106 Job openings found

1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
10.00 LPA TO 14.00 LPA
About the job: The Corporate Finance Advisory team is seeking an experienced manager to curate deals and provide comprehensive corporate finance advisory services. The ideal candidate will act as a single point of contact (SPOC) for relevant deals, overseeing them from start to finish. Key responsibilities include conducting valuations, financial and commercial due ...
1 Opening(s)
0.6 Year(s) To 3.0 Year(s)
2.40 LPA TO 4.00 LPA
Job SummaryWe are seeking a motivated BIM Trainee to support 3D modelling and documentation of MEP systems using Revit. This role is ideal for freshers or early professionals looking to build a career in BIM and digital engineering.Key ResponsibilitiesDevelop and update basic 3D BIM models (ducts, pipes, conduits, equipment)Prepare 2D ...
3 Opening(s)
4.0 Year(s) To 6.0 Year(s)
12.00 LPA TO 15.00 LPA
We’re looking for an AI/ML Engineer with hands-on expertise in LLMs, Agentic AI, NLP and some Computer Vision. You’ll build scalable AI solutions using transformer-based models, LLM-powered chat systems, and vector databases, primarily in Python. A research-driven, proactive mindset is highly valued.What you’ll do: o Build and optimize document classification & information extraction pipelines o Build Agentic AI for FinTech usacases o Train/fine-tune NLP models (Transformers/LLMs) for classification tasks o Implement LLM ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
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 
1 Opening(s)
2.0 Year(s) To 6.0 Year(s)
12.00 LPA TO 15.00 LPA
Valuation Model Development: Designing, developing, and maintaining valuation models to assess the financial worth of assets, projects, or companies. This includes utilizing various valuation techniques such as discounted cash flow (DCF), comparable company analysis (CCA), and precedent transactions analysis (PTA). Financial Modeling: Creating and managing financial models to analyze and forecast ...
1 Opening(s)
12.0 Year(s) To 17.0 Year(s)
25.00 LPA TO 30.00 LPA
    We are looking for a Head of Design to manage and lead the design solutions team comprising of upto 30 architects, 200+ consulting architects and 500 projects in the pipeline at any given  point in time.    Job profile / KRAs of Design Head   To set up a qualified design solutions team To set up SOPs for empanelment of architects, design delivery and client management and ensure adherence of the SOPs by the team and consultants Take regular reviews of the team and consultants to ensure on time ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
3.50 LPA TO 5.00 LPA
As a Design Engineer you have responsibility to finish the design, modelling & drafting work allocated to you in an efficient and timely manner. This job will entail completion of 3D models and engineering drawings, maintaining your work documentation and keeping all your projects organized. You will work with Engineers/Project Managers based in different ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
3.00 LPA TO 4.00 LPA
About the Job: As a Design Engineer, you have a responsibility to finish the design, modeling & drafting work allocated to you by your seniors in an efficient and timely manner. This job will entail the completion of 3D models and engineering drawings, maintaining work documentation, and keeping all projects organized. You will work with ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
10.00 LPA TO 12.00 LPA
Onboarding of design & Execution partners Identifying metrics and quality checks for shortlisting Architects, Design consultants & contractors and helping in the shortlisting and empanelment process    Project Design Management Review of designs prepared by the empanelled Architects for the clients Monitoring the progress of projects & ensuring adherence to timeline, quality & budget Provide critical ...
4 Opening(s)
1.0 Year(s) To 6.0 Year(s)
2.50 LPA TO 6.00 LPA
Roles & Responsibilities:    Developing trading strategies, from idea generation and data collection to analysis and model creation  Perform large-scale analysis on proprietary dataset to solve problems  Independent research on quantitative investment strategies across all asset classes  He / she shall be a part of a team that works in a lab environment designed to ...

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