4817 Retrieval Jobs - Page 50

Role Purpose With minimal guidance, act as part of a team to process transactions in accordance with Service Level Agreements. Follow appropriate accounting, finance and/or Human Resources policies and procedures in assigned function. Identify discrepancies, clear errors, and perform route-cause analysis. Contribute to the continuous improvement of all areas in process scope. Track and report specific Service Level Agreement requirements and metrics. Key Accountabilities SPECIALITY PROCESSING - Process transactions in accordance with Service Level Agreements. Maintain and update the team’s records management for tracking, communications and continuous improvement purposes. Perform specialty accounting or human resources functions such as maintaining, reconciling, analyzing, and preparing financial statements. Specialty accounting functions include, but are not limited to, providing expertise in the investigation and analysis of significant changes in key account balances. Responsibilities also include identifying and implementing solutions to resolve significant changes to key account balances. Review a variety of documents, listings, summaries, etc. for completeness and accuracy. Analyze assigned system reports to ensure accuracy, research and resolve problems; ensure the integrity of assigned system and data. Prepare and compile various reports as required for special studies and projects. Prepare monthly financial statements using standard accounting practices. Communicate with the customer to obtain correct information or financial data, as necessary. Check records against other current sources such as reports or summaries; investigate differences and take required action to insure that records are accurate and up to date. Operate a computer system, including input, edit, retrieval and analysis of transactional data. Provide recommendations for future system enhancements and process improvements. Select, interpret, classify and adjust inputted data and arrange, convert and compile data into report form. Facilitate continued improvement efforts with the Work Team and with the Customer and Process Support Team. CUSTOMER SUPPORT - May be required to talk to customers, clients or suppliers over the phone. May contact the Customer and Process Support Team to obtain correct information on the remittance advice, as necessary. Apply analytical techniques to one or more disciplines. May perform statistical analyses and create accurate charts, tables and graphs in the correct format and within established time frames as required. Select and use appropriate software to effectively analyze data. Compile and analyze financial information. Effectively communicate findings and make recommendations to appropriate staff, including key stakeholders and business leaders. Maintain a consistent, high quality customer-focused orientation. Listen to and communicate with customer to obtain all required information necessary to determine and address their specific needs; tactfully explain why, if service cannot be provided. Respond to individuals in manner and timeframe promised or follow-up to explain status. Provide clear, accurate information; explain procedures or materials or provide supplemental information; anticipate problems or questions. Functional Complexities and Duties – Prepare monthly hotel and corporate financial statements and ensuring integrity and accuracy are maintained. Prepare and review monthly balance sheet and bank reconciliation’s and appropriate reconciling journal entries. Responsible for financial data collection process. Prepare or review work-papers for internal / external auditors. Facilitate training and supporting hotel general management / accounting staff. Key Skills & Experiences Education – Associate Degree or Bachelor's Degree or technical institute degree/certificate or an equivalent combination of education and work related experience. Experience – 1 to 3 years progressive work related experience with demonstrated proficiency and understanding in one or more functions related to the position. Technical Skills and Knowledge – Demonstrated knowledge of People Soft or other E.R.P. system’s finance, accounting and/or Human Resources modules. Demonstrated proficiency in accurately populating databases with necessary information in designated time periods. Demonstrates clear, concise and succinct communication skills including adapting both verbal and written communication to the needs and level of the user. Don't quite meet every single requirement, but still believe you'd be a great fit for the job? We'll never know unless you hit the 'Apply' button. Start your journey with us today.

Area(s) of responsibility Application Development: Build GenAI applications from scratch using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Python Programming: Develop high-quality, efficient, and maintainable Python code for GenAI solutions. Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. Fine-tune SLM(Small Language Model) for domain specific data and use cases. Front-End Integration: Implement user interfaces using front-end technologies like React, Streamlit, and AG Grid, ensuring seamless integration with GenAI backends. Data Modernization and Transformation: Design and implement data modernization and transformation pipelines to support GenAI applications. OCR and Document Intelligence: Develop solutions for Optical Character Recognition (OCR) and document intelligence using cloud-based tools. API Integration: Use REST, SOAP, and other protocols to integrate APIs for data ingestion, processing, and output delivery. Cloud Platform Expertise: Leverage Azure, GCP, and AWS for deploying and managing GenAI applications. Fine-Tuning LLMs: Apply fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLMs for specific use cases. LLMOps Implementation: Set up and manage LLMOps pipelines for continuous integration, deployment, and monitoring. Responsible AI Practices: Ensure ethical AI practices are embedded in the development process. RAG and Modular RAG: Implement Retrieval-Augmented Generation (RAG) and Modular RAG architectures for enhanced model performance. Data Curation Automation: Build tools and pipelines for automated data curation and preprocessing.

