3958 Retrieval Jobs - Page 40

Job Title: GenAI Engineer Category: Software Development Required Experience: 3-4 years Location: Pune Job Description: As the Data Scientist, you will play a pivotal role in driving data-driven decision-making and advancing our organization's AI and analytical capabilities. You will lead a team of data scientists, collaborate with cross-functional teams, and contribute to the development and implementation of AI and advanced analytics solutions. This position requires a strong combination of technical expertise, leadership skills, and business acumen. Responsibilities: Team Leadership: ● Lead, mentor, and inspire a team of junior data scientists, fostering a collaborative and innovative work environment. ● Provide technical guidance, set priorities, and ensure the team's alignment with organizational goals. ● Conduct regular performance assessments and contribute to professional development plans. Strategy and Planning: ● Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to achieve strategic goals. ● Develop and execute a data science roadmap, ensuring alignment with overall business and technology strategies. ● Stay abreast of industry trends, emerging technologies, and best practices in data science. Advanced Analytics: ● Design, develop, and implement advanced machine learning models and algorithms to extract insights and solve complex business problems. ● Drive the exploration and application of new data sources, tools, and techniques to enhance analytical capabilities. ● Collaborate with data engineers to ensure the scalability and efficiency of deployed models. Cross-functional Collaboration: ● Collaborate with cross-functional teams, including business analysts, software engineers, and domain experts, to integrate data science solutions into business processes. ● Communicate complex analytical findings to non-technical stakeholders in a clear and actionable manner. Data Governance and Quality: ● Establish and enforce data governance standards to ensure the accuracy, reliability, and security of data used for analysis. ● Work with data engineering teams to enhance data quality and integrity throughout the data lifecycle. Project Management: ● Oversee the end-to-end execution of data science projects, ensuring timelines, budgets, and deliverables are met. ● Provide regular project updates to stakeholders and manage expectations effectively. Technical Expertise: ● Provide technical guidance and execution for the latest GenAI technologies, including but not limited to LLM/SLM/VLM and Multi-modal AI Algorithms. Leverage Transformers for complex natural language processing-based tasks. ● Hands-on experience in RAG (Retrieval-Augmented Generation) pipelines using Pinecone or similar vector databases to enhance LLM performance. ● Experience building RESTful APIs and ML endpoints using FastAPI , integrating seamlessly with production systems. ● Apply LangChain and agentic frameworks to integrate LLMs with tools, memory, and reasoning chains. ● Proficiency in designing LLM-driven workflows , including prompt engineering , chain-of-thought reasoning, and OpenAI API call optimization to reduce latency and cost. ● Develop scalable event-driven architectures using AWS EventBridge , RDS , and other AWS services (e.g., S3, Glue, SageMaker). ● Develop and optimize embedding generation , storage, and retrieval processes using tools like OpenAI Embeddings, LangChain , and Pinecone. ● Lead the development of deep learning technologies like computer vision for image processing, OCR/IDP, object detection and tracking, segmentation, Image generation, Convolutional Neural Networks, Capsule Networks, etc. ● Development of core Machine Learning algorithms like time series analysis with Neural ODEs; Variational Autoencoders for Image Generation and anomaly detection; ● Provide oversight for core deep learning algorithms like Neural Architecture Search for optimization and Graph Neural Networks for molecular structures. Qualifications: ● Minimum 1+ years of experience leading a team of junior data scientists, with a proven track record of successful project implementations. ● Master's or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, etc.) ● Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. ● Experience in MLOps, Scientific Machine Learning, Statistical Modeling, and Data Visualization. ● Proficiency in cloud platforms , particularly AWS (SageMaker, S3, RDS, EventBridge, Glue, Redshift). ● Must have experience with the development and implementation of various core Machine Learning algorithms mentioned above. ● Bonus: Prior experience in LLM observability, latency tuning, token usage monitoring, and fine-grained control of OpenAI or similar API integrations. ● Must have hands-on experience with Deep Learning technologies for computer vision and image processing as well as core neural network applications like optimization. ● Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. ● Experience in the development and implementation of scalable and efficient data pipelines using AWS services such as SageMaker, S3, Glue, and/or Redshift. ● Excellent leadership, communication, and interpersonal skills. ● Experience with big data technologies and cloud platforms is a plus. 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What You’ll Do Sales and Use Tax Analyst role within the Indirect Tax Center of Excellence, Pune will focus on critical areas such as: US Sales and Use Tax Audit Activities Tax Research Account Reconciliations MIS to tax leadership This is an professional (IC) role. Perform thorough analysis of the Returns and its workings with accuracy. Data retrieval and Reconciliations of the returns with respective ERP ( Oracle, SAP ) & Vertex. Audit Defense including communication with external Auditors. Communications with Business stakeholders for documentation and evidences. Creation of SOP for any new takeovers and support in formalizing the process. Keep updated with the law, rules changes for each state relevant to Eaton. Tax applicability analysis and review for all the Mark View Invoices (Non-PO invoices) Monthly updates and review of the Tax Applicability through Checkpoint ( Services & its tax treatments ) Contribute towards initiatives taken for automation within Compliance process. Meet the targets as per the KPI for Sales and Use tax. Research and respond to sales & use tax questions with prompt and accurate replies Perform activities related to Other Projects" Qualifications Post Graduation in Accounting/ MBA from recognized University 2+ years of experience in the area of US Sales and Use Tax. Skills Working knowledge Oracle or SAP. Working knowledge of Vertex Returns or similar compliance software. Good accounting concepts Good verbal and written communication skills. Self-starter. Ability to manage multiple priorities and responsibilities yet still meet time-sensitive deadlines. Attention to detail. Work independently and within a team setting. Ability to deliver quality output under limited supervision.Strong analytical skills, quick learning in ERP like SAP and Oracle for data retrieval. ]]> Show more Show less

