1009 Job openings found

1 Opening(s)
3.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
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 and design integrity. • Support project teams in integrating BIM workflows and ensuring compliance with company BIM standards. • Produce construction documents, drawings, and schedules ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
About the Role We are seeking a highly experienced Senior Python Backend Engineer to design, build, and scale backend services for our global art information platform. In this role, you will work on integrating advanced AI/ML models into production systems, powering features such as recommendations, personalization, and intelligent search. This position is ...
2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Role Overview As a Senior Platform Engineer – MLOps, you will play a key role in designing, building, and maintaining the infrastructure and workflows that support our machine learning systems. You’ll work closely with data scientists, ML engineers, and DevOps teams to implement scalable MLOps solutions, mentor team members, and ensure smooth deployment and ...
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)
3.0 Year(s) To 8.0 Year(s)
2.00 LPA TO 6.00 LPA
Hi All,   We are Hiring for AI/ML Engine AI/ML Engineer responsible for building core ML infrastructure that powers adaptive learning for 100K+ students  Develop recommendation engines, predictive analytics, computer vision, and NLP systems using Python, TensorFlow, and PyTorch.   Task:   Design and train ML models for student behavior prediction and content recommendation Build recommendation systems, personalizing study ...
1 Opening(s)
7.0 Year(s) To 10.0 Year(s)
10.00 LPA TO 12.00 LPA
Please search for a suitable candidate for this role. FEA engineers work in the area of Value Engineering. Person can be anywhere in India and can work remotely (work from home). Preferably from West Bengal (open for Kolkata), or North like Faridabad, Manesar, Gurgaon (NCR Location), or in West like Pune, or down South ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
15.00 LPA TO 20.00 LPA
Risk Management Required Qualification: 1. Bachelors in Engineering Discipline with courses in programming taken as part of the curriculum.2. Proficiency in using Excel (including VBA), Python at advanced level is a prerequisite.Knowledge of R will be an advantage.3. Post-graduate degree in Management (finance specialization) / working in capital markets domain.4. Certifications like FRM / ...
1 Opening(s)
3.0 Year(s) To 8.0 Year(s)
15.00 LPA TO 20.00 LPA
1. Monthly ECL Calculation & Data Validation Accurately compute monthly Expected Credit Loss (ECL) per Ind AS/IFRS9 or relevant standards. Collect, clean, and validate data inputs for accuracy and consistency. Analyse data quality, identify anomalies, and take corrective actions. Perform reconciliations and sensitivity analyses to validate results against portfolio risk. Deliver monthly ECL results within ...
1 Opening(s)
8.0 Year(s) To 12.0 Year(s)
20.00 LPA TO 25.00 LPA
Job Summary:-We are seeking a skilled and enthusiastic campus recruiter to join our team. The campus recruiter will be responsible for managing the full life cycle of the recruitment process for entry level positions, this includes identifying and sourcing top talent managing relationships with universities and college career centers, conducting ...

Drop Your CV

We will consider your Profile for future Jobs

Submit Profile