Tech Lead Experience: 7-9 Years Exp Salary: 20 to 24 LPA Preferred Notice Period : Within 30 Days Opportunity Type: Office (Indore) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Python, React.js, Docker, Kubernetes vEngageai (One of Uplers' Clients) is looking for: Job Description: About the Role: We are seeking a Senior Software Engineer – Tech Lead to join our dynamic team. This role is critical in driving the architecture, development, and delivery of robust backend systems across our product line. As a Tech Lead, you will be hands-on with implementation while also guiding your team, conducting code reviews, and ensuring best practices are followed. You will be deeply involved in all ongoing projects within the product line, helping to "connect the dots" across systems, teams, and technologies to deliver scalable and high-performing enterprise solutions. Key Responsibilities Backend Development: Design, implement, and maintain backend services and APIs with a focus on scalability, security, and performance. Architectural Ownership: Serve as the lead architect for backend systems, defining and refining system designs and ensuring long-term scalability and maintainability. Project Involvement: Be actively involved in all projects running within the product line—understanding requirements, tracking progress, and offering strategic direction. Team Guidance: Guide and mentor developers through code reviews, technical guidance, and knowledge-sharing sessions. Help the team understand how projects are architected and operate in production. Code Reviews & Implementation Oversight: Conduct detailed code reviews to ensure adherence to best practices and lead implementation efforts on critical components. Database Engineering: Architect and optimize relational and NoSQL databases, ensuring efficient data storage and retrieval processes. System Engineering: Monitor and optimize system-level performance and architecture to maintain high availability and reliability. Distributed Systems: Build and maintain distributed architectures to support high availability, concurrency, and fault tolerance. Containerization: Develop and deploy applications using Docker, Kubernetes, or equivalent container orchestration tools. Collaboration: Work closely with cross-functional teams, including frontend engineers, DevOps, QA, and product managers, to deliver end-to-end features. Connect the Dots: Align efforts across development, architecture, DevOps, and product strategy—ensuring a holistic view of how components interoperate and impact the business. Required Skills and Qualifications 7+ years of experience in backend development, system engineering, or similar roles. Proven experience as an individual contributor (IC) and architect in complex software systems. Expertise in languages such as Python. Strong knowledge of relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases. Experience building distributed systems and working with microservices and event-driven architecture. Proficiency in Docker and Kubernetes for containerization and orchestration. Familiarity with cloud platforms like AWS, Azure, or GCP. Solid understanding of CI/CD pipelines, monitoring tools, and Git-based version control. Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment. Good to Have Experience with frontend frameworks like React, Angular, or Vue.js. Understanding of state management, component-driven architecture, and responsive design. Familiarity with UI/UX principles to bridge frontend and backend functionality. How to apply for this opportunity: Easy 3 Step Process: 1. Click On Apply and register or log in to our portal 2.Upload updated Resume & complete the Screening Form 3. Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Tech Lead Experience: 7-9 Years Exp Salary: 20 to 24 LPA Preferred Notice Period : Within 30 Days Opportunity Type: Office (Indore) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Python, React.js, Docker, Kubernetes vEngageai (One of Uplers' Clients) is looking for: Job Description: About the Role: We are seeking a Senior Software Engineer – Tech Lead to join our dynamic team. This role is critical in driving the architecture, development, and delivery of robust backend systems across our product line. As a Tech Lead, you will be hands-on with implementation while also guiding your team, conducting code reviews, and ensuring best practices are followed. You will be deeply involved in all ongoing projects within the product line, helping to "connect the dots" across systems, teams, and technologies to deliver scalable and high-performing enterprise solutions. Key Responsibilities Backend Development: Design, implement, and maintain backend services and APIs with a focus on scalability, security, and performance. Architectural Ownership: Serve as the lead architect for backend systems, defining and refining system designs and ensuring long-term scalability and maintainability. Project Involvement: Be actively involved in all projects running within the product line—understanding requirements, tracking progress, and offering strategic direction. Team Guidance: Guide and mentor developers through code reviews, technical guidance, and knowledge-sharing sessions. Help the team understand how projects are architected and operate in production. Code Reviews & Implementation Oversight: Conduct detailed code reviews to ensure adherence to best practices and lead implementation efforts on critical components. Database Engineering: Architect and optimize relational and NoSQL databases, ensuring efficient data storage and retrieval processes. System Engineering: Monitor and optimize system-level performance and architecture to maintain high availability and reliability. Distributed Systems: Build and maintain distributed architectures to support high availability, concurrency, and fault tolerance. Containerization: Develop and deploy applications using Docker, Kubernetes, or equivalent container orchestration tools. Collaboration: Work closely with cross-functional teams, including frontend engineers, DevOps, QA, and product managers, to deliver end-to-end features. Connect the Dots: Align efforts across development, architecture, DevOps, and product strategy—ensuring a holistic view of how components interoperate and impact the business. Required Skills and Qualifications 7+ years of experience in backend development, system engineering, or similar roles. Proven experience as an individual contributor (IC) and architect in complex software systems. Expertise in languages such as Python. Strong knowledge of relational (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases. Experience building distributed systems and working with microservices and event-driven architecture. Proficiency in Docker and Kubernetes for containerization and orchestration. Familiarity with cloud platforms like AWS, Azure, or GCP. Solid understanding of CI/CD pipelines, monitoring tools, and Git-based version control. Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment. Good to Have Experience with frontend frameworks like React, Angular, or Vue.js. Understanding of state management, component-driven architecture, and responsive design. Familiarity with UI/UX principles to bridge frontend and backend functionality. How to apply for this opportunity: Easy 3 Step Process: 1. Click On Apply and register or log in to our portal 2.Upload updated Resume & complete the Screening Form 3. Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: Executive – AI Engineering Location: Andheri (Mumbai) Industry: Pharmaceutical Experience Required: 4+ years in Gen AI/ML, NLP application development Employment Type: Full-time About the Role: We are looking for a highly skilled Senior AI Engineer – GenAI & Applied ML to independently design, develop, and deploy advanced AI solutions. This is a senior individual contributor role focused on building production-grade Generative AI systems, agentic applications, and intelligent bots using state-of-the-art LLMs, SLMs, and embedding models. You’ll work hands-on across the full AI stack — from fine-tuning models and writing APIs to implementing text-to-SQL and voice-enabled assistants. If you have a strong track record of single-handedly delivering complex AI systems and a deep understanding of modern ML and GenAI trends, we want to hear from you Key Responsibilities: Design, build, and deploy production-ready AI solutions leveraging LLMs, SLMs, embedding models, and advanced ML techniques. Develop intelligent chat agents, voice-enabled bots, and autonomous agentic AI systems tailored to various domains and user contexts. Implement context-aware systems using RAG (Retrieval-Augmented Generation), custom embeddings, and vector databases to optimize relevance and response quality. Fine-tune and customize open-source and proprietary LLMs (e.g., GPT, Claude, LLaMA, Mistral, Phi 4) for domain-specific applications and enhanced performance. Build and expose scalable APIs to serve AI models and integrate them into broader application ecosystems. Own the full AI lifecycle — from architecture and experimentation to deployment and performance tuning. Translate business needs into technical blueprints in collaboration with product owners, data teams, and domain experts. Proactively research and prototype with the latest advancements in GenAI, agent frameworks, and multimodal models to drive innovation. Understanding of evaluation frameworks for GenAI systems, including prompt robustness, hallucination mitigation, and human-in-the-loop feedback loops. Requirements: · 4 + years of hands-on experience in building and deploying AI/ML/NLP applications, including at least 2 years working with LLMs or GenAI systems in production environments. · Proven experience with state-of-the-art LLMs/SLMs , such as GPT-3.5/4, Claude, LLaMA, Mistral, or similar, including prompt engineering, model evaluation, and fine-tuning. · Practical expertise in building RAG pipelines , designing embedding workflows , and using vector databases like FAISS, Pinecone, or Weaviate. · Strong Python programming skills with experience in Hugging Face Transformers , LangChain , LanGraph, OpenAI/Anthropic SDKs , and other GenAI frameworks. · Solid grasp of ML/NLP fundamentals including data preprocessing , model optimization , evaluation metrics , and real-world deployment strategies . · Familiarity with deploying AI models through APIs, cloud platforms, or containerized environments (e.g., Docker, FastAPI, Flask). · Excellent analytical and debugging skills; ability to independently research, prototype, and solve complex problems end-to-end. · Bonus: Exposure to voice AI systems , speech-to-text APIs, or audio-driven interfaces is an advantage. Nice to Have: Familiarity with regulatory and compliance frameworks relevant to AI in life sciences, such as GxP , HIPAA , GDPR , or similar standards. Experience integrating AI models into enterprise platforms , pharma-specific systems , or regulated IT environments . Knowledge of agent frameworks (e.g., AutoGen, CrewAI, LangGraph) and how to operationalize them in real-world use cases. Exposure to speech recognition APIs , voice interface design, or building voice-enabled assistants . Educational Qualifications: Bachelor’s Degree in Engineering (B.E./B.Tech.) or Master’s Degree in Computer Applications (MCA/ M.Tech) . Additional Qualifications in Artificial Intelligence, Machine Learning, or Data Science are highly desirable. Benefits We Offer: Access to a state-of-the-art facility equipped with modern and collaborative workspaces. Free gym facility to promote health and well-being of employees. Dynamic and inclusive work environment focused on innovation and continuous learning. Opportunity to work on impactful projects at the intersection of AI and life sciences. Competitive compensation.