Experience: 7+ Years Location: Noida-Sector 64 Key Responsibilities: Data Architecture Design: Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams. Develop a data strategy and roadmap that aligns with the business objectives and ensures the scalability of data systems. Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency. Data Integration & Management: Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools. Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets. Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.). Collaboration with Stakeholders: Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs. Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Technology Leadership: Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools. Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization. Data Quality & Security: Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems. Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity. Mentorship & Leadership: Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy. Required Skills & Experience: Extensive Data Architecture Expertise: Over 7 years of experience in data architecture, data modeling, and database management. Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines. Advanced Knowledge of Data Platforms: Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus. Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing. Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker). Data Governance & Compliance: Strong understanding of data governance principles, data lineage, and data stewardship. Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards. Technical Leadership: Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise. Strong programming skills in languages such as Python, SQL, R, or Scala. Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory. Pre-Sales Responsibilities: Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives. Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained. Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions. Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process. Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. Additional Responsibilities: Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions. Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions. Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow. Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise. Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability. Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications. Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment. Qualifications: Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in data architecture, with a focus on developing scalable and high-performance solutions. Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies. Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions. Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills. Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA Cloud AI/GenAI Engineer(ServiceNow) We are seeking a talented AI/GenAI Engineer to join our team in delivering cutting-edge AI solutions to clients. The successful candidate will be responsible for implementing, developing, and deploying AI/GenAI models and solutions on cloud platforms. This role requires knowledge of ServiceNow modules like CSM and virtual agent development. Candidate should have strong technical aptitude, problem-solving skills, and the ability to work effectively with clients and internal teams. What You'll Be Doing Key Responsibilities: Cloud AI Implementation: Implement and deploy AI/GenAI models and solutions using various cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI) and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum). Build Virtual Agent in SN – Design, develop and deploy virtual agents using SN agent builder Integrate SN – Design and develop seamless integration of SN with other external AI systems Agentic AI: Assist in developing agentic AI systems on cloud platforms, enabling autonomous decision-making and action-taking capabilities in AI solutions. Cloud-Based Vector Databases: Implement cloud-native vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud-managed services for efficient similarity search and retrieval in AI applications. Model Evaluation and Fine-tuning: Evaluate and optimize cloud-deployed generative models using metrics like perplexity, BLEU score, and ROUGE score, and fine-tune models using techniques like prompt engineering, instruction tuning, and transfer learning. Security for Cloud LLMs: Apply security practices for cloud-based LLMs, including data encryption, IAM policies, and network security configurations. Client Support: Support client engagements by implementing AI requirements and contributing to solution delivery. Cloud Solution Implementation: Build scalable and efficient cloud-based AI/GenAI solutions according to architectural guidelines. Cloud Model Development: Develop and fine-tune AI/GenAI models using cloud services for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation: Conduct testing and validation of cloud-deployed AI/GenAI models, including performance evaluation and bias detection. Deployment and Maintenance: Deploy AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Cloud Deployment: Deploy AI/GenAI models in cloud production environments and integrate with existing systems. Requirements: Education: Bachelor/Master's in Computer Science, AI, ML, or related fields. Experience: 3-5 years of experience in engineering solutions, with a track record of delivering Cloud AI solutions. . Should have at least 2 years’ experience of SN and SN agent builder Technical Skills: Proficiency in cloud AI/GenAI services and technologies across major cloud providers (AWS, Azure, GCP) Experience with cloud-native vector databases and managed similarity search services Experience with SN modules like CSM and virtual agent builder Experience with security measures for cloud-based LLMs, including data encryption, access controls, and compliance requirements Programming Skills: Strong programming skills in languages like Python or R Cloud Platform Knowledge: Strong understanding of cloud platforms, their AI services, and best practices for deploying ML models in the cloud Communication: Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving: Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have: Experience with serverless architectures for AI workloads Nice to have: Experience with ReactJS for rapid prototyping of cloud AI solution frontends Location: Delhi or Bangalore (with remote work options) Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Location: Mumbai (In-Office) Experience: 6+ years in software engineering, including use of AI-assisted development tools Type: Full-time About Wright Research Wright Research is a tech-first wealth creation firm using scientific, data-driven methods to generate alpha in public markets. We deliver differentiated portfolios through PMS and digital advisory, blending quantitative finance with modern software engineering and AI-driven innovation. Role Overview We are looking for an Engineering Manager who is not only an expert developer but also embraces the next frontier of software engineering—AI-assisted coding . You’ll lead the development of our fintech and investment platforms while leveraging the latest AI tools to supercharge productivity, accelerate development, and improve code quality. This role is hands-on and ideal for someone who thrives at the intersection of engineering excellence and AI-augmented development workflows . Key Responsibilities Full-Stack Engineering: Develop and maintain scalable backend systems (Python/Django) and frontend interfaces (React/React Native) Work on APIs, dashboards, and data apps that power investment research and user engagement Improve code performance, test coverage, and security using automated tools and AI code audits Engineering Workflow Ownership: Define and enforce clean coding practices using AI-based linting, review bots, and test automation Manage code reviews and mentor team members on using AI tools effectively Implement CI/CD pipelines that integrate AI-driven testing and code quality analysis Collaboration & Productization: Work closely with quant and product teams to convert research into robust, user-facing tools Rapidly prototype internal research and analytics tools using AI-aided development Own the delivery of new product features and enhancements across the investment lifecycle AI-Augmented Development: Use GitHub Copilot, GPT-based tools, and AI-assisted workflows for faster prototyping, code generation, documentation, and testing Set up prompt-driven internal dev tools to accelerate feature development and debugging Champion the integration of AI tools into the full SDLC—from planning to deployment Qualifications 6+ years of experience in backend/frontend development with significant exposure to Python, Django, JavaScript, React Proven ability to ship products quickly and iteratively—bonus if you’ve used Copilot, GPT, or other AI-assisted tools regularly Experience with cloud platforms, microservices, and Postgres/Redis Strong understanding of how to integrate AI agents into the development workflow (e.g., prompt engineering, retrieval-augmented coding, AI code assistants) Comfortable working in a fast-moving environment with high autonomy and experimentation Bonus Points For Prior experience setting up AI coding agents or prompt pipelines for engineering Familiarity with tools like Copilot Labs, Codium AI, GPT for API testing, or LangChain/LLM agents for development Contributions to open source or devtool projects that use or build on AI What We Offer Competitive compensation and equity options Direct ownership of critical systems that power high-impact investment outcomes Culture of AI-native engineering —we build fast and smart Work alongside a visionary team of researchers, engineers, and product thinkers Opportunities to shape the future of AI-driven fintech How to Apply Apply here or send your resume and GitHub/portfolio to hr@wrightresearch.in with the subject: “Engineering Manager – Wright Research” Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA Seeking a talented Solution Architect/BDM for On-Prem/Private AI. Requires deep open source LLM expertise to translate client needs into technical solutions. Responsibilities include assessing needs, recommending LLM tech, sizing opportunities and infrastructure, and collaborating on end-to-end solutions with costing. Needs strategic thinking, strong technical and business skills to drive innovation and client value. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in LLMs such as Phi-4, Mistral, Gemma, Llama and other foundation models Assess client business requirements and translate them into detailed technical specifications Recommend appropriate LLM solutions based on specific business outcomes and use cases Experience in sizing and architecting infrastructure for AI/ML workloads, particularly GPU-based systems. Design scalable and secure On-Prem/Private AI architectures Create technical POCs and prototypes to demonstrate solution capabilities Hands-on experience with vector databases (open-source or proprietary), such as Weaviate, Milvus, or Vald etc. Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the On-Prem/Private AI space Develop compelling proposals and solution presentations for clients Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Design, develop, and deploy AI-powered applications leveraging agentic AI frameworks such as LangChain, AutoGen, and CrewAI. Utilize the modular components of these frameworks (LLMs, Prompt Templates, Agents, Memory, Retrieval, Tools) to build sophisticated language model systems and multi-agent workflows. Implement Retrieval Augmented Generation (RAG) pipelines and other advanced techniques using these frameworks to enhance LLM responses with external data. Contribute to the development of reusable components and best practices for agentic AI implementations. Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with models such as Phi-4, Mistral, Gemma, and other foundation models Strong understanding of GPU infrastructure sizing and optimization for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with Private AI deployment and fine-tuning LLMs for specific use cases Knowledge of RAG (Retrieval Augmented Generation) and enterprise knowledge systems Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Experience with major AI providers: OpenAI/Azure OpenAI, AWS, Google, Anthropic, etc. Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Req ID: 328445 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Business Intelligence Senior Analyst to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Job Description Role Description : As a Cognos Developer, you will be a key contributor to our business intelligence initiatives. You will be responsible for building, testing, and deploying Cognos reports, managing Framework Manager packages, and ensuring the accuracy and reliability of our data visualizations. Your ability to collaborate with cross-functional teams and your expertise in Cognos Analytics will be essential for success in this role. Responsibilities : Design, develop, and deploy Cognos reports and dashboards using Cognos Analytics 11/12. Build and maintain Cognos reports using Framework Manager and Report Studio. Develop reports with Drill Through, List, Crosstab, and Prompt pages, Page grouping & sections. Build, manage, and maintain Framework Manager packages. Ensure data integrity and consistency within Cognos packages. Optimize Framework Manager performance. Understand and apply data warehousing concepts. Possess basic knowledge of Extract, Transform, Load (ETL) processes. Write and optimize SQL queries for data retrieval and manipulation. Perform data analysis and validation using SQL. Build, test, and deploy Cognos reports and dashboards. Ensure reports meet business requirements and quality standards. Analyze business requirements and translate them into technical specifications. Collaborate with stakeholders to understand reporting needs. Create and maintain technical documentation for Cognos reports and packages. Provide support to end-users on Cognos reporting. Collaborate with cross-functional teams to deliver business intelligence solutions. Communicate effectively with team members and stakeholders. Technical Skills : Cognos Analytics , Oracle , Teradata Experience in Cognos Analytics 11/12 (Data Modules, Framework Manager Packages, Report Studio, Visualization Gallery, Cognos Dashboard). Good knowledge in Cognos packages using Framework Manager. Design and develop reports using Report Studio. Good SQL skills for data retrieval and manipulation. Experience in data warehousing and business intelligence. Basic knowledge of Extract, Transform, Load (ETL) processes.E15- Design, develop, and deploy Cognos reports and dashboards using Cognos Analytics 11/12. Build and maintain Cognos reports using Framework Manager and Report Studio. Develop reports with Drill Through, List, Crosstab, and Prompt pages, Page grouping & sections. Utilize Cognos Data Modules and Visualization Gallery to create interactive and insightful visualizations. Build, manage, and maintain Framework Manager packages. Ensure data integrity and consistency within Cognos packages. Optimize Framework Manager performance. Understand and apply data warehousing concepts. Possess basic knowledge of Extract, Transform, Load (ETL) processes. Write and optimize SQL queries for data retrieval and manipulation. Perform data analysis and validation using SQL. Build, test, and deploy Cognos reports and dashboards. Ensure reports meet business requirements and quality standards. Analyze business requirements and translate them into technical specifications. Collaborate with stakeholders to understand reporting needs. Create and maintain technical documentation for Cognos reports and packages. Provide support to end-users on Cognos reporting. Collaborate with cross-functional teams to deliver business intelligence solutions. Communicate effectively with team members and stakeholders. Technical Skills :Cognos Analytics : Experience in Cognos Analytics 11/12 Good knowledge in Cognos packages using Framework Manager. Design and develop reports using Report Studio. Good SQL skills for data retrieval and manipulation. Experience in data warehousing and business intelligence. Basic knowledge of Extract, Transform, Load (ETL) processes. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Show more Show less

