Job Description

Expert-level Python programming skills

with solid understanding of algorithms, data structures, and OOP.


Strong understanding of

LLMs (Large Language Models)

and

transformer-based architectures

.


Hands-on experience with

LangChain, LangGraph

, and other LLM orchestration frameworks.


Proficiency in

RAG (Retrieval-Augmented Generation)

design and implementation.


Experience in

document ingestion

,

data embedding

, and

vector database management

(FAISS, Pinecone, Chroma, Weaviate).


Strong grounding in

Deep Learning, Machine Learning, and Generative AI

.


Familiarity with

TensorFlow, PyTorch, and Hugging Face ecosystems

.


Experience in

MLOps, Docker, Kubernetes, and CI/CD pipelines

for AI model deployment.


Strong knowledge of

mathematical foundations

-- linear algebra, probability, statistics.


Experience with

cloud AI platforms

(GCP Vertex AI, AWS SageMaker, Azure ML).





Experience with

Big Data frameworks

(Hadoop, PySpark) for large-scale data processing. Exposure to

Kafka

for real-time streaming data pipelines. Knowledge of

time-series forecasting

techniques and applications. Knowledge of

API development

for AI model serving (FastAPI, Flask). Experience in

multi-modal learning

(combining text, images, video, or speech).

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.


Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.


Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.