Exp: 4 to 6 Years Location: Chennai( T Nagar) Work mode: 5 Days Work from office Notice period: Immediate or Max 30 Days Only Job Summary: We are seeking a highly skilled and motivated MSSQL Developer with strong Database Administrator (DBA) knowledge to join our dynamic team in Chennai. This role offers a unique opportunity to contribute to the development and maintenance of our critical database systems and applications. The ideal candidate will be proficient in designing, developing, and optimizing SQL Server databases. You will work closely with development teams to ensure efficient and reliable data solutions. Responsibilities: Database Development: Design, develop, and implement database schemas, tables, stored procedures, views, functions, and triggers using T-SQL. Write efficient and optimized SQL queries for data retrieval, manipulation, and reporting. Participate in the full software development lifecycle, from requirements gathering to deployment and maintenance. Develop and maintain ETL (Extract, Transform, Load) processes using tools like SSIS (SQL Server Integration Services). Ensure data integrity, accuracy, and consistency across the database systems. Database Administration: Monitor database performance, identify bottlenecks, and implement performance tuning measures (e.g., indexing, query optimization). Troubleshoot database issues and provide timely resolutions. Develop and maintain database documentation, including data models, schemas, and operational procedures. Collaboration and Communication: Collaborate effectively with application development teams to understand their data requirements and provide optimal database solutions. Communicate technical information clearly and concisely to both technical and non-technical stakeholders. Participate in code reviews and provide constructive feedback. Stay up-to-date with the latest SQL Server features, tools, and best practices. Required Skills and Experience: Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum of 4 to 6 years of hands-on experience as an MSSQL Developer. Proven experience in database design, development, and optimization using T-SQL. Solid understanding of relational database concepts, normalization, and data modeling. Demonstrable experience in SQL Server database administration tasks performance tuning, and security. Experience with ETL processes and tools, preferably SSIS. Familiarity with database monitoring tools and techniques. Understanding of high availability and disaster recovery concepts and implementations. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred Skills: Knowledge of other database technologies (e.g., NoSQL). Experience with scripting languages like PowerShell. Familiarity with agile development methodologies.

Job Description: We are seeking a skilled and hands-on AI Engineer to join our team, with strong expertise in building intelligent systems using OpenAI APIs and foundational LLM techniques. The ideal candidate is well-versed in prompt engineering, RAG implementations, and LLM-integrated workflows, and is comfortable with deploying scalable AI solutions. Key Responsibilities: Design and implement Retrieval-Augmented Generation (RAG) pipelines using Python and OpenAI libraries. Develop, evaluate, and optimize prompting strategies such as zero-shot, one-shot, few-shot, and chain-of-thought prompting . Work with LLM concepts including chunking, retrieval, embeddings, and vector databases (e.g., FAISS, Pinecone). Utilize OpenAI APIs to build and fine-tune intelligent agents. Collaborate on building agentic architectures and dynamic decision-making flows powered by LLMs. Participate in AI/ML solution deployment with awareness of tools like Docker or broader MLOps practices.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As the Assembly and Test Automation Director, your primary responsibility is to lead a team of managers and engineers in implementing automation solutions, which drives manufacturing excellence, viz. quality/ yield, factory footprint & equipment utilization, labor productivity and cycle time improvements. Automation encompasses physical infrastructure like material handling, storage & retrieval, manufacturing execution systems, dispatch & scheduling systems and smart manufacturing programs. You will be responsible for handling and improving functional area performance by collaborating with internal and external partners to build and implement strategies aligned to corporate objectives. Your leadership should encourage both individual capability and high-performance team with clearer goals and development plans. You will monitor performance metrics to identify and implement continual improvement opportunities. Other responsibilities include ensuring organizational compliance to company policies and laws, as well as to departmental procedures for the development of sustainably successful solutions. Responsibilities and Tasks Planning And Implementation Develop an automation roadmap and implement solutions to improve quality, efficiency, productivity, and overall plant performance. Run automation projects from conception to completion, ensuring they meet budget, schedule, and quality requirements. Develop organizational structure and talent to support the infrastructure for sustainable performance. Know-how Expertise Possess extensive knowledge of the Manufacturing Execution System suited for semiconductor industry esp. Packaging Assembly & Test. Experienced in automated material handling viz. AMHS or AGV/ ARV, automated storage solutions viz. ASRS or stockers Exposed to IIOT sensors, systems and framework Experienced with dispatch and scheduling systems for high volume manufacturing environment; advantageous if it is for semiconductor industries Possess a good understanding of industrial automation technologies, including PLCs, HMIs, SCADA systems, robotics, and vision systems. Team Leadership And Management Lead, mentor and strengthen a team of elite automation engineers Continuously build up team’s technical competencies through knowledge sharing and industry benchmarking Manage staff performance, conduct regular performance evaluations, and provide opportunities for professional development. Develop a culture of partnership, communication, and collaboration within the team and with other departments. Run partner relationships, including vendors. Operational Expertise Excellent project management skills - overall site project achievements, technical challenges, lead-times and risk mitigation plans Setup regular meeting with multi-functional team to ensure successful implementation of automation solutions Fix and diagnose automation system failures, ensuring minimal downtime Develop and maintain user documentation. Continuous Improvement Identify areas for continuous improvement in automation processes and systems. Implement and track key performance indicators (important metrics) to measure the effectiveness of automation initiatives. Drive a culture of innovation and experimentation to find new and better ways to automate processes. Safety And Compliance Ensure compliance with all relevant safety laws and industry standards. Develop and implement safety procedures for automation systems and processes. Conduct regular safety inspections and audits. Requirements Engineering graduate preferably in Computer Science, Electrical/ electronics, mechanical field; MBA is preferred. 5+ years of experience of leading manufacturing excellence and automation 5+ years of experience in groundbreaking projects in complex environments Prior experience of setting up a Centre of Excellence for manufacturing automation Consistent track record of inspiring change through influence and leading multi-functional teams through ambiguity Strong influencing and negotiating skills sufficient to shape thinking and decisions while responding to underlying concerns or multiple interests Excellent analytical ability, organizational, problem solving, and leadership skills Additional certifications like Scrum, PMP, and other relevant credentials are a plus Excellent verbal, written, and interpersonal communication skills Proficient in Visio, Word, Excel and PowerPoint; familiarity with Microsoft Project considered an asset About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate. The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture. The Fabric Data & Telemetry team is part of the Fabric Platform. It is responsible for all platform capabilities in support of “observability” – From telemetry creation (APIs, event repositories, etc.), through routing and storage, to eventual consumption tools and data models. This observability is critical for the service and business and supports pillars such as live-site monitoring, diagnostics, analytics for operations and product development, and ensuring Fabric customers have high quality data for their own observability needs. The charter of the team is to provide Fabric stakeholders, partners and clients with world-class data for running the Service and Business. The team and its members work across different codebases, disciplines, platform components and observability pillars. In particular, the team is required to function within the service core, applying classic cloud and software engineering practices and tools, as well as a core-data team, applying (big) data-engineering and analytical practices and tools. As a software Engineer on the team, you will play a key role in shaping the future of our platform. Using the latest Azure technologies, you will design and build scalable telemetry instrumentation services and pipelines and develop tools for metadata management, you will create job monitoring and notification services for data pipelines, and streamline daily operations through automation. We are looking for a Software Engineer who is passionate about observability and data, eager to leverage latest Microsoft Azure technologies to help build scalable, high-performance solutions. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. Responsibilities Lead the design, develop, and maintain high quality APIs, SDKs and data [YA2.1][WR2.2]pipelines, including solutions for data collection, cleansing, transformation, and usage, ensuring accurate data ingestion and readiness for downstream analysis, visualization, and AI model training. You will build frameworks to validate data quality and completeness, detect anomalies, enhance data pipeline resiliency, and support unit and integration testing. You will lead the design and implementation of end-to-end software and data life cycles—including development, CI/CD, service reliability, and agile practices—in close collaboration with Product Management and partner teams. Serve as the SME for key components in the telemetry pipeline, providing technical leadership and advocating for improvements ensuring the accuracy, efficiency, and scalability of data collection and processing. Deliver high quality features and data pipelines by leveraging industry best practice and using cutting edge technologies and Fabric/Azure-Data stack. You will anticipate data governance needs, designing data modeling and handling procedures to ensure compliance with all applicable laws and policies. You will implement and enforce security and access control measures to protect sensitive resources and data. Be part of the on-call rotation for maintaining service health. You will mentor junior engineers, lead technical discussions, and drive best practices in software engineering. Embody our culture and values Qualifications Required/Minimum Qualifications Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+[YA3.1] years' experience in software development, data engineering, or data modeling work. OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years' experience in software development, data engineering, or data modeling work. OR equivalent experience. 4+ years of experience in software engineering, with proven proficiency in C#, [YA4.1]Java, or equivalent. 4+ years of experience working and building distributed cloud services using Azure or similar technology stacks. Experience with scripting languages for data retrieval and manipulation (e.g., SQL or KQL). Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred/Additional Qualifications 1+ years of demonstrated experience implementing data governance practices, including data access, security and privacy controls and monitoring to comply with regulatory standards. Experience with big data technologies such as: Hadoop, Hive, Spark. Equal Opportunity Employer (EOP) #azdat #azuredata #azdat #azuredata #fabricdata #dataintegration #azure #bigdata #telemetry Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Title: Tableau Developer Location: Nagpur, Maharashtra Job Type: Full time Experience Level: 3+yrs Key Responsibilities: Develop, design, and maintain interactive and insightful Tableau dashboards and reports. Connect Tableau to data source and ensure efficient data retrieval via SQL queries. Collaborate closely with business stakeholders, data engineers, and front-end developers to gather requirements and translate them into visual analytics. Integrate Tableau dashboards with web portals using Tableau Extensions and APIs (good to have). Perform data validation and troubleshooting to ensure data accuracy, completeness, and consistency. Optimize Tableau dashboards for performance, responsiveness, and scalability. Support deployment of dashboards to Tableau Server and assist with embedding them into web platforms. Provide documentation and end-user training to ensure effective use of Tableau solutions. Stay up-to-date with Tableau’s latest features and best practices in data visualization. Required Skills and Qualifications: Bachelor’s degree 3+ years of hands-on experience in Tableau development and dashboard design. Strong proficiency in SQL for writing complex queries, preferably in AWS Athena. Solid understanding of data warehousing and data modeling principles. Experience working with cloud-based data platforms, particularly AWS Athena and S3 (good to have). Strong analytical mindset with attention to detail and data integrity. Excellent interpersonal skills; ability to collaborate effectively with cross-functional teams. Experience working in agile environments and participating in project planning discussions. Job Type: Full-time Pay: ₹388,795.43 - ₹1,621,458.44 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Nagpur, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Experience: Tableau: 4 years (Required) Work Location: In person