Purpose of Job: This role manages export documentation, logistics, and customs compliance for international shipments. Responsibilities include preparing documents, coordinating shipments, ensuring customs clearance, and managing logistics costs. Principal Accountabilities: Export Documentation Document Preparation: Prepare and review all export documentation such as commercial invoices, packing lists, certificates of origin, proforma invoices, and shipping bills. Draft and process Letters of Credit (LC), ensuring compliance with its terms. Create and submit export declarations in line with customs requirements. Handle country-specific documentation, including 3rd Party quality certifications. Verification and Accuracy: Verify product details, quantities, HS codes, and other specifications to ensure document accuracy. Cross-check that documentation aligns with buyer and government requirements, avoiding delays or rejections. Coordination: Liaise with internal departments (e.g., production, central warehouse logistic and finance teams) to gather necessary information. Collaborate with freight forwarders, shipping lines, and customs brokers for smooth processing of shipments. Compliance Management: Stay updated on changes in international trade regulations, customs laws, and industry standards. Handle duty exemptions, licenses, and certifications as required. Ensure documents comply with INCOTERMS, export-import policies, and free trade agreements (if applicable). Record Maintenance: Maintain meticulous records of all export documents for audit, banking and future reference. Ensure proper archiving and easy retrieval of documents. Data Analysis with Advanced Excel: Use Advanced Excel to analyze export data, such as shipment timelines, invoice details, and payment reconciliations. Prepare pivot tables, VLOOKUPs, and conditional formatting to monitor outstanding shipments and generate actionable insights. Automate repetitive tasks like data reconciliation through macros. Logistics Coordination Shipment Planning and Execution: Develop and manage shipment schedules in collaboration with production, sales, and central warehousing teams. Select appropriate transportation methods (sea, air, or road) based on delivery timelines, cost, and customer preferences. Coordinate with freight forwarders, shipping companies, and third-party logistics providers for the smooth execution of shipments. Vendor and Partner Management: Negotiate freight rates, shipping terms, and service contracts with logistics providers. Evaluate the performance of logistics partners and recommend improvements or alternative vendors as needed. Real-Time Monitoring: Track shipments through various stages and provide timely updates to stakeholders and customers. Troubleshoot and resolve logistical issues, including delays, route changes, demurrage or damages during transit. Cost Optimization: Monitor and control shipping costs, demurrage, detention charges, and other logistics expenses. Propose cost-saving measures such as consolidation of shipments or alternate routing options. Customs and Regulatory Compliance Customs/Banking Handling: Collaborate with customs brokers to ensure timely clearance of goods. Prepare and submit accurate customs declarations, ensuring proper classification and valuation. Handle duty drawbacks, exemptions, or special incentives offered under Indian export policies. Timely submission of shipped documents in bank as per LC terms Handle end to end closer of shipping bills on EDPMS site Timely compliance of ECGC data Regulatory Updates: Stay informed about international sanctions, restricted party screening, and product-specific regulations. Monitor compliance with anti-dumping duties, restricted goods lists, and other regulatory provisions. Languages Fluency in English and regional languages (spoken and written). Qualifications & Experience Required: Bachelor’s degree (with 10+ Years of Experience) in Exports Documentation & Logistics, International Business, Supply Chain Management, or related field. Certifications (Preferred) Diploma or certification in Export-Import Management, Logistics, or Supply Chain. Advanced training in customs regulations or trade compliance. Advanced Excel (Macros, VLOOKUP, data analysis tools). Skills Required for the Job: Technical Expertise Proficient in export documentation processes, customs clearance procedures, and logistics operations. Deep understanding of INCOTERMS, trade finance instruments (e.g., LC, bank guarantees), ECGC, EDPMS and trade laws. Experience with ERP systems (e.g., SAP, S4HANA) and logistics software for shipment tracking. Knowledge of freight cost analysis, route optimization, and inventory control. Problem Solving Strong analytical skills to resolve shipment-related challenges, such as rerouting, delays, or cost overruns. Communication And Interpersonal Skills Ability to effectively communicate with a diverse group of stakeholders, including international clients, shipping agents, and government officials. Proficiency in report generation and presentation for internal and external stakeholders. Attention to Detail High accuracy in preparing, verifying, and managing complex export documents. Adaptability and Time Management Capability to manage multiple shipments simultaneously in a fast-paced environment. Prioritize tasks to meet deadlines under tight schedules. Powered by Webbtree Show more Show less

