6199 Retrieval Jobs - Page 48

Job Title: Python Backend Developer (Data Layer) Location: Mohali, Punjab Company: RevClerx About RevClerx: RevClerx Pvt. Ltd., founded in 2017 and based in the Chandigarh/Mohali area (India), is a dynamic Information Technology firm providing comprehensive IT services with a strong focus on client-centric solutions. As a global provider, we cater to diverse business needs including website designing and development, digital marketing, lead generation services (including telemarketing and qualification), and appointment setting. Job Summary: We are seeking a skilled Python Backend Developer with a strong passion and proven expertise in database design and implementation. This role requires 3-4 years of backend development experience, focusing on building robust, scalable applications and APIs. The ideal candidate will not only be proficient in Python and common backend frameworks but will possess significant experience in designing, modeling, and optimizing various database solutions, including relational databases (like PostgreSQL) and, crucially, graph databases (specifically Neo4j). You will play a vital role in architecting the data layer of our applications, ensuring efficiency, scalability, and the ability to handle complex, interconnected data. Key Responsibilities: ● Design, develop, test, deploy, and maintain scalable and performant Python-based backend services and APIs. ● Lead the design and implementation of database schemas for relational (e.g., PostgreSQL) and NoSQL databases, with a strong emphasis on Graph Databases (Neo4j). ● Model complex data relationships and structures effectively, particularly leveraging graph data modeling principles where appropriate. ● Write efficient, optimized database queries (SQL, Cypher, potentially others). ● Develop and maintain data models, ensuring data integrity, consistency, and security. ● Optimize database performance through indexing strategies, query tuning, caching mechanisms, and schema adjustments. ● Collaborate closely with product managers, frontend developers, and other stakeholders to understand data requirements and translate them into effective database designs. ● Implement data migration strategies and scripts as needed. ● Integrate various databases seamlessly with Python backend services using ORMs (like SQLAlchemy, Django ORM) or native drivers. ● Write unit and integration tests, particularly focusing on data access and manipulation logic. ● Contribute to architectural decisions, especially concerning data storage, retrieval, and processing. ● Stay current with best practices in database technologies, Python development, and backend systems. Minimum Qualifications: ● Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, OR equivalent practical experience. ● 3-4 years of professional software development experience with a primary focus on Python backend development. ● Strong proficiency in Python and its standard libraries. ● Proven experience with at least one major Python web framework (e.g., Django, Flask, FastAPI). ● Demonstrable, hands-on experience designing, implementing, and managing relational databases (e.g., PostgreSQL). ● Experience with at least one NoSQL database (e.g., MongoDB, Redis, Cassandra). ● Solid understanding of data structures, algorithms, and object-oriented programming principles. ● Experience designing and consuming RESTful APIs. ● Proficiency with version control systems, particularly Git. ● Strong analytical and problem-solving skills, especially concerning data modeling and querying. ● Excellent communication and teamwork abilities. Preferred (Good-to-Have) Qualifications: ● Graph Database Expertise: ○ Significant, demonstrable experience designing and implementing solutions using Graph Databases (Neo4j strongly preferred). ○ Proficiency in graph query languages, particularly Cypher. ○ Strong understanding of graph data modeling principles, use cases (e.g., recommendation engines, fraud detection, knowledge graphs, network analysis), and trade-offs. ● Advanced Database Skills: ○ Experience with database performance tuning and monitoring tools. ○ Experience with Object-Relational Mappers (ORMs) like SQLAlchemy or Django ORM in depth. ○ Experience implementing data migration strategies for large datasets. ● Cloud Experience: Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and their managed database services (e.g., RDS, Aurora, Neptune, DocumentDB, MemoryStore). ● Containerization & Orchestration: Experience with Docker and Kubernetes. ● Asynchronous Programming: Experience with Python's asyncio and async frameworks. ● Data Pipelines: Familiarity with ETL processes or data pipeline tools (e.g., Apache Airflow). ● Testing: Experience writing tests specifically for database interactions and data integrity. What We Offer: ● Challenging projects with opportunities to work on cutting-edge technologies especially in the field of AI. ● Competitive salary and comprehensive benefits package. ● Opportunities for professional development and learning (e.g., conferences, courses, certifications). ● A collaborative, innovative, and supportive work environment. How to Apply: Interested candidates are invited to submit their resume and a cover letter outlining their relevant experience, specifically highlighting their database design expertise (including relational, NoSQL, and especially Graph DB/Neo4j experience) to Job Type: Full-time Pay: ₹14,154.00 - ₹65,999.72 per month Benefits: Food provided Health insurance Location Type: In-person Schedule: Morning shift Work Location: In person

We are looking for a Principal Technical Consultant – Data Engineering & AI who can lead modern data and AI initiatives end-to-end — from enterprise data strategy to scalable AI/ML solutions and emerging Agentic AI systems. This role demands deep expertise in cloud-native data architectures, advanced machine learning, and AI solution delivery, while also staying at the frontier of technologies like LLMs, RAG pipelines, and AI agents. You’ll work with C-level clients to translate AI opportunities into engineered outcomes. Roles and Responsibilities AI Solution Architecture & Delivery: Design and implement production-grade AI/ML systems, including predictive modeling, NLP, computer vision, and time-series forecasting. Architect and operationalize end-to-end ML pipelines using MLflow, SageMaker, Vertex AI, or Azure ML — covering feature engineering, training, monitoring, and CI/CD. Deliver retrieval-augmented generation (RAG) solutions combining LLMs with structured and unstructured data for high-context enterprise use cases. Data Platform & Engineering Leadership: Build scalable data platforms with modern lakehouse patterns using: Ingestion: Kafka, Azure Event Hubs, Kinesis Storage & Processing: Delta Lake, Iceberg, Snowflake, BigQuery, Spark, dbt Workflow Orchestration: Airflow, Dagster, Prefect Infrastructure: Terraform, Kubernetes, Docker, CI/CD pipelines Implement observability and reliability features into data pipelines and ML systems. Agentic AI & Autonomous Workflows (Emerging Focus): Explore and implement LLM-powered agents using frameworks like LangChain, Semantic Kernel, AutoGen, or CrewAI. Develop prototypes of task-oriented AI agents capable of planning, tool use, and inter-agent collaboration for domains such as operations, customer service, or analytics automation. Integrate agents with enterprise tools, vector databases (e.g., Pinecone, Weaviate), and function-calling APIs to enable context-rich decision making. Governance, Security, and Responsible AI: - Establish best practices in data governance, access controls, metadata management, and auditability. Ensure compliance with security and regulatory requirements (GDPR, HIPAA, SOC2). Champion Responsible AI principles including fairness, transparency, and safety. Consulting, Leadership & Practice Growth: Lead large, cross-functional delivery teams (10–30+ FTEs) across data, ML, and platform domains. Serve as a trusted advisor to clients’ senior stakeholders (CDOs, CTOs, Heads of AI). Mentor internal teams and contribute to the development of accelerators, reusable components, and thought leadership. Key Skills 12+ years of experience across data platforms, AI/ML systems, and enterprise solutioning Cloud-native design experience on Azure, AWS, or GCP Expert in Python, SQL, Spark, ML frameworks (scikit-learn, PyTorch, TensorFlow) Deep understanding of MLOps, orchestration, and cloud AI tooling Hands-on with LLMs, vector DBs, RAG pipelines, and foundational GenAI principles Strong consulting acumen: client engagement, technical storytelling, stakeholder alignment Qualifications Master’s or PhD in Computer Science, Data Science, or AI/ML Certifications: Azure AI-102, AWS ML Specialty, GCP ML Engineer, or equivalent Exposure to agentic architectures, LLM fine-tuning, or multi-agent collaboration frameworks Experience with open-source contributions, conference talks, or whitepapers in AI/Data

