NLP Engineer - Deep Learning/Artificial Intelligence

<p>Job Description :<br/></p><p><br/></p><p>We are USA HQ Series B Funded Startup building B2B SAAS products.

Setting up Product Management practice & looking Product Managers to join our startup journey.<br/><br/>Position: NLP Engineer<br/><br/>Location: Bangalore (Remote Job Anywhere in India)<br/><br/>Experience: 3 to 6 Yrs<br/><br/>Education: Bachelor's / Master degree in Computer Science or Ph.D.<br/><br/>Compensation: 20 to 30 L.p.a<br/><br/>As an NLP Engineer with a solid product background, you will play a critical role in designing, developing, and improving our NLP-based products.

You will work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand customer needs, define product requirements, and deliver high-quality NLP solutions.

Your expertise in NLP algorithms, data processing, and product development will be instrumental in shaping the success of our NLP NLP Algorithm Development:<br/><br/>- Design and develop NLP algorithms and models for text analysis, information extraction, sentiment analysis, named entity recognition, and other relevant tasks.<br/><br/>- Apply state-of-the-art NLP techniques to improve the accuracy and performance of our existing NLP models.<br/><br/>2.

Data Processing and Preprocessing:<br/><br/>- Gather, clean, and preprocess large volumes of textual data from various sources to build high-quality training datasets.<br/><br/>- Develop efficient data processing pipelines to handle diverse data formats and ensure data quality.<br/><br/>3.

Product Integration and Development:<br/><br/>- Collaborate with product managers and software engineers to integrate NLP models and algorithms into our product offerings.<br/><br/>- Participate in the end-to-end product development lifecycle, from ideation to deployment and continuous improvement.<br/><br/>4.

Performance Optimization:<br/><br/>- Identify and implement optimization techniques to enhance the efficiency and scalability of NLP algorithms, ensuring real-time performance for our products.<br/><br/>- Conduct thorough testing and evaluation of NLP models, utilizing appropriate metrics and Bachelor's degree in Computer Science, Engineering, or a related field.

Master's or Ph.D. in a relevant field is preferred.<br/><br/>- Minimum of 3 years of industry experience in NLP engineering, with a strong product background.<br/><br/>- Strong knowledge of NLP algorithms, techniques, and frameworks such as spaCy, NLTK, Transformers, or similar.<br/><br/>- Proficiency in programming languages such as Python, Java, or C++.<br/><br/>- Experience in data preprocessing, text mining, and information retrieval.<br/><br/>- Solid understanding of machine learning principles and hands-on experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).<br/><br/>- Familiarity with cloud-based platforms and services (e.g., AWS, Azure, GCP) for scalable NLP processing.<br/><br/>- Strong problem-solving skills and ability to think critically about complex NLP challenges.<br/><br/>- Strong attention to detail and a passion for delivering high-quality, impactful NLP solutions.</p> (ref:hirist.tech)