Job Title

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. You will be responsible for implementing, testing, and maintaining data pipelines, machine learning models, and NLP techniques to extract valuable insights from data. Key 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 Required Skills & 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 asNLTK, 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 Preferred Qualifications: ● 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 Benefits: ● Competitive salary and performance-based incentives ● Flexible working hours and remote work opportunities ● Opportunities for professional growth and skill development ● A collaborative and dynamic work environment ● Health and wellness benefits, including medical, dental, and vision insurance