We are seeking a passionate and skilled NLP Engineer to join our dynamic team. As an NLP Engineer, you will be a vital contributor to our mission of developing groundbreaking NLP technologies. You will collaborate with a diverse team of experts, including data scientists, researchers, and software engineers, to build and deploy NLP models that address complex language challenges across industries. Your work will have a significant impact on enhancing user experiences, streamlining processes, and unlocking the true potential of natural language understanding.
Key Responsibilities:
- NLP Model Development: Research, design, and implement state-of-the-art NLP models to tackle a range of language-related tasks, such as sentiment analysis, intent recognition, text classification, and language generation.
- Data Exploration and Preparation: Explore and preprocess large-scale datasets, ensuring data quality, relevance, and diversity to enhance the performance of NLP models.
- Model Training and Optimization: Utilize deep learning frameworks and methodologies to train and fine-tune NLP models, striving for optimal accuracy and efficiency.
- Evaluation and Performance Enhancement: Conduct rigorous evaluations of NLP models, analyze results, and iterate on model improvements to achieve superior performance.
- Integration and Deployment: Collaborate closely with software engineers to seamlessly integrate NLP models into our products and services, ensuring their successful deployment and scalability.
- Continuous Learning and Innovation: Stay up-to-date with the latest advancements in NLP research and explore novel approaches to drive innovation in natural language understanding and generation.
- Model Maintenance and Monitoring: Monitor deployed NLP models, identify potential issues, and proactively implement maintenance and improvements to ensure reliable and robust performance.
- Documentation and Communication: Create clear and comprehensive technical documentation, sharing knowledge with team members and stakeholders to foster collaboration and facilitate project success.
Requirements:
- Bachelor’s/Master’s/Ph.D. degree in Computer Science, Engineering, or a related field with a focus on NLP or machine learning.
- Strong understanding of NLP fundamentals, including word embeddings, attention mechanisms, and sequence-to-sequence models.
- Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or MXNet.
- Familiarity with popular NLP libraries and tools like spaCy, NLTK, or Transformers.
- Solid grasp of data preprocessing techniques and the ability to work with unstructured textual data.
- Previous experience in developing and deploying NLP models in practical applications.
- Knowledge of cloud platforms and containerization technologies (e.g., AWS, Docker) is advantageous.
- Innovative mindset with a problem-solving orientation and an eagerness to take on challenges.
- Excellent communication skills, both written and verbal, to effectively collaborate with a diverse team.
Join our team to revolutionize NLP and be part of a team that is shaping the future of language-driven technology. Embrace the opportunity to push the boundaries of what’s possible with natural language understanding and help us build a more connected world. Apply now and embark on an exciting journey of NLP exploration!
At TIGI HR, we are an equal opportunity employer that values diversity and is dedicated to fostering an inclusive environment for all employees.
Our services are available in all major cities including Bangalore, Pune, Mumbai, Gurgaon, Noida, Hyderabad, Ahmedabad, Kolkata, Chennai, Gandhinagar, Indore etc. We have also expanded our wings toward Australia and Canada too.
Also, we do have many jobs for Work From Home (WFH) and on a Remote basis as well.
