Senior Cloud Engineer @ Ltimindtree

Mandatory Certification DASCA Big Data Senior Data Scientist OR Databricks Certified Data Scientist Professional OR Microsoft Certified Azure Data Scientist Associate Job Summary We are seeking a highly motivated and skilled Data Scientist to join our growing team The ideal candidate will have a strong foundation in machine learning natural language processing NLP and data engineering with the ability to build scalable AIML solutions for complex business problems You will work on diverse projects including anomaly detection in financial datasets and building GenAIpowered conversational systems Key Responsibilities Design develop and deploy machine learning models for structured and unstructured data Build and finetune NLP pipelines for document understanding and conversational AI Perform anomaly detection and pattern recognition in largescale financial datasets Collaborate with crossfunctional teams including product managers domain experts and engineers Translate business requirements into data science solutions and present findings to stakeholders Ensure model interpretability performance monitoring and continuous improvement Stay updated with the latest advancements in AIML and GenAI technologies such as Agentic AI Primary Skills MustHave Proficiency in Python and libraries such as pandas scikitlearn NumPy PyTorchTensorFlow Strong understanding of machine learning algorithms especially for classification regression and clustering Experience with Natural Language Processing NLP transformers embeddings text classification summarization Familiarity with LLMs Large Language Models and frameworks like LangChain Hugging Face Transformers OpenAI APIs Knowledge of vector databases eg FAISS Pinecone Weaviate and retrievalaugmented generation RAG Experience with data preprocessing exploratory data analysis feature engineering and model evaluation techniques

Handson experience with SQL and working with large datasets

Secondary Skills NicetoHave

Exposure to Devin tool for coding tasks

Experience with cloud platforms AWS Azure GCP and MLOps tools MLflow DVC Airflow

Familiarity with financial data and regulatory reporting eg FRB filings 14Q 9C

Exposure to Docker Kubernetes and API development for model deployment

Good to Have

Experience with timeseries analysis and graphbased models

Understanding of data privacy model fairness and explainability

Contributions to opensource projects or published research papers

Communication Behavioral Skills

Strong verbal and written communication skills to explain technical concepts to nontechnical stakeholders

Ability to collaborate effectively in a team environment and work independently when needed

Demonstrated problemsolving mindset and curiosity to explore new technologies High level of accountability ownership and attention to detail Comfortable working in an agile fastpaced environment with shifting priorities