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NLP Implementation Engineer

HCLTech

United States

Remote

USD 92,000 - 134,000

Full time

2 days ago
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Job summary

HCLTech seeks an NLP Implementation Engineer to advance localization efforts through innovative AI applications. This full-time role involves collaboration with cross-functional teams to design and optimize NLP solutions, enhancing machine translation and AI capabilities while maintaining high performance standards.

Benefits

Medical insurance
Vision insurance
401(k)
Paid time off
Employee assistance program

Qualifications

  • Bachelor’s degree in Computer Science or related field required.
  • Experience with NLP tools and data processing frameworks.
  • Proficient in Python and understanding of AI methodologies.

Responsibilities

  • Develop and implement AI capabilities for NLP applications.
  • Collaborate with teams to integrate AI solutions into products.
  • Monitor and optimize NLP model performance based on metrics.

Skills

NLP libraries and tools
AI data retrieval systems
Programming (Python, Java, C++, R)
Text classification
Sentiment analysis
Data workflows

Education

Bachelor’s degree in Computer Science
Master’s degree in relevant field

Tools

NLTK
SpaCy
Hadoop
Spark

Job description

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This range is provided by HCLTech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$92,000.00/yr - $134,000.00/yr

Direct message the job poster from HCLTech

Talent Acquisition Lead - USA at HCLTech (Hiring Python Automation Engineer)- Engineering and R&D Services

HCLTech is looking for a highly talented and self- motivated NLP Implementation Engineer to join it in advancing the technological world through innovation and creativity.

Job Title: NLP Implementation Engineer

Job ID: 1567420BR

Position Type: Full-time

Location: Remote

Role/Responsibilities

Job Summary:

As a NLP Engineer, you will play a critical role in enhancing our localization efforts through the development, implementation and optimization of advanced NLP applications and data-driven solutions. You will work closely with cross-functional teams to design, code, implement and optimize localization agents, applications and data workflows, enhance language models, and optimize AI data selection, maintenance and usage.

Key Responsibilities:

Develop, evaluate, deploy and document AI capabilities – implement custom AI data retrieval systems.

Develop and implement AI agents and applications.

Design and build chatbots and virtual assistants.

Create and optimize question-answering systems.

Perform text classification and sentiment analysis.

Develop and enhance text summarization algorithms.

Implement advanced search techniques and algorithms.

Collaborate with cross-functional teams to integrate AI solutions into products.

Conduct research and stay updated with the latest advancements in NLP and machine learning.

Develop, evaluate, deploy and document AI capabilities – implement custom AI/RAG data retrieval systems:

Design, code, test and implement AI agents, applications, solutions and custom data to improve machine translation, translation quality prediction, text analysis and language processing as part of the comprehensive corporate localization workflow. Add custom data to RAG repositories, develop continuous custom data pipeline. Participate in agile scrum ceremonies like daily standup, sprint planning, sprint review and retrospective.

Optimize Localization Data Workflows and Usage:

Collaborate with localization specialists to automate and enhance translation processes.

Develop tools to assist in localization activities, terminology management, glossary creation, and consistency checks. Create and optimize custom data pipelines and workflows for efficient data handling and processing.

Research and Innovation:

Stay updated on the latest developments in NLP and machine learning. Propose and implement innovative solutions to complex language processing challenges.

Cross-functional Collaboration:

Work with software engineers, product managers, and localization teams to integrate NLP solutions into our products. Provide technical guidance and support to team members on data science and NLP methodologies.

Performance Monitoring:

Evaluate the effectiveness of NLP models and algorithms. Evaluate data effectiveness for custom capabilities/AI agents.Measure efficiency of custom data.Optimize models based on performance metrics and user feedback. Take ownership for the data science workflow including exploratory data analysis and model development. Document and present findings, methodologies, and results to stakeholders.

Education:

Bachelor’s degree in Computer Science, Data Science, Computational Linguistics, Artificial Intelligence, or a related field. Master’s degree a plus but not required.

Technical Skills:

Proficient in programming languages such as Python, Java, C++ or R.

Strong knowledge of NLP libraries and tools (e.g., NLTK, SpaCy, Hugging Face Transformers).Experience with big data technologies and data processing frameworks (e.g., Hadoop, Spark) a plus but not required.

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.

Familiarity with AI model fine-tuning and data optimization. Experience working with continuous integration and delivery (CI/CD) pipelines.

Soft Skills:

Excellent problem-solving abilities and attention to detail. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Collaborative mindset and experience working in cross-functional teams.

Certifications:

Relevant certifications in data science, machine learning, or NLP are a plus a but not required.

Pay and Benefits

Pay Range Minimum: $92,000/Annum

Pay Range Maximum: $134,000/Annum

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.

Compensation and Benefits

A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development

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Medical insurance

Vision insurance

401(k)

Disability insurance

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