4114 Retrieval Jobs - Page 19

Hello Connections, Our client is prominent Indian multinational corporation specializing in information technology (IT), consulting, and business process services and its headquartered in Bengaluru with revenues of gross revenue of ₹222.1 billion with global work force of 234,054 and listed in NASDAQ and it operates in over 60 countries and serves clients across various industries, including financial services, healthcare, manufacturing, retail, and telecommunications. The company consolidated its cloud, data, analytics, AI, and related businesses under the tech services business line. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru, kochi, kolkatta, Noida. Job Title: Mainframe cobol developer · Location: bangalore,chennai,hyderabad,noida,coimbatore · Experience: 5+ Year to 9year(relevant in mainframe cobol developer 5Year) · Job Type : Contract to hire. Work Mode : Hybrid(3day) Office Timing : 1.00PM to 10.30PM · Notice Period:- Immediate joiners(who can able to join july 3rd week) Mandatory Skills: Mainframe Cobol Developer, JCL, DB2, VSAM, CICS (relevant in mainframe cobol developer 6 Year) Need to work from 1.00 PM to 10.30 PM IST Agile Software Development (typically Scrum, Kanban, Safe) Banking Domain should be atleast 4 years of experience L1 Virtual interview - 28th June(saturday) Roles and Responsibilities: Responsibilities: COBOL Programming: Develop, maintain, and enhance COBOL applications that meet business requirements. Write, test, and debug COBOL code for high-performance batch and online processing. Modify and update existing COBOL applications to improve efficiency or add new features. JCL (Job Control Language): Create and maintain JCL scripts to manage batch jobs for data processing. Ensure that JCL is optimized for job scheduling, monitoring, and error handling. Troubleshoot and resolve JCL-related issues that impact batch processing. DB2 (Database): Design and develop DB2 queries to interact with databases, ensuring optimal performance. Integrate COBOL programs with DB2 for data retrieval, insertion, and updating. Ensure database integrity and handle SQL optimization for large-scale banking transactions. VSAM (Virtual Storage Access Method): Work with VSAM files to store and retrieve data efficiently. Ensure that COBOL programs interact seamlessly with VSAM files. Perform file management tasks such as creating, deleting, and maintaining VSAM datasets. CICS (Customer Information Control System): Develop and maintain CICS-based applications, ensuring seamless communication between online programs and data resources. Optimize transaction processing in a CICS environment, focusing on real-time banking applications. Debug and resolve any issues related to CICS transactions, ensuring minimal downtime. Agile Methodology: Participate in Agile ceremonies, including daily standups, sprint planning, and retrospectives. Collaborate with cross-functional teams to deliver features incrementally and meet sprint goals. Ensure timely delivery of COBOL-based solutions within Agile sprints. Banking Domain Knowledge: Develop software that aligns with banking regulations, business processes, and security standards. Ensure data accuracy and consistency in financial transactions, account management, and payment systems. Stay informed about changes in the banking domain and ensure the software complies with industry standards and regulations. Testing and Documentation: Write unit tests and perform thorough testing of COBOL programs, ensuring high-quality output. Document code, workflows, and processes for future reference and regulatory purposes. Provide clear documentation for troubleshooting, maintenance, and knowledge sharing. Performance Optimization: Analyze the performance of COBOL applications and optimize them for speed and efficiency, particularly for high-volume banking transactions. Identify and resolve bottlenecks in the system. Collaboration and Communication: Work closely with business analysts, project managers, and other developers to understand business needs and translate them into technical solutions. Communicate effectively with stakeholders to manage expectations and provide updates on project progress.

Role Overview We are looking for an AI/ML Engineer with 3 to 5 years of experience in designing, developing, and deploying AI-powered applications. The ideal candidate should have strong hands-on experience in LLMs, prompt engineering, reasoning workflows (e.g., Chain-of-Thought), and agentic AI frameworks alongside a solid foundation in machine learning. Key Responsibilities Fine-tune reasoning-based LLMs using Chain-of-Thought datasets and techniques. Utilize multiple LLMs (ChatGPT, Claude, Gemini, etc.) and understand their strengths and limitations. Optimize LLM interactions through advanced prompt engineering, few-shot CoT, and iterative refinement. Leverage Retrieval-Augmented Generation (RAG) to combine external context with LLM reasoning. Use platforms like Hugging Face/GitHub to manage, fine-tune, and deploy pretrained models. Implement agentic AI workflows (LangGraph, CrewAI, or custom orchestration systems). Develop scalable backend architectures using FastAPI, Uvicorn, Celery, and async pipelines. Build intelligent automation pipelines involving scraping, entity extraction, and enrichment. Apply best practices in LLM engineering, including: Model training workflows (train/val/test splits, dataset curation) Fine-tuning and instruction-tuning with open-source models Reasoning task evaluation (factuality, coherence, step accuracy) Stay on the cutting edge of AI advancements, from open-weight LLMs to novel prompting strategies. Required Skills & Expertise Excellent communication skills — ability to articulate AI concepts clearly. Hands-on experience in: Prompt engineering for LLM-based applications Agentic AI frameworks (LangGraph, CrewAI, or custom-built) Chain-of-Thought reasoning, few-shot learning, and task decomposition Retrieval-Augmented Generation (RAG) pipelines Web scraping tools (Playwright, Octoparse, BeautifulSoup) System architecture (FastAPI, Uvicorn, Celery, async queues) AI/ML platforms (Hugging Face, Transformers, GitHub-based models) ML Frameworks: PyTorch (preferred), TensorFlow, or Keras Core fundamentals: Data structures, statistics, linear algebra, and optimization Bonus: Familiarity with reasoning datasets (GSM8K, HotpotQA, OpenBookQA) Experience with evaluation metrics for generative models (BLEU, ROUGE, EM, custom validators) Comfortable working across APIs, scraping flows, and backend systems Required Background 3 to 5 years of work experience in AI/ML, backend engineering, or NLP-heavy roles A portfolio of real-world projects — shipped products, agents, scrapers, or research tools Why Join Us? Be part of a stealth-stage, AI-first company solving real-world problems Build reasoning-aware systems powered by LLMs and automation Work at the intersection of trend intelligence, agents, and research Ship fast, own what you build, and have a voice in product direction Competitive salary If you’re passionate about building smart systems that think , we’d love to connect.

