... anonymization for compliance with privacy regulations (e.g., AI/ML-Ready Data Foundation: Enable data scientists by delivering high-quality, feature-rich data sets for model training and inference. Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks. Collaborate ...
... client engagement, industry, and business process expertise Engagement with client senior leadership focused on Transformation Roadmap creation, Target operating model and Optimizing Tactical Value Engage with clients on driving Automation as a strategic enabler and conveying the components of RPA & Cognition (AL,ML), ecosystem ...
... identity governance, RBAC, service principals, managed identities, and conditional access policies. Support and evolve network architectures, including stamp model topology and hub-and-spoke architecture, for secure, multi-region scalability. Develop and maintain CI/CD pipelines using Azure DevOps for automated and reliable ...
... 3+ years of experience designing, building, and operating AI/ML platform or infrastructure, with hands-on experience across building tooling for MLOps/LLMOps, model serving, retrieval and vector infrastructure, and eval/observability instrumentation for LLM integration (OpenAI, Anthropic, or open-source models). 3+ years ...
... Requirements: 5+ years of hands-on experience in data science using techniques including but not limited to regression, classification, NLP etc. Previous experience in model deployment, model monitoring, optimization and model interpretability. Expertise with Random forests, Gradient boosting, KNN, Regression and unsupervised learning ...
... engines, and semantic search applications. Fine-tune and customise foundation models using techniques like LoRA, PEFT, and prompt-tuning. Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs. Apply NLP techniques such as entity recognition, topic modelling, summarisation, sentiment analysis, ...
... services, and growth goals. The team analyzes business viability, identifies expansion opportunities, and supports founders in creating scalable franchise and growth models. Analyze business models and identify opportunities for growth and expansion. Collaborate with founders to set up initial meetings for franchise expansion. ...
... AI infrastructure using AWS (application infrastructure), Hetzner (GPU/model hosting infrastructure), Docker, and Terraform.- Develop production-grade APIs, model-serving and inference systems, and data/ML pipelines.- Support self-hosted model infrastructure on Hetzner GPU instances - model serving (e.g., vLLM or TGI for ...
... Business units to prioritize projects and deliver measurable https://jobeax.com/link/16SKsgHYjYMBKLfq Execution :- Oversee the design and deployment of predictive models, recommendation systems, and advanced analytics solutions.- Drive the adoption of best practices in model development, feature engineering, validation, and ...
... business intelligence, the company supports thousands of global enterprises in navigating complex operational challenges through its scalable, high-performance modeling https://jobeax.com/link/rMU1D469BuRFkHSy Overview :As an Anaplan Model Builder based in Gurgaon, you will serve as a critical bridge between complex business ...
... in computer science or a related field, with at least 2–6 years of relevant experience. Experience training, building, and deploying large-scale deep learning models is required. Experience designing and implementing sequence and time-series models is required. Expertise in Python, with hands-on experience using deep learning ...
... • Ability to translate business requirements into scalable SAP solutions • Mentoring and coaching mindset • Excellent documentation and presentation skills ________________________________________ Location & Work Model • Location: As per project requirements • Work Model: Hybrid / Onsite / Offshore (project dependent)
... systems development - knowledge of formal process and software quality standards such as SPICE, CMMI, ISO16949 - deep knowledge of software and systems development models and strategies such as the 'V-Model', Agile Software development, Scrum - Experience in Polarion or any other Project Management tool PMP or Equivalent certifications. ...
... engineering competenciesmodel development, data pipelines, and MLOpsrather than on Generative AI https://jobeax.com/link/EfG7v6MHmjsmI0GX JOB RESPONSIBILITIES : 1. Model Development & Deployment : - Design, train, and optimize ML models using PyTorch or TensorFlow for production-grade applications.- Build scalable data pipelines ...
We are building transformer models focused on multilingual translation and custom transformer architectures. Our team works on large-scale NLP and transformer-based models with a strong focus on research, experimentation, model optimization, and production-grade AI systems. We are looking for a highly technical Data Scientist ...
... capabilities moving to modular hubs known as the Grid. The ERP Business Systems Architect leads this change from a CTIO perspective, defining the target operating model, platform boundaries and solution roadmap for the future finance platform, and owning how it integrates with the wider enterprise architecture. What we offer ...
... capabilities moving to modular hubs known as the Grid. The ERP Business Systems Architect leads this change from a CTIO perspective, defining the target operating model, platform boundaries and solution roadmap for the future finance platform, and owning how it integrates with the wider enterprise architecture. What we offer ...
... Product Development Life Cycle, Concept and Design. Experience in Electric Vehicle Autonomous Vehicle wiring harness design. Knowledge about PLM to release the 3D model and drawing in customer site. Desired Skill Set Experience in Vehicle electrical engineering is preferable. Experience in electrical wiring harness is must. ...
... peers’ comparison, and recovery analysis Incorporate acquisition/merger announcements (merger models) or long-term business plan projections in the existing model of the portfolio companies Reviewing credit agreements and bond indentures for the covenant package and incorporating them in models for covenant testing Publishing ...