1010 Job openings found

We are building the next-gen AI-native, multilingual, Omni channel communication platform for emerging markets. We are looking for a hands-on AI/ML & Data Engineering Lead who will own and deliver critical components of our agent assist stack — including Whisper/STT, LangChain-based summarization, emotion tagging, GPT integration, and scalable data pipelines. ...

Position Title: Senior Manager – Learning & Development Reason for Hiring Growth-driven role to support the expansion of language, culture, and soft-skills training verticals. The position requires a senior leader who can own end-to-end training delivery, strengthen quality frameworks, and drive revenue through strong client-facing engagement. Reporting Structure Reports to: MD / CEO (Varun) Weekly ...

Role:  Dynamics 365 Work Mode: Onsite - Chennai  Year of Experience: 4-7 YearsNo of Positions: 1Notice Period: Immediate Budget: 7 - 10 LPA   Good To Have Skills: CommunicationMust Have Skills: LLMOps/MLOps, CI/CD, SLA/SLOExternal Description Owns model deployment, versioning, orchestration, monitoring, and governance across the LLMOps/MLOps lifecycle in Azure & Dynamics.  Implements CI/CD, blue/green/canary releases, rollback safety; tracks SLA/SLO and audits. Monitors system health, API ...

Key Responsibilities Develop and optimize computer vision models for object detection, segmentation, classification, tracking, OCR, etc. Build end-to-end deep learning pipelines from data collection, preprocessing, training, tuning, and deployment. Implement advanced image processing techniques for feature extraction and image enhancement. Design and train models using CNNs, RNNs, Transformers, Vision Transformers (ViT), GANs, and diffusion ...

Key Responsibilities• Develop and manage detailed BIM models for architectural projects using Revit and related software.• Coordinate BIM models across disciplines (Architecture, Structure, MEP) to ensure accuracy anddesign integrity.• Support project teams in integrating BIM workflows and ensuring compliance with company BIMstandards.• Produce construction documents, drawings, and schedules directly from ...

Job RequirementsRole/ Job Title: Analyst - Model Risk Management - IFRS9 Function/ Department: Risk-PAU Job Purpose: The responsibility of the role is to manage end-to-end ECL computation, Reporting, Analytics and Disclosures under IFRS 9, as per extant guidelines. Roles & Responsibilities: · Data Analysis: - Collect, clean, and analyze data related to retail banking portfolios ...

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 

Key Objective of the Job: To handle responsibilities mapped to profile of Area Credit Manager. Handling and evaluating/ assessing CAM Note as well financial model submitted by Business Team To prepare credit note / financial model with correct information (gathered via business team / public domain / other resources) To be able to ...

Data Architect & Modelerjob DescriptionTo design and implement scalable and robust data architectures. The ideal candidate will model data for analytics and reporting, ensure data integrity, security, and compliance, and collaborate with business stakeholders to optimize data flows and processes. ResponsibilitiesDesign and implement scalable and robust data architectures.Model data for analytics ...

General Manager-Team Head   Job Overview: Will be responsible for driving sales of All products or specific products in a specific Territory area with Team leaders. The individual will lead a team of sales executives or Business Managers or Associate Business Managers to achieve sales targets, on how to build strong relationships with ...