Role Overview We are seeking a highly skilled Data Scientist with 4 to 8 years of experience to join our dynamic team. The ideal candidate will leverage expertise in Python, SQL, NLP, Computer Vision, Machine Learning, and PySpark to develop and implement advanced data solutions that support our clients’ digital transformation journeys. You will collaborate closely with business stakeholders and technical teams to analyze complex data sets and deliver actionable insights. Key Responsibilities Design, develop, and deploy machine learning models and data-driven solutions for clients in the financial services sector. Apply NLP and computer vision techniques to extract insights from unstructured data sources. Write optimized SQL queries to extract and manipulate large datasets from relational databases. Build scalable data pipelines and workflows using PySpark for large-scale data processing. Collaborate with cross-functional teams to translate business requirements into analytical solutions. Conduct exploratory data analysis to identify trends, patterns, and opportunities for improvement. Communicate findings and recommendations effectively to both technical and non-technical stakeholders. Stay current with emerging technologies and methodologies in data science, NLP, computer vision, and big data. Mandatory Skills Strong programming skills in Python for data science and machine learning. Proficient in SQL for complex data extraction and manipulation. Hands-on experience with Natural Language Processing (NLP) techniques and tools. Practical knowledge of Computer Vision algorithms and frameworks. Expertise in Machine Learning model development, evaluation, and deployment. Experience working with PySpark for big data processing and ETL workflows. Experience with Generative AI (Gen-AI) including Large Language Models (LLMs) for text generation and understanding. Familiarity with Retrieval-Augmented Generation (RAG) architectures for enhancing LLM performance with external knowledge sources. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 4+ years of professional experience as a Data Scientist or in a similar role. Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of a collaborative team in a fast-paced environment. About Company: Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capcoâs cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Our approach is tailor-made to fit with each clientâs problem with an emphasis on building long-term strategic partnerships that foster collaboration and trust. We have the people, the vision, and the passion. Capco is committed to providing clients with practical solutions. We offer a globally integrated service with offices in leading financial centers across the Americas, Europe and Asia Pacific.

Skills: Technical Writing, Documentation Management, Knowledge Management, Team Leadership, Process Improvement, Project Management, Workflow Automation, A "Documentation Incharge" or "Document Controller" is responsible for ensuring that all company documentation is accurately, efficiently, and effectively managed. This includes creating, organizing, maintaining, and distributing various types of documents, such as process maps, user guides, policies, and technical manuals. They also ensure compliance with regulatory requirements and industry standards. Key Responsibilities Document Creation and Management: Developing and writing documents, including process maps, user guides, and procedure manuals. Organization and Storage: Maintaining a well-organized document database or library, ensuring accurate archiving and indexing for easy retrieval. Compliance: Ensuring that documentation practices adhere to company policies, regulatory requirements, and industry best practices. Communication and Training: Updating personnel on new document versions, providing access, and training employees on proper document handling. Record Retention: Establishing and maintaining record retention timelines, ensuring compliance with company policies and legal requirements. Quality Control: Reviewing and updating documents to ensure accuracy, clarity, and adherence to quality standards. Collaboration: Working with other departments to ensure that all documentation is accurate, up-to-date, and accessible.

Experience Required : 2 years Location : Remote Company : Troopr Labs Website : www.enjo.ai About Troopr Labs & Enjo At Troopr Labs, we're building Enjo - the world's smartest AI support agent - designed to become the default AI-first helpdesk for businesses. With Enjo's no-code AI Agent Studio, AI Ticketing, and LLM-native automation tools, enterprises can automate customer and employee support at scale. Trusted by global giants like Starbucks, Netflix, Snowflake, and Spotify, Enjo is already changing the way support happens. We're a lean team of builders on a mission to redefine enterprise productivity through generative AI. If you're curious, fast-moving, and excited about LLMs, we'd love to talk. Role Description We are looking for a Prompt Engineer to shape the intelligence of our AI agents. This role goes beyond simple prompt writing - it requires deep curiosity in language behavior, rigorous experimentation, and the ability to translate product goals into scalable LLM strategies. You'll work closely with product, engineering, and customer teams to design, evaluate, and productionize prompts that power real-world support experiences - and push the boundaries of what AI agents can do without human handoff. What You'll Do Design and iterate prompts to optimize Enjo's performance in customer and employee support use cases Build reusable prompt libraries and test frameworks for scale Collaborate with engineers and product leads to integrate prompt flows into our agent pipelines Experiment with emerging techniques like retrieval-augmented generation (RAG), guardrails, and role conditioning Analyze LLM outputs and conduct rigorous evaluations to improve reliability, interpretability, and impact Who You Are 1-3 years of experience working with LLMs or NLP-based AI products (internships/projects count) Experience with tools like LangChain, OpenAI, Anthropic, or similar APIs Strong understanding of prompt engineering patterns and model behavior You're curious, self-driven, and thrive in fast-moving environments Bonus : experience with AI observability, A/B testing for prompts, or few-shot learning techniques Why This Role Is Special Pioneer LLM Workflows : Build reusable prompt infrastructure powering real customer-facing agents Direct Impact : Your prompts will touch 100,000+ users at global brands Work on the Edge : Apply the latest LLM capabilities in retrieval, instruction tuning, and autonomous agents Mentorship + Autonomy : Be part of a world-class remote team where your ideas and initiative are valued Perks Remote-first and async-friendly Real-world AI experimentation environment Work closely with founders and core engineering team Access to top-tier AI tools, APIs, and mentorship (ref:hirist.tech)

