Job Description:

Key Responsibilities

• Develop and implement machine learning and NLP models for classification, regression, text analytics, summarization, or extraction tasks.

• Support development of Generative AI and Retrieval-Augmented Generation (RAG) based applications.

• Work with vector databases and embeddings to support semantic search and contextual response systems.

• Participate in creation and maintenance of end-to-end ML pipelines including data processing, model training, testing, and deployment.

• Integrate ML/GenAI models with backend services (API-based interaction).

• Evaluate model performance using metrics such as Precision, Recall, F1, ROC-AUC, and improve results iteratively.

• Collaborate with senior engineers/architects on design decisions, performance optimization, and deployment.

• Document code, experiments, and reusable components.

• Participate in agile sprint planning, demos, and troubleshooting.

Required Skills & Experience

• 1.5–3.5 years of hands-on experience in AI/ML or NLP development

• Strong programming skills in Python (pandas, numpy, scikit-learn, nltk/spacy)

• Working experience with LLMs, embeddings, and RAG concepts

• Knowledge of vector databases such as FAISS / Chroma / Milvus / Pinecone

• Understanding of ML lifecycle: data cleaning, feature engineering, training, evaluation, tuning

• Experience building REST APIs (FastAPI / Flask / Django)

• Familiarity with cloud fundamentals (AWS or Azure) and model deployment basics

• Strong debugging skills and ability to work in structured codebases

• Experience with Git and collaborative development

Good to Have

• Exposure to GenAI frameworks such as LangChain, LlamaIndex, or similar

• Experience with CI/CD and MLOps tools (MLflow, Airflow, Docker, Lambda)

• Basic understanding of distributed processing using Spark / Databricks

• Experience with building scalable RAG systems

• Frontend UI wiring experience for demo workflows

Soft Skills

• Strong analytical and problem-solving ability

• Ability to learn quickly and adapt

• Effective communication and documentation

• Team player with willingness to take ownership

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.

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