ML NLP Engineer - Pune - Immediate Opening

Title/Designation:

Relevant Experience:

Key Skills:

Qualification:

Location:

Must-have Requirements:

1. Python mastery & familiarity with GPU, Docker, Linux, deployment of Python apps.

2. Strong Python tech stack in machine learning in NumPy, sci-kit-learn, pandas.

3. Experience in implementation, training & deployment of ML (Classification, regression, clustering Algorithms) and DL (CNN, RNN, LSTM) models - trade-offs & evaluations.

4. Experience with web development frameworks in python either Django or Flask.

5. Build NLP models for query classification and entity recognition to improve relevance.

6. Expertise in Text mining (probabilistic topic models, word association, mining, ontology learning, semantic similarity.

7. Information Retrieval, Text Processing & NLP techniques

8. Experience with Apache Solr, Keras, Tensorflow, OpenCV

9. Experience in LLM, RAG, Vector database, semantic search, word/ paragraph/ document embedding, ranking, etc

10. Experience in search relevance/ ranking, search personalization, spell correction, entity recognition.

11. Theoretical and practical understanding of machine learning techniques in high-dimensional spaces including linear models, kernels, ensembles, regularization, dimensionality reduction, data mining, and clustering.

Knowledge

Additional Competitive Skillsets:

1. Experience with Prompt Engineering

2. Strong Python tech stack in machine learning in distributed (PySpark ML, MLLib)

3. Experience in BERT, GPT, LLAMA, MPT, W2V, USE, TFIDF

4. Semantic knowledge Graph

5. Hadoop Ecosystem fluency (MapReduce, HBase, Kafka, etc.)

6. Proficiency in interactive visualizations

Perks & Benefits:

1. You will work with the highly talented group of individuals based in Silicon Valley and Pune

2. Best in Industry Salaries

3. Work directly with on product and LEARN a lot

4. Flat organization structure with a start-up culture

5. Exposure to cutting edge technologies and the latest concepts

6. Weekly healthy snacks

7. Team outings & Sprint parties

8. Paid holidays