Key Responsibilities Enter alphabetic, numeric, or symbolic data from various sources into computer databases, spreadsheets, or other software Type accurately and efficiently, focusing on speed and precision Use keyboards, data recorders, scanners, or other data entry devices for data input Review and verify data for accuracy and completeness by comparing it to source documents Identify and correct errors or inconsistencies in data to maintain integrity Cross-reference information to ensure consistency and correctness across data sources Maintain and update existing data in databases and systems as needed Organize and file electronic and paper documents appropriately for easy retrieval Create and manage spreadsheets with large volumes of data, ensuring proper structure Ensure data is stored logically for easy access and retrieval when required Perform regular data backups to safeguard data and prevent loss Sort, categorize, and code data according to specific guidelines for accurate record-keeping Compile data and prepare basic reports or summaries for business or auditing purposes Assist in retrieving data for reports, audits, and other business needs as requested Adhere to company data entry procedures and comply with data protection regulations Maintain the confidentiality of sensitive information at all times Communicate with team members to clarify data requirements or resolve discrepancies Respond to requests for data retrieval from various stakeholders Collaborate with other departments to ensure data consistency and accuracy across systems Operate standard office equipment such as computers, scanners, printers, and fax machines efficiently Ensure the proper use and maintenance of data entry equipment to avoid downtime Identify opportunities to improve data entry processes and increase overall efficiency About Company: Velozity Global Solutions is not only a globally recognized IT company, it's a family representing togetherness for over two years of a successful journey. For Velozity, the definition of success is to transform innovative ideas of people to reality with the help of our tech expertise - this is what we as a team want to be remembered for. Our vision has led Velozity to become an emerging IT company in India & the USA for delivering industry-led mobility solutions. The goal is to empower clients and businesses by creating new possibilities leveraging the technologies of today and tomorrow with the utmost quality, satisfaction, and transparency. Our enthusiasm has led us to become a top IT company in India & the USA for delivering various industry-led mobility solutions in web and mobile application development domains, leveraging futuristic technologies like the Internet of Things (IoT), AI-ML, AR-VR, voice assistants, and voice skills, DevOps & cloud computing, etc.

Job Description Role & Responsibilities : Database Development and Optimization : Design, develop, and optimize SQL databases, tables, views, and stored procedures to meet business requirements and performance goals. Data Retrieval and Analysis : Write efficient and high-performing SQL queries to retrieve, manipulate, and analyze data. Data Integrity and Security : Ensure data integrity, accuracy, and security through regular monitoring, backups, and data cleansing activities. Performance Tuning : Identify and resolve database performance bottlenecks, optimizing queries and database configurations. Error Resolution : Investigate and resolve database-related issues, including errors, connectivity problems, and data inconsistencies. Cross-Functional Collaboration : Collaborate with cross-functional teams, including Data Analysts, Software Developers, and Business Analysts, to support data-driven decision-making. Maintain comprehensive documentation of database schemas, processes, and procedures. Implement and maintain security measures to protect sensitive data and ensure compliance with data protection regulations. Assist in planning and executing database upgrades and migrations. To be considered for this role, you should have : Relevant work experience as a SQL Developer or in a similar role. Education : Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience). Technical Skills Proficiency in SQL, including T-SQL for Microsoft SQL Server or PL/SQL for Oracle. Strong knowledge of database design principles, normalization, and indexing. Experience with database performance tuning and optimization techniques. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Ability to work independently and manage multiple tasks simultaneously. Desirable Skills Database Management Certifications : Certifications in database management (e. , Microsoft Certified : Azure Database Administrator Associate) are a plus. Data Warehousing Knowledge : Understanding of data warehousing concepts is a plus. (ref:hirist.tech)

Key Responsibilities Enter alphabetic, numeric, or symbolic data from various sources into computer databases, spreadsheets, or other software Type accurately and efficiently, focusing on speed and precision Use keyboards, data recorders, scanners, or other data entry devices for data input Review and verify data for accuracy and completeness by comparing it to source documents Identify and correct errors or inconsistencies in data to maintain integrity Cross-reference information to ensure consistency and correctness across data sources Maintain and update existing data in databases and systems as needed Organize and file electronic and paper documents appropriately for easy retrieval Create and manage spreadsheets with large volumes of data, ensuring proper structure Ensure data is stored logically for easy access and retrieval when required Perform regular data backups to safeguard data and prevent loss Sort, categorize, and code data according to specific guidelines for accurate record-keeping Compile data and prepare basic reports or summaries for business or auditing purposes Assist in retrieving data for reports, audits, and other business needs as requested Adhere to company data entry procedures and comply with data protection regulations Maintain the confidentiality of sensitive information at all times Communicate with team members to clarify data requirements or resolve discrepancies Respond to requests for data retrieval from various stakeholders Collaborate with other departments to ensure data consistency and accuracy across systems Operate standard office equipment such as computers, scanners, printers, and fax machines efficiently Ensure the proper use and maintenance of data entry equipment to avoid downtime Identify opportunities to improve data entry processes and increase overall efficiency About Company: Velozity Global Solutions is not only a globally recognized IT company, it's a family representing togetherness for over two years of a successful journey. For Velozity, the definition of success is to transform innovative ideas of people to reality with the help of our tech expertise - this is what we as a team want to be remembered for. Our vision has led Velozity to become an emerging IT company in India & the USA for delivering industry-led mobility solutions. The goal is to empower clients and businesses by creating new possibilities leveraging the technologies of today and tomorrow with the utmost quality, satisfaction, and transparency. Our enthusiasm has led us to become a top IT company in India & the USA for delivering various industry-led mobility solutions in web and mobile application development domains, leveraging futuristic technologies like the Internet of Things (IoT), AI-ML, AR-VR, voice assistants, and voice skills, DevOps & cloud computing, etc.