JD for the MDx - P1 position – Molecular Junior Molecular Biologist Main responsibilities Documentations of MDx lab from receipt to processing. This includes excels for sample receipt at MDx, sample comments, preliminary processing observations etc Assist with tracking DNA (storage) and help in timely retrieval of the same as per client’s request. Document the retrieval appropriately Assist with preanalytical steps such as sample inspection and comment documentation, TRFs scanning + copying. Conduct DNA extraction from different types of samples Perform sample dissection – applicable for chorionic villi and other tissue sample types Carry out Quantification of DNA as needed Agarose gel electrophoresis Assist and later carry out other molecular tests – PCR test, QFPCR, MCC, NGS library preparation Assist in tracking and maintaining molecular lab inventory (consumables and kits) Learn and assist in conduct of other new tests. Independently conduct new tests as required Assist with validation of different new tests as needed Assist and conduct SOPs drafting and proofreading. Any other work allotted by the manager and Lab Director from time-to-time Assist and cross-train in other departments such as molecular laboratory tests or biochemical genetic screening tests as required Required Competence Education - Preferred: M.Sc. Genetics/ Molecular Biology; Biotechnology; other related life sciences or Biology/ Biotechnology with at least basic knowledge of laboratory work. Bachelor's degree in relevant field- biotechnology, genetics may be considered contingent on non availability of preferred degree candidates and based on urgency Required Work Experience Related To Position – Any prior molecular biology experience will be an advantage. Special Requirements / Skills / Attributes DNA Isolation DNA quantification Agarose gel electrophoresis Handling Biological Samples PCR Good Laboratory Practice Additional Skills: Cell / Tissue Culture Microsoft Office 2010 Quality control in biological assays Validating biological assays Soft Skill: Good Communication. Motivation to work hard and if needed extra hours as well. Motivation to learn new skills. Competency Required Strategic Perspective: Successfully complete individual goals set as part of the Goal Setting process Ensure the preliminary process – DNA isolation- is always completed in a timely and quality manner to ensure sample success within proposed TAT. Market Focus Ensures quality is always given priority and maintained at the high standards of the company Leadership: Takes charge of trainees, new staff, and ensures all documentation and preliminary processes are completed Takes initiative to increase personal effectiveness and performance Participate in discussions pertaining to new tests Present views and suggestions for new tests and process improvement of existing tests Show more Show less

Role Title: Head- Business Intelligence & AI Reporting To: Chief Information Officer Location of Posting: Corporate office, Vadodara Position Overview: We are seeking seasoned Head- Business Intelligence & AI to lead our data strategy, design scalable data models, and drive analytical and AI innovation across the organization. This role combines leadership in data science, AI and business analytics with deep technical expertise in data architecture and modelling, AI/ML, ETL, Dashboards and AI including Gen AI, Agentic AI. The ideal candidate will be a strategic thinker, technical expert, and effective communicator capable of aligning data initiatives with business objectives. As the Head of AI and Analytics in a chemical manufacturing organization, your role involves leveraging AI and analytics across all functions—R&D, production, supply chain, sales, marketing, finance, HR, and compliance—while incorporating dashboarding, ETL processes, and a data lake to enable data-driven decision-making. Key Responsibilities: Data Strategy Leadership - Define and drive the enterprise-wide business intelligence and analytics strategy , Align BI initiatives with overall business goals and digital transformation priorities Formulate a comprehensive AI and analytics roadmap aligned with the organization’s goals, focusing on improving operational efficiency. Oversee the design and maintenance of a centralized data lake to store diverse data, ensuring scalability, security, and accessibility for cross-functional BI and AI initiatives. Identify cross-functional use cases, such as using AI to predict market demand, optimize pricing strategies, or enhance employee training programs. Apply AI for predictive maintenance of equipment and process optimization while using BI to monitor production KPIs and identify bottlenecks through historical data analysis. Stakeholder Engagement - Collaborate with executive leadership, functional heads, and IT to identify analytics needs, Translate business questions into actionable insights and dashboards Leadership: Lead the Analytics and AI team, provide strategic insights to the C-suite, and foster a data-driven culture. Develop and maintain interactive dashboards for all functions, providing real-time insights to stakeholders Data-Driven Decision Support - Deliver KPIs, scorecards, and predictive models to enable strategic decision-making, Promote advanced analytics, AI/ML initiatives, and scenario planning AI & GenAI Enablement: Spearhead AI and Generative AI initiatives, including hands-on leadership in deploying LLMs, implementing RAG (Retrieval-Augmented Generation) models, and identifying data science-driven opportunities across the organization. Data Governance & Quality: Ensure best practices in data governance, security, and quality management to uphold data integrity and compliance. Education Qualification: Bachelor’s or master’s in computer science, Data Science, Statistics, or related field. PhD is a plus. Experience: 10+ years of experience in analytics, data architecture, or related roles. Strong knowledge of data modelling techniques Understanding of Data Science (SQL, Python, R, and at least one cloud platform. Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT) Technical Competencies/Skills: Analytics tools (Data Lake, Tableau), and integration with other systems Deep understanding of manufacturing processes and best practices. Proven track record of implementing enterprise analytics solutions and predictive modeling at scale. Strong hands-on experience with tools like Power BI, Tableau, Python/R, SQL, and cloud platforms (AWS/GCP/Azure) or any other relevant cloud platform. Experience setting up and managing data lakes and developing end-to-end data pipelines. Sound understanding of AI/ML techniques , LLMs , GenAI tools , and emerging technologies in data science. Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT). Behavioural Competencies: Strong leadership and team management skills. Excellent communication and interpersonal skills. High level of initiative and proactive approach to problem-solving. Ability to work under pressure and manage multiple priorities. Excellent verbal and written communication skills, with the ability to present complex information to both technical and non-technical stakeholders. Strong analytical and problem-solving skills, with the ability to make data-driven decisions. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA Seeking a talented Solution Architect/BDM for On-Prem/Private AI. Requires deep open source LLM expertise to translate client needs into technical solutions. Responsibilities include assessing needs, recommending LLM tech, sizing opportunities and infrastructure, and collaborating on end-to-end solutions with costing. Needs strategic thinking, strong technical and business skills to drive innovation and client value. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in LLMs such as Phi-4, Mistral, Gemma, Llama and other foundation models Assess client business requirements and translate them into detailed technical specifications Recommend appropriate LLM solutions based on specific business outcomes and use cases Experience in sizing and architecting infrastructure for AI/ML workloads, particularly GPU-based systems. Design scalable and secure On-Prem/Private AI architectures Create technical POCs and prototypes to demonstrate solution capabilities Hands-on experience with vector databases (open-source or proprietary), such as Weaviate, Milvus, or Vald etc. Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the On-Prem/Private AI space Develop compelling proposals and solution presentations for clients Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Design, develop, and deploy AI-powered applications leveraging agentic AI frameworks such as LangChain, AutoGen, and CrewAI. Utilize the modular components of these frameworks (LLMs, Prompt Templates, Agents, Memory, Retrieval, Tools) to build sophisticated language model systems and multi-agent workflows. Implement Retrieval Augmented Generation (RAG) pipelines and other advanced techniques using these frameworks to enhance LLM responses with external data. Contribute to the development of reusable components and best practices for agentic AI implementations. Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with models such as Phi-4, Mistral, Gemma, and other foundation models Strong understanding of GPU infrastructure sizing and optimization for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Experience with Private AI deployment and fine-tuning LLMs for specific use cases Knowledge of RAG (Retrieval Augmented Generation) and enterprise knowledge systems Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Experience with major AI providers: OpenAI/Azure OpenAI, AWS, Google, Anthropic, etc. Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

