3 Pythongit Jobs

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation, At YASH, were a cluster of the brightest stars working with cutting-edge technologies Our purpose is anchored in a single truth bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future, We are looking forward to hire SAP MII Professionals in the following areas : Must have experience in the MII core areas of building Queries, Business Logic Transactions, Plant Information Catalog, SSCE, SAP OEE module, and Interface to SAP ECC/S4HANA, Must have experience in DMC core areas of application configuration, BOM, Routing, Data Collection, Resource Orchestration, Shop floor Designer, Insights and Interface to SAP SCC/S4HANA, Must have process knowledge from the Discreet Manufacturing and/or Process Industry, Good Manufacturing domain knowledge Good communication skills and to be customer facing At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale, Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

IMEA (India, Middle East, Africa) India LIXIL INDIA PVT LTD Employee Assignment Fully remote possible Full Time 1 May 2025 Title Data Engineer Job Description A Data Engineer is responsible for designing, building, and maintaining large-scale data systems and infrastructure Their primary goal is to ensure that data is properly collected, stored, processed, and retrieved to support business intelligence, analytics, and data-driven decision-making, Key Responsibilities Design and Develop Data Pipelines: Create data pipelines to extract data from various sources, transform it into a standardized format, and load it into a centralized data repository, Build and Maintain Data Infrastructure: Design, implement, and manage data warehouses, data lakes, and other data storage solutions, Ensure Data Quality and Integrity: Develop data validation, cleansing, and normalization processes to ensure data accuracy and consistency, Collaborate with Data Analysts and Business Process Owners: Work with data analysts and business process owners to understand their data requirements and provide data support for their projects, Optimize Data Systems for Performance: Continuously monitor and optimize data systems for performance, scalability, and reliability, Develop and Maintain Data Governance Policies: Create and enforce data governance policies to ensure data security, compliance, and regulatory requirements, Experience & Skills Hands-on experience in implementing, supporting, and administering modern cloud-based data solutions (Google BigQuery, AWS Redshift, Azure Synapse, Snowflake, etc), Strong programming skills in SQL, Java, and Python, Experience in configuring and managing data pipelines using Apache Airflow, Informatica, Talend, SAP BODS or API-based extraction, Expertise in real-time data processing frameworks, Strong understanding of Git and CI/CD for automated deployment and version control, Experience with Infrastructure-as-Code tools like Terraform for cloud resource management, Good stakeholder management skills to collaborate effectively across teams, Solid understanding of SAP ERP data and processes to integrate enterprise data sources, Exposure to data visualization and front-end tools (Tableau, Looker, etc), Strong command of English with excellent communication skills,

We are seeking a highly skilled AI/LLM Engineer with strong experience in Python programming and hands-on expertise in building applications powered by Large Language Models (LLMs) The ideal candidate will play a critical role in designing, developing, and deploying advanced AI solutions, leveraging techniques such as prompt engineering, vector search, and modern ML practices, Essential Functions Design, develop, and implement LLM-based applications, with a focus on AI Agents, conversational systems, and intelligent decision-making pipelines, Develop and optimize prompts and prompt orchestration frameworks tailored to specific use cases, Implement vector search and retrieval-augmented generation (RAG) pipelines to improve model output relevance, Collaborate with product and data teams to translate business requirements into scalable AI-driven solutions, Deploy, optimize, and monitor AI applications in cloud environments (Azure, GCP, or AWS), Stay updated with advancements in LLMs, NLP, and generative AI technologies, incorporating best practices into projects, Contribute to code reviews, technical discussions, and knowledge sharing within the team, Qualifications Looking for minimum 3+ years of experience Strong programming skills in Python (object-oriented programming, scripting, APIs, and libraries), Proven experience in building LLM-based applications and/or AI Agents, Proficiency in prompt engineering and evaluation techniques, Hands-on expertise with vector search technologies (e-g , FAISS, Pinecone, Weaviate, or equivalent), Experience deploying applications on at least one major cloud provider (Azure, GCP, or AWS), Would be a plus Background in Data Science or Machine Learning Engineering, with experience in NLP techniques, Prior experience with Microsoft Azure AI and Cognitive Services, including deployment and scaling, Familiarity with MLOps practices, CI/CD for machine learning models, and monitoring tools, Knowledge of transformer architectures and model fine-tuning, We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About Us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India,