Teamwork and collaboration
NLP engineers who work effectively with data scientists, linguists, and business teams to develop language solutions that meet specific requirements.
Time management and organization
Engineers who can manage multiple NLP projects, optimize model training times, and deliver language solutions within business timelines.
Attention to detail
Engineers who meticulously validate NLP model outputs, ensure language accuracy, and maintain high standards in text processing and analysis.
Responsibilities of NLP engineers
Our NLP engineers focus on building intelligent language processing systems that understand, analyze, and generate human language for various applications.
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NLP model development
Design and develop natural language processing models for tasks like text classification, sentiment analysis, named entity recognition, and language generation.
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Text preprocessing and analysis
Implement robust text preprocessing pipelines, develop custom tokenization strategies, and create efficient text analysis workflows.
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Language model optimization
Fine-tune pre-trained language models for specific domains, optimize model performance, and implement efficient inference systems.
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Multilingual NLP solutions
Develop NLP solutions that work across multiple languages, handle language-specific challenges, and ensure cultural sensitivity.
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Integration and deployment
Integrate NLP models into production systems, implement API endpoints, and ensure scalable language processing capabilities.
How it works
Getting started with us is easy and there are no strings attached or up-front costs. We take care of sourcing, screening and legal/tax compliance while you focus on your business.
01
Job descriptions
Let us know what type of talent you need. We will build the perfect job profile for the role.
02
Screening
We take a multi-channel approach to sourcing, screening and finding only those candidates who are a perfect match.
03
Interviews
We set up as many interviews as you decide to have with potential candidates. Your process, your decision.
04
Onboarding
Once you give us the green light, we onboard your new members. We take care of all legal and tax compliance.
Hire vetted NLP engineers for your natural language processing projects with Ideaware. Discover the advantages of outsourcing with us.
Get in touch
Let's build your dream team today
Hire expert developers in your tech stack, aligned with your time zone. We handle payroll, benefits, and compliance.