We are seeking a detail-oriented and proactive Billing Executive to join our team. The Billing Executive will be responsible for managing billing processes, ensuring accuracy, and maintaining organized documentation. Key Responsibilities: Billing Management: Prepare and process invoices, ensuring accuracy and timeliness in billing cycles. Email Review: Monitor and respond to billing-related emails efficiently, addressing client inquiries and resolving discrepancies. Attention to Detail: Review billing documents meticulously to ensure accuracy in all charges and compliance with company policies. Document Record Keeping: Maintain organized records of all billing transactions, correspondence, and documentation for easy retrieval and audit purposes. Timeline Management: Coordinate billing schedules and deadlines, ensuring all tasks are completed within set timeframes. Qualifications: Strong communication skills, both verbal and written. Proficient understanding of English. Excellent attention to detail and organizational skills. Ability to manage multiple tasks and deadlines effectively. Experience with billing software or financial systems is a plus. Skills: Proficient in Microsoft Office Suite (especially Excel). Strong analytical and problem-solving skills. Ability to work independently and as part of a team. Show more Show less

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results. How You Will Contribute You will: Execute the business analytics agenda in conjunction with analytics team leaders Work with best-in-class external partners who leverage analytics tools and processes Use models/algorithms to uncover signals/patterns and trends to drive long-term business performance Execute the business analytics agenda using a methodical approach that conveys to stakeholders what business analytics will deliver What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Using data analysis to make recommendations to analytic leaders Understanding in best-in-class analytics practices Knowledge of Indicators (KPI's) and scorecards Knowledge of BI tools like Tableau, Excel, Alteryx, R, Python, etc. is a plus Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It with Pride In This Role As a DaaS Data Engineer, you will have the opportunity to design and build scalable, secure, and cost-effective cloud-based data solutions. You will develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes, ensuring data quality and validation processes to maintain data accuracy and integrity. You will ensure efficient data storage and retrieval for optimal performance, and collaborate closely with data teams, product owners, and other stakeholders to stay updated with the latest cloud technologies and best practices. Role & Responsibilities: Design and Build: Develop and implement scalable, secure, and cost-effective cloud-based data solutions. Manage Data Pipelines: Develop and maintain data pipelines to extract, transform, and load data into data warehouses or data lakes. Ensure Data Quality: Implement data quality and validation processes to ensure data accuracy and integrity. Optimize Data Storage: Ensure efficient data storage and retrieval for optimal performance. Collaborate and Innovate: Work closely with data teams, product owners, and stay updated with the latest cloud technologies and best practices to remain current in the field. Technical Requirements: Programming: Python, PySpark, Go/Java Database: SQL, PL/SQL ETL & Integration: DBT, Databricks + DLT, AecorSoft, Talend, Informatica/Pentaho/Ab-Initio, Fivetran. Data Warehousing: SCD, Schema Types, Data Mart. Visualization: Databricks Notebook, PowerBI, Tableau, Looker. GCP Cloud Services: Big Query, GCS, Cloud Function, PubSub, Dataflow, DataProc, Dataplex. AWS Cloud Services: S3, Redshift, Lambda, Glue, CloudWatch, EMR, SNS, Kinesis. Supporting Technologies: Graph Database/Neo4j, Erwin, Collibra, Ataccama DQ, Kafka, Airflow. Experience with RGM.ai product would have an added advantage. Soft Skills: Problem-Solving: The ability to identify and solve complex data-related challenges. Communication: Effective communication skills to collaborate with Product Owners, analysts, and stakeholders. Analytical Thinking: The capacity to analyse data and draw meaningful insights. Attention to Detail: Meticulousness in data preparation and pipeline development. Adaptability: The ability to stay updated with emerging technologies and trends in the data engineering field. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science Show more Show less

We are seeking a dynamic and experienced Technical Trainer to join our engineering department. The ideal candidate will be responsible for designing and delivering technical training sessions to B.Tech students across various domains, ensuring they are industry-ready and equipped with practical, job-oriented skills. Role & Responsibility To train the students in new age technology (computer Science Engineering) to bridge the industry & academia gap leading to increase in the employability of the students. Knowledge Proven experience in devising technical training programs to UG/PG Engineering students in Higher Education Institutions To be abreast in latest software as per Industry standard & having knowledge of modern training techniques and tools to deliver the technical subjects To prepare training material (presentations, worksheets etc.) To execute training sessions, webinars, workshops for students To determine overall effectiveness of programs and make improvements Technical Skills (Subject Areas of delivering Training with Practical Approach) 1. Core Programming Skills Languages: C, Python, Java, C++, JavaScript 2. Web Development Frontend: HTML, CSS, JavaScript, React.js/Next.js Backend: Node.js, Express, Django, or Spring Boot Full-Stack: MERN stack (MongoDB, Express, React, Node.js) 3. Data Science & Machine Learning Languages: Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch) Tools: Jupyter Notebook, Google Colab, MLFlow 4. AI & Generative AI LLMs (Large Language Models): Understand how GPT, BERT, Llama models work Prompt Engineering Fine-tuning & RAG (Retrieval-Augmented Generation) Hugging Face Transformers, LangChain, OpenAI APIs 5. Cloud Computing & DevOps Cloud Platforms: AWS, Microsoft Azure, Google Cloud Platform (GCP) DevOps Tools: Docker, Kubernetes, GitHub Actions, Jenkins, Terraform CI/CD Pipelines: Automated testing and deployment 6. Cybersecurity Basics: OWASP Top 10, Network Security, Encryption, Firewalls Tools: Wireshark, Metasploit, Burp Suite 7. Mobile App Development Native: Kotlin (Android), Swift (iOS) Cross-platform: Flutter, React Native 8. Blockchain & Web3 Technologies: Ethereum, Solidity, Smart Contracts Frameworks: Hardhat, Truffle 9. Database & Big Data Databases: SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Redis) Big Data Tools: Apache Hadoop, Spark, Kafka Qualification & Years of Experience as per norms: B.Tech./MCA/M.Tech (IT/CSE) from Top tier Institutes & reputed universities Industry Experience is desirable. Candidate must have minimum 2 years of training experience in the same domain. Show more Show less

