... to lead a team of talented individuals in utilizing cutting-edge technologies to drive innovation and automation in our operations. Your expertise in Python, Data Structures, Machine Learning, Data Science, Neural Networks, Natural Language Processing (NLP), Deep Learning, Artificial intelligence, Automation, Test Automation, ...
... https://jobeax.com/link/Je3WJR8ihxqHUrlP Responsibilities :- Design and implement end-to-end ML pipelines using Kubeflow to automate model training, evaluation, and deployment workflows for our data science teams.- Integrate Langfuse into existing LLM architectures to monitor performance, track traces, and optimize prompt engineering for improved user outcomes.- ...
... https://jobeax.com/link/Je3WJR8ihxqHUrlP Responsibilities :- Design and implement end-to-end ML pipelines using Kubeflow to automate model training, evaluation, and deployment workflows for our data science teams.- Integrate Langfuse into existing LLM architectures to monitor performance, track traces, and optimize prompt engineering for improved user outcomes.- ...
... developing a collaborative culture that values diverse perspectives and backgrounds. - Preferred Qualifications : - 12+ years of experience in UX or product research, data analytics, data science, customer experience, or related fields. - 6+ years leading and building technical and/or strategic teams, with demonstrated ability to ...
... Support database upgrades, patching, and migrations Collaborate with DevOps, application, and cloud teams Participate in on-call support rotation (24x7) Perform database tuning, monitoring, and performance optimization to ensure database health and security. Ensure security best practices for cloud databases, including encryption, ...
Experience: 6 – 10 years Bachelor's degree in computer science, computer engineering, IT, Data Science Location: Pune or Remote India only Key Responsibilities: Design, develop, and implement Agentic AI systems capable of autonomous decision-making and task execution. Build and optimize AI/ML models leveraging LLMs, NLP, ...
... while showcasing your expertise in data analysis, data analytics, data cleaning, data engineering, data extraction, data interpretation, data manipulation, and data preparation. Key Responsibilities: 1. Accurately entering and updating data into our database system 2. Performing data cleaning and data annotation tasks to ...
Job Summary :We are looking for an experienced SAP Datasphere Consultant with strong expertise in data modeling, data integration, analytics, and SAP cloud data solutions. The ideal candidate should have hands-on experience with SAP Datasphere, SAP HANA Cloud, data modeling, data flows, replication flows, SQL, and SAP Analytics ...
... a part of Database Engineering team and responsible for database administration for Postgres RDS and No-SQL database management. You will be responsible for database design, data architecture, data modeling, performance tuning and capacity planning. You will evaluate, configure, and install database management systems. ...
... with Sales, Data Science, and Product Engineering to understand customer use cases, data integration requirements, and technical constraints given the different data models across customers and Oden. Design and implement technical solutions that integrate relevant data sources to Oden's cloud endpoints, including system configurations, ...
... opportunities to work on real-world AI use cases and contribute to building reliable and useful AI-powered solutions. Requirements - Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Linguistics, or a related field - 0-2 years of experience with AI tools, prompt engineering, ...
... product engineer, platform engineer, or ML-focused engineer . (We are not seeking candidates whose primary scope is CI/CD, infrastructure engineering, or pure data science.) Backend Excellence: Deep understanding of backend architecture, systems design, testing, and API development. Frontend experience is valuable but not ...
... - Stata - Statistical analysis tools - Data manipulation and preparation tools - Data visualization tools Preferred Qualifications - MS or PhD in Statistics, Data Science, Mathematics, Biostatistics, or a related quantitative field. - Experience working with large, unstructured, or noisy datasets. - Experience across multiple ...
... and model regression testing so behavioural changes are caught before release Validate feature pipelines and training/serving consistency in partnership with data science teams A Bachelor's Degree in Computer Science or a related field. Experience Proven track record of hands-on experience in automated testing of web applications ...
... impact on projects that influence investment decision-making processes at top global investment funds. Professional Growth: Access to the latest tools and tech in data science and finance, WITH_REPLACED abundant learning opportunities. Flexible hours and remote work options in a supportive and inclusive company culture. We''''ve ...
... agency-side D2C accounts or multiple concurrent clients across verticals Experience with creative testing and rapid iteration at scale Background in analytics, data science, or technical marketing Familiarity with India-based DTC brands or US-India cross-border commerce Track record of building and scaling high-performing ...
... increasing demand for high-throughput screening and specialized diagnostic tools. Joining this organization offers the opportunity to work at the intersection of data science and biology, contributing to transformative technologies that directly impact the future of preventive healthcare and genomic research. This team is seeking ...
... increasing demand for high-throughput screening and specialized diagnostic tools. Joining this organization offers the opportunity to work at the intersection of data science and biology, contributing to transformative technologies that directly impact the future of preventive healthcare and genomic research. This team is seeking ...
... growth infrastructure changes, ensuring safe rollout of new event handling and email delivery logic without disrupting existing member journeys. Collaborate with Data Science teams to author Technical Design Documents (TDDs) that govern how ML model outputs are consumed into operational pipelines, aligning engineering, DS, ...