Job Title : Quality Assurance Automation Engineer Job Type : Full-time, Contractor About Us: Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market. Job Summary: We are seeking a detail-oriented and innovative Quality Assurance Automation Engineer to join our customer's team. In this critical role, you will design, develop, and execute automated tests to ensure the quality, reliability, and integrity of data within Databricks environments. If you are passionate about data quality, thrive in collaborative environments, and excel at both written and verbal communication, we'd love to meet you. Key Responsibilities: Design, develop, and maintain robust automated test scripts using Python, Selenium, and SQL to validate data integrity within Databricks environments. Execute comprehensive data validation and verification activities to ensure accuracy and consistency across multiple systems, data warehouses, and data lakes. Create detailed and effective test plans and test cases based on technical requirements and business specifications. Integrate automated tests with CI/CD pipelines to facilitate seamless and efficient testing and deployment processes. Work collaboratively with data engineers, developers, and other stakeholders to gather data requirements and achieve comprehensive test coverage. Document test cases, results, and identified defects; communicate findings clearly to the team. Conduct performance testing to ensure data processing and retrieval meet established benchmarks. Provide mentorship and guidance to junior team members, promoting best practices in test automation and data validation. Required Skills and Qualifications: Strong proficiency in Python, Selenium, and SQL for developing test automation solutions. Hands-on experience with Databricks, data warehouse, and data lake architectures. Proven expertise in automated testing of data pipelines, preferably with tools such as Apache Airflow, dbt Test, or similar. Proficient in integrating automated tests within CI/CD pipelines on cloud platforms (AWS, Azure preferred). Excellent written and verbal communication skills with the ability to translate technical concepts to diverse audiences. Bachelor’s degree in Computer Science, Information Technology, or a related discipline. Demonstrated problem-solving skills and a collaborative approach to teamwork. Preferred Qualifications: Experience with implementing security and data protection measures in data-driven applications. Ability to integrate user-facing elements with server-side logic for seamless data experiences. Demonstrated passion for continuous improvement in test automation processes, tools, and methodologies.

Job Information Date Opened 06/24/2025 Industry Technology Job Type Full time State/Province Karnataka Zip/Postal Code 560048 City Bangalore Country India About Us At Innover, we endeavor to see our clients become connected, insight-driven businesses. Our integrated Digital Experiences, Data & Insights and Digital Operations studios help clients embrace digital transformation and drive unique outstanding experiences that apply to the entire customer lifecycle. Our connected studios work in tandem to reimagine the convergence of innovation, technology, people, and business agility to deliver impressive returns on investments. We help organizations capitalize on current trends and game-changing technologies molding them into future-ready enterprises. Take a look at how each of our studios represents deep pockets of expertise and delivers on the promise of data-driven, connected enterprises. Job Description We are seeking a Senior Java Developer with expertise in building RESTful APIs using Spring Boot and working with enterprise databases. The ideal candidate will have strong experience with cloud platforms, serverless computing, and data integration. Key Responsibilities Design, develop, and maintain Spring Boot-based RESTful APIs Create and optimize database queries and schemas for PostgreSQL and/or Oracle databases Implement data retrieval and integration solutions with Google BigQuery Deploy and manage applications on cloud platforms (AWS, GCP, Oracle Cloud) Develop and maintain serverless functions using AWS Lambda and Google Cloud Functions Collaborate with cross-functional teams to define, design, and ship new features Participate in code reviews and mentor junior developers Troubleshoot production issues and implement solutions Required Skills & Experience 8+ years of Java development experience Strong proficiency with Spring Boot and RESTful API development Extensive experience with relational databases, particularly PostgreSQL and Oracle Experience retrieving and processing data from Google BigQuery Working knowledge of AWS, GCP, and Oracle Cloud services Experience with serverless computing (AWS Lambda, Google Cloud Functions) Familiarity with containerization technologies (Docker, Kubernetes) Understanding of CI/CD pipelines and DevOps practices Experience with version control systems (Git) Preferred Qualifications Experience with Python programming Knowledge of front-end frameworks, particularly Angular Experience with microservices architecture Knowledge of messaging systems (Kafka, Pub Sub) Experience with Agile development methodologies Cloud certifications (AWS, GCP, or Oracle) Experience with performance tuning and optimization Education Bachelor's degree in Computer Science, Engineering, or related field (or equivalent work experience) Personal Qualities Strong problem-solving abilities Excellent communication and teamwork skills Self-motivated with attention to detail Ability to work in a fast-paced environment Passion for learning new technologies