Job: Project Scientist III (Data Analyst) Apply here Project title : NDMC Phase II: Developing Models to Estimate and Project Disease Burden to Inform Control and/or Elimination Strategies for Priority Diseases in India About the project: IIT Bombay is the anchor organization of the National Disease Modelling Consortium (NDMC). The consortium partners with various institutions in the country for disease modelling work. The objective of the project is to address policy and programmatic questions through India-specific disease models, to improve disease control and intervention strategies in the country. More information about the consortium can be found at www.ndmconsortium.com Essential Qualifications & Experience: PhD in data sciences with minimum 2 years relevant experience / MSc data sciences with 5 years experience OR PhD in Computer Engineering or any other engineering / MTech Data science, Computer science, Statistics or related field with minimum 3 years relevant experience/ BTech/BE/BDes or equivalent engineering degree with minimum 5 years of experience Desirable experience At least 8-10 years of experience in data science, with a proven track record in managing and supervising data science teams. Strong proficiency in R and Python for data analysis and modeling, along with extensive SQL skills for database management. Comprehensive understanding of Azure/cloud-based server and database development, with demonstrated experience in implementing cloud solutions Exceptional analytical abilities and familiarity with statistical techniques relevant to data interpretation. Experience with data visualization tools, such as Tableau and Power BI. Strong leadership, critical thinking, and problem-solving skills, with the ability to work collaboratively across teams. Job Profile: Lead and mentor a team of data scientists, facilitating collaboration, knowledge sharing, and professional growth to achieve project goals. Oversee the design and implementation of efficient database schemas and structures, ensuring optimal performance and scalability while maintaining data integrity and security. Guide the development, maintenance, and optimization of databases that support data storage and retrieval processes, including executing complex SQL queries for data manipulation. Drive the development of advanced data analysis and modeling, utilizing programming languages such as R and Python. Manage ETL (Extract, Transform, Load) processes to ensure data is prepared for analysis and reporting efficiently. Hands on experience working with data systems and platforms such as Azure Data Factory, Azure Storage, Data Lake, Azure Synapse, Databricks or similar Solid understanding of Cloud based data management, data analytics principles and tools Promote the use of data visualization tools (such as Tableau and Power BI) to communicate effectively and enhance understanding across the organization. Clearly communicate complex methodologies, findings, and analytical results to multidisciplinary teams and external partners. Contribute to the preparation of comprehensive research reports and presentations. Pay Details: Consolidated salary 78,000+HRA (if applicable) p.m. Show more Show less

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are looking for a dynamic and experienced Technical Manager to lead a team focused on delivering innovative AI-driven solutions using Prompt Engineering , Model Evolution , and AWS Knowledge Hub Service . This role requires a strong technical foundation in AI/ML systems, a deep understanding of large language models (LLMs), and experience with cloud-native architectures on AWS. You will play a pivotal role in shaping our next-generation AI products and optimizing customer experiences through scalable and intelligent systems. How will you make an impact? Lead and manage a cross-functional team of AI/ML engineers and backend developers working on LLM-based features and knowledge management solutions. Design and implement prompt engineering strategies to optimize model outputs and ensure contextual relevance across multiple AI use cases. Drive the evolution and fine-tuning of language models, leveraging user feedback, model analytics, and performance data. Architect and deploy solutions using AWS Knowledge Hub Service, enabling secure, scalable storage and retrieval of customer knowledge assets. Collaborate closely with Product Managers, Architects, and Data Scientists to define and deliver product roadmaps aligned with business goals. Set up and manage best practices for model evaluation, versioning, deployment, and monitoring in production environments. Ensure high system reliability, performance, and security in all delivered solutions. Foster a culture of innovation, continuous learning, and technical excellence within the team. Contribute to technical architecture reviews, code quality, and team mentoring. Stay updated with the latest in generative AI, AWS services, and industry trends to inform strategic decisions. Have you got what it takes? Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 10+ years of software development experience, with at least 3 years in a technical leadership or managerial role. Strong hands-on experience with LLMs, prompt engineering, and model lifecycle management. Solid understanding of AI/ML concepts, including supervised/unsupervised learning, transformers, embeddings, etc. Deep experience in AWS services, especially AWS Knowledge Hub, Lambda, S3, API Gateway, CloudWatch, and IAM. Strong knowledge of API-first development, microservices, and cloud-native architectures. Proven experience in delivering enterprise-grade solutions with high scalability, performance, and security. Excellent communication, leadership, and stakeholder management skills. Preferred Skills: Familiarity with tools like Lang Chain, Pinecone, Bedrock, or similar platforms. Experience with model training and fine-tuning using Hugging Face, OpenAI, or similar frameworks. Understanding of DevOps practices and MLOps pipelines. Exposure to knowledge management systems or enterprise search solutions. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Reporting into: Director, Engineering, CX Role Type: Manager About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less

Req ID: 327890 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Python Developer - Digital Engineering Sr. Engineer to join our team in Hyderabad, Telangana (IN-TG), India (IN). PYTHON Data Engineer Exposure to retrieval-augmented generation (RAG) systems and vector databases. Strong programming skills in Python (and optionally Scala or Java). Hands-on experience with data storage solutions (e.g., Delta Lake, Parquet, S3, BigQuery) Experience with data preparation for transformer-based models or LLMs Expertise in working with large-scale data frameworks (e.g., Spark, Kafka, Dask) Familiarity with MLOps tools (e.g., MLflow, Weights & Biases, SageMaker Pipelines) About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Show more Show less

Minimum qualifications: Bachelor's degree in Electrical, Electronics or Computer Engineering, or equivalent practical experience. 2 years of experience in development, testing and deployment of consumer electronics/embedded systems. Experience with Embedded Systems, Devices, C, C++, Kernel, Device Drivers, Linux, Firmware. Experience with embedded programming in C/C++. Preferred qualifications: Experience in Electrical, Electronics or Computer Engineering with competencies in Embedded domain, data structures, algorithms, and software design. Experience in working closely with hardware designers and reading schematics. Experience with Advanced RISC Machine (ARM) or other low-power SoC architectures, memory system, interconnects etc. Experience in Performance/power analysis and optimization. Knowledge of embedded systems development, Real-Time Operating System (RTOS) concepts, device drivers and hardware/software integration. Knowledge of Advanced RISC Machine (ARM), system BIOS, Linux kernel, device drivers. 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. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology. Responsibilities Design software applications for developers, and let them make use of hardware accelerators seamlessly in a timely manner. Implement and validate firmware and Linux drivers for optimal power consumption and performance. Design, develop, and test embedded software drivers for the next generation of smart devices. 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. Write product or system development code. 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 . Show more Show less