Join us as a Data and Governance Analyst at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Data and Governance Analyst you should have experience with: Records and Data Governance: Knowledge of records management and data governance practices to ensure data integrity, privacy, and compliance with relevant regulations. Understanding of Data Warehousing Concepts: Familiarity with data warehousing principles and best practices to ensure efficient data retrieval and reporting. E.g. Data Quality Management: Ensuring high data quality is essential for reliable analysis and decision-making. This includes data cleansing, validation, and transformation. Data Analysis: Strong analytical skills to interpret complex datasets and provide actionable insights. Data Blending and Integration: Experience in blending and integrating data from multiple sources. Some Other Highly Valued Skills May Include Communication Skills: Excellent verbal and written communication skills to present data findings clearly and effectively to stakeholders. Project Management: Knowledge of agile practices including Scrum, Kanban, and waterfall as examples. Analytical Skills: Strong ability to interpret complex datasets and provide actionable insights. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role To optimise staffing levels, forecasts, scheduling and workforce allocation through data analysis to enhance the customer experience within the bank's operations. Accountabilities Management of staff optimisation levels, forecasting and scheduling resources by analysing data, business volume and trends to support the workforce allocation process. Collaboration with teams across the bank to align and integrate workforce management processes and governance. Development and implementation of workforce management strategies, processes and controls to mitigate risks and maintain efficient banking operations. Identification of areas for improvement and providing recommendations for change in workforce management processes and provide feedback and coaching for colleagues on these highlighted areas. Identification of industry trends and developments to implement best practice in workforce management Services. . Participation in projects and initiatives to improve workforce management efficiency and effectiveness. Development and management of staffing schedules to optimise staffing levels to meet business needs. Management of the operational readiness plans, supporting the business with meeting desired customer outcomes. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Skills: Python, Spark, Data Engineer, Cloudera, Onpremise, Azure, Snlowfow, Kafka, Overview Of The Company Jio Platforms Ltd. is a revolutionary Indian multinational tech company, often referred to as India's biggest startup, headquartered in Mumbai. Launched in 2019, it's the powerhouse behind Jio, India's largest mobile network with over 400 million users. But Jio Platforms is more than just telecom. It's a comprehensive digital ecosystem, developing cutting-edge solutions across media, entertainment, and enterprise services through popular brands like JioMart, JioFiber, and JioSaavn. Join us at Jio Platforms and be part of a fast-paced, dynamic environment at the forefront of India's digital transformation. Collaborate with brilliant minds to develop next-gen solutions that empower millions and revolutionize industries. Team Overview The Data Platforms Team is the launchpad for a data-driven future, empowering the Reliance Group of Companies. We're a passionate group of experts architecting an enterprise-scale data mesh to unlock the power of big data, generative AI, and ML modelling across various domains. We don't just manage data we transform it into intelligent actions that fuel strategic decision-making. Imagine crafting a platform that automates data flow, fuels intelligent insights, and empowers the organization that's what we do. Join our collaborative and innovative team, and be a part of shaping the future of data for India's biggest digital revolution! About the role. Title: Lead Data Engineer Location: Mumbai Responsibilities End-to-End Data Pipeline Development: Design, build, optimize, and maintain robust data pipelines across cloud, on-premises, or hybrid environments, ensuring performance, scalability, and seamless data flow. Reusable Components & Frameworks: Develop reusable data pipeline components and contribute to the team's data pipeline framework evolution. Data Architecture & Solutions: Contribute to data architecture design, applying data modelling, storage, and retrieval expertise. Data Governance & Automation: Champion data integrity, security, and efficiency through metadata management, automation, and data governance best practices. Collaborative Problem Solving: Partner with stakeholders, data teams, and engineers to define requirements, troubleshoot, optimize, and deliver data-driven insights. Mentorship & Knowledge Transfer: Guide and mentor junior data engineers, fostering knowledge sharing and professional growth. Qualification Details Education: Bachelor's degree or higher in Computer Science, Data Science, Engineering, or a related technical field. Core Programming: Excellent command of a primary data engineering language (Scala, Python, or Java) with a strong foundation in OOPS and functional programming concepts. Big Data Technologies: Hands-on experience with data processing frameworks (e.g., Hadoop, Spark, Apache Hive, NiFi, Ozone, Kudu), ideally including streaming technologies (Kafka, Spark Streaming, Flink, etc.). Database Expertise: Excellent querying skills (SQL) and strong understanding of relational databases (e.g., MySQL, PostgreSQL). Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus. End-to-End Pipelines: Demonstrated experience in implementing, optimizing, and maintaining complete data pipelines, integrating varied sources and sinks including streaming real-time data. Cloud Expertise: Knowledge of Cloud Technologies like Azure HDInsights, Synapse, EventHub and GCP DataProc, Dataflow, BigQuery. CI/CD Expertise: Experience with CI/CD methodologies and tools, including strong Linux and shell scripting skills for automation. Desired Skills & Attributes Problem-Solving & Troubleshooting: Proven ability to analyze and solve complex data problems, troubleshoot data pipeline issues effectively. Communication & Collaboration: Excellent communication skills, both written and verbal, with the ability to collaborate across teams (data scientists, engineers, stakeholders). Continuous Learning & Adaptability: A demonstrated passion for staying up-to-date with emerging data technologies and a willingness to adapt to new tools.