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 5 years of experience with software development in one or more programming languages, and with data structures/algorithms. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 1 year of experience in a technical leadership role. Experience developing accessible technologies. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products—from apps to TVs, from laptops to phones—that have an impact on people’s lives across the world. Responsibilities Write and test product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Description What You'll Do: As a AI/ML Engineer at Meltwater, you'll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission. We're seeking a proactive, quick-learning engineer who thrives in a collaborative environment. Our culture values continuous learning, team autonomy, and a DevOps mindset. Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations. With a heavy reliance Software Engineer in AI/ML and Data Science. We seek individuals with experience in Cloud infrastructure and containerization, Docker, Azure or AWS is required (Azure is preferred). Data Preparation, Model Lifecycle (training, serving and registries) & Natural language Processing (NLP) and LLMs In this role, you'll have the opportunity to push the boundaries of our technology stack, from modifying open-source libraries to innovating with existing technologies. If you're passionate about distributed systems at scale and finding new ways to extract insights from vast amounts of data, we invite you to join us in this exciting journey. What You'll Bring: Bachelor's or master's degree in computer science or equivalent degree or demonstrable experience. Proven experience as a Software Engineer in AI/ML and Data Science. Minimum of 4-7 years of working experience. Good knowledge of Python and software engineering principles (4+ Years). Good knowledge of cloud infrastructure and containerization (4+ Years). Docker is required. Azure or AWS is required (Azure is preferred). Good working knowledge of TensorFlow / PyTorch (4+ Years). Good working knowledge of ML-Ops Principles (3+ Years). Data Preparation Model Lifecycle (training, serving and registries) Good theoretical knowledge of AI / Data Science in one or more of the following areas: Natural language Processing (NLP) and LLMs. Neural Networks Topic modelling and clustering Time Series Analysis (TSA), including anomaly detection, trend analysis, and forecasting) Retrieval Augmented Generation Speech to Text. Excellent communication and collaboration skills. What We Offer: Enjoy comprehensive paid time off options for enhanced work-life balance. Comprehensive health insurance tailored for you. Employee assistance programs cover mental health, legal, financial, wellness, and behaviour areas to ensure your overall well-being. Energetic work environment with a hybrid work style, providing the balance you need. Benefit from our family leave program, which grows with your tenure at Meltwater. Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. Where You'll Work: HITEC City,Hyderabad. When You'll Join: As per the Offer Letter. Our Story At Meltwater, we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can’t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other’s successes along the way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We’re proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. We love working here, and we think you will too. "Inspired by innovation, powered by people." Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, colour, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world.

Job Description Data Bricks and Python Engineer About Oracle FSGIU - Finergy: Finergy division within Oracle FSGIU exclusively focuses on the Banking, Financial Services, and Insurance (BFSI) sector, offering deep domain knowledge to address complex financial needs. Finergy has Industry expertise in BFSI. ( On Accelerated Implementation ) Finergy has Proven methodologies that fast-track the deployment of multi-channel delivery platforms, minimizing IT intervention and reducing time to market. Due to Personalization tools that tailor customer experiences, Finergy has several loyal customers for over a decade. ( On End-to-End Banking Solutions ) Finergy Provides a single platform for a wide range of banking services—trade, treasury, cash management—enhancing operational efficiency with integrated dashboards and analytics. Finergy offers Expert Consulting Services , Comprehensive consulting support, from strategy development to solution implementation, ensuring the alignment of technology with business goals. Job Responsibilities Software Development: Design, develop, test, and deploy high-performance and scalable data solutions using Python,PySpark, SQL Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications. Implement efficient and maintainable code using best practices and coding standards. Databricks Platform: Work with Databricks platform for big data processing and analytics. Develop and maintain ETL processes using Databricks notebooks. Implement and optimize data pipelines for data transformation and integration. Continuous Learning: Stay updated on the latest industry trends, tools, and technologies related to Python, SQL, and Databricks. Share knowledge with the team and contribute to a culture of continuous improvement. SQL Database Management: Utilize expertise in SQL to design, optimize, and maintain relational databases. Write complex SQL queries for data retrieval, manipulation, and analysis. Mandatory Skills: 4 to 8 Years of experience in Databricks and big data frameworks Advanced proficiency in AWS, including EC2, S3 and container orchestration (Docker, Kubernetes) Proficient in AWS services and data migration Experience in Unity Catalogue Familiarity with Batch and real time processing Data engineering with strong skills in Python, PySpark, SQL Responsibilities Data Bricks and Python Engineer About Oracle FSGIU - Finergy: Finergy division within Oracle FSGIU exclusively focuses on the Banking, Financial Services, and Insurance (BFSI) sector, offering deep domain knowledge to address complex financial needs. Finergy has Industry expertise in BFSI. ( On Accelerated Implementation ) Finergy has Proven methodologies that fast-track the deployment of multi-channel delivery platforms, minimizing IT intervention and reducing time to market. Due to Personalization tools that tailor customer experiences, Finergy has several loyal customers for over a decade. ( On End-to-End Banking Solutions ) Finergy Provides a single platform for a wide range of banking services—trade, treasury, cash management—enhancing operational efficiency with integrated dashboards and analytics. Finergy offers Expert Consulting Services , Comprehensive consulting support, from strategy development to solution implementation, ensuring the alignment of technology with business goals. Qualifications Career Level - IC2 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Title: - Store Executive Gender: - Male Job Location: - Ambernath Education : - Graduate Experience : - 2-5 years Salary Range : - Rs.20,000/- to 22,000/- Weekly Off : - Sunday Office Time : - 9.30 to 6.30 Joining : - Immediate Job Duties & Responsibilities :- Receive, inspect, and record incoming stock and materials. Organize and store items in designated areas for easy retrieval. Maintain Inwards outwards. Maintain accurate inventory records and conduct regular stock checks. Issue materials and products to departments as per requests. Ensure proper labeling and storage to avoid damage or misplacement.

A Purchase & Stores Executive is responsible for managing the procurement of materials and equipment necessary for piping projects, as well as overseeing inventory management and storage of goods. Procurement Planning and Execution: Develop procurement plans based on project requirements, budget constraints, and delivery schedules. Source and select suppliers/vendors for piping materials, equipment, and components. Negotiate terms and conditions, pricing, and delivery schedules with suppliers to ensure cost-effective procurement. Supplier Relationship Management: Build and maintain strong relationships with key suppliers/vendors. Evaluate supplier performance based on factors such as quality, delivery reliability, and responsiveness. Address any issues or concerns with suppliers promptly and effectively. Purchase Order Processing: Generate purchase orders based on approved requisitions and purchase requests. Review and verify purchase orders for accuracy, completeness, and compliance with company policies and procedures. Follow up with suppliers to confirm order receipt, delivery dates, and order status. Inventory Management: Maintain accurate inventory records for piping materials, equipment, and spare parts. Monitor inventory levels and reorder points to prevent stockouts and minimize excess inventory. Conduct periodic inventory audits to reconcile physical stock with system records. Warehousing and Storage: Oversee the receipt, inspection, and acceptance of incoming materials and equipment. Ensure proper storage and handling of piping materials to prevent damage or deterioration. Implement inventory control measures to optimize space utilization and facilitate efficient material retrieval. Logistics and Transportation: Coordinate with logistics providers to arrange transportation and delivery of materials to project sites. Track shipment progress and address any issues or delays in transit. Optimize transportation routes and modes to minimize costs and maximize efficiency. Documentation & Test Certificate: Maintain accurate records of test certificate against purchase orders, delivery receipts, and invoices. Ensure to get sample T.C approval from Client before Purchase. . Cost Control and Budget Management: Monitor procurement expenditures and analyze variances against budgeted amounts. Identify opportunities for cost savings through volume discounts, supplier negotiations, or alternative sourcing strategies. Provide regular reports and updates on procurement costs and budget performance to management. Continuous Improvement: Identify process inefficiencies and bottlenecks in procurement and inventory management. Implement corrective actions and process improvements to streamline operations and enhance productivity. Stay abreast of industry trends, market conditions, and technological advancements to identify opportunities for innovation and optimization. Overall, the Purchase plays a critical role in ensuring the timely procurement of materials and equipment, efficient inventory management, and adherence to budgetary constraints. Top of Form Bottom of Form NON-TECHNICAL SKILLS · Communication Skill · Negotiation Skill · Time Management