Hiring For AI Enginner - Python Developer :- Job Description:- We are seeking a talented Python Developer with hands-on experience in AI chatbot development and familiarity with Model Context Protocol (MCP) to join our AI team. You will be responsible for developing intelligent, context-aware conversational systems that integrate seamlessly with our internal knowledge base and enterprise services. The ideal candidate is technically proficient ,proactive, and capable of translating complex AI interactions into scalable backend solutions. Key Responsibilities 1. Design and develop robust AI chatbots using Python and integrate them with LLM APIs(e.g., OpenAI, Google AI, etc.). 2. Implement and manage Model Context Protocol (MCP) for optimize context injection, session management, and model-aware interactions. 3.Build and maintain secure pipelines for knowledge base access that allow the chatbot to accurately respond to internal queries. 4.Work with internal teams to define and evolve the contextual metadata strategy (roles, user state, query history, etc.). 5.Contribute to internal tooling and framework development for contextual AI applications. Required Skills & Experience 1. 3+ years of professional Python development experience. 2. Proven track record in AI chatbot development, particularly using LLMs. 3. Understanding of Model Context Protocol (MCP) and its role in enhancing AI interactionfidelity and relevance. 4. Strong experience integrating with AI APIs (e.g., OpenAI, Azure OpenAI). 5. Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector-basedsearch (e.g., Pinecone, Weaviate, FAISS). 6. Experience designing systems that ingest and structure unstructured knowledge (e.g., PDF,Confluence, Google Drive docs). 7. Comfortable working with RESTful APIs, event-driven architectures, and context-awareservices.8.Good understanding of data handling, privacy, and security standards related to enterpriseAI use. Job Location: Indore Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 WhatsApp : 8224006397 Job Type: Full-time Pay: ₹13,378.21 - ₹58,556.85 per month Application Question(s): Immediate Joiner Have you completed your Bachelor's\Master's Degree? Experience: Python: 3 years (Required) Model Context Protocol (MCP): 3 years (Required) LLM APIs: 3 years (Required) Artificial Intelligence: 2 years (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person

Overview The Data Lead for the AMEA (Asia, Middle East, and Africa) and India region is a strategic leadership position responsible for overseeing data management, data governance, data analytics, and data strategy initiatives across the region. Reporting to the CIO of AMEA & India, the Data Lead role will work closely with the GBUs (Global Business Units) and support functions to ensure effective and ethical use of data to drive business growth, operational efficiency, and informed decision-making. This role requires a visionary leader with deep expertise in data science, data architecture, and data governance, as well as strong leadership and communication skills. Key Responsibilities Data Strategy and Governance Develop and implement a comprehensive data strategy aligned with Group data strategy and business objectives and growth plans of AMEA & India region. Implement Group Data Policy across AMEA & India region. Establish data governance policies to ensure data quality, privacy, and security across all data assets. Collaborate with regional and global stakeholders to harmonize data standards and practices across the AMEA organization. Oversee development and maintenance of data architecture and infrastructure, ensuring scalability and robustness. Monitor regulatory compliance related to data privacy and security, and ensure adherence to relevant laws and regulations. Data Management Lead design, implementation, and management of data management systems and processes, including data warehousing, data lakes, and data integration platforms. Ensure the accurate and timely collection, storage, and retrieval of data from diverse sources across the AMEA region. Implement best practices for data lifecycle management, including data retention, archiving, and disposal. Managing the regional data team, including data analysts, data scientists, and data engineers, ensuring that they are aligned with the organization's data strategy and goals. Ensuring that the region's data is collected, stored, and analyzed in compliance with data privacy laws and regulations. Identifying and prioritizing data-related opportunities and risks within the region, and collaborating with other executives and business leaders to develop data-driven solutions. Fostering a data culture within the region by educating and training employees on effective data use and promoting interdepartmental collaboration. Ensure the digital & data integration of new acquired companies and the data & digital disintegration of sold companies Data Analytics and Insights Drive development and deployment of advanced analytics and business intelligence solutions to support data-driven decision-making. Lead a team of data scientists, analysts, and engineers to generate actionable insights from data, enabling business leaders to make informed decisions. Foster a culture of data literacy and data-driven innovation across the organization. Leadership and Collaboration Provide visionary leadership to the data team, setting clear goals, expectations, and performance metrics. Collaborate with senior executives and business leaders within the GBUs and support functions to identify data-driven opportunities and challenges. Collaborate with the entities Data Leads to ensure consistency in data policies, standards, and procedures across the organization. Keeping up-to-date with the latest trends and technologies in the data field, and identifying opportunities to leverage emerging technologies to improve data-driven decision-making in the region. Build and maintain strong relationships with external partners, vendors, and industry experts to stay abreast of emerging trends and technologies. Qualifications Master's degree in Data Science, Computer Science, Information Technology, or a related field. At least 10 years of experience in data management, data analytics, or a related field, with a minimum of 5 years in a senior leadership role. Proven track record of developing and executing data strategies that drive business value. In-depth knowledge of data governance, data architecture, data security, and regulatory compliance. Strong expertise in data analytics, machine learning, and AI. Excellent leadership, communication, and interpersonal skills. Ability to work effectively in a diverse and multicultural environment. Skills and Competencies Strategic Vision: Ability to develop and articulate a clear vision for data strategy and governance. Technical Expertise: Proficiency in data management technologies, analytics tools, and programming languages. Leadership: Strong leadership skills with the ability to inspire and motivate a high-performing data team. Communication: Excellent communication skills, both verbal and written, with the ability to convey complex data concepts to non-technical stakeholders. Collaboration: Proven ability to work collaboratively with cross-functional teams and external partners. Problem-Solving: Strong analytical and problem-solving skills, with a focus on data-driven solutions. Analytical skills: Ability to analyze large amounts of data to identify patterns, trends, and insights that can be used to drive business decisions. Strategic thinking: Ability to develop and implement a comprehensive data strategy that aligns with the organization's goals and objectives. Leadership skills: An effective leader who can manage and motivate a team of data professionals and collaborate effectively with other executives and business leaders. Communication skills: Ability to communicate complex data-related concepts and insights to non-technical stakeholders in a clear and concise manner. Change management skills: Ability to manage and lead organizational change related to data strategy, policies, and processes. Business acumen: Have a strong understanding of business and industry in which the organization operates, and ability to use data to drive business outcomes. Reports to: CIO of AMEA & India Location : Pune, India Business Unit: GBU Renewables Division: T&G AMEA - India Legal Entity: ENGIE Energy India Private Limited Professional Experience: Senior (experience >15 years) Education Level: Master's Degree

