25 Job openings found

  Experience Range: 5 to 12 yrs (min 4 years relevant) Responsibilities: Enable Model tracking, model experimentation, Model automation Develop ML pipelines to support  Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS. Work ...

Chemical Engineer with vast experience as process technologist in petrochemical/ chemical/pharmaceuticals process in R&D. • Possess proven R&D skills for various chemical / polymer process technology development / transfer technology.  Core Skills: • Experience in setting up laboratories and experimental set ups for high temperature high pressure gas-liquid-solid catalyzed reactions, laboratory and ...

Exp- 5 -8 yrs Client- HSBC Designation- AM/M (30 Manager/  22 AM) Location- Bangalore only Work Mode- Hybrid ( 2 days from client office) UK Shift. REQ ID-3388   Key Responsibilities: Lead model development projects, ensuring adherence to policy and standards Review projects, guide analysts and managers, and provide analytical support Act as a subject matter expert in model development and ...

About the role You will join a team of talented and friendly Data Scientists in Machine Learning Operation (MLOPs) and AI (Artificial Intelligence) as a Data Science Squad member. Team develops state-of-the-art Machine Learning-powered services for automated Supply Chain optimisation, Pricing strategy improvements, and Service Lifecycle Management including Generative AI-powered Knowledge management ...

The GenAI Developer will be responsible for designing, developing, and deploying generative AImodels focused on image and video generation. This role requires a strong foundation in AI and machine learning, particularly in generative models such as GANs (Generative Adversarial Networks)and VAEs (Variational Autoencoders). The role also involves deploying these models on AWS,ensuring ...

  Roles and Responsibilities Preforming Risk Analytics activities to develop models and support the bank on various analytical initiatives Assist in modeling key risk estimates PD, LGD and EAD for AIRB and IFRS9 framework Regularly engage in model development, validation, and re-development activities Other risk analytics activities include assisting in review and re-development of Macro-Economic ...

JOB SUMMARYLooking for highly skilled and experienced Senior Data Architect. As a Senior Data Architect,you will play a critical role in designing, implementing, and managing data architecture,ensuring it supports both current needs and future aspirations in data and AI. This rolerequires a deep understanding of data architecture principles, data modelling ...

Credit Risk Analytics and Modelling – Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards – in particular for PD, LGD, EAD and related Credit Risk metrics - using ...

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 ...