Python Developer

About the Company

We are looking for an experienced Python Developer with expertise in using TensorFlow/PyTorch, LangChain, OpenAI API, Elasticsearch and a deep understanding of Natural Language Processing to help us develop and optimize high-performance applications.

About the Role

You will be responsible for implementing, testing, and maintaining data pipelines, machine learning models, and NLP techniques to extract valuable insights from data.

Responsibilities

• Design, develop, and maintain Python-based data analysis and machine learning applications with clean and well-documented code
• Develop, optimize and deploy ML models for information retrieval, LLM-based agents, embeddings (FAISS, Pinecone, Weaviate), predictive analytics, and Retrieval-Augmented Generation (RAG)
• Research and implement NLP algorithms for text classification, sentiment analysis, named entity recognition (NER), and topic modeling, including troubleshooting and debugging to ensure reliable performance at scale
• Implement data pipelines and ETL processes for big data processing
• Collaborate with cross-functional teams to understand business requirements and build scalable tech

Qualifications

• Strong proficiency in Python with hands-on experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, PyTorch
• Expertise in information retrieval, statistical analysis, data visualization and developing LLM-based agents, embeddings (FAISS, Pinecone, Weaviate), predictive analytics, and Retrieval-Augmented Generation (RAG)
• Hands-on experience with Natural Language Processing (NLP) libraries such as NLTK, spaCy, Hugging Face, or similar tools
• Experience with data wrangling techniques, including cleaning, transforming, and merging data sets from various sources
• Familiarity with machine learning algorithms and frameworks (supervised, unsupervised learning, and deep learning techniques)
• Solid understanding of text analytics such as text pre-processing, tokenization, stemming, lemmatization, and part-of-speech tagging
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) is a plus.
• Knowledge of data visualization tools (Matplotlib, Seaborn, ggplot2, Plotly, etc.)
• Strong problem-solving skills and attention to detail with ability to work in an agile, fast-paced environment and deliver results under tight deadlines

Required Skills

• 4 year Bachelor’s degree in Computer Science, Information Technology, Data Science, Statistics or related domains, or equivalent qualification
• 4+ years in developing scalable ML models, NLP models and systems from 0 to 1 and deploying them to production
• Strong knowledge of RESTful APIs and GraphQL for frontend-backend communication
• Familiarity with version control using Git, CI/CD tools, and deployment pipelines
• Knowledge of big data tools and platforms (Spark, Hadoop, etc.) and experience with managing databases