Role : AI Developer - Agentic AI Exp: 2-3 Years Work Mode: 12- 10 pm, Onsite( Mohali, Punjab) Job Role & Responsibilities Design, develop, and deploy Agentic AI systems capable of autonomous task execution by integrating reasoning, memory, and tool use to enable intelligent behavior across complex, multi-step workflows. Architect intelligent agents that can dynamically interact with APIs, data sources, and third-party tools to accomplish diverse objectives with minimal human intervention. Optimize performance of agentic frameworks by enhancing model accuracy, minimizing response latency, and ensuring scalability and reliability in real-world applications. Develop reusable, testable, and production-grade code , adhering to best practices in software engineering and modern AI development workflows. Collaborate with cross-functional teams , including product managers, designers, and backend engineers, to convert business requirements into modular agent behaviors. Integrate Retrieval-Augmented Generation (RAG) , advanced NLP techniques, and knowledge graph structures to improve decision-making and contextual awareness of agents. Conduct rigorous profiling, debugging, and performance testing of agent workflows to identify bottlenecks and improve runtime efficiency. Write and maintain comprehensive unit, integration, and regression tests to validate agent functionality and ensure robust system performance. Continuously enhance codebases , refactor existing modules, and adopt new design patterns to accommodate evolving agentic capabilities and improve maintainability. Implement secure, fault-tolerant, and privacy-compliant designs to ensure that deployed agentic systems meet enterprise-grade reliability and data protection standards. Qualification Required: Bachelor's degree in computer science , or related field. Specialization or Certification in AI or ML is a plus. Technical Expertise: 2+ years of hands-on experience in AI/ML/DL projects, with a strong emphasis on Natural Language Processing (NLP) , Named Entity Recognition (NER) , and Text Analytics . Proven ability to design and deploy Agentic AI systems -autonomous, goal-oriented agents that exhibit reasoning, memory retention, tool use, and execution of multi-step tasks. Practical expertise in agent architecture , task decomposition, and seamless integration with external APIs, databases, and tools to enhance agent capabilities. Skilled in agent prompting strategies , including dynamic prompt chaining and context management, to guide language models through intelligent decision-making workflows. Experience with Retrieval-Augmented Generation (RAG) pipelines and generative AI , with a strong focus on optimizing NLP models for low-latency, high-accuracy production use. Solid foundation in deep learning methods , recommendation engines, and AI applications within HR or similar domains. Exposure to Reinforcement Learning (RL) frameworks and holds relevant certifications or specializations in Artificial Intelligence , showcasing continuous learning and depth in the field. Minimum skills we look for: Skills & Expertise (with Agentic AI focus) Proven experience in building Agentic AI systems , including autonomous agents capable of multi-step reasoning, memory management, and tool use. Expertise in agent design patterns , task decomposition , dynamic planning, and decision-making logic using LLMs. Skilled in integrating multi-agent coordination , goal-setting, and feedback loops to create adaptive, evolving agent behavior. Strong command over prompt engineering , contextual memory structuring , and tool calling mechanisms within LLM-powered agent workflows. Proficiency in managing agent memory (short-term, long-term, episodic) using vector databases and custom memory stores. Ability to build autonomous task execution pipelines with minimal human input, combining language models, APIs, and third-party tools. Experience with frameworks and orchestration for agent behavior tracing, logging, and failure recovery . Tools & Technologies – Agentic AI Agentic Frameworks : LangChain, CrewAI, AutoGen, AutoGPT, BabyAGI – for building, managing, and orchestrating intelligent agents. LLM APIs : OpenAI (GPT-4/3.5), Anthropic (Claude), Cohere, Hugging Face Transformers. Memory & Vector Databases : FAISS, Weaviate, Pinecone, Chroma – for embedding-based agent memory and contextual retrieval. Prompt Management Tools : PromptLayer, LangSmith – for testing, evaluating, and refining agent prompts and traces. RAG & Context Enrichment : LangChain RAG pipelines, Haystack, Milvus. Autonomy Infrastructure : Docker, FastAPI, Redis, Celery – for building scalable agent runtimes. Observability : OpenTelemetry, Langfuse (or similar) for tracing agent decisions, failures, and success metrics. Testing Agentic Behavior : Integration with PyTest + mock APIs/tools to validate autonomous decision logic and fallback strategies.

Responsible for developing, optimize, and maintaining business intelligence and data warehouse systems, ensuring secure, efficient data storage and retrieval, enabling self-service data exploration, and supporting stakeholders with insightful reporting and analysis. 1. Support the development and maintenance of business intelligence and analytics systems to support data-driven decision-making. 2. Implement of business intelligence and analytics systems, ensuring alignment with business requirements. 3. Design and optimize data warehouse architecture to support efficient storage and retrieval of large datasets. 4. Enable self-service data exploration capabilities for users to analyze and visualize data independently. 5. Develop reporting and analysis applications to generate insights from data for business stakeholders. 6. Design and implement data models to organize and structure data for analytical purposes. 7. Implement data security and federation strategies to ensure the confidentiality and integrity of sensitive information. 8. Optimize business intelligence production processes and adopt best practices to enhance efficiency and reliability. 9. Assist in training and support to users on business intelligence tools and applications. 10. Collaborate and maintain relationships with vendors and oversee project management activities to ensure timely and successful implementation of business intelligence solutions. Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred. Relevant work experience in data engineering based on the following number of years: Standard I: Two (2) years Standard II: Three (3) years Senior I: Four (4) years Senior II: Five (5) years Knowledge, Skills and Abilities Fluency in English Analytical Skills Accuracy & Attention to Detail Numerical Skills Planning & Organizing Skills Presentation Skills Data Modeling and Database Design ETL (Extract, Transform, Load) Skills Programming Skills FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace.

Role & responsibilities Job Responsibilities Ensure the newly installed equipment is working as per the specification provided. Upkeep all equipment to its proper and uninterrupted working performance. Coordinate with the service provider on time while on warranty period for uninterrupted Ensure patient safety through periodical safety checks. Ensure patient safety through periodical safety checks. Ensure the retrieval possibilities of condemned items. Updating the knowledge, latest technology by attending seminar, conference etc. Identifying the critical equipment and maintaining the back up. Maintaining the AMC, CMC etc updated. Help to implement the NABH STANDARDS in the department. Participate Materio-vigilance programme of India (MvPI). Help to the Prepare department QI Work with medical staff and analyses their technical problems and decide which engineered equipment or technical services might improve their situation. Inspect completed installations and observe operations, to ensure conformance to design and equipment specifications and compliance with operational and safety standards. Involves and participates hospital continual quality improvement process. Participates and contributes to the educational activities in the service. Participates and contributes to all the Quality Improvement activities of the service. Adheres to the rules and regulations of the SRH and assures that work performed is in keeping with the established standards of the institution. Performs any other tasks and duties appropriate to his/her real of knowledge, skills and experience as required by the management. Preparation of Periodic Preventive Maintenance plan and effective implementation. Co-ordinates with external service engineers when coming for equipment service (both preventive and breakdown service i.e, AMC & CMC). Co-ordinate for timely completion of breakdown work order & submission of closure report. Coordinate to reduce the TAT for breakdown for critical equipments. Effective monitoring of returnable equipments and ensure all are received. Installing, troubleshooting, repairing and performing preventive maintenance on all medical instrumentation. Responsible for the periodic preventive maintenance and repair of all systems within the medical facilities. Providing on-site training to physician, nurses and other supportive staff on operation maintenance and limited troubleshooting. Responsible for delivering both timely and effective repairs as well as adequate training of operators to ensure optimal system performance, resulting in internal customer satisfaction. Preferred candidate profile Must have Bachelor Degree in Biomedical Engineering BE / B.Tech (Biomedical) and work experience in a Multispecialty Hospital Must have minimum 2+ yrs of Experience in Biomedical Engineering. Must have an Ability to maintain OT and ICU equipment's. Accurate Documentation skills. Good Communication & Liaison skills. Job Type: Full-time Pay: From ₹18,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person Expected Start Date: 12/07/2025

