... Use tools like MLflow and Docker for model lifecycle management and MLOps best practices. Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs. 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based ...
... including Azure SQL, Snowflake, MongoDB, and Databricks environments. Implement proactive monitoring, alerting, forecasting, and automated remediation processes for database performance, storage utilization, security compliance, and operational health. Collaborate with DevOps, Data Engineering, and Application teams to integrate ...
... solution using available data You demonstrate hands-on experience with preprocessing, feature engineering, feature selection and data cleansing on real world datasets Preferably you have work experience in an engineering or technology role You bring a strong background of Python and handling large data sets using SQL in ...
... 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 ...
... AI/ML delivery across the team Serve as the primary data science lead for a significant product or domain area, shaping the AI/ML roadmap with Product and Engineering Drive adoption of responsible and efficient AI practices, including model governance, explainability, and cost-aware deployment Mentor junior data scientists ...
... 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 ...
... 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 ...
... Lead the architecture and development of transformer-based AI systems Drive technical direction for NLP, LLM, and multilingual AI initiatives Mentor and guide junior ML engineers and researchers Optimize model performance using LoRA, QLoRA, PEFT, quantization, and distributed training techniques Collaborate with platform ...
... - 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 ...