Skills: Data Engineer, Spark, Scala, Python, Onpremise, Cloudera, Snowflake, kafka, Overview Of The Company Jio Platforms Ltd. is a revolutionary Indian multinational tech company, often referred to as India's biggest startup, headquartered in Mumbai. Launched in 2019, it's the powerhouse behind Jio, India's largest mobile network with over 400 million users. But Jio Platforms is more than just telecom. It's a comprehensive digital ecosystem, developing cutting-edge solutions across media, entertainment, and enterprise services through popular brands like JioMart, JioFiber, and JioSaavn. Join us at Jio Platforms and be part of a fast-paced, dynamic environment at the forefront of India's digital transformation. Collaborate with brilliant minds to develop next-gen solutions that empower millions and revolutionize industries. Team Overview The Data Platforms Team is the launchpad for a data-driven future, empowering the Reliance Group of Companies. We're a passionate group of experts architecting an enterprise-scale data mesh to unlock the power of big data, generative AI, and ML modelling across various domains. We don't just manage data we transform it into intelligent actions that fuel strategic decision-making. Imagine crafting a platform that automates data flow, fuels intelligent insights, and empowers the organization that's what we do. Join our collaborative and innovative team, and be a part of shaping the future of data for India's biggest digital revolution! About the role. Title : Senior Data Engineer Location : Mumbai Responsibilities End-to-End Data Pipeline Development: Design, build, optimize, and maintain robust data pipelines across cloud, on-premises, or hybrid environments, ensuring performance, scalability, and seamless data flow. Reusable Components & Frameworks: Develop reusable data pipeline components and contribute to the team's data pipeline framework evolution. Data Architecture & Solutions: Contribute to data architecture design, applying data modelling, storage, and retrieval expertise. Data Governance & Automation: Champion data integrity, security, and efficiency through metadata management, automation, and data governance best practices. Collaborative Problem Solving: Partner with stakeholders, data teams, and engineers to define requirements, troubleshoot, optimize, and deliver data-driven insights. Mentorship & Knowledge Transfer: Guide and mentor junior data engineers, fostering knowledge sharing and professional growth. Qualification Details Education: Bachelor's degree or higher in Computer Science, Data Science, Engineering, or a related technical field. Core Programming: Excellent command of a primary data engineering language (Scala, Python, or Java) with a strong foundation in OOPS and functional programming concepts. Big Data Technologies: Hands-on experience with data processing frameworks (e.g., Hadoop, Spark, Apache Hive, NiFi, Ozone, Kudu), ideally including streaming technologies (Kafka, Spark Streaming, Flink, etc.). Database Expertise: Excellent querying skills (SQL) and strong understanding of relational databases (e.g., MySQL, PostgreSQL). Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus. End-to-End Pipelines: Demonstrated experience in implementing, optimizing, and maintaining complete data pipelines, integrating varied sources and sinks including streaming real-time data. Cloud Expertise: Knowledge of Cloud Technologies like Azure HDInsights, Synapse, EventHub and GCP DataProc, Dataflow, BigQuery. CI/CD Expertise: Experience with CI/CD methodologies and tools, including strong Linux and shell scripting skills for automation. Desired Skills & Attributes Problem-Solving & Troubleshooting: Proven ability to analyze and solve complex data problems, troubleshoot data pipeline issues effectively. Communication & Collaboration: Excellent communication skills, both written and verbal, with the ability to collaborate across teams (data scientists, engineers, stakeholders). Continuous Learning & Adaptability: A demonstrated passion for staying up-to-date with emerging data technologies and a willingness to adapt to new tools.

Skills: Recruitment Support, Onboarding, Employee Records, Attendance Management, Compliance Documentation, Employee Engagement, Company Overview Sir H. N. Reliance Foundation Hospital and Research Centre, headquartered in Mumbai, is a leading multi-specialty tertiary care hospital offering world-class healthcare services. With a focus on cutting-edge technology and international standards, the hospital specializes in areas such as Cardiac Sciences, Oncology, and Neuro Sciences among others. It is renowned for its state-of-the-art medical mall and a rich legacy of over a century in healthcare excellence and innovation. Job Overview We are seeking a Human Resource Intern for a 3 to 6-month internship at our Mumbai location. This position is ideal for freshers with a keen interest in HR practices within the healthcare industry. The successful candidate will gain hands-on experience in various HR functions and support the HR team in process execution and improvement. This role requires a proactive approach, attention to detail, and a passion for people management. Qualifications And Skills MBA in HR. - 2025 or 2026 pass out Strong interest in human resources and a willingness to learn about HR practices in a hospital setting. Basic understanding of recruitment processes and ability to provide support during hiring campaigns. Proficiency in maintaining and updating employee records, ensuring accuracy and privacy. Ability to assist with onboarding processes to ensure a smooth transition for new hires. Experience with attendance management systems and the capacity to address related queries. Proficiency in preparing compliance documents and ensuring adherence to HR guidelines. Strong communication skills to engage with employees and assist in fostering a positive workplace environment. Detail-oriented with strong organizational skills to manage diverse HR tasks effectively. Roles And Responsibilities Assist in the recruitment process by coordinating interviews, managing applications, and communicating with candidates. Support HR staff with onboarding processes, including preparation of orientation materials and conducting introductions. Maintain and update employee records accurately in the database for easy retrieval and reporting. Assist in attendance management by tracking, verifying, and addressing any discrepancies. Ensure compliance documentation is accurate, complete, and filed in accordance with legal requirements. Engage with employees through various engagement activities and feedback mechanisms. Support the development and implementation of HR policies and procedures. Provide general administrative support to the HR team as necessary, ensuring efficient daily operations.