Job Information Date Opened 06/30/2025 Job Type Full time Industry Software Product City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600017 Job Description Pando (www.pando.ai) is pioneering the future of autonomous logistics with innovative AI capabilities. Trusted by Fortune 500 enterprises with global customers across North America, Europe, and Asia Pacific regions, we are leading the global disruption of supply chain software, with our AI-powered, no-code, & unified platform empowering Autonomous Supply Chain®. We have been recognized by Gartner for our transportation management capabilities, by the World Economic Forum (WEF) as a Technology Pioneer, by G2 as a Market Leader in Freight Management, and named one of the fastest-growing technology companies by Deloitte. Why Pando? We are one of the fastest growing companies reimagining supply chain and logistics for Manufacturers & Retailers scaling up globally. We are a growing team, unrelenting and enthusiastic about building great products. We have folks who are pragmatic, imaginative or a quirky combination of both. We yearn for purpose in our work & support each other to grow. Role We are looking for a capable python developer with 2-3yrs experience to optimize our web-based application performance. You will be collaborating with our application developers, designing back- end components, and integrating data storage, 3rd party service providers with the web application and related solutions. Responsibilities Develop, test, and maintain efficient, reusable, and reliable Python code using Django framework. Design and implement data models and database schemas using SQL for storage and retrieval of application data. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Work closely with data engineers and analysts to understand requirements and implement data processing pipelines using Pandas and PySpark. Optimize application performance, scalability, and reliability through code refactoring, database optimization, and system architecture improvements. Debug and resolve technical issues reported in production environments. Stay updated with emerging technologies and industry best practices to continuously improve software development processes and methodologies. Requirements 2 to 3 years of experience. Exceptional analytical and problem-solving aptitude. Interpersonal, communication, and collaboration skills. Bachelor's degree in computer science, information science, or similar. Hands-on experience in Python (Django, SQL, Pandas, Pyspark)

JOB DESCRIPTION Role : Associate - Administration Experience : 2 to 5 Years Job Location : Chennai About OJ Commerce: OJ Commerce (OJC), a rapidly expanding and profitable online retailer, is headquartered in Florida, USA, with a fully-functional office in Chennai, India. We deliver exceptional value to our customers by harnessing cutting-edge technology, fostering innovation, and establishing strategic brand partnerships to enable a seamless, enjoyable shopping experience featuring high-quality products at unbeatable prices. Our advanced, data-driven system streamlines operations with minimal human intervention. Our extensive product portfolio encompasses over a million SKUs and more than 2,500 brands across eight primary categories. With a robust presence on major platforms such as Amazon, Walmart, Wayfair, Home Depot, and eBay, we directly serve consumers in the United States. As we continue to forge new partner relationships, our flagship website www.ojcommerce.com, has rapidly emerged as a top-performing e-commerce channel, catering to millions of customers annually. Job Summary We’re looking for a reliable and proactive Office Administrator to keep our workplace running smoothly. You’ll be the go-to person for all things office-related — from managing vendors and supplies to coordinating housekeeping and supporting basic HR and accounts tasks. If you enjoy keeping things organised and making sure everything’s in place, this role is for you. Responsibilities : Oversee day-to-day office operations to ensure everything runs smoothly and efficiently. Coordinate with building management and promptly resolve any maintenance issues. Supervise housekeeping staff, maintaining a clean, organized, and guest-ready office environment at all times. Schedule deep cleaning on alternate Saturdays and ensure the housekeeping team is well-trained through the vendor. Monitor office supplies and restock proactively to avoid shortages. Maintain accurate and accessible records — both physical and digital — for easy retrieval when needed. Manage relationships with vendors for maintenance, IT, security, and other office services. Source and negotiate with cost-effective vendors that meet our quality and budget standards. Skills : Bachelor’s degree (B.Com, BBA, BA preferred). 2 to 5 years of experience in office admin or similar role. Comfortable communicating in English and Tamil . Organised, detail-oriented, and able to juggle multiple things at once. Hands-on with MS Office tools (Word, Excel, Outlook); knowledge of Office 365 is a bonus. A discreet and trustworthy professional who can handle sensitive information with care. Basic understanding of HR and admin processes. Experience in Indian corporates or mid-sized firms. Familiarity with statutory compliance (PF, ESIC, TDS documentation, etc.) What we Offer Competitive salary Medical Benefits/Accident Cover Flexi Office Working Hours Fast paced start up

Job Information Department Name RULES Date Opened 04/10/2025 Department IP Services Job Type Permanent Industry Intellectual property City Noida State/Province Uttar Pradesh Country India Zip/Postal Code 201301 About Us MaxVal started as an IP services company in 2004, with a keen focus on efficiency, cost-effectiveness, and continuous improvement through metrics-based processes. Our focus on these core values led to the tech-enablement of our offerings even before this buzzword became an industry standard. Over the years, MaxVal developed many internal applications to increase our quality and efficiency, and customer satisfaction. As these systems grew and became more sophisticated, we have productized them and offered them to our clients. Today, MaxVal serves over 600 clients across the full IP life cycle with the industry’s leading products and services. Our 725 plus employees represent the most IP and tech-savvy individuals in the industry." At MaxVal, we do the right things and innovate ceaselessly as a winning team to achieve customer success and employee success. Job Description Job Summary The Project Lead will be responsible for managing work allocation, tracking project progress, conducting quality audits, and ensuring that the team meets deadlines. This role also involves handling ad-hoc projects and auditing standard documentation to maintain consistency and quality in all aspects of IP rule development. Key Responsibilities Quality Audits and Compliance: Conduct regular quality audits of IP rule documentation and related processes to ensure adherence to established standards and best practices. Ad-Hoc Project Management: Lead and manage ad-hoc projects related to enhancement of Symphony features. Coordinate resources and timelines for Ad-hoc projects, ensuring they are completed successfully and within specified deadlines. Maintain Documentation and Reports containing daily progress of ongoing projects and rule development initiatives, ensuring that milestones and deadlines are met. Track the status of each project, providing regular updates to management and stakeholders regarding timelines and deliverables. Prosecution, Annuity and Renewal Fee management – Oversee the timely updating of the system with relevant fee information and regularly validate fee data to ensure accuracy. Agent management – Act as a liaison to obtain prosecution, annuity and renewal fees along with contractual agreements where necessary; regularly monitor the agent for performance with the internal teams. MaxForms Management – Manage the MaxForms tool, which enables users to easily fill, validate, and generate official PTO forms in an automated manner. Documentation and Reporting: Audit and review standard documentation related to IP rule development, ensuring that all materials are up-to-date, accurate, and aligned with current practices. Review rules set for accuracy, consistency, and compliance, identifying areas for improvement and recommending corrective actions. Ensure that the team follows quality control procedures to maintain the highest standards in rule creation, testing, and deployment. Ensure that all documentation is properly organized and stored for easy retrieval by relevant teams and stakeholders. JIRA Management - Manage the intake of all tickets from the queue and assign them to the appropriate team member based on the nature of the request. Preferred Qualifications 5+ years of experience in IP, project management, or a related role, with at least 2 years in a leadership position. Strong knowledge of intellectual property laws and regulations. Experience in managing cross-functional teams and complex projects with multiple stakeholders. Familiarity with IP management databases, software tools, and rule-based systems. Excellent organizational and time-management skills, with the ability to manage multiple priorities simultaneously. Strong attention to detail, with a focus on maintaining high standards for quality and accuracy. Exceptional communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders. Proficiency in Microsoft Office Suite and project management tools (e.g., Jira). Desirable Skills: Bachelor’s degree in law, Business Administration, or a related field preferable. A focus on IP is highly desirable. Experience with Agile project management methodologies. Knowledge of IP rule engines and IP management systems. Experience with process improvement methodologies, such as Six Sigma or Lean. Requirements Preferred Qualifications 5+ years of experience in IP, project management, or a related role, with at least 2 years in a leadership position. Strong knowledge of intellectual property laws and regulations. Experience in managing cross-functional teams and complex projects with multiple stakeholders. Familiarity with IP management databases, software tools, and rule-based systems. Excellent organizational and time-management skills, with the ability to manage multiple priorities simultaneously. Strong attention to detail, with a focus on maintaining high standards for quality and accuracy. Exceptional communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders. Proficiency in Microsoft Office Suite and project management tools (e.g., Jira). Desirable Skills: Bachelor’s degree in law, Business Administration, or a related field preferable. A focus on IP is highly desirable. Experience with Agile project management methodologies. Knowledge of IP rule engines and IP management systems. Experience with process improvement methodologies, such as Six Sigma or Lean.

