SR. AI SPECIALIST

Location: Pune

Company: Sonata Software

JOB DESCRIPTION/ SKILL SET:
- AI/ML, LLMs, advanced AI engineering
- Notes: LLMs, ML engineering
- Machine Learning, Deep Learning, Natural Language Processing, Gen-AI and Agentic AI systems.
- Specialized in building end-to-end AI solutions, including data preprocessing, model development, evaluation, and deployment in production environments.
- Expertise in developing scalable LLM-powered applications, including RAG architectures, end-to-end NLP pipeline and conversational Chatbot using GPT-based models.
- Worked extensively with vector databases and embedding pipelines for semantic search and knowledge retrieval systems.
- Developed scalable Conversational AI systems for financial and enterprise use cases using GPT-4o and LangChain-based architectures.
- Proficient in Python and popular data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow) for data analysis and model development.
- Skilled in extracting insights from data, including NLP techniques with transformer models (e.g., BERT)



for customer feedback analysis.
- Collaborated with cross-functional teams to translate business requirements into robust AI solutions, ensuring high data quality and model performance. Experienced with Agile methodologies and building RESTful APIs (Flask, FastAPI) for deploying machine learning models.
- Robust problem-solving skills and a track record of delivering actionable data-driven solutions.

TECHNICAL SKILLS

Generative AI: LangChain, LangGraph, OpenAI, Prompt Engineering, RAG, HuggingFace GPT, BERT, LLMs.

Machine Learning: Linear Logistic Regression, Naive Bayes, KNN, Decision Tree, K-Means Clustering.

Deep Learning: ANN, RNN, LSTM, Transfer Learning, Transformers.

Natural Language Processing: TF-IDF, NER, Sentiment Analysis, Word2Vec, Text Classification,

Tokenization, Text Summarization, Embeddings, Stemming Lemmatization.

Libraries/Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Matplotl

📌 Sr. AI Specialist (Pune)
🏢 Sonata Software
📍 Pune