... https://jobeax.com/link/byrMQBWLnc7Phrsg : - Strong knowledge of supervised and unsupervised machine learning algorithms.- Solid working knowledge of deep learning.- Proven experience with forecasting techniques.- Demonstrated experience building and deploying end-to-end machine learning solutions.- Hands-on proficiency ...
... developments in LLMs, SLMs, agentic AI, machine learning, AI safety, and responsible AI . WHAT MAKES YOU A GREAT FIT - 3+ years of professional experience in Machine Learning, AI/ML Engineering, Data Science, or a related field. - Strong hands-on experience with Machine Learning, LLMs, and SLMs . - Mandatory experience with ...
... developing, integrating, deploying, and monitoring production-grade AI and GenAI https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities:Generative AI and Machine Learning:- Design, develop, and deploy Machine Learning and Generative AI solutions.- Build and integrate LLM-based applications for enterprise use cases.- ...
... 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, ...
... Intelligence Platforms and a Leader in the Gartner® Magic Quadrant™ for 2026– the technology to digitize, augment, and automate decision-making processes with AI and machine learning. Through our AI decision automation platform, Aera Decision Cloud™, we are helping the best-known brands in the world make smarter, faster decisions. ...
... Engineer Develop and enhance data digitization and AI augmented metadata extraction pipelines, model evaluation frameworks, and integration components Hands-on experience with Python, machine learning, NLP, prompt engineering, and AI application development is required Tell us about your experiences, education, and ambitions.
... Strong programming skills in languages such as Python or R. - Experience with data visualization tools and techniques. Nice to have : Familiarity with cloud platforms and tools (e.g., AWS, Google Cloud). Experience in natural language processing (NLP). Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).
... Intelligence Platforms and a Leader in the Gartner® Magic Quadrant™ for 2026 – the technology to digitize, augment, and automate decision-making processes with AI and machine learning. Through our AI decision automation platform, Aera Decision Cloud™, we are helping the best-known brands in the world make smarter, faster decisions. ...
... facing web and native mobile applications. We are hiring passionate AI Software Engineers (Data Scientists) with experience in Python Programming Language, Machine Learning and Generative AI to join our technology team. As a key member, you will play a crucial role in designing, developing, and maintaining data-driven ...
... Python, Tensorflow/PyTorch and query languages like SQL/Hive/Pig; with the ability to use of app development tools such as Docker, Django, Git, etc.- Knowledge of machine learning algorithms like Classification, Regression, Clustering, Computer Vision, NLP/NLU techniques, etc.- Deep Learning architectures in Gen AI focused on ...
... successful resolution patterns into reusable AI-powered platform capabilities and https://jobeax.com/link/CePrSwUYrNVBeAqu :- 12 - 15 years of experience in Machine Learning, Software Engineering, or Data Engineering, with 3 - 5 years of hands-on experience in Agentic AI and Generative AI solutions.- Strong experience deploying ...
... in building end‑to‑end AI/ML solutions, Generative AI applications, and agent‑based automation workflows. The ideal candidate will have a solid background in machine learning along with hands‑on expertise in LLMs, RAG, embeddings, vector databases, and Agentic AI frameworks such as CrewAI, AutoGen, LangGraph, or LangChain ...
... maintain scalable backend services and RESTful APIs using Python and FastAPI. Build and integrate APIs that expose statistical models, analytical services, and machine learning solutions to front end and external systems. Collaborate with data scientists and business stakeholders to operationalize computational and statistical ...
... 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 ...
... ML models and ML algorithms Coding experience in Python. Nice to have Qualifications Experience with wide variety of tools used in ML Experience with Deep learning. Benefits Competitive salary. Hybrid work model. Learning and gaining experience rapidly. Reimbursement for basic working set up at home. Insurance (including ...
... testing strategies - Comfort taking ambiguous problems and turning them into shipped, reliable systems - Experience working in agile teams (Scrum or Kanban) Machine learning background, such as model integration, feature engineering, or applied ML in a fraud, risk, or trust context Frontend experience (React or similar) ...
... 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 ...
Job Title: LLM Engineer Job Type: Contract Location : Hybrid Bangalore, Pune or Delhi Job Summary Join our customer's dynamic team as an LLM Engineer, where you'll leverage advanced language models and cutting-edge frameworks to build high-impact AI solutions.