Objective: Ensure robust financial operations, full compliance, and process excellence to support scalable growth and impact at our social impact-martech startup Company Overview The House of DoBe is your new purpose engine. We’re building a community that fuels pro-sociability: your yin yang with a big bang, meaning, small deeds that matter to you, shared causes you have always held close to your head and heart, and the quiet reengineering of our cognitively overloaded culture with prosocial motivation, ability, and skill. Do a little. To do a lot. If you are a real doer who still believes in simple human values of K.A.R.M.A.® Kindness, Altruism, Righteousness, Mindfulness, and Authenticity, join us to aggregate, re-engineer, and incentivize human pursuit of pro-sociability for a purpose economy. We are solving for the lost or otherwise ignored 21st-century skill of civic empathy in the times of fast technology. We are powered by Impresario Global (I.M), a Social Impact MarTech startup in the business of cause amplification. Website- , Key Responsibilities: Financial Operations & Oversight Maintain and monitor day-to-day accounting operations (bookkeeping, reconciliation, ledgers). Account reconciliations, vendor payments, and documentation. Support end-to-end P&L tracking, including budget vs. actual reporting, variance analysis, and financial forecasting. Maintain physical records in a systematic and well-organized manner to facilitate easy retrieval and compliance. Statutory & Regulatory Compliance Ensure timely and accurate filings under Companies Act with MCA (Ministry of Corporate Affairs). Oversee statutory audits, internal audits, and facilitate coordination with auditors and consultants. Ensure full compliance with Income Tax, TDS, and GST regulations including monthly filings and annual returns. Support annual reporting obligations and Secretarial Audit, maintaining Registers and Minutes as required under the Companies Act. Legal & Shareholding Matters Maintain up-to-date documentation and compliance around Shareholder Agreements (SHA) and Board Resolutions. Liaise with legal and compliance advisors to ensure alignment on corporate governance protocols. Maintain cap tables, investor documents, and support fundraising compliance as needed. Legal Drafting – Board Resolutions, Letters, Communication with government authorities. Business Process Excellence Design and implement SOPs for recurring financial and compliance tasks. Identify bottlenecks in finance and compliance workflows and initiate process improvements. Prepare monthly dashboards and MIS reports for leadership with financial and compliance KPIs. Indicative KPIs KPI Metric & Target Financial Close Cycle Time ≤ 5 business days after month-end close Reconciliation Accuracy ≥ 99 % of accounts reconciled with zero discrepancies Regulatory Filing Punctuality 100 % on-time filings for MCA, GST, Income Tax, and TDS SOP Adoption Rate ≥ 90 % of routine tasks covered by documented SOPs MIS Report Delivery 100 % of monthly dashboards submitted by the 5th of each month Qualifications & Skills Must-Haves: Professional certification – CA or CS 1-3 years of experience. Working knowledge of Tally, Zoho Books, QuickBooks, or other ERP systems is a plus. Proficient in handling GST, IT returns, MCA filings, and banking documentation. Sound understanding of Companies Act, Income Tax Act, GST Act and compliance frameworks. Strong analytical, organizational, and communication skills. Integrity, attention to detail, and a proactive problem-solving attitude. Culture Fit Value Observable Behaviours Integrity Upholds the highest ethical standards; ­accurate and honest. Process-Oriented Values structure and documentation; follows workflows rigorously. Ownership Takes initiative to identify gaps and drive solutions. Collaborative Works seamlessly with finance, legal, and operations teams. Growth Mindset Welcomes feedback; continuously refines skills and processes. Location: Onsite in Lucknow Work Timings: 9:30 AM to 6 PM, Monday to Friday from office Reporting: Chief of Staff, Founders Office Job Type: Full-time Pay: ₹20,000.00 - ₹25,000.00 per month Schedule: Day shift Monday to Friday Work Location: In person

o Providing application forms to applicants and maintenance of up to date record of applications database to ensure proper filing and retrieval of CVs from database. o Coordinating recruitment process activities such as lining up suitable candidates and calling them for interviews, scheduling interviews, checking original documents, etc o Maintaining personnel file of every employee both in the soft as well as hard copy files and updating them as and when required. o Carrying out joining formalities like issuing appointment letter, uniform, ID card, orientation of the hospital and other formalities o Updating the time machine with finger prints and other details of new joinee. o Coordinate interdepartmentally for conducting HR induction trainings o Doing monthly induction training for induction of the new joinees o Update the induction presentation from time to time as per requirement o Preparing offer letters, appointment letters, increment letter, experience letters, salary certificates, appreciation letters,circulars, memos, notice etc. as per the instruction of the Head – HR/CEO. o Preparation of Full & final settlement, acceptance of resignation, of Hospital employees leaving the organization o Ensuring exit interviews of candidates are conducted and maintaining the data record of same. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Ability to commute/relocate: Shahibaug, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: HR: 1 year (Preferred) total work: 2 years (Preferred) Language: English (Preferred) Work Location: In person

* Providing application forms to applicants and maintenance of up to date record of applications database to ensure proper filing and retrieval of CVs from database. * Carrying out joining formalities like issuing appointment letter, uniform, ID card, orientation of the hospital and other formalities * Maintaining personnel file of every employee both in the soft as well as hard copy files and updating them as and when required * Updating the time machine with finger prints and other details of new joinees * Coordinate interdepartmentally for conducting HR induction trainings * Assist to prepare documents and letters related to HR * Collecting shift schedule from departments and updating the same in the time office machines & software * Ensuring exit interviews of candidates are conducted and maintaining the data record of same Job Type: Full-time Pay: ₹10,000.00 - ₹20,000.00 per month Experience: total work: 1 year (Preferred) Work Location: In person

Followings will be the Core Job Responsibilities of the position holder: 1. Responsible for Operation, cleaning and primary maintenance of negative isolator, Vibro sifter, Bin blenders and all other GEA granulation line equipment. 2. Responsible for recording of activity in logbooks, Batch manufacturing record & complete documentation as required in the manufacturing of product and the cleaning of facilities and equipment, following cGMP’s and good documentation practices. 3. To perform all in-process checks and monitoring of all intermediate processes in granulation. 4. To select recipes and set process parameters in Blender HMI & ensure its correctness before blender revolution. 5. Responsible for Issuance, utilization, cleaning, and retrieval of sieves and proper handling of machine change parts with its inventory. 6. Responsible for set up, changeover, and operation of various manufacturing equipment’s but not limited to granulation department. 7. Responsible for reporting and/or escalating any conditions or problems that may affect the quality or integrity of product to supervisor and HOD production. 8. Responsible for maintaining a neat, clean and safe working environment always and notifies supervisor immediately of any safety concerns, accidents or injuries observed. 9. To ensure all in-process checks and monitoring of all intermediate processes, to check set process parameters in PLC/SCADA as per BMR before machine run in granulation area. 10. Compliance of current Good Manufacturing Practices in the Hormone Facility & to follow GDP with data-integrity compliance. 11. To Complete the training and training record as per stipulated time. 12. Responsible for preparation and usage of Disinfectant and cleaning agent solution as per defined procedures. 13. To adhere to all Company policies, procedures, SOPs and Safety regulations.