The University of Hong Kong Apply now Ref.: 532152 Work type: Full-time Department: School of Public Health (22400) Categories: Senior Research Staff & Post-doctoral Fellow Hong Kong Applications are invited for appointment as Research Assistant Professor (RAP)/ Post-doctoral Fellow (PDF) in the Division of Epidemiology and Biostatistics, School of Public Health (Ref.: 532152), to commence on 1 November 2025, on a two- to three-year fixed-term basis for RAP, or a one- to three-year temporary basis for PDF, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD in epidemiology, biostatistics, public health or related disciplines. They must demonstrate an outstanding academic background with publication records in high-impact peer-reviewed journals. Essential qualifications include advanced expertise in developing AI applications using offline/online LLMs (e.g., GPT, Qwen, DeepSeek, Mistral, Llama, Gemma) within Linux environments. They must also demonstrate proficiency in clinical data annotation (brat), Python scripting, and integrating optimization techniques such as fine-tuning, Chain-of-Thought, and Retrieval Augmented Generation to enhance LLM outputs. Experience in creating oncology-specific NLP models with peer-reviewed publications is preferred. Strong quantitative skills are mandatory, including analysing large-scale databases (e.g., Hospital Authority EHR) using R/STATA/SAS and conducting cost-effectiveness analyses. Applicants must have a track record in securing competitive grants as principal investigators, managing IRB processes, patient recruitment, and media engagement through press releases. Exceptional bilingual communication skills (English/Chinese) and the ability to lead multidisciplinary collaborations are required. Those with significant post-doctoral experience and outstanding publications may be appointed as RAP. The appointee will spearhead the development of interactive AI clinical decision support systems that translate LLM outputs into clinical management tools. This role involves designing and executing large-scale epidemiological studies using EHR data, overseeing clinical data annotation/processing from public and Hospital Authority sources, and leading patient recruitment/follow-up initiatives. Academic responsibilities include disseminating findings via publications and conferences, preparing IRB applications, drafting press releases, and driving grant applications from ideation to submission. The appointee is also expected to supervise research staff, manage project alignment, and undertake administrative duties as assigned. Enquiries about the duties of the post should be sent to Ms Audrey Ho at audreyh@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary for RAP. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start on June 19, 2025, and continue until September 4, 2025 , or until the post is filled, whichever is earlier. Advertised: Jun 5, 2025 (HK Time) Applications close: Sep 4, 2025 (HK Time) Back to search results Apply now Whatsapp Facebook LinkedIn Email App

Minimum qualifications: Bachelor's degree in Computer Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience with one or more of the following: Linux kernel, device drivers, git/gerrit, system integration. 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Experience developing with C/C++ in areas such as low-level systems development, synchronization, memory allocation, performance, and multi-threading. Preferred qualifications: Master's degree in Computer Engineering, Computer Science, or a related field. Experience with system software in any of the following areas - ARM/ARM64 architecture, compilers, firmware, Operating systems, Linux kernel, filesystems/storage, device drivers, performance tuning, networking, tools, tests, virtualization, platform libraries, etc. Experience working with operating systems, computer architecture, embedded systems and Linux/Unix kernel, etc. Experience developing and designing large software systems. Experience in coding C or C++. Knowledge of the Android platform. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. As a member of the Android Systems team, you will pioneer, develop and build out our footprint in consumer hardware/software. You will contribute to the core of Android. You will work on a variety of open source projects including the Linux kernel, Android operating system, and build the future of Android together with our large partner ecosystem. You will work on areas such as storage, filesystems, low-level performance, and systems software. You will be contributing to Android's updatability, security and quality while working alongside leading domain experts from various areas. Areas of development may include the Linux kernel, device drivers, operating systems, virtualization, inter-process communication, performance optimizations, over-the-air update technology, and the Android core framework. Android is Google’s open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world. Responsibilities Design, develop and roll out features for billions of users. Work on core system components including storage, filesystems, updatability, and virtualization. Create and ship Generic Kernel Image (GKI) for next generation devices with billions of users already. Scale development across a growing number of verticals (e.g., Wear, Auto, TV, large screen, etc.). Work with our Android partners that ship hundreds of millions of Android devices each year. 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 .

