Data Scientist – LLM, NLP, ML & Anomaly Detection

Stratacent; Maharashtra; On-site; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Group Medical Insurance

Cab facility

Meals/snacks

Continuous Learning Program

Job summary

Stratacent in Pune is seeking a Data Scientist with 4-8 years of experience to lead LLM, NLP, ML and anomaly detection initiatives. You will design end-to-end AI/ML solutions and collaborate with engineering, product, and business teams.

Responsibilities include building NLP apps (NER, classification, information extraction, summarization, QA), fine-tuning transformers, processing unstructured data, deploying via FastAPI/Flask, and delivering scalable pipelines.

Qualifications

• 4–8 years of data science or ML experience.
• Proficient in Python data stack and ML frameworks.
• Experience with NLP and LLM-based applications.
• Experience with anomaly detection techniques and time-series analysis.
• Experience deploying ML models to production via REST APIs.

Responsibilities

• Design, build, and deploy end-to-end AI/ML solutions.
• Develop NLP applications (NER, classification, info extraction, summarization, QA).
• Fine-tune transformer models (BERT, RoBERTa, T5).
• Process unstructured data from PDFs, emails, OCR, and web content.
• Develop LLM-based apps using OpenAI/Azure OpenAI, LangChain, and LlamaIndex.
• Design anomaly detection solutions for fraud, monitoring, and text analytics.
• Build scalable real-time and batch ML pipelines.
• Feature engineering, model training, tuning, and evaluation.
• Deploy models with FastAPI/Flask and monitor production.

Skills

LLM/NLP/ML

Python

Hugging Face

LangChain

LlamaIndex

OpenAI/Azure OpenAI

NLP libraries

PyTorch

TensorFlow

Anomaly detection

SQL/Vector DBs

Cloud platforms

Git/Docker/CI/CD

REST API

Pydantic

Education

Bachelor's or Master's in CS/Data Science

Tools

Hugging Face

spaCy

NLTK

PyTorch

TensorFlow

FAISS/Weaviate/Pinecone

OpenAI/Azure OpenAI

LangChain

LlamaIndex

FastAPI/Flask

Job description

Job Title: Data Scientist - LLM, NLP, ML & Anomaly Detection

Location: Pune

Experience Level: 4-8 years

We are looking for a Data Scientist with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Machine Learning, and Anomaly Detection to join our AI & Data Science team.

Key Responsibilities

• Design, build, and deploy end-to-end AI/ML solutions.
• Develop NLP applications including:
  • Named Entity Recognition (NER)
  • Text Classification & Sentiment Analysis
  • Information Extraction
  • Document Summarization & Question Answering
  • Semantic Search & Document Similarity
• Build and fine-tune models using Hugging Face Transformers (BERT, RoBERTa, T5, etc.).
• Process unstructured data from PDFs, emails, OCR documents, and web content.
• Develop LLM-based applications using OpenAI, Azure OpenAI, LangChain, and LlamaIndex.
• Design anomaly detection solutions for fraud detection, operational monitoring, and document/text analytics.
• Implement Statistical, ML-based, Deep Learning, and Time-Series anomaly detection techniques.
• Build scalable real-time and batch ML pipelines.
• Perform feature engineering, model training, hyperparameter tuning, and model evaluation.
• Deploy models using FastAPI/Flask and monitor production performance.
• Collaborate with engineering, product, and business teams to deliver AI solutions.
• Create data visualizations and communicate insights to stakeholders.

Required Skills

• 4-8 years of experience in Data Science or Machine Learning.
• Strong Python skills (Pandas, NumPy, Scikit-learn, SciPy).
• Experience with LangChain, LlamaIndex, OpenAI, or Azure OpenAI.
• Hands‑on experience with Hugging Face, spaCy, and NLTK.
• Expertise in ML and Deep Learning using PyTorch or TensorFlow.
• Experience with anomaly detection techniques such as Isolation Forest, LOF, One-Class SVM, Autoencoders, and LSTM.
• Knowledge of Time-Series Analysis (ARIMA, Prophet, LSTM).
• Proficiency in SQL and Vector Databases (FAISS, Pinecone, Chroma, Weaviate).
• Experience with AWS, Azure, or GCP.
• Knowledge of Git, Docker, CI/CD, and REST API development.
• Experience with Pydantic for structured outputs and data validation.

Preferred Skills

• OCR and document processing tools (Tesseract, Google Vision API, PyMuPDF).
• MLOps tools such as MLflow, Kubeflow, or Weights & Biases.
• Kafka, Spark Streaming, Kubernetes, Apache Spark, or Dask.
• Experience in Financial Services, Fraud Detection, Risk Management, or Compliance.
• Open-source contributions or AI/ML research publications.

Education

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.

Employee Benefits

• Group Medical Insurance
• Cab facility
• Meals/snacks
• Continuous Learning Program

Company Profile

Stratacent is a Global IT Consulting and Services firm, headquartered in Jersey City, NJ, with global delivery centres in Pune and Gurugram plus offices in USA, London, Canada and South Africa. We are a leading IT services provider focusing in Financial Services, Insurance, Healthcare and Life Sciences. We help our customers in their transformation journey and provide services around Information Security, Cloud Services, Data and AI, Automation, Application Development and IT Operations.

Stratacent India Private Limited is an equal opportunity employer and will not discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, age, sex, national origin, ancestry, handicap, or any other factor protected by law.