Here’s what makes you an Ideal Candidate for this position
Position
Sr. NLP Engineer
City
Ahmedabad
Experience
4+ Years
Work Shift
09:00 AM IST to 06:00 PM IST
Required Skills
- Over 7 years of experience in software development, with a strong focus on Python.
- Possess a minimum of 3 years of pertinent experience as a Machine Learning Engineer.
- In-depth knowledge of text representation techniques, including n-grams, embedding models, sentiment analysis, and proficiency in statistical and evaluation methodologies.
- Familiarity with various deep learning model architectures, such as Transformers, LSTMs, and Attention based models. Demonstrated expertise in fine-tuning various Large Language Models (LLM), conversational AI, and generative AI.
- Proficiency in machine learning frameworks, including TensorFlow, PyTorch, and Keras, as well as libraries like scikit-learn, scipy, numpy, spacy, langchain, and Llama Index.
- Hands-on experience with Docker containers, MySQL, Elasticsearch, and competence in utilizing various cloud platforms.
- Elementary knowledge in handling Big data would be preferable.
Key Responsibilities
- Develop NLP applications, including text classification, NER, LLM fine-tuning, RAG, and more.
- Identify suitable annotated datasets for use with Supervised learning methods.
- Employ a range of embedding techniques tailored to specific NLP tasks.
- Discover and implement appropriate algorithms and tools for various NLP tasks.
- Translate data science prototypes into practical applications using suitable ML/DL algorithms and tools.
- Train and fine-tune ML/DL models while conducting evaluation experiments.
- Conduct statistical analyses of results and make model refinements as needed.
- Stay current in the rapidly evolving field of machine learning.
- Create a variety of MLOPs pipelines to optimize the performance of the NLP ecosystem.
Compensation & Benefits
- Excellent Salary Structure.
- Employee friendly corporate work culture.
- Flexible timings with Saturday and Sunday Off.
- Lucrative Rewards and Recognition.
We are #EXCITED to see you on the other side!