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Nlp Master Practitioner Jobs (NOW HIRING)

GDIT

Senior Data Scientist

Concord, NC · On-site

This is a hands-on ML practitioner role-not a platform or infrastructure position. The Senior Data ... Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, Applied ...

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization ... Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization ... Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)

Kros-Wise

Senior Data Scientist

San Diego, CA

Design, develop, and deploy predictive models, natural language processing (NLP), and optimization ... Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

D. or Master's in Data Science, Computer Science, or a related field. • Ability to thrive in a ... practitioner and a people manager. • Highly technical, with a strong bias for execution.

Octus

Senior Data Scientist

New York, NY · On-site

Apply NLP and ML techniques to tasks such as information extraction, semantic search and retrieval ... Requirements * Bachelor's or Master's degree in Computer Science, Engineering, or a related ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The successful candidate will join a team of experienced, collaborative practitioners, who are ... Apply a broad range of modelling techniques - including time-series forecasting, NLP ...

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The successful candidate will join a team of experienced, collaborative practitioners, who are ... Apply a broad range of modelling techniques - including time-series forecasting, NLP ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The successful candidate will join a team of experienced, collaborative practitioners, who are ... Apply a broad range of modelling techniques - including time-series forecasting, NLP ...

Octus

Senior Data Scientist

New York, NY

Apply NLP and ML techniques to tasks such as information extraction, semantic search and retrieval ... Requirements * Bachelor's or Master's degree in Computer Science, Engineering, or a related ...

Octus

Senior AI Engineer

New York, NY · On-site

$114K - $157K/yr

Requirements * Bachelor's or Master's degree in Computer Science, Engineering, or a related ... AI practitioner, with a strong foundation in computer science and algorithms. * Deep Python ...

Burlington

Senior Data Engineer

Edgewater Park, NJ

$80K - $105K/yr

Position Overview Come join our growing team of data practitioners and be on the leading edge of ... Bachelor's or Master's degree in Computer Science / Engineering, Informatics, or related areas.

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Nlp Master Practitioner information

What are the key skills and qualifications needed to thrive in the Nlp Master Practitioner position, and why are they important?

To thrive as an NLP Master Practitioner, you need advanced knowledge of Neuro-Linguistic Programming techniques, practical experience facilitating change sessions, and certification from an accredited NLP organization. Familiarity with NLP tools, coaching frameworks, and session management software is often required. Strong communication, empathy, and a results-oriented mindset distinguish outstanding practitioners in this field. These skills ensure effective client outcomes, professional credibility, and successful guidance through personal or professional development goals.

What does an NLP Master Practitioner do?

An NLP Master Practitioner is an advanced expert in Neuro-Linguistic Programming (NLP), specializing in deep behavioral change, communication techniques, and personal development strategies. They apply advanced NLP techniques to help individuals or organizations overcome obstacles, improve performance, and achieve specific goals. Master Practitioners often work as coaches, therapists, trainers, or consultants, using NLP models to enhance thinking patterns and behaviors. They may also teach NLP principles to others or integrate them into leadership, sales, or team-building practices.

How much do NLP practitioners make?

NLP Master Practitioners typically earn between $70,000 and $120,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, programming, and data analysis can lead to higher salaries in this specialized field.

What is an NLP master practitioner?

An NLP Master Practitioner is a professional who has advanced training in Neuro-Linguistic Programming (NLP), typically holding certification that demonstrates expertise in techniques for personal development, communication, and behavioral change. They often work in coaching, therapy, or training environments and may use tools like modeling, reframing, and anchoring to help clients achieve specific goals.

Is NLP a good career?

NLP Master Practitioners work with natural language processing technologies, which are in high demand across industries such as tech, healthcare, and finance. The role often requires skills in machine learning, programming, and linguistics, and offers opportunities for growth as AI and language models expand. It can be a rewarding career for those interested in AI development and data analysis.

What are some common challenges faced by NLP Master Practitioners in their work with clients?