Job description Job Title: Full Stack Developer (React JS & Node.js) Location: Mohali, Punjab Exp Required : 3 years Job Type: Full-Time Department: Software Development Preference : Local Candidates Company: LGS (Lakhera Global Services) About Us:LGS (Lakhera Global Services) is an innovative technology company based in Mohali, specializingin delivering high-quality software solutions to clients across the globe. We are dedicated to pushingthe boundaries of technology and are looking for a talented Full Stack Developer to join ourgrowing team. The ideal candidate will have strong experience in React JS, Node.js, andPostgreSQL and be ready to work on exciting and impactful projects.Role Overview:As a Full Stack Developer at LGS, you will be responsible for developing both front-end andback-end components of our web applications. You will work with cutting-edge technologies suchas React JS for the front-end, Node.js for the server-side, and PostgreSQL or Apache Cassandrafor database management. This is a fantastic opportunity to work across the entire stack andcontribute to innovative projects. Key Responsibilities: Frontend Development: Design and develop dynamic user interfaces using React JS to deliver high-quality,responsive, and interactive web applications. Work closely with UX/UI designers to translate wireframes and mockups into code. Implement state management using Redux or Context API. Optimize web applications for speed, scalability, and user experience. Backend Development: Develop server-side logic and APIs using Node.js and Express.js to support front end functionality. Handle server-side authentication, data processing, and integration with third-partyservices. Build and maintain scalable RESTful APIs and work with the front-end team toensure seamless integration. Database Management: Design and maintain relational databases using PostgreSQL, ensuring optimalperformance, data integrity, and security. Write efficient SQL queries for data retrieval and management. Implement database migrations, optimizations, and data backups. Collaboration & Code Quality: Participate in code reviews and collaborate with other developers to ensure high quality code and best practices. Maintain version control using Git and adhere to Agile development practices. Troubleshoot and debug issues across the full stack, ensuring the smooth operation ofapplications. Testing & Deployment: Write unit tests, integration tests, and perform end-to-end testing to ensureapplication reliability. Deploy applications to production environments using modern CI/CD practices. Continuously monitor and optimize performance, identifying bottlenecks andaddressing security vulnerabilities. Qualifications:1. Proven experience as a Full Stack Developer or similar role, with expertise in React JS,Node.js, and PostgreSQL pr Apache Cassandra. Strong proficiency in JavaScript (ES6+), HTML5, and CSS3. Hands-on experience with React JS and state management libraries like Redux or ContextAPI. Experience with Node.js and Express.js, Middleware,Jsonwebtoken for building server side applications and APIs. Strong knowledge of PostgreSQL or Apache Cassandra and experience designing andoptimizing relational databases. Experience with RESTful API development and integration. Familiarity with front-end build tools like Webpack, Babel, and npm/yarn. Experience with version control systems, particularly Git. Familiarity with unit testing and testing frameworks (e.g., Jest, Mocha). Knowledge of Agile/Scrum methodologies.Nice to Have: Familiarity with TypeScript. Experience with Docker, containerization, and cloud platforms (e.g., AWS, Heroku,Azure). Knowledge of GraphQL or other API technologies. Experience with Microservices architecture. Personal Attributes: Strong problem-solving skills and the ability to debug complex issues. Excellent communication skills, with a collaborative and team-oriented mindset. Self-motivated and proactive, with a passion for learning new technologies. Detail-oriented and focused on delivering clean, maintainable code. Interested candidates can share cv recruiter@lakheraglobalservices.com or contact us 98882 55570 Job Types: Full-time, Permanent Pay: ₹35,000.00 - ₹55,000.00 per month Benefits: Health insurance Paid sick time Schedule: Day shift Morning shift Work Location: In person

Job Summary Responsible for the development, implementation, and maintenance of human resource information systems (HRIS) associated with the collection, retrieval, accessibility, and usage of employee information for Human Resource department planning and activities. Maintains internal database files and tables and develops custom reports to meet the requirements of Human Resource management and staff. Modify existing HRIS to meet changing demands. Often works with Compensation COE for configuration of semi/annual compensation process. May serve as HR department liaison to MIS/IT function. Essential Duties And Responsibilities The incumbent may be asked to perform other function-related activities in addition to the below-mentioned responsibilities as reasonably required by business needs. Manages project and process improvement, including applying change management experience to facilitate movement to new levels of quality. Recommend process improvements. Perform system configuration, form updates,maintenance and upgrades, including assisting in the review, testing and implementation of HRIS system upgrades. Generate reports/queries, including writing, maintaining, and supporting the reports for business needs. Respond to employee queries within defined SLAs. Manages compensation module and Semi/Annual compensation processes Work with internal stakeholders on integrations and troubleshooting with HRIS and system of records. Partner with third party vendors on any process improvement. Qualifications Education Bachelor’s degree required Bachelor’s degree is equivalent to three (3) years of experience Specific Area of Study: BS in Human Resources, Accounting or relevant field Experience 5 to 7 years relevant experience with SuccessFactors and HRIS Specific Related Experience: Skills Understands and uses qualitative/quantitative measurement and data collection design principles. Configuration and Forms for SuccessFactors Compensation module Update and creation of SuccessFactors role permissions preferred. Advanced skills in Microsoft Office Suite or related software. Excellent analytical skills and problem-solving skills with the ability to spot numerical errors. Excellent organizational skills and attention to detail. The ability to work under tight deadlines. Can understand the broader business context, and able to priorities time and resource investment to align leaders and subordinates to drive maximum impact. Strong verbal and written communication and interpersonal skills. Ability to articulate ideas clearly and concisely. Show more Show less

WHO ARE WE? noon is the largest e-commerce player in the Middle East and is quickly becoming the go-to platform for all online customer needs. We've built a full-fledged ecosystem of products and services in e-commerce, quick-commerce, food, fintech, grocery, and fashion—and we're just getting started. We are a team of dynamic professionals who are aggressively ambitious, rapidly scaling, and uniquely positioned to capitalize on the rapid adoption of e-commerce in the Middle East. We’re on an unconventional mission, doing something that has never been done before. We are developing the future of online shopping, and we’re looking for top talent to join us on our mission. KEY RESPONSIBILITIES Process Execution: Handling Financial Reporting and Management Information Systems. The ideal candidate will have a strong background in finance, reporting, and MIS, and will be responsible for ensuring accurate and timely financial reports and effective MIS operations. Financial Reporting: Assist in the preparation and review of monthly, quarterly, and annual financial reports. Ensure compliance with accounting standards and regulatory requirements. Analyze financial data and provide insights to support decision-making. Coordinate with external auditors for financial audits and manage audit-related tasks. Prepare financial statements, balance sheets, and income statements. Monitor and reconcile general ledger accounts. Management Information Systems (MIS): Develop, implement, and maintain MIS solutions to support business operations and decision-making. Ensuring compliance with inter-company policies and balance reconciliation. Create and manage dashboards, reports, and data visualizations for management review. Coordinate with cross-functional teams. Work closely with finance. GL accounting and reconciliation: Ensuring timely month end accounting and reporting of Profit or loss and Balance sheet numbers to group. Setting polices to ensure proper accounting of transactions with consistency, accuracy and completeness. Ensuring proper compliance with IFRS standards and group policies wherever applicable Ensuring closure of inter-company balance reconciliation on periodic basis Resolving accounting ambiguities and set process of reconciliation. Expenses control and reconciliation: Set process of monthly expenses booking and actualization of expenses under different reporting categories Maintain control over provisions and monthly expenses Cross charging expenses to group companies and ensuring timely recoveries Audit Support: Provide support during internal and statutory audits by assisting in data retrieval, documentation, and compliance-related tasks. Process Participation: Actively participate in new initiatives and process improvement projects, offering input and assistance as needed to enhance efficiency and effectiveness. SKILLS REQUIRED Qualification: B Com/ BBA Plus CA/ MBA or Equivalent qualification. Experience: Minimum 3-5 Years of work experience in a centralized setup environment handling Financial Reporting and Management Information Systems. Strong attention to detail and accuracy. Minimum 3-5 years of experience in Financial Reporting and Management Information Systems. Systems tool Work Experience: Oracle /Other ERP/ MS Dynamic/ Strong experience in handling Excel. Knowledge of SQL / VB/ data management tool is preferred Strong presentation and data management skills Language Proficiency: English/ Arabic (would be an advantage). Excellent communication and interpersonal abilities. WHO WILL EXCEL? ‘noon isn’t for everyone. And that’s okay.’ This is one of our core operating principles. We're looking for resourceful doers. Thinkers who are both creative and analytical. Problem solvers who are enthusiastic about delivering results. Our ideal candidate will be comfortable in a fast-paced, multi-tasked, high-energy and often ambiguous environment. If the above values resonate with you, then noon might be the place for you. Show more Show less

