... modeling, or deep learning solutions- Troubleshoot, debug, and optimize model performanceRequired Skills:- Strong experience in Python- Hands-on experience in Machine Learning, NLP, or Deep Learning- Good understanding of ML algorithms, statistics, and model evaluation techniques- Experience working with APIs, databases, ...
... maintain model accuracy and relevance in dynamic production https://jobeax.com/link/72xljNf4GfrhBYcv Skillset :- Demonstrated expertise in building and scaling machine learning and deep learning architectures using Python within large-scale production environments.- Proven ability to lead technical teams and manage complex ...
... production. Keep accurate records of production output and machine performance. Skills and Qualifications - 3-5 years of experience in operating blister packaging machines or similar equipment. - Strong understanding of packaging processes and machinery. - Mechanical aptitude and ability to troubleshoot machine issues independently. ...
... retrieval solutions. - Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. - Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. - Utilising Spark & Kafka: ...
... are currently seeking a Tech Consultant - AI & Machine Learning to join our team in Pune, Mahārāshtra (IN-MH), India (IN). Job Title: Tech Consultant – AI & Machine Learning Location: Noida, Pune, Bangalore, Hyderabad, Chennai Job Overview We are looking for a skilled Machine Learning Platform Engineer to design, build, ...
... teams are building applied AI systems that can understand complex text, documents, products, and compliance data. In this role, reporting to the [Sr Manager, Machine Learning, you will join our AI and ML team to help turn cutting-edge AI techniques into reliable, secure, and scalable systems. You will play a key part in ...
... development using FastAPI or similar frameworks.- Experience with ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar frameworks.- Understanding of machine learning concepts including supervised and unsupervised learning, model evaluation, feature engineering, and model optimization.- Understanding of LLM evaluation, ...
... application performance optimization, including:1. Token optimization2. Latency optimization3. Embedding optimization4. CachingGood to Have :- Experience with Azure Machine Learning.- Experience with Microsoft Power Automate / Power Platform.- Experience with Microsoft Graph API and M365 integration.- Exposure to Microsoft Foundry.- ...
... Hands-on with GeoPandas, Shapely, Rasterio, GDAL/OGR, and spatial SQL via PostGIS (or BigQuery GIS). Comfortable manipulating vector and raster data at scale.- Machine learning for tabular/spatial problems: Solid grounding in regression and classification, gradient boosted trees (XGBoost/LightGBM), and feature selection, applied ...
... Qualifications :- Experience in Credit Ratings, Risk Management, or Financial Modeling within a global financial institution.- Proficiency with version control (Git) and automated deployment pipelines (CI/CD).- Knowledge of Python or other languages used in conjunction with R for machine learning workflows (ref:hirist.tech)
... analysts in developing data-driven products, insights, and https://jobeax.com/link/5WM6jVJPxXxkaX5M ideal candidate will have a strong background in applied machine learning, data strategy, and stakeholder management, with proven experience in translating business challenges into scalable analytical https://jobeax.com/link/XnflZD2dGSZYgXFG ...
Roles & Responsibilities :- Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.- Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.- Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous ...
... applications covering transaction processing, analytics, user interfaces, and APIs using a blend of cutting-edge technologies across big data, distributed systems, machine learning, and more. As a Software Engineer, you will deliver these products and solutions with speed and agility as part of a small team. This will involve ...
About the Role We are hiring a results-oriented Senior Machine Learning Engineer to join our growing team in Pune on a hybrid schedule. Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business. The ideal candidate ...
... Responsibilities: - Study and transform data science prototypes - Design machine learning systems - Research and implement appropriate ML algorithms and tools - Develop machine learning applications according to requirements - Select appropriate datasets and data representation methods - Run machine learning tests and experiments - ...
... candidate will have a solid background in maintenance engineering, with hands-on experience in troubleshooting, repair, and preventive maintenance of equipment and machinery. Responsibilities Conduct regular maintenance and repair of machinery and equipment. Diagnose mechanical and electrical faults and implement corrective actions. ...
... strong AI/ML Engineer to build production-grade AI https://jobeax.com/link/XF1OMzY5gzhpXhBJ Experience : - 3+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.- Strong hands-on experience in Python programming, SQL, data analysis, feature engineering, ...
... offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. of Python Development Experience with at least 4 years in data science and machine learning ...
... modern real-time data solutions using Scala , Apache Spark , and Azure Databricks . - Partner with data scientists and business stakeholders to operationalize machine learning models. - Champion data governance, metadata management, and operational excellence across data platforms. - Ensure data quality and integrity by developing ...