Job title : Executive Assistant Location: Kolkata (Local candidate only) Terms: Full Time Required position: 1 About Roles & Responsibilities : -- Administrative Support: Provide administrative support to executives, including managing schedules, organizing meetings, and handling correspondence. Assist in the coordination and management of special projects. -- Calendar Management: Manage and coordinate the executive's calendar, schedule appointments, and arrange meetings, ensuring that the executive is aware of their daily agenda. Prepare meeting agendas, materials, and presentations. Attend meetings, take minutes, and follow up on action items.. -- Communication: Act as a liaison between the executive and other staff members, clients, and external stakeholders.Draft emails, memos, reports, and other documents on behalf of the executive. -- Information Management: Organize and maintain files, records, and documents.Retrieve information as needed and ensure that sensitive information is handled confidentially. -- Professionalism: Demonstrate a high level of professionalism and discretion. Executive assistants often have access to sensitive information and must maintain confidentiality. -- Relationship Building: Build and maintain positive relationships with colleagues, clients, and other stakeholders. Act as a representative of the executive and the organization. -- Documentation and Confidentiality: Maintain accurate records and documentation. Create organized filing systems for easy retrieval of information. Uphold and maintain a high level of confidentiality. Handle sensitive information with discretion. -- Professional Development & Problem-Solving: : Participate in relevant training and development opportunities. Stay informed about industry trends and best practices. Exhibit the ability to proactively identify and resolve issues. Anticipate needs and provide solutions before problems arise. -- Travel Management: Coordinate travel arrangements efficiently. Ensure all travel logistics are well-planned and executed. -- Feedback and Relationship Building: Seek feedback from the executive for continuous improvement.Build positive relationships with colleagues and external contacts. Qualifications: - Bachelors degree in business administration or related field preferred. Strong written and verbal communication skills. Should be fluent in languages - English, Hindi, and Bengali. Proficient in Word, Excel, PowerPoint, Outlook etc. Job Type: Full-time Pay: Up to ₹50,000.00 per month Schedule: Day shift Work Location: In person

Hiring For AI Enginner - Python Developer :- Job Description:- We are seeking a talented Python Developer with hands-on experience in AI chatbot development and familiarity with Model Context Protocol (MCP) to join our AI team. You will be responsible for developing intelligent, context-aware conversational systems that integrate seamlessly with our internal knowledge base and enterprise services. The ideal candidate is technically proficient ,proactive, and capable of translating complex AI interactions into scalable backend solutions. Key Responsibilities 1. Design and develop robust AI chatbots using Python and integrate them with LLM APIs(e.g., OpenAI, Google AI, etc.). 2. Implement and manage Model Context Protocol (MCP) for optimize context injection, session management, and model-aware interactions. 3.Build and maintain secure pipelines for knowledge base access that allow the chatbot to accurately respond to internal queries. 4.Work with internal teams to define and evolve the contextual metadata strategy (roles, user state, query history, etc.). 5.Contribute to internal tooling and framework development for contextual AI applications. Required Skills & Experience 1. 3+ years of professional Python development experience. 2. Proven track record in AI chatbot development, particularly using LLMs. 3. Understanding of Model Context Protocol (MCP) and its role in enhancing AI interactionfidelity and relevance. 4. Strong experience integrating with AI APIs (e.g., OpenAI, Azure OpenAI). 5. Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector-basedsearch (e.g., Pinecone, Weaviate, FAISS). 6. Experience designing systems that ingest and structure unstructured knowledge (e.g., PDF,Confluence, Google Drive docs). 7. Comfortable working with RESTful APIs, event-driven architectures, and context-awareservices.8.Good understanding of data handling, privacy, and security standards related to enterpriseAI use. Job Location: Indore Joining: Immediate Share resume at talent@jstechalliance.com or can Contact Here :- 0731-3122400 WhatsApp : 8224006397 Job Type: Full-time Application Question(s): Immediate Joiner Have you completed your Bachelor's\Master's Degree? Experience: Python: 3 years (Required) Model Context Protocol (MCP): 3 years (Required) LLM APIs: 3 years (Required) Artificial Intelligence: 2 years (Required) Location: Vijay Nagar, Indore, Madhya Pradesh (Required) Work Location: In person

Job Title: Data Scientist Job Type: Full-time Location: Bengaluru Notice Period: 15 days or immediate joiner Experience: 0-2 Years Job Summary We seek a highly skilled Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) , along with hands-on experience in building and deploying conversational AI/chatbots . The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications. Key Responsibilities Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph. Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc., for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up-to-date with the latest advancements in LLM architectures, frameworks, and AI trends. Required Skills & Qualifications 0-2 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph. Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models. Understanding of Prompt Engineering and Fine-tuning LLMs. Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good To Have Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.). Knowledge of Knowledge Graphs and Symbolic AI. Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques. Research experience or published work in LLMs, NLP, or Generative AI is a plus.

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid) Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLM’s use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the team’s and company’s benefits. “Think outside the box” mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially “hallucinate” and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid) Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLM’s use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the team’s and company’s benefits. “Think outside the box” mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially “hallucinate” and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 4.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Forbes Advisor) What do you need for this opportunity? Must have skills required: TensorFlow, PyTorch, rag, LangChain Forbes Advisor is Looking for: Location - Remote (For candidate's from Chennai or Mumbai it's hybrid) Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most. At Marketplace, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance, so they can make informed decisions they feel confident in and get back to doing the things they care about most. We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Marketplace boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Marketplace’s global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel. The Data Extraction Team is a brand-new team who plays a crucial role in our organization by designing, implementing, and overseeing advanced web scraping frameworks. Their core function involves creating and refining tools and methodologies to efficiently gather precise and meaningful data from a diverse range of digital platforms. Additionally, this team is tasked with constructing robust data pipelines and implementing Extract, Transform, Load (ETL) processes. These processes are essential for seamlessly transferring the harvested data into our data storage systems, ensuring its ready availability for analysis and utilization. A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLM’s use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining. Responsibilities: Develop methods to leverage the potential of LLM and AI within the team. Proactive at finding new solutions to engage the team with AI/LLM, and streamline processes in the team. Be a visionary with AI/LLM tools and predict how the use of future technologies could be harnessed early on so that when these technologies come out, the team is ahead of the game regarding how it could be used. Assist in acquiring and integrating data from various sources, including web crawling and API integration. Stay updated with emerging technologies and industry trends. Explore third-party technologies as alternatives to legacy approaches for efficient data pipelines. Contribute to cross-functional teams in understanding data requirements. Assume accountability for achieving development milestones. Prioritize tasks to ensure timely delivery, in a fast-paced environment with rapidly changing priorities. Collaborate with and assist fellow members of the Data Research Engineering Team as required. Leverage online resources effectively like StackOverflow, ChatGPT, Bard, etc., while considering their capabilities and limitations. Skills And Experience Bachelor's degree in Computer Science, Data Science, or a related field. Higher qualifications is a plus. Think proactively and creatively regarding the next AI/LLM technologies and how to use them to the team’s and company’s benefits. “Think outside the box” mentality. Experience prompting LLMs in a streamlined way, taking into account how the LLM can potentially “hallucinate” and return wrong information. Experience building agentic AI platforms with modular capabilities and autonomous task execution. (crewai, lagchain, etc.) Proficient in implementing Retrieval-Augmented Generation (RAG) pipelines for dynamic knowledge integration. (chromadb, pinecone, etc) Experience managing a team of AI/LLM experts is a plus: this includes setting up goals and objectives for the team and fine-tuning complex models. Strong proficiency in Python programming Proficiency in SQL and data querying is a plus. Familiarity with web crawling techniques and API integration is a plus but not a must. Experience in AI/ML engineering and data extraction Experience with LLMs, NLP frameworks (spaCy, NLTK, Hugging Face, etc.) Strong understanding of machine learning frameworks (TensorFlow, PyTorch) Design and build AI models using LLMs Integrate LLM solutions with existing systems via APIs Collaborate with the team to implement and optimize AI solutions Monitor and improve model performance and accuracy Familiarity with Agile development methodologies is a plus. Strong problem-solving and analytical skills with attention to detail. Creative and critical thinking. Ability to work collaboratively in a team environment. Good and effective communication skills. Experience with version control systems, such as Git, for collaborative development. Ability to thrive in a fast-paced environment with rapidly changing priorities. Comfortable with autonomy and ability to work independently. Perks: Day off on the 3rd Friday of every month (one long weekend each month) Monthly Wellness Reimbursement Program to promote health well-being Monthly Office Commutation Reimbursement Program Paid paternity and maternity leaves How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Key Responsibilities Design, build, and deploy AI agents capable of performing autonomous tasks and interacting with users or systems, enhancing operational efficiency and decision-making. Implement generative AI solutions and multi-agent systems to drive business innovation, improve automation, and deliver creative problem-solving capabilities across applications. Work closely with cross-functional teams to define technical requirements, specifications, and ensure smooth integration of AI solutions into existing systems and workflows. Manage vector databases (e.g., Pinecone, Chroma DB, Milvus) for data ingestion, storage, and optimized query execution, focusing on high performance for similarity search and fast retrieval. Develop advanced retrieval strategies and prompt engineering techniques to enhance the capabilities of generative models, ensuring efficient and accurate data extraction and model performance. Experience & Skills Education Qualification : Bachelor/Master degree in computer science or AI or relevant. Experience: 2-3+ years in software engineering, with 2+ years in AI and 1+ year in generative AI. Proficient in Python, JavaScript, API Development, AWS/Azure & optimizing database like SQLite and SQL Experience with LangChain, LangGraph, LlamaIndex, vector databases, and RAG systems for model integration. We believe in passion and potential! Even if you don't meet all the listed criteria, if you feel you’re a strong fit for the role, we encourage you to showcase your talents through awards you've won or exciting projects you've worked on. We are here to attentively consider and evaluate the contributions you have to offer.

This job is with Clifford Chance, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Description The role The Global Business Support (GBS) function provides high-quality support to Clifford Chance offices worldwide through its various teams, including Document Production, Design Studio, Junior Executive Assistants, Virtual Assistants, and World Firm EAs. As an Executive Assistant (EA), you will provide dedicated support to allocated GBS stakeholders, assisting with a range of executive and administrative tasks. The role requires flexibility, with key working hours spanning early mornings and afternoons. Adjustments to working hours may be expected upon reasonable request. Who You Will Work With You will report to the Senior Manager, VA Team, while working collaboratively with colleagues across London, Delhi, Hyderabad, Newcastle, and Warsaw, ensuring a seamless delivery of service across locations. What You Will Be Responsible For You will be responsible for providing comprehensive executive assistance to your assigned stakeholders What You Will Do As an EA, you will provide executive assistance and support to the allocated Stakeholders, including, and not limited to: Inbox Management: Prioritise and streamline email correspondences, keeping the inbox organised and junk-free. File emails systematically to prevent overflow and ensure easy retrieval. Respond on behalf of the stakeholder when required. Calendar & Meeting Management: Proactively plan and manage dynamic calendars, resolving scheduling conflicts efficiently. Arrange meeting logistics, including agendas, pre-reads, and coordination. Attend meetings, take minutes, and circulate action points in a timely manner. Travel Management: Organise comprehensive travel itineraries, including flights, rail, taxis, hotels, visas, and travel insurance. Ensure calendars are updated with logistical details and maintain structured travel records. Expense & Budget Management: Accurately and promptly submit claims (expenses, mileage, etc.) with quick turnaround times. Assist with invoice processing, purchase orders, and budget tracking as required and delegate to Administrative Assistants appropriately. Documentation & Data Management: Prepare and maintain accurate documentation, including reports, presentations, and correspondences. Manage document control via iManage and other relevant platforms, ensuring efficient record-keeping. Project Coordination: Support stakeholders by researching, compiling, and analysing project data. Draft and review status reports, escalate risks and issues, and monitor project milestones. Make informed decisions independently to meet critical deadlines. Confidentiality & Integrity: Maintain the highest level of discretion and professionalism. Adhere to policies, procedures, and regulatory requirements while fostering trust and reliability in stakeholder interactions. Collaboration & Team Engagement: Work closely with stakeholders, ensuring seamless communication. Actively contribute to the VA Team in all offices, assist in onboarding new team members, and provide absence cover when needed. Ad-Hoc Support: Assist with various ad-hoc tasks, including onboarding new hires, managing distribution lists, organising off-sites and team gatherings, and supporting stakeholder upskilling initiatives Qualifications Your experience Qualifications & Experience Bachelor's degree required; Master's/MBA from a reputed institute preferred. 8+ years of experience, preferably in a multinational organisation with cross-cultural exposure. Proven experience supervising teams in a professional services environment, with a strong focus on service delivery and performance management. Prior experience supporting senior leadership, including minute-taking, presentation creation, and managing Excel-based reports. Project or programme management experience is desirable; coaching will be provided if needed. Stakeholder Management Strong stakeholder management skills, with the ability to influence and challenge at all levels. Comfortable working across international, regional, and local contexts. Structured and strategic approach to balancing long-, medium-, and short-term team priorities. Strong organisational and delegation skills. Communication & Collaboration Flexible and effective communicator-both verbal and written. Maintains regular and transparent communication with managers and colleagues. Approachable, helpful, and adaptable in a dynamic team environment. Analytical & Problem Solving Strong analytical skills, with the ability to gather, interpret, and present data insights. Excellent problem-solving ability; capable of breaking down complex issues and identifying solutions. Makes sound decisions based on available information or guidance. Proactively identifies opportunities to improve service quality based on stakeholder feedback. Work Ethic & Professionalism Demonstrates resilience and the ability to manage competing deadlines under pressure. Quick learner with a proactive, results-driven mindset. Able to manage workload independently and as part of a team. Exceptional attention to detail in all tasks and deliverables. Confident handling new and unfamiliar situations. How We Will Support You From your first day with us, you will have varied opportunities to continuously grow and development your skills and knowledge. From formal training, informal coaching and mentoring through to skills-based and technical training and on the job learning. Company Description Who we are We are one of the largest international law firms in the world. With over 30 offices across the globe, we strive to exceed the expectations of our clients, providing them with the highest-quality advice and legal insight, which combines the firm's global standards with in-depth local expertise. Our firm, work and people span jurisdictions, cultures, and languages. We offer our clients a truly international perspective. We believe every career should be rewarding and stimulating - full of opportunities to learn, thrive, and grow. That's why we're so proud of our inclusive, friendly, and team-based approach to work. You'll find our clients in commercial and industrial sectors, the financial investor community, governments, regulators, trade bodies, and not-for-profit organisations. But no matter who they are or why they've reached out to us, we provide a world-class service every step of the way. And that's possible thanks to the entrepreneurial spirit and conscientious approach to work that you'll find across all of our teams. Whichever area of the business you join, you'll become an integral part an innovative, diverse and ambitious team of people. Clifford Chance is a place where the brightest minds and the best of colleagues meet. Additional Information Equal opportunities At Clifford Chance, we understand that our true asset is our people. Inclusion is good for our team and their families, our firm and society. We are committed to treating all employees and applicants fairly and equally regardless of their gender, gender identity and expression, marital or civil partnership status, race, colour, national or ethnic origin, social or economic background, disability, religious belief, sexual orientation, or age. This applies to recruitment and selection, terms and conditions of employment including pay, promotion, training, transfer and every other aspect of employment. We have a variety of flourishing employee networks. These networks are a place for colleagues to share experiences and advocate for change wherever they see an opportunity for improvement. Our goal is to deliver an equality of opportunity, an equality of aspiration and an equality of experience to everyone who works in our firm. Find out more about our inclusive culture here

