... departm Strong understanding of banking regulations, including Specific Regulations or Standards, enabling seamless integration of compliance requirements into data engineering solut Excellent problem-solving skills, demonstrated through successful resolution of complex data integration challenges and adherence to data quality ...
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .
... quantitative/qualitative analysis. Complete all responsibilities as outlined on annual Performance Plan. About You: Should hold a Bachelor's or Master's degree in data/analytics, computer science, engineering, economics, mathematics, or statistics. Should have experience using machine learning tools to develop production-strength ...
... architectures like RNNs and LSTM , BERT Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases. Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles Keep abreast with new tools, algorithms ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... Generative AI/LLMs to improve workflows such as automated triage, intelligent alerting, summarization, or recommendations - Solid data engineering fundamentals (SQL, data modeling, ETL/ELT, distributed data systems) and effective partnership with Data Engineering teams - Bachelor's degree in Computer Science, Data Science, Statistics, ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...
... Design and implement GenAI systems with LangChain , RAG , and agent workflows Translate business goals into production-ready AI applications Work with prompt engineering , embeddings, and vector databases Collaborate with engineering, product, and data teams on performance optimization Deploy AI solutions on AWS, Azure, or ...
... operationalize data science and analytical solutions as well as ensure its adoption by businesses. Work toleveragedata (Transactional / Big Data, External/ Internal Data, Structured/ Unstructured Data) and analytics methodsto develop analytics solutions 6 - 8 years of experience, preferred - BTech-BE from Tier 1/2 engineering ...
... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...
... learning and GenAI tools to uncover insights, drive action and deliver innovative solutions for complex business challenges. Collaborate across a diverse team of data scientists, engineers, and product managers Deepen your expertise in the evolving AI and ML landscape Drive meaningful impact for thousands of Microsoft sales, ...
... contributing to organizational https://jobeax.com/link/dZl2Pf8ll7nNVerR : BengaluruYour Future Employer :It is a global AI and analytics company specializing in data-driven solutions, advanced analytics, data engineering, governance, MLOps, and AI-powered/Generative AI solutions. Founded in 2011, it works with major organizations ...
... business needs and data volumes. Champion modern data architecture patterns including data products, data contracts, observability, self-service capabilities, metadata-driven architectures, and AI-assisted engineering practices. Data Products & Business Impact Lead the design and delivery of data products that generate measurable ...
... consumer behavior and the influencers that drive it. As a Data Classification Associate, you will perform various duties related to data entry. Enter required data in accordance with detailed data entry guidelines and project- specific requirements. This key function requires learning and adhering to: General data entry ...
... developer tooling framework to ensure data is seamlessly and securely consumed by services across the entire Okta ecosystem. - Collaborate with India-based engineering and development scrum teams to deliver high-performance data pipeline enhancements and architectural improvements. - Distill complex requirements from a ...
... infrastructure and scalable deployments 2+ years of experience in Data Science / Machine Learning / NLP - Proven experience in model training and fine-tuning using custom datasets - Hands-on experience with Hugging Face, PyTorch, or TensorFlow - Vector Databases: Pinecone, Milvus – for embeddings and semantic search in translation or ...
... - Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc - Understand business problems and translate them into AI/ML solutions. - Perform data collection, preprocessing, feature engineering, and exploratory data analysis. - Develop supervised and unsupervised machine learning models. - Design and optimize ...
... analysis a part of the output) to the client as a part of decision-making. Evaluate and select the tools and components necessary for optimal data management (data acquisition, data storage, data quality, data governance, data visualization). Client data handling, generally high size of data. Loading, analyzing the data ...
... data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis to assess quality and meaning of data Working with programmers, engineers, and management heads to identify ...
... Perform data cleaning and preprocessing to prepare datasets for analysis. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Work with cloud platforms (e.g., AWS, Azure, Google Cloud) to store, manage, and analyze data. Use statistical techniques and software to analyze datasets, ...