Software Engineering Roles – Multiple Levels Level 1: Job Title: Software Engineer | 2-4 Years Of Experience | 5 Positions Level 2: Job Title: Associate Software Engineer | 5-9 Years Of Experience | 3 Positions Level 3: Job Title: Staff Software Engineer | 12-15 Years Of Experience | 2 Positions Location: Chennai, Tamil Nadu, India Duration: FTE / Permanent Type: On-Site The Challenge: We are looking for skilled Software Engineers at multiple levels to join our team, where you'll play a key role in developing and maintaining high-performance, event-driven systems for real-time applications. You'll work closely with the team to implement microservices, optimize code performance, and contribute to the overall success of our technical projects. Tech Stack to Focus: • JAVA • Spring Boot • Microservices • Kafka • Hadoop • SQL and NoSQL Roles & Responsibilities: Component Development: Collaborate in developing and maintaining components of high-performance, real-time systems, following the guidance of senior team members. Microservices Implementation: Build microservices using Java, Python, or Go, adhering to established architectural patterns for scalability and resilience. Performance Optimization: Enhance code performance by focusing on efficient memory management, concurrency, and I/O operations to meet demanding performance standards. Database Management: Work with both SQL and NoSQL databases to create efficient data storage and retrieval solutions for high-volume environments. Real-Time Analytics: Assist in developing real-time analytics features, contributing to the creation of insightful visualizations for stakeholders. Monitoring & Alerting: Participate in developing monitoring and alerting solutions, with a focus on key performance indicators and system health metrics. Infrastructure as Code (IaC): Support the implementation of IaC practices, helping to create and maintain deployment scripts for consistent and reliable deployments. Container Orchestration: Contribute to container orchestration strategies, focusing on efficient resource utilization and auto-scaling. Caching & Data Access: Implement and optimize caching strategies and data access patterns to improve system responsiveness. Code Reviews: Engage in code reviews, offering constructive feedback and incorporating suggestions to enhance code quality. Production Support: Assist in troubleshooting and resolving production issues, including participating in on-call rotations as required. Technical Documentation: Contribute to technical documentation, ensuring that system designs and implementations are clearly documented. Proof-of-Concept Projects: Participate in proof-of-concept initiatives, researching and implementing new technologies under the guidance of senior engineers. Knowledge Sharing: Actively participate in team knowledge-sharing sessions, presenting on new technologies and best practices. Essential Skills & Requirements: Educational Background: Bachelor’s degree in Computer Science or a related field. Technical Proficiency: Strong skills in at least one major programming language (Java, Python, or Go), with a focus on writing clean, maintainable code. Microservices & Event-Driven Systems: Experience with microservices architecture and event-driven systems. Distributed Systems: Solid understanding of distributed systems concepts and associated challenges. Database Skills: Practical experience working with both SQL and NoSQL databases. Cloud & Containerization: Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies like Docker. Big Data: Basic understanding of big data technologies such as Hadoop, Spark, or Kafka. Version Control & CI/CD: Experience with version control systems (preferably Git) and CI/CD pipelines. Problem-Solving: Strong problem-solving abilities and experience in debugging complex issues. Communication & Teamwork: Excellent communication skills and a proven ability to work effectively within a team. Continuous Learning: Eagerness to learn new technologies and adapt to changing methodologies. Agile Practices: Basic understanding of agile development practices

Job Summary We’re seeking a hands-on GenAI & Computer Vision Engineer with 3–5 years of experience delivering production-grade AI solutions. You must be fluent in the core libraries, tools, and cloud services listed below, and able to own end-to-end model development—from research and fine-tuning through deployment, monitoring, and iteration. In this role, you’ll tackle domain-specific challenges like LLM hallucinations, vector search scalability, real-time inference constraints, and concept drift in vision models. Key Responsibilities Generative AI & LLM Engineering Fine-tune and evaluate LLMs (Hugging Face Transformers, Ollama, LLaMA) for specialized tasks Deploy high-throughput inference pipelines using vLLM or Triton Inference Server Design agent-based workflows with LangChain or LangGraph, integrating vector databases (Pinecone, Weaviate) for retrieval-augmented generation Build scalable inference APIs with FastAPI or Flask, managing batching, concurrency, and rate-limiting Computer Vision Development Develop and optimize CV models (YOLOv8, Mask R-CNN, ResNet, EfficientNet, ByteTrack) for detection, segmentation, classification, and tracking Implement real-time pipelines using NVIDIA DeepStream or OpenCV (cv2); optimize with TensorRT or ONNX Runtime for edge and cloud deployments Handle data challenges—augmentation, domain adaptation, semi-supervised learning—and mitigate model drift in production MLOps & Deployment Containerize models and services with Docker; orchestrate with Kubernetes (KServe) or AWS SageMaker Pipelines Implement CI/CD for model/version management (MLflow, DVC), automated testing, and performance monitoring (Prometheus + Grafana) Manage scalability and cost by leveraging cloud autoscaling on AWS (EC2/EKS), GCP (Vertex AI), or Azure ML (AKS) Cross-Functional Collaboration Define SLAs for latency, accuracy, and throughput alongside product and DevOps teams Evangelize best practices in prompt engineering, model governance, data privacy, and interpretability Mentor junior engineers on reproducible research, code reviews, and end-to-end AI delivery Required Qualifications You must be proficient in at least one tool from each category below: LLM Frameworks & Tooling: Hugging Face Transformers, Ollama, vLLM, or LLaMA Agent & Retrieval Tools: LangChain or LangGraph; RAG with Pinecone, Weaviate, or Milvus Inference Serving: Triton Inference Server; FastAPI or Flask Computer Vision Frameworks & Libraries: PyTorch or TensorFlow; OpenCV (cv2) or NVIDIA DeepStream Model Optimization: TensorRT; ONNX Runtime; Torch-TensorRT MLOps & Versioning: Docker and Kubernetes (KServe, SageMaker); MLflow or DVC Monitoring & Observability: Prometheus; Grafana Cloud Platforms: AWS (SageMaker, EC2/EKS) or GCP (Vertex AI, AI Platform) or Azure ML (AKS, ML Studio) Programming Languages: Python (required); C++ or Go (preferred) Additionally Bachelor’s or Master’s in Computer Science, Electrical Engineering, AI/ML, or a related field 3–5 years of professional experience shipping both generative and vision-based AI models in production Strong problem-solving mindset; ability to debug issues like LLM drift, vector index staleness, and model degradation Excellent verbal and written communication skills Typical Domain Challenges You’ll Solve LLM Hallucination & Safety: Implement grounding, filtering, and classifier layers to reduce false or unsafe outputs Vector DB Scaling: Maintain low-latency, high-throughput similarity search as embeddings grow to millions Inference Latency: Balance batch sizing and concurrency to meet real-time SLAs on cloud and edge hardware Concept & Data Drift: Automate drift detection and retraining triggers in vision and language pipelines Multi-Modal Coordination: Seamlessly orchestrate data flow between vision models and LLM agents in complex workflows About Company Hi there! We are Auriga IT. We power businesses across the globe through digital experiences, data and insights. From the apps we design to the platforms we engineer, we're driven by an ambition to create world-class digital solutions and make an impact. Our team has been part of building the solutions for the likes of Zomato, Yes Bank, Tata Motors, Amazon, Snapdeal, Ola, Practo, Vodafone, Meesho, Volkswagen, Droom and many more. We are a group of people who just could not leave our college-life behind and the inception of Auriga was solely based on a desire to keep working together with friends and enjoying the extended college life. Who Has not Dreamt of Working with Friends for a Lifetime Come Join In Our Website - https://aurigait.com/