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. Job Summary As a SCADA Specialist at Xylem, you will play a fundamental role in the automation and optimization of the management processes of the integral water cycle. Your mission will be to integrate data from operational technologies (OT) and the Industrial Internet of Things (IIOT) and effectively represent them in SCADA systems, contributing to digital transformation and sustainability in water management. Responsibilities Design and develop automation systems using knowledge of automation and robotics engineering principles. Integrate OT and IIOT data into SCADA systems for real-time monitoring and control. Configure and manage OPC UA servers and clients to ensure secure and efficient data exchange. Utilize MySQL for data storage, retrieval, and analysis in automation environments. Apply programming fundamentals to develop scripts and logic for automation tasks. Implement and consume REST APIs for system integration and data exchange. Design intuitive and functional SCADA screens (HMI) for effective process visualization. Work with SCADA platforms such as Wonderware, Ignition, and WinCC, and support migration to proprietary platforms. Lead commissioning activities, ensuring systems are tested and validated according to protocols. Monitor system performance during implementation and troubleshoot issues as they arise. Diagnose and resolve technical issues in automation and SCADA systems. Collaborate with multidisciplinary teams to ensure seamless integration of automation systems. Communicate effectively with stakeholders and provide technical support during project execution. Configure and manage industrial communication protocols including Modbus, Profibus, OPC DA, and others. Provide training to customer personnel on system operation and maintenance. Analyze operational data and generate reports to support decision-making and continuous improvement. Ensure compliance with industry standards and safety regulations in all automation projects High Impact Behaviors Continuous Professional Development: Commitment to learning and staying updated with industry trends. Collaboration and Teamwork: Ability to work effectively in diverse teams. Results-Driven: Focused on delivering high-quality outcomes efficiently. Qualifications Bachelor’s degree in Automation and Robotics, Automatic Engineering, or a related field. Minimum 4 years of experience in automation, SCADA, or related domains. Proven experience in OT and IIOT data integration and SCADA system development. Strong knowledge of OPC UA (server and client configuration). Proficiency in MySQL and basic programming concepts. Familiarity with REST API fundamentals. Experience in SCADA screen design and HMI development. Understanding of industrial communication protocols such as Modbus, Profibus, and OPC DA. Strong problem-solving skills and ability to work in multidisciplinary teams. Willingness to travel for field commissioning and customer support. Excellent communication and training skills. Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.

Job Title: Data Scientist Location: Noida Type: Full-Time Experience Level: 1–2 years Industry: Artificial Intelligence, Machine Learning, Data Science About the Role We are looking for a self-motivated Data Scientist to join our AI team focused on GenAI applications. We work at the intersection of multi-modal modeling, Retrieval-Augmented Generation (RAG), and real-time machine learning systems. You’ll collaborate with a high-impact team to design, prototype, and deploy next-generation AI solutions, especially around document understanding and multi-modal tasks. Key Responsibilities Design and implement state-of-the-art GenAI solutions, involving multi-modal, document understanding models and agents. Build and optimize RAG pipelines , including knowledge of various RAG architectures. Develop and maintain agentic workflows using tools like LangGraph, LangChain . Work with large-scale datasets and ensure efficient data processing pipelines. Perform statistical analysis, algorithm development, and performance tuning. Working with opensource LLMs and deploying them on serving frameworks such as sglang and vllm. Stay up to date with the latest developments in GenAI and ML, and actively contribute to knowledge sharing. Required Qualifications Bachelor’s degree (Master’s preferred) in Computer Science, Data Science, AI/ML, or a related field. 1–2 years of experience working in machine learning, data science, or AI roles. Strong command of Python and familiarity with R or other scripting languages. Hands-on experience with deep learning , transformer-based models , and multi-modal learning . Proficiency in AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Strong understanding of statistics, linear algebra, and probability theory. Experience working with cloud environments , preferably Azure . Exposure to OpenAI , Anthropic , Mistral , or similar APIs and deployment of open-source models (LLaMA, MPT, etc.). Demonstrated experience in document AI , vision-language models , or OCR-based understanding systems . Preferred Skills Experience with LangGraph , CrewAI , Autogen , or similar orchestration frameworks. Working knowledge of vector databases (e.g., Qdrant, Weaviate, Pinecone) and embedding search techniques . Exposure to Kubernetes , Docker , or ML model deployment workflows . Curiosity-driven mindset with a passion for learning and experimenting with the latest in AI research. Why Join Us? Be part of a team working on powerful AI applications Access to cutting-edge tools and open models Flexible working hours Supportive environment that encourages innovation, research, and upskilling

Minimum qualifications: Bachelor’s degree, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Experience in leadership and management processes for guiding engineering teams in dynamic environments. Experience in projects that leverage machine learning. Excellent communication and teamwork skills, fostering collaboration. About The Job Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. As a Software Engineering Manager, you will plan and manage a team at the heart of one of Core Data's primary initiatives to transform data analysis with Artificial Intelligence (AI). You will develop and manage a team that delivers on synthetic data solutions, agentic workflows for data, and the implementation of AI capabilities for data-focused use cases. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Responsibilities Drive innovation at the intersection of Artificial Intelligence (AI)/Machine Learning (ML) and data engineering through proactive exploration. Shape and enhance the AI4SQL roadmap for impact. Attract and develop talent within the team. Lead and manage a team of engineers focused on developing AI use cases for Core data team. Collaborate with partner teams and stakeholders to gain insights into their needs. Advise the Core Data AI steering committees on wins, learnings, and opportunities within the AI4SQL space. Research and learn about AI innovations happening within and outside Google. 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 .