Job Summary: The MRD Executive is responsible for the accurate, confidential, and timely handling of all medical records within Ahad Mult speciality Hospital. This includes collecting, organizing, coding, storing, retrieving, and safeguarding patient records in compliance with legal, ethical, and hospital policies, including NABH standards. Key Responsibilities: ✅ Medical Records Management Collect patient files from all departments (OPD, IPD, ICU, OT, etc.). Maintain and organize physical and/or digital records of admissions, treatment, diagnostic reports, and discharge summaries. Ensure all records are complete, updated, and properly indexed. ✅ Coding and Data Entry Assign ICD-10 codes for diagnoses and procedures where applicable. Enter patient data into Hospital Information System (HIS) or other record management software. Maintain statistics on patient demographics, disease profiles, mortality, and morbidity. ✅ Confidentiality & Security Ensure the confidentiality of all patient health information as per medical ethics and hospital policies. Restrict access to authorized personnel only and follow secure handling protocols. ✅ Discharge File Auditing Verify discharge summaries, investigation reports, and consent forms are complete. Ensure compliance with NABH/ISO documentation requirements. Maintain discharge file checklists and audit forms. ✅ File Retrieval & Record Requests Retrieve records promptly upon authorized requests from doctors, departments, or legal authorities. Maintain logs for file movement and requests. ✅ Compliance & Reporting Support in preparing reports for audits, medico-legal cases, and quality departments. Assist in maintaining NABH-compliant MRD documentation systems. Qualifications: Graduate in any stream (preferably B.Sc./BBA/Health Information Management) Diploma or Certification in Medical Records or Health Information Management preferred 1–3 years of experience in hospital MRD or health records management Key Skills: Excellent organizational and filing skills Attention to detail and data accuracy Familiarity with ICD coding, HIS, or EMR systems Basic knowledge of NABH/JCI documentation norms Confidentiality, integrity, and teamwork

We're not your average tech company! Rightcrowd is a global leader in keeping people safe and organizations secure. We build smart solutions that manage who's on-site, what access they have, and ensure everything is compliant. Think big names – Fortune 50 and ASX 10 companies rely on us to tackle their toughest security challenges. We're a passionate, global team with offices in places like Australia, the USA, Belgium, India, and the Philippines, and we're on a mission to make the world a safer place, one clever line of code at a time. What We Offer Competitive salary and benefits. A collaborative, respectful, and high-accountability team culture. Opportunities for growth within a global finance team. Flexibility in a remote-friendly and dynamic work environment. Key Responsibilities Required Qualifications & Skills: Agentic AI Development & Code Generation: Design, implement, and lead the development of an advanced agentic AI system that can interpret user stories and autonomously generate production-ready code Research and implement state-of-the-art techniques in LLM prompting, fine-tuning, and orchestration to achieve optimal code generation results Architect robust evaluation systems to test, validate, and improve AI-generated code Seamlessly integrate AI-generated code into existing CI/CD pipelines Collaborate with product and engineering teams to refine inputs and ensure alignment with development standards AI Recommendation Engine Architecture: Architect a high-performance, scalable recommendation engine for the RightCrowd SmartAccess platform Design and implement AI-driven feature extraction pipelines Develop hybrid recommendation algorithms leveraging both collaborative filtering and content- based approaches Engineer systems for real-time inference and continuous model improvement Ensure the architecture integrates seamlessly with existing product infrastructure Natural Language Reporting System Development: Lead the end-to-end development of an AI-powered reporting system that translates natural language queries to SQL Engineer robust NLP components to accurately understand and parse user requests Build a reliable translation layer between natural language and database queries Implement data retrieval, processing, and presentation mechanisms Design systems for generating insights and visualizations from retrieved data Ensure appropriate data security and access controls Technical Leadership & Innovation: Provide architectural guidance across AI initiatives within the organization Design scalable, maintainable AI systems with consideration for cloud infrastructure and MLOps best practices Stay at the forefront of advancements in LLMs, agentic AI, and code generation technologies Mentor junior engineers and foster a culture of AI innovation Collaborate effectively with cross-functional teams Master's or Ph.D. in Computer Science, AI, or related field (or equivalent practical experience) 5+ years of experience building production-level AI systems with significant focus on LLMs and generative AI Demonstrated expertise in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face Transformers) Extensive experience with LLM orchestration frameworks (LangChain, LangGraph, or similar) Proven track record designing and implementing agentic AI systems Strong proficiency in prompt engineering, fine-tuning, and optimization of LLMs Expert-level SQL skills and experience with database systems Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services Solid understanding of software engineering principles and best practices Experience with MLOps and CI/CD pipelines for AI systems Preferred Qualifications: Experience developing systems that generate production-ready code Familiarity with retrieval-augmented generation (RAG) techniques Experience with vector databases (Pinecone, Weaviate, etc.) Knowledge of containerization technologies (Docker, Kubernetes) Experience with model optimization, quantization, and efficient inference Contributions to open-source AI projects or research publications Familiarity with physical security or identity access management domains Experience implementing AI systems with strong security and governance controls This position offers the opportunity to work at the forefront of AI engineering, developing systems that not only generate code but also function autonomously to deliver real business R&D Ghaziabad, India

About us Confluencr is redefining influencer marketing for India With 100+ team members and campaigns across 15+ countries, we’ve helped over 700 brands—from skincare giants and electric vehicles to edtech disruptors and real estate leaders - build influence that drives action. We blend cutting-edge tech with a marketer’s mindset. Our in-house systems help us shortlist the right creators, track performance at scale, and optimise campaigns in real time—but it’s our strategic thinking and storytelling that make the impact unforgettable. From helping a D2C brand 10x its sales to turning B2B products into viral content - we're not just executing briefs. We’re pushing boundaries, every single day. If you're looking to work where creativity meets precision, and where influence is built—not bought—welcome to Confluencr. Confluencr is a part of Walnut Folks Group. Requirements 1. Edit and create compelling video content for our Instagram and YouTube channels, adhering to brand guidelines and ensuring high-quality output 2. Review raw footage and select the best shots to create visually appealing and engaging videos 3. Utilize software tools such as Final Cut Pro, Inshots, and other editing software to edit videos, add special effects, transitions, and soundtracks as necessary 4. Collaborate with the content creation team to understand project requirements and deliver videos that align with the overall vision and goals 5. Ensure videos are optimized for Instagram and YouTube, meeting the platform's specific formatting, duration, and quality guidelines 6. Manage and organize video assets, ensuring they are properly labeled and stored for easy retrieval 7. Stay up to date with emerging video editing trends, techniques, and software to continuously improve the quality and impact of our videos 8. Collaborate with the marketing team to develop creative concepts for video campaigns and assist in brainstorming new content ideas Note: Please include a link to your portfolio or samples of your work when applying for this position. Benefits Why you should join us? ● In case you value the opportunity to work on real & challenging Marketing problems ● In case you value high involvement from founders and learning from them ● In case you value having the autonomy to do things your way and not have to worry about experimental failures ● In case you care about working alongside genuine, honest peers who will have your back, no matter what ● In case you value contributing to the organization beyond your call of duty; and getting handsomely remunerated for the extra effort ● In case you believe in always learning and want an environment which will invest into your learning for the long term ● In case you want to work on the cutting edge of marketing problems and use the most cutting tools and strategies ● In case you are looking for a place for the long term where you can keep growing with the company (our first few hires from 5-6 years back, are still with the company) Why you shouldn't join us? ● In case you are looking for a product company, of course we aren't one ● In case you are looking for a very very structured corporate environment where everyone is extremely clear on their role and ONLY has to do that. We thrive as a bootstrapped company and hence like to be nimble about changes and whatever is needed to be done to get ahead ● In case you are looking for the top bracket pay in the industry - we are not the one for you. You may find hyper funded startups who can do that for you. Working Days: Monday to Friday (Onsite) + Saturday Half Day (WFH) Location: HSR Layout, Bangalore.

Job Description 💰 Compensation Note: The budget for this role is fixed at INR 50–55 lakhs per annum (non-negotiable). Please ensure this aligns with your expectations before applying. 📍 Work Setup: This is a hybrid role , requiring 3 days per week onsite at the office in Hyderabad, India . 📝 Interview Process: The process consists of 6 stages , including a technical assessment, code review, code discussion , and panel interviews . Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. Job Description : We are looking for an AI Engineer with experience in Speech-to-text and Text Generation to solve a Conversational AI challenge for our client based in EMEA. The focus of this project is to transcribe conversations and leverage generative AI-powered text analytics to drive better engagement strategies and decision-making. The ideal candidate will have deep expertise in Speech-to-Text (STT), Natural Language Processing (NLP), Large Language Models (LLMs), and Conversational AI systems. This role involves working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools. Key Responsibilities: Conversational AI & Call Transcription Development Develop and fine-tune automatic speech recognition (ASR) models Implement language model fine-tuning for industry-specific language. Develop speaker diarization techniques to distinguish speakers in multi-speaker conversations. NLP & Generative AI Applications Build summarization models to extract key insights from conversations. Implement Named Entity Recognition (NER) to identify key topics. Apply LLMs for conversation analytics and context-aware recommendations. Design custom RAG (Retrieval-Augmented Generation) pipelines to enrich call summaries with external knowledge. Sentiment Analysis & Decision Support Develop sentiment and intent classification models. Create predictive models that suggest next-best actions based on call content, engagement levels, and historical data. AI Deployment & Scalability Deploy AI models using tools like AWS, GCP, Azure AI, ensuring scalability and real-time processing. Optimize inference pipelines using ONNX, TensorRT, or Triton for cost-effective model serving. Implement MLOps workflows to continuously improve model performance with new call data. Qualifications: Technical Skills Strong experience in Speech-to-Text (ASR), NLP, and Conversational AI. Hands-on expertise with tools like Whisper, DeepSpeech, Kaldi, AWS Transcribe, Google Speech-to-Text. Proficiency in Python, PyTorch, TensorFlow, Hugging Face Transformers. Experience with LLM fine-tuning, RAG-based architectures, and LangChain. Hands-on experience with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for knowledge retrieval. Experience deploying AI models using Docker, Kubernetes, FastAPI, Flask. Soft Skills Ability to translate AI insights into business impact. Strong problem-solving skills and ability to work in a fast-paced AI-first environment. Excellent communication skills to collaborate with cross-functional teams, including data scientists, engineers, and client stakeholders. Preferred Qualifications Experience in healthcare, pharma, or life sciences NLP use cases. Background in knowledge graphs, prompt engineering, and multimodal AI. Experience with Reinforcement Learning (RLHF) for improving conversation models.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position Search specialist - Job profile The Search Specialist within the Enterprise Search Platform Team is responsible for maintaining and optimising the platform, powered by Sinequa technology. This role focuses on platform lifecycle and data source indexing to ensure the platform operates efficiently and effectively, and properly supports the use cases. This role requires close collaboration with the Product Owner and Solution Architect to translate business requirements into technical solutions to drive excellence in our search capabilities. Key Responsibilities: Search Implementation: Develop and integrate advanced search functionalities, including indexing, query processing, and relevancy tuning Work on the design, implementation, and optimization of Sinequa search solutions Configure, customize, and maintain Sinequa's search platform to meet organizational requirements Implement data ingestion procedures leveraging Sinequa connectors and APIs Development of Search-Based Applications: Design, develop, and deploy search-based applications that leverage the Sinequa platform Integrate search functionalities into existing and new applications to enhance user experience and information retrieval Collaborate with UI/UX designers to create engaging and efficient search interfaces Implement security best practices to protect sensitive data within search-based applications Test, debug, and document search-based applications to ensure high-quality deliverables Optimization and Performance: Monitor and optimize search performance, ensuring low latency and high accuracy of search results Troubleshoot and resolve issues related to search indexing, relevance, and data retrieval Conduct regular performance analyses and make necessary adjustments to enhance search efficiency Collaboration and Communication: Work closely with Product Owners, Solution Architects, and development teams to translate business needs into technical solutions Collaborate with data and content experts to ensure data quality and search index integrity Provide clear and effective communication on search-related topics to both technical and non-technical stakeholders User Experience Enhancement: Design and implement user-friendly search interfaces and experiences Gather and analyze user feedback to continually improve search functionalities Ensure the search platform provides intuitive and relevant results to end-users Data Management: Oversee data taxonomy, metadata, and tagging processes to ensure consistency and accuracy in search results Implement best practices for data governance and quality management in the context of search Innovation and Continuous Improvement: Keep up-to-date with the latest trends and best practices in search technologies and apply this knowledge to improve the Sinequa platform Identify opportunities for leveraging new features and functionalities within the Sinequa platform to enhance organizational search capabilities Qualifications: Solid understanding of search algorithms, information retrieval, and relevancy tuning Programming/scripting skills. Familiarity with Java, Angular, Python, .NET or similar Experience with the Sinequa platform OR similar search solutions (Elasticsearch, Solr, etc.) Strong analytical and problem-solving skills Experience with data integration tools and techniques Excellent communication and collaboration skills, with the ability to work effectively in a team environment Background in natural language processing (NLP) or machine learning as applied to search is a plus Familiarity with cloud platforms and services, particularly AWS is a plus Knowledge of data governance and data quality best practices is a plus Who we are A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.

