Job Requirements

Advanced Natural Language Processing & Information Extraction

Experience with SOTA frameworks such as Thinc,Flair,zero-shot architectures like GLiNER. Knowledge of embedding generation, vector spaces,up-to-date embedding models (e.g., google/embeddinggemma-300m).

Deep Learning & Model Optimization, High-Performance ML Operations & Backend Engineering

Understanding of the GIL,multi-threading,and memory/thread safety when serving heavy ML models in production web servers.

MLOps,Cloud & Data Lifecycle

Using MLflow for experiment tracking,model registry,reproducibility., Python 3.7+

FastAPI,Uvicorn,Starlette,Pydantic v2+pydantic-settings pytest,pytest-asyncio(unit+functional tests)

asyncio,aiohttp, Project packaging(setuptools+pyproject.toml), REST API development

PyTorch 2.x(CPU/GPU/MPS), CUDA 12.*+, PyTorch Lightning, Hugging Face Transformers

Sentence_transformers

Classical ML,scikit-learn,NumPy,Pandas,SciPy,matplotlib

JupyterLab — exploration and training notebooks

Basic knowledge of Linear Algebra

Custom NLP pipeline design (spaCy,incl.transformer-encoder pipelines)

Custom spaCy components: NER,SpanCat,Dependency parser,Sentencizer,SpanFinder,custom tokenizers/matchers

Thinc,Flair NLP,GLiNER,



Retrieval and embedding models(e.g.,google/embeddinggemma-300m)

Data processing, spaCy Projects, Prodigy, Text processing

Fuzzy search, Regex, XML processing, LLM, LLM-assisted data annotation with quality guards

LLM inference servers: vLLM,Hugging Face TGI,llama.cpp

Async Python (AsyncOpenAIClient) for high-throughput dataset processing

Cloud & integration, Docker, GitHub Actions

GCP: Artifact Registry,GCS,Compute Engine,GKE,Logging,Vertex AI,Gemini API, Jenkins,K8s,Dynatrace,ELK

Apache Kafka, MLflow, Git, NER and span classification

Sequence labeling and document-level classification,Transfer learning/fine-tuning transformers, Train/eval/deploy lifecycle

Data augmentation,information extraction,relation extraction,entity linking,information retrieval

Fuzzy matching,clustering (DBSCAN)

Precision/recall tradeoffs in information extraction

Thread safety serving models in multi-threaded web servers

XML processing; basic knowledge of doc(x),LaTeX,PDF formats

Academic publishing domain — manuscript structure,metadata standards

Other tech as a plus ,Java, JavaScript"

Work Experience

5-7Years

📌 Senior Software Engineer (Pune)
🏢 Virtusa
📍 Pune