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Recently Added NLP Engineers in our Network

Nilesh Parmar

Nilesh ParmarProfile Badge IC

Sr Python & NLP Developer7.5 Years of Exp
  • AWS
  • Azure
  • Celery
  • Chroma
  • CSS
  • Design patterns
  • Django
  • Django ORM
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As a Tech Lead and Certified Data Science Expert, I specialize in architecting and leading development teams that deliver robust, AI-powered, and scalable software solutions. With over 8 years of experience, I lead full-cycle development across AI/ML, SaaS, Cloud, and Mobile & Web platforms, ensuring clean architecture and real business value.Currently, I lead cross-functional teams at Code Concerte, Exelance, and Prilancers Infotech, where I manage 150+ in-house developers and offer both project-based services and dedicated remote developer models.

Nikhil Kumar

Nikhil KumarProfile Badge IC

ML & NLP Engineer3 Years of Exp

Experienced ML Engineer and NLP Developer specialized in Medical Coding, Entity Disambiguation, and information extraction from financial documents.

Akash rajpuria

Akash rajpuriaProfile Badge IC

Sr. NLP Scientist7 Years of Exp
  • machine_learning
  • Statistics
  • Apache Spark
  • PySpark
  • Docker
  • OCR
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Senior NLP Scientist | Proven Leader in Driving Business Impact with AII am a highly motivated Senior NLP Scientist with 7+ years of experience in leveraging cutting-edge Natural Language Processing (NLP) techniques to solve complex business problems and generate significant ROI. My expertise lies in building and deploying scalable NLP solutions across various industries, including healthcare, e-commerce, and pharmaceuticals.Throughout my career, I have consistently demonstrated a strong ability to:Lead and mentor high-performing data science teams. I have experience spearheading teams of data scientists and engineers in designing, developing, and deploying NLP solutions.Deliver impactful results through NLP innovation. I have a proven track record of building NLP models that have increased user engagement by 20%, reduced customer pain points by 300,000, and boosted revenue by 3.7%.Bridge the gap between technical expertise and business needs. I excel at translating complex NLP concepts into actionable insights for non-technical stakeholders, ensuring data-driven decision making.Embrace new technologies and stay ahead of the curve. I am passionate about staying current with the latest advancements in NLP, actively utilizing tools like Hugging Face, OpenAI, and PySpark to tackle Big Data challenges.I am confident that my leadership skills, technical depth, and business acumen make me a valuable asset to any team looking to leverage the power of NLP for real-world impact.

Riswan Basha S

Riswan Basha SProfile Badge IC

Machine Learning Engineer4 Years of Exp
  • Computer Vision
  • Feature extraction
  • LIME
  • predictive models
  • View all (9)

Result-driven professional with 3 years of experience in Python, Machine Learning, and Natural Language Processing, currently pursuing a Master's in Information Technology in Germany. Expertise in GenAI, DevOps, Azure services, and cutting-edge AI solutions for autonomous systems and software sectors. Proven track record in delivering impactful AI projects and aligning technology with business goals.

Manali Gaur

Manali GaurProfile Badge IC

NLP & machine learning Developer4 Years of Exp
  • Java
  • Python
  • Machine Learning
  • Deep Learning
  • Gazebo
  • Github
  • J2EE
  • View all (12)

Over 5-year experience in IT industry and have worked in multiple verticals Healthcare, Retail, Telecommunication & Software products. Have worked on NLP concept-based projects Chatbot for Car Rental Platform, Text Mining & Analysis, Data Extraction for vehicle routing algorithms, Customer Feedback Analysis. Have worked on Machine Learning concept-based projects Gender recognition (male, female and child voices), Machine Comprehension for contracts or research papers, Automotive Speech Interfaces & VFR/IFR information for drone flight. Hands-on experience with Python and Java programming. Hands-on experience on deep learning libraries like OpenCV, TensorFlow, StanfordNLP, OpenNLP & NLTK. High level knowledge of R programming libraries. Hands-on experience on IOS application development using Swift language. Hands-on experience on MongoDB & MySQL. Effectively handling team of 4 members as module Lead without any escalations from client. Proficient at grasping new technical concepts quickly & utilizing them in a productive manner. A strong team player with good interpersonal and communication skills.

Shwetha S

Shwetha SProfile Badge IC

Sr NLP & Software Engineer9 Years of Exp
  • machine_learning
  • Statistics
  • data-science
  • NLP
  • Deep Learning
  • View all (5)

More than 6 years of experience in Software Development, Project Implementation, Machine Learning and Deep Learning.Working experience and extensive knowledge in Python, Natural Language Processing with libraries such as Sklearn,Numpy,Pandas,Matplotlib,NLTK,Mongodb

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Uplers earned our trust by listening to our problems and finding the perfect talent for our organization.

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Uplers helped to source and bring out the top talent in India, any kind of high-level role requirement in terms of skills is always sourced based on the job description we share. The profiles of highly vetted experts were received within a couple of days. It has been credible in terms of scaling our team out of India.

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Case Studies of Tech Companies

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Hire NLP Engineers to Transform Unstructured Data into Business Insights

Most companies today are drowning in data but starving for insights. Here's the stark reality: over 80% of enterprise data exists as unstructured information - emails, customer feedback, support tickets, social media posts - all packed with potential value but nearly impossible to analyze at scale without specialized talent.

Frequently Asked Questions

You can expect to receive shortlisted NLP Engineer profiles within 48 hours. From profile review to onboarding, most clients complete the hiring process in 5–10 business days.

NLP Engineers have experience across chatbot development, text classification, sentiment analysis, named entity recognition (NER), semantic search, vector embedding, and LLM fine-tuning.

Yes. Our talent pool includes Engineers proficient in spaCy, NLTK, Transformers (Hugging Face), OpenAI's GPT APIs, TensorFlow, and LangChain, among others.

Absolutely. We've helped clients integrate LLM APIs, design prompt engineering flows, and build retrieval-augmented generation (RAG) systems using tools like LangChain, Pinecone, and Vector DBs.

Each candidate undergoes a rigorous vetting process that includes:

  • AI-driven screening based on your JD
  • Coding assessments in Python/NLP libraries
  • Recorded responses to technical prompts
  • Human panel interviews evaluating problem-solving and communication

All Engineers are required to sign NDAs and follow data handling protocols. If needed, we can enforce role-based access, and ensure Engineers work only via secure, sandboxed environments.

Yes. We offer NLP Engineers who can work in full or partial overlap with US time zones, including EST, PST, and CST. Time zone alignment is discussed during the shortlisting phase.

Yes. We're happy to administer your internal NLP test or include custom questions within our AI screening module. Test reports and recordings are shared before interviews.

Yes. Several of Engineers have worked on multilingual NLP pipelines, including translation engines, language detection, and regional language model fine-tuning for platforms with global user bases.

We support long-term engagements where Engineers can grow with your team. Our contracts are flexible, and we offer lifetime free replacement in case of performance issues.

Yes. Every proposal includes clear cost breakdowns, showing the Engineer's salary and Uplers' platform fees , so you always know exactly where your money goes.

Definitely. Engineers are trained to integrate within cross-functional teams, work with data pipelines, and collaborate closely with ML, DevOps, and engineering teams for seamless delivery.

NLP Engineer costs start from $2,500/month, depending on experience, complexity of the role, and working hours. Our pricing is fully transparent, no hidden markups or platform ambiguity.

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