NLP Master Practitioners often encounter challenges such as helping clients overcome deeply ingrained habits or resistance to change. Building strong rapport and trust is crucial, as clients need to feel comfortable sharing personal experiences for effective progress. Practitioners must also continuously adapt their approaches to suit individual client needs and learning styles. Many find ongoing professional development and peer supervision helpful in addressing complex cases and maintaining effective practice.

What can you do with an NLP practitioner certification?

An NLP Master Practitioner certification qualifies individuals to work as NLP practitioners, applying techniques such as language patterns and behavioral change strategies in coaching, therapy, or personal development roles. It also provides a foundation for careers in training, consulting, or integrating NLP methods into various professional environments. The certification often involves training in communication skills, psychology, and practical application of NLP tools.
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Nlp Master Practitioner jobs near you

Lead Machine Learning Engineer (Locals to NJ preferred) - W2 Role

Saransh Inc

Weehawken, NJ • On-site

$111K - $146K/yr

Contractor

Posted 28 days ago

Job description

Role: Lead / Senior Machine Learning Enginee
Location: Weehawken, NJ (Day 1 Onsite) - Locals preferred
Job Type: W2 Contract
 
Position Overview:
  • We are seeking a highly skilled and experienced Lead/ Senior Machine Learning Engineer with expertise in Python and hands-on experience designing innovative solutions using Agentic systems and modeling large language models (LLMs).
  • The ideal candidate will hold an Azure Certified AI Practitioner certification and demonstrate deep knowledge of Azure’s AI services and data engineering tools.
 
Key Responsibilities:
AI and Agentic Solutions Development:
  • Design, develop, and implement agentic systems for real-time decision-making processes.
  • Integrate multimodal AI agents capable of proactive problem-solving using machine learning and automation.
  • Collaborate with stakeholders to architect solutions that align with organizational goals.
LLM Development and Optimization:
  • Build, customize, and fine-tune large language models (LLMs) for diverse business applications.
  • Research and experiment with LLM architectures to optimize performance for specific use cases like NLP, conversational AI, and summarization.
  • Deploy LLMs efficiently on Azure services such as Azure Machine Learning, OpenAI Service, and Cognitive Services.
Data Engineering Expertise:
  • Architect and maintain complex data pipelines and frameworks on Azure.
  • Work with relational and non-relational databases to preprocess and manage datasets for AI models.
  • Leverage Azure tools like Data Factory, Synapse Analytics, and Databricks for ETL processes and advanced analytics workflows.
Python Development and Software Engineering:
  • Write high-quality, scalable Python code for machine learning and data engineering applications.
  • Develop reusable libraries for AI models and data processing workflows.
  • Collaborate with DevOps teams to ensure robust CI/CD pipelines and deploy production-ready solutions in cloud environments.
Collaboration and Leadership:
  • Mentor and guide junior engineers on best practices in data engineering and machine learning.
  • Collaborate with cross-functional teams, including data scientists, product managers, and business analysts.
  • Proactively contribute to strategic roadmaps for AI-powered business solutions.
Required Qualifications:
  • Azure Certified AI Practitioner (or equivalent Azure certification in AI and data engineering).
  • Demonstrable expertise in Python, with advanced knowledge of libraries such as Pandas, NumPy, PyTorch, TensorFlow, and LangChain.
  • Extensive experience designing and building Agentic solutions (e.g., autonomous agents capable of advanced decision-making and orchestration).
  • Hands-on experience with modeling and deploying LLMs (fine-tuning, prompt engineering, optimization).
  • Proficiency with Microsoft Azure ecosystem, including services like Azure Machine Learning, OpenAI Service, Cognitive Services, and Databricks.
  • Strong understanding of machine learning, natural language processing (NLP), and generative AI concepts.
  • Familiarity with best practices in data engineering, such as data modeling, schema design, ETL processes, and pipeline optimization.
Preferred Qualifications:
  • Advanced degree (Master’s or PhD) in Computer Science, Data Engineering, AI/ML, or a related field.
  • Experience with integrating LLMs into production environments for real-world applications (e.g., chatbots, document summarization, generative design).
  • Knowledge of distributed computing frameworks (e.g., Spark, Hadoop).
  • Familiarity with versioning tools (e.g., Git), containerization (e.g., Docker), and orchestration (e.g., Kubernetes).