Profile: AI/ML Engineer Location: Pune Experience: 3+Years Position Overview: This is a full-time on-site role in Pune for a Machine Learning Engineer at Timebook. We are seeking a skilled AI/ML Engineer to join our team and help drive innovation in our machine learning solutions. In this role, you will design, develop, and implement AI/ML models while collaborating with cross-functional teams to deliver impactful solutions. Key Responsibilities Develop, and implement machine learning algorithms and deep learning models. Process, clean, and verify the integrity of data used for analysis. Train and optimize models using appropriate datasets and techniques. Implement ML algorithms and tools as per solution design to meet requirements. Develop machine learning applications according to requirements. Run machine learning algorithms on datasets. Perform fine-tuning using test results. Extend existing ML libraries and frameworks to meet our needs. Fine-tune and customize pre-trained models to meet specific business requirements. Develop AI solutions using generative AI models. Required Qualifications Bachelor & degree in Computer Science, Data Science, or related field. 3+ years of experience in machine learning, AI engineering, or related role. Strong programming skills in Python, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience with data science toolkits like NumPy, Pandas, and Jupyter. Understanding of data structures, data modeling, and software architecture. Excellent problem-solving and communication skills. Knowledge of fine-tuning methodologies for pre-trained models. Preferred Skills Experience with NLP, computer vision, or reinforcement learning. Understanding of MLOps practices and tools. Experience with parameter-efficient fine-tuning techniques (LoRA, PEFT, etc.) Familiarity with prompt engineering and context optimisation. Experience implementing RAG (Retrieval-Augmented Generation) systems. Experience with generative AI models such as large language models, diffusion models, or GANs. Knowledge in cloud platforms (GCP, or Azure) and their ML services. Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,500,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Monday to Friday Application Question(s): What is your Notice period? What's your current ctc? Experience: AI/ML Engineer: 3 years (Required) TensorFlow, PyTorch, or Scikit-learn: 3 years (Required) NumPy, Pandas, and Jupyter: 3 years (Required) NLP, computer vision, or reinforcement learning: 3 years (Required) MLOps practices: 3 years (Required) Retrieval-Augmented Generation: 3 years (Required) generative AI models: 3 years (Required) Location: Pune, Maharashtra (Required) Work Location: In person

Project Description: Our client is an EU subsidiary of a Global Financial Bank working in multiple markets and asset classes. The Bank's Data Store has been transformed to a Data warehouse (DWH) which is the central source for Regulatory Reporting. It is also intended to be the core data integration platform which not only provide date for regulatory reporting but also provide data for Risk Modelling, Portfolio Analysis, Ad Hoc Analysis & Reporting (Finance, Risk, other), MI Reporting, Data Quality Management, etc. Due to high demand of regulatory requirements, a lot of regulatory projects are in progress to reflect regulatory requirements on existing regulatory reports and to develop new regulatory reports on MDS. Examples are IFRS9, AnaCredit, IRBB, the new Deposit Guarantee Directive (DGSD), Bank Data Retrieval Portal (BDRP) and the Fundamental Review of the Trading Book (FRTB). DWH / ETL Tester will work closely with the Development Team to design, build interfaces and integrate data from a variety from internal and external data sources into the new Enterprise Data Warehouse environment. The ETL Tester will be primarily responsible for testing Enterprise Data Warehouse using Automation within industry recognized ETL standards, architecture, and best practices. Responsibilities: Testing the Bank's data warehouse system changes, testing the changes (user stories), support IT integration testing in TST and support business stakeholders with User Acceptance Testing. It is hands-on position: you will be required to write and execute test cases, build test automation where it is applicable. Overall Purpose of Job - Test the MDS data warehouse system - Validate regulatory reports - Supporting IT and Business stakeholders during UAT phase - Contribute to improvement of testing and development processes - Work as part of a cross-functional team and take ownership of tasks - Contribute in Testing Deliverables. - Ensure the implementation of test standards and best practices for the agile model & contributes to their development. - Engage with internal stakeholders in various areas of the organization to seek alignment and collaboration. - Deals with external stakeholders / Vendors. - Identify risks / issues and present associated mitigating actions taking into account the critically of the domain of the underlying business. - Contribute to continuous improvement of testing standard processes. Additional responsibilities include work closely with the systems analysts and the application developers, utilize functional design documentation and technical specifications to facilitate the creation and execution of manual and automated test scripts, perform data analysis and creation of test data, track and help resolve defects and ensure that all testing is conducted and documented in adherence with the bank's standard. Mandatory Skills Description: Must have experience/expertise : Tester, Test Automation, Data Warehouse, Banking Technical: - At least 5 years of testing experience of which at least 2 years in the finance industry with good level knowledge on Data Warehouse, RDBMS concepts. - Strong SQL scripting knowledge and hands-on experience and experience with ETL & Databases. - Expertise on new age cloud based Data Warehouse solutions - ADF, SnowFlake, GCP etc. - Hands-On expertise in writing complex SQL using multiple JOINS and highly complex functions to test various transformations and ETL requirements. - Knowledge and Experience on creating Test Automation for Database and ETL Testing Regression Suite. - Automation using Selenium with Python (or Java Script), Python Scripts, Shell Script. - Knowledge of framework designing, REST API Testing of databases using Python. - Experience using Atlassian tool set, Azure DevOps and code & Version Management - GIT, Bitbucket, Azure Repos etc. - Help and provide inputs for the creation of Test Plan to address the needs of Cloud Based ETL Pipelines. Non-Technical: - Able to work in an agile environment - Experience in working in high priority projects (high pressure on delivery) - Some flexibility outside 9-5 working hours (Netherlands Time zone) - Able to work in demanding environment and have pragmatic approach with "can do" attitude. - Able to work independently and also to collaborate across the organization - Highly developed problem-solving skills with minimal supervision - Able to easily adapt to new circumstances / technologies / procedures. - Stress resistant and constructive - whatever the context. - Able to align with existing standards and acting with attention to detail.

Job Description Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company and a leader in the convenience store and fuel space with over 16,700 stores. It has footprints across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team, and the Associate ML Ops Analyst will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. About The Role The incumbent will be responsible for implementing Azure data services to deliver scalable and sustainable solutions, build model deployment and monitor pipelines to meet business needs. Roles & Responsibilities Development and Integration Collaborate with data scientists to deploy ML models into production environments Implement and maintain CI/CD pipelines for machine learning workflows Use version control tools (e.g., Git) and ML lifecycle management tools (e.g., MLflow) for model tracking, versioning, and management. Design, build as well as optimize applications containerization and orchestration with Docker and Kubernetes and cloud platforms like AWS or Azure Automation & Monitoring Automating pipelines using understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream Sets and Apache Airflow Implement model monitoring and alerting systems to track model performance, accuracy, and data drift in production environments. Collaboration and Communication Work closely with data scientists to ensure that models are production-ready Collaborate with Data Engineering and Tech teams to ensure infrastructure is optimized for scaling ML applications. Optimization and Scaling Optimize ML pipelines for performance and cost-effectiveness Operational Excellence Help the Data teams leverage best practices to implement Enterprise level solutions. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project Helping to define common coding standards and model monitoring performance best practices Continuously evaluate the latest packages and frameworks in the ML ecosystem Build automated model deployment data engineering pipelines from plain Python/PySpark mode Stakeholder Engagement Collaborate with Data Scientists, Data Engineers, cloud platform and application engineers to create and implement cloud policies and governance for ML model life cycle. Job Requirements Education & Relevant Experience Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.) Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) 1-2 years of relevant working experience in MLOps Behavioural Skills Delivery Excellence Business disposition Social intelligence Innovation and agility Knowledge Knowledge of core computer science concepts such as common data structures and algorithms, OOPs Programming languages (R, Python, PySpark, etc.) Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.) Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools Exposure to ETL tools and version controlling Experience in building and maintaining CI/CD pipelines for ML models. Understanding of machine-learning, information retrieval or recommendation systems Familiarity with DevOps tools (Docker, Kubernetes, Jenkins, GitLab).