34 Job openings found

About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the  entire machine learning lifecycle—from data wrangling to deployment—without relying on a  dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive  business outcomes.      Key Responsibilities : ∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model  development, deployment, and monitoring.  ∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,  TensorFlow, or PyTorch.  ∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).  ∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.  ∙Collaborate with BI analysts and business stakeholders to translate requirements into  production-ready solutions.  ∙Maintain and improve existing models and pipelines with minimal supervision.      Required Skills : ∙3+ years of experience in applied data science or ML engineering.  ∙Strong Python programming skills, including experience with data manipulation and ML libraries.  ∙Experience with Databricks and cloud-based ML deployment (Azure preferred).  ∙Ability to work independently across the full stack of ML development and deployment.    ∙Familiarity with version control (Git), CI/CD, and MLOps best practices.  ∙Excellent communication skills and ability to work with remote teams across time zones.      Nice to Have  ∙Experience with data pipeline development using PySpark or Delta Lake.  ∙Exposure to Docker, REST APIs, or real-time inference.  ∙Prior experience working in a manufacturing or industrial analytics environment.    Interview Process:  Shortlisted candidates will be required to complete:  ∙An online technical skills assessment focused on Python and applied machine learning.  ∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world  problem-solving and deployment capabilities.  Hours: 2:30 PM – 11:30 PM IST (working from Office) Reports to: Manager, Data Analytics California, USA 

Required Skillset: 6-10 years of experience in Risk Management with consulting firms or Banks and other Financial Services Certifications like CFA, FRM, CQF Proficiency in MS Excel and PowerPoint Excellent knowledge of AI/ML techniques, including Python, R, and other relevant tools Strong communication skills (oral, written, and email drafting skills) Good organizational, analytical, problem-solving, and project ...

Responsibilities: ML model development. Graph Analytics. Data/Semantic modeling. Graph databases. Research and develop statistical learning models for data analysis. Collaborate with product management and engineering departments to understand company needs and devise possible solutions. Keep up-to-date with the latest technology trends. Communicate results and ideas to key decision makers. Implement new statistical or other mathematical methodologies as needed for ...

Role Summary:   The Credit Risk Quant Analysts will work on developing, validating, and enhancing models for credit risk assessment in banking and financial services.   Key Responsibilities: Validate credit risk models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). Develop and implement credit risk scoring models using advanced statistical ...

JD 1 : Quant Analyst – Market RiskRole Summary:The Market Risk Quant Analysts will focus on market risk model development, validation, andcompliance, ensuring that banks meet regulatory and risk management standards.Key Responsibilities: Validate market risk models, including Value-at-Risk (VaR), Expected Shortfall, and StressTesting frameworks. Develop and enhance models for FRTB ...

Responsibilities: Production pipeline development/deployment. DevOps tools. Automation/Orchestration. Release management. Model Testing. Environment Security. Performance Testing. Data governance. Design the data pipelines and engineering infrastructure Take offline models data scientists to build and turn them into a real machine learning production system. Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our client's machine learning systems. Apply software engineering ...

Designation: Machine Learning Engineer Years of Experience : 8 to 14 Years Location - Remote Role Summary: We are seeking a Machine Learning Engineer (MLE) contractor who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects. The ideal candidate will possess a strong ...

Job Description We are looking for a Senior Machine Learning Engineer who can take ownership of designing, developing, and deploying Computer Vision solutions in production environments. Responsibilities :As a Senior ML Engineer, you will lead the design, development, and deployment of advanced computer vision systems that power AI automation across ...

Job Title: Credit Risk Analyst Role Overview: The Credit Risk Analyst is responsible for assessing, monitoring, and managing credit risk across individual clients, products, and the overall loan portfolio. The role involves using data analytics, financial modeling, and risk management techniques to ensure prudent lending decisions, minimize losses, and maintain compliance ...

Description: Ist month of joining will be at Aegis Ofc Kolkata and rest permanent WFH / RemoteWorking Hours : 8am to 5 pm EST (Eastern Time Zone ) i.e. 5 30 pm to 2 30 am IST . Job Description Senior Performance Engineer About the role This position will work within the Asset Management ...