Position Type: PartTime / Contract / Remote Location: Open Experience Required: 2-3 years (or equivalent project experience) Key Responsibilities: Work with Large Language Models (LLMs) , both open-source (like LLaMA, Mistral, GPT-NeoX) and API-based (like OpenAI, Anthropic) Develop and manage multi-agent system architectures for AI-driven applications Conduct comparative evaluation of LLMs based on quality, speed, cost, and reliability Design, test, and optimize prompts , context management strategies, and resolve common issues like hallucinations and irrelevant outputs Understand the basics of model fine-tuning and customizing pre-trained models for domain-specific use-cases Build and integrate backend systems using Node.js , RESTful/GraphQL APIs, and database management (SQL / NoSQL) Deploy applications on cloud platforms like Firebase, AWS, or Azure , and manage resources effectively Implement and manage agentic AI systems , A2A workflows (agent-to-agent) , and RAG (Retrieval-Augmented Generation) pipelines Handle hosting, scaling, and deployment of websites/web apps and maintain performance during high traffic loads Optimize infrastructure for cost-effectiveness and high availability Work with frameworks like LangChain , AutoGen , or equivalent LLM orchestration tools Lead or collaborate on AI-powered product development from concept to deployment Balance between rapid prototyping and building production-grade, reliable AI applications Preferred Skills: Strong understanding of LLM evaluation frameworks and metrics Familiarity with LangChain, AutoGen, Haystack , or similar AI agent management libraries Working knowledge of AI deployment best practices Basic knowledge of Docker, Kubernetes , and scalable hosting setups Experience in managing cross-functional teams or AI development interns is a plus Bonus Advantage: Prior experience working on AI-powered SaaS platforms Contribution to open-source AI projects or AI hackathons Familiarity with data privacy, security compliance, and cost management in AI applications Show more Show less

Company Overview At Nexus Jobs, we specialize in empowering talent staffing services and have extensive experience in pan-India hiring. We offer comprehensive corporate manpower and industrial employment services, including immediate placement services and career opportunities for freshers and experienced candidates. Located in Jaipur, with a team of 11-50 employees, Nexus Jobs is a cornerstone in the Human Resources industry. For more information, visit our website at nexusjobs.in. Job Overview Nexus Jobs is seeking a dedicated and detail-oriented individual for the role of Company Secretary. This full-time, junior position is ideal for candidates with 1 to 3 years of relevant work experience. The role focuses on ensuring the company's compliance with statutory and regulatory requirements and executing effective communication between stakeholders. Qualifications and Skills Strong understanding of board meeting coordination to effectively facilitate meetings and document outcomes. Expertise in minutes taking, ensuring accurate and comprehensive records of all company meetings. Ability to ensure regulatory compliance by staying abreast of legal and industry requirements. Excellent stakeholder communication skills to build and maintain productive relationships. Proficiency in document management, ensuring proper filing and retrieval of corporate records. Experience in corporate governance (Mandatory skill) is crucial for aligning company objectives with industry best practices. Thorough knowledge of company law (Mandatory skill) to provide expert legal guidance and ensure compliance. Proficient in legal research (Mandatory skill) to support decision-making with well-substantiated insights. Roles and Responsibilities Facilitate effective board meetings, ensuring all materials are prepared, and recording minutes accurately. Ensure the company complies with statutory obligations and maintain the necessary records to demonstrate compliance. Communicate effectively with stakeholders, providing clear and coherent updates on compliance and regulatory matters. Manage and safeguard important company documents including permits, licenses, and corporate records. Conduct legal research to support company initiatives and ensure alignment with legal standards and practices. Advise the board on corporate governance practices and internal policies to maintain high organizational standards. Assist in drafting resolutions, minutes, and other documentation related to company meetings and decisions. Monitor changes in relevant legislation and the regulatory environment to advise the company accordingly. Show more Show less

This role is for one of the Weekday's clients Min Experience: 3 years Location: Bengaluru, India JobType: full-time As a Senior AI Developer / Architect , you won't be handed rigid specifications—you'll be driving innovation, architecture, and implementation across AI-driven systems that learn, adapt, and respond intelligently to user needs. Requirements Key Responsibilities: Design and build autonomous AI agents using LLMs/SLMs and Retrieval-Augmented Generation (RAG) techniques. Implement advanced agent behaviors including task decomposition, reasoning, and action planning (e.g., Chain-of-Thoughts, ReAct). Rapidly prototype and iterate on AI capabilities to create adaptive and intelligent user experiences. Leverage and contribute to frameworks such as LangChain, LlamaIndex, and others to power intelligent applications. Collaborate with UX, product, and engineering teams to bring AI features into production. Select, fine-tune, evaluate, and optimize models to meet performance, reliability, and scalability requirements. Contribute to the setup of robust AI/ML Ops pipelines for continuous delivery and lifecycle management of models. Ensure security and compliance in AI model development and data usage. Partner with data engineering teams to curate high-quality training and analysis datasets. Required Skills & Qualifications: 3+ years of hands-on experience in AI/ML development and architecture. Demonstrated expertise in building LLM/SLM-based AI agents with real-world applications. Strong understanding of deep learning, NLP, reinforcement learning, and both supervised and unsupervised learning techniques. Familiarity with modern AI frameworks including LangChain, LlamaIndex, and similar libraries. Experience with model deployment and operationalization in production environments. Strong grasp of AI ethics, data privacy, and application security considerations. Excellent problem-solving skills and the ability to thrive in a collaborative, fast-paced environment. Nice to Have: Experience in leading or assembling AI/ML Ops teams. Contributions to open-source AI frameworks or research. Background in deploying generative AI systems or intelligent assistants at scale Show more Show less

Job Description: We are seeking a highly organized and efficient Office Administrator to join our team. The ideal candidate will have a minimum of 1-3 years of experience in office administration and possess excellent communication and interpersonal skills. Responsibilities: Reception and Administration: Greet visitors and maintain a welcoming office environment. Answer and direct phone calls in a professional and timely manner. Manage and maintain office calendars and schedules. Coordinate and schedule meetings, including room bookings and necessary arrangements. Office Management: Order and maintain office supplies, stationery, and equipment consumables. Manage office equipment, ensuring proper functioning and maintenance. Oversee office cleanliness and upkeep, coordinating with cleaning services. Data Management and Filing: Accurately input and manage data into various systems. Maintain organized and up-to-date filing systems for easy retrieval of documents. Event Coordination: Assist in planning and organizing internal and external events. Manage event logistics, including invitations, venue arrangements, and catering. General Administrative Support: Provide administrative support to the management team as needed. Handle various office-related tasks such as photocopying, scanning, and mailing. Qualifications: Minimum 1-3 years of experience as an Office Administrator. Excellent verbal and written communication skills. Proficiency in MS Office Suite (Word, Excel, PowerPoint, Outlook). Strong organizational and time management skills. Attention to detail and accuracy. Ability to multitask and prioritize tasks effectively. Additional Responsibilities (Consider Including Based on Company Needs): Travel arrangements for employees (booking flights, hotels, etc.) Payroll processing and benefits administration Vendor management and contract negotiations Expense reporting and reimbursement Facilities management (maintenance, repairs, security) Show more Show less