About the Company: Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia. We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage. Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce. The Opportunity: As a Senior Engineer, you build the systems and services behind the Clarifai magic. You will focus on the development of the model workflow engine and of Retrieval Augmented Generation (RAG) systems. Impact: You build the systems and services that will power some of Clarifai's newest offerings. They will enable customers to perform automated tasks and synthesise internal information using LLMs and other models. Requirements: Minimum of 6 years of backend software development experience required. Proficiency in one or more object-oriented programming languages and relational database management systems. Ability to manage multiple projects simultaneously is highly valued at Clarifai. Thrives in a fast-paced work environment. Experience working on distributed teams is preferred, with strong communication skills and transparency being key. Enjoys mentoring junior engineers and interns. Familiarity with Agile methodologies is a plus. Great to Have: Experience with GO or Python ML related experience Experience with Kubernetes

You're an engineer who doesn't tolerate bad code, slow deployments, or outdated development practices. You don't just write software—you build AI-driven systems that make traditional engineering look sluggish and inefficient. If that sounds like you, keep reading. Most software teams are still writing code the old way—manual debugging, trial-and-error deployments, and features that barely leverage AI beyond a sprinkle of Copilot suggestions. Trilogy is different. Every part of our development process is infused with AI: feature ideation, bug detection, defect resolution, and performance optimization. This isn't about dabbling in AI tools; this is about fully integrating AI into the software lifecycle to eliminate waste, ship faster, and build with precision. In this role, you will take existing B2B products, break them down, rebuild them as cloud-native applications, and optimize them with AI at every level. You'll be developing and deploying AI-powered features, using cutting-edge retrieval-augmented generation (RAG) for automated defect detection, and ensuring every release is smooth—zero outages, zero disruptions, zero excuses. If you're looking for a job where you spend weeks debating architecture decisions instead of shipping, this isn't it. If you're ready to push the boundaries of AI-driven software engineering and accelerate your career into high-scale cloud-native development, apply now. If you prefer sticking to what you already know, writing test cases by hand, or working in teams that are afraid of automation, this isn't for you. What You Will Be Doing Using analysis tools and RAG vector stores to identify, diagnose, and correct product defects and fix bugs. Leveraging AI development agents to design, develop, and deploy innovative features for cloud-native applications. Collaborating with a global team to deliver high-quality, enterprise-grade solutions. What You Won’t Be Doing Routine Monotony: We keep cumbersome infrastructure tasks to a minimum so you can focus on creating innovative solutions. Endless Meetings: We value your expertise in development over sitting in meeting rooms. Expect more coding, less talking. C# Software Developer key responsibilities Implement AI-driven features to streamline workflows and empower service providers with innovative tools. Basic Requirements 4+ years of professional experience in commercial software development, focusing on production code for server-side web applications Experience using GenAI code assistants (e.g., Github Copilot, Cursor, v0.dev) A willingness to use GenAI in your day-to-day development work About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-3889-IN-Ahmedaba-C#SoftwareDeve.001

Elite C# Developers Only: Transform Legacy Systems into AI-Powered Cloud Machines Traditional development is dying. While most engineers still wrestle with manual debugging and clumsy deployments, forward-thinking developers are leveraging AI to eliminate waste and ship with unprecedented speed. At Trilogy, we're not just adopting AI tools—we're weaponizing them across the entire development lifecycle. This role demands excellence in rebuilding B2B products as cloud-native applications with AI integration at every level. You'll implement cutting-edge retrieval-augmented generation (RAG), automate defect detection, and deploy with zero tolerance for disruption. This position is for engineers who ship, not theorize. What You Will Be Doing Harness advanced RAG vector stores and AI analysis tools to identify, diagnose, and eliminate product defects with surgical precision Architect and implement AI development agents that revolutionize how features are designed, developed, and deployed in cloud environments Drive collaboration within our elite global engineering team to deliver enterprise-grade solutions that set new standards in the industry What You Won’t Be Doing Wrestling with infrastructure: Our streamlined processes eliminate tedious configuration tasks so you can focus on high-impact development Wasting time in meetings: We prioritize execution over discussion—your code speaks louder than words Following outdated development practices: This role demands innovation, not adherence to legacy methodologies Senior C# Developer key responsibilities Transform business operations by implementing AI-powered features that dramatically streamline workflows and deliver unprecedented value to service providers. Basic Requirements Minimum 4 years of professional experience building production-grade server-side web applications with commercial impact Demonstrated proficiency with GenAI code assistants (Github Copilot, Cursor, v0.dev) Commitment to integrating GenAI tools into your daily development workflow to maximize efficiency and output quality Advanced C# skills with a proven track record of delivering robust, scalable solutions About Trilogy Hundreds of software businesses run on the Trilogy Business Platform. For three decades, Trilogy has been known for 3 things: Relentlessly seeking top talent, Innovating new technology, