3,146 model jobs in India.

150k / month

... Stress reports in project deliverable format. (5) Mark-up stress related data (routing changes, support location and types, etc.) on isometrics for updation in 3D model. (6) Prepare Piping Load Summary as input for Civil/Structural design. (7) Prepare Datasheets, RFQ / MR, TBA and VDR for bought out supports (Eg. Springs). (1) ...

150k / month

... Stress reports in project deliverable format. (5) Mark-up stress related data (routing changes, support location and types, etc.) on isometrics for updation in 3D model. (6) Prepare Piping Load Summary as input for Civil/Structural design. (7) Prepare Datasheets, RFQ / MR, TBA and VDR for bought out supports (Eg. Springs). (1) ...

• Remote
• Hybrid

20 - 34 / year

... backend squads to integrate these vision models into production-grade ingestion https://jobeax.com/link/JcPnJNS8HEL7JdHn Responsibilities & Daily Expectations :- Model Development & Fine-Tuning : Build, fine-tune, and optimize deep learning models for text detection, text recognition (OCR), and document layout analysis (using ...

• Full-time

... with cross-functional teams (Product, Engineering, Data Science) to identify use cases and deliver scalable Gen AI applications. - Drive prompt engineering, model evaluation, and performance optimization. - Ensure ethical AI practices, data privacy, and responsible model usage. - Mentor junior team members and contribute ...

... Salesforce applications. Hands-on experience with Sales Cloud . Experience validating Salesforce Lightning applications. Good understanding of Salesforce data model, security model, profiles, roles, and sharing rules. Experience testing Salesforce integrations. Automation Testing Strong experience in automation framework ...

• Hybrid

... advanced analytics and GenAI to support end-to-end data-driven solutions. The ideal candidate will work closely with cross-functional teams to build scalable models, automate workflows, and drive business insights. Key Skills Required GenAI (prompt engineering, model fine-tuning, LLM integration) Python (Pandas, NumPy, ...

... data-backed decision-making (velocity, defect trends, quality metrics, dependency risks) Oversee reporting across multiple teams and ensure data integrity Operating Model & Continuous Improvement Drive adoption of the CAT Digital Operating Model (scoping → execution → tracking) Standardize templates for planning, tracking, and ...

• Hybrid
• On-site

... optimization for domain - specific applications.- Databricks ML & Lakehouse Integration: Build data prep pipelines, orchestrate workflows, and register/deploy models via Databricks Mosaic AI, MLflow, Unity Catalog, and Databricks Model Serving.- Evaluation & Governance: Establish rigorous evaluation frameworks (RAGAS, TruLens, ...

• Hybrid
• On-site

... optimization for domain - specific applications.- Databricks ML & Lakehouse Integration: Build data prep pipelines, orchestrate workflows, and register/deploy models via Databricks Mosaic AI, MLflow, Unity Catalog, and Databricks Model Serving.- Evaluation & Governance: Establish rigorous evaluation frameworks (RAGAS, TruLens, ...

... routing, and construct system-level prompt templates.- Coding & Business Logic : Develop clean-core compliant extensions using the SAP Cloud Application Programming Model (CAP) or ABAP RESTful Application Programming Model (RAP) to embed agentic capabilities into standard business flows.- Joule Customization : Configure and deploy ...

... scalable agentic AI solutions for enterprise use https://jobeax.com/link/p9YtH9K96GYhBF7E Deployment and MLOps:- Deploy and monitor machine learning and GenAI models in production environments.- Use MLflow for experiment tracking and model lifecycle management.- Work with Docker and Kubernetes for containerized AI deployments.- ...

... scalable agentic AI solutions for enterprise use https://jobeax.com/link/p9YtH9K96GYhBF7E Deployment and MLOps:- Deploy and monitor machine learning and GenAI models in production environments.- Use MLflow for experiment tracking and model lifecycle management.- Work with Docker and Kubernetes for containerized AI deployments.- ...

... assignment, and collections. Familiarity with gen-AI techniques for feature creation and transaction tagging on bank transactional data is a plus. - Credit Risk Modeling: Build credit risk models for sub-prime and near-prime customers in a fintech environment with short model build cycles. - Fraud & Risk Defense: Design and ...

• Hybrid

... and business assumptions Apply hypothesis testing, control chart analysis, correlation analysis, and time-series techniques to investigate system behaviour and model performance Monitor model performance, detect drift, and proactively identify quality issues in production AI systems Build data quality and model monitoring ...

• Hybrid

... language models for domain-specific and enterprise applications. - Fine-tune SLMs to improve accuracy, performance, and task-specific capabilities. - Optimize models for low-latency inference and edge deployments. - Develop inference pipelines and evaluate model performance across various environments. - Monitor, benchmark, ...

... demand forecasting or supply chain analytics . - Strong hands-on experience with Python and its associated libraries: - NumPy, Pandas, SciPy - scikit-learn - statsmodels - TensorFlow / PyTorch (for DL models) - Solid experience with Time Series Forecasting techniques and real-world demand planning use cases. - Hands-on experience ...

... experiences, successes, and joy allows everyone to be their best at Ascendion. Develop and enhance data digitization and AI augmented metadata extraction pipelines, model evaluation frameworks, and integration components. Job Title: AI Engineer Develop and enhance data digitization and AI augmented metadata extraction pipelines, ...

... workflows using Agentic AI frameworks.- Integrate LLMs, AI services, APIs, and enterprise data sources into production applications.- Implement prompt engineering, model evaluation, and optimization techniques to improve AI application performance.- Deploy and manage AI solutions using cloud-based AI platforms.- Troubleshoot, ...

... (e.g., Proven ability to develop and deploy machine learning models in a real-world setting. Experience with A/B testing design and analysis. Machine learning model development Experience using cloud computing platforms (e.g., AWS, Azure, GCP) for data processing and model deployment. Knowledge of Bayesian statistics or ...

• Full-time

... performance optimization - Azure Cosmos DB: multi-model APIs, partitioning, consistency, throughput management - Graph databases: Cosmos DB Gremlin API, graph modeling, traversals, relationship analytics API & Backend Development FastAPI proficiency: async endpoints, Pydantic models, middleware, dependency injection Background ...