Data Engineer

FTC/FTE position (Not a contract role)

5 days onsite is must.

AIML, Machine Learning & Data Science. Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas)

Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail building AIML Solutions for Test Generation, Test Prioritization, Defect Triage/Reporting, Code Coverage, Framework Migration/Setup. The role requires experience in AIML(LLMs, Gen AI & Agentic AI) & Python.

The role will require proficiency in all aspects of AIML & Software Development including: Knowledge of AIML & Python is must. Ability to develop and implement Generative AI & Retrieval Augmented Generation solutions focused on software testing. Experience with Large Language Models(GPT, Claude). Hands- on experience with GitHub Copilot. Must be a regular user of Agentic AI solutions and MCPs. Deployment experience with Docker & Kubernetes to deploy the AIML solutions is good to have. Front End experience in React to build Front End for the AIML solutions is a plus. Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas). Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred. Experience with building, training & finetuning AIML models is a plus. Bachelor's degree in Computer Science or related field of study or equivalent relevant experience; demonstrated experience of Data Science & AIML with focus on quality assurance solutions. Lifecycle principles and quality assurance processes and methodologies. Experience with automated testing with good understanding of test automation frameworks. Good grasp of SQLs. Experience of working in an Agile environment, participating in sprint planning, backlog refinement, and retrospectives. Must have excellent verbal and written skills being able to communicate effectively on both a technical and business level.

Large Language Models(GPT, Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas)

Candidates will be expected to work on developing & implementing AIML Solutions for Test Automation in the Securities Processing space. This will entail building AIML Solutions for Test Generation, Test Prioritization, Defect Triage/Reporting, Code Coverage, Framework Migration/Setup. The role requires experience in AIML(LLMs, Gen AI & Agentic AI) & Python.

The role will require proficiency in all aspects of AIML & Software Development including: Knowledge of AIML & Python is must. Ability to develop and implement Generative AI & Retrieval Augmented Generation solutions focused on software testing. Experience with Large Language Models(GPT, Claude). Hands- on experience with GitHub Copilot. Must be a regular user of Agentic AI solutions and MCPs. Deployment experience with Docker & Kubernetes to deploy the AIML solutions is good to have. Front End experience in React to build Front End for the AIML solutions is a plus. Hands- on experience with Python libraries like(NLTK, NumPy, Scikit-learn, Pandas). Knowledge of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means) is preferred. Experience with building, training & finetuning AIML models is a plus. Bachelor's degree in Computer Science or related field of study or equivalent relevant experience; demonstrated experience of Data Science & AIML with focus on quality assurance solutions. Lifecycle principles and quality assurance processes and methodologies. Experience with automated testing with good understanding of test automation frameworks. Good grasp of SQLs. Experience of working in an Agile environment, participating in sprint planning, backlog refinement, and retrospectives. Must have excellent verbal and written skills being able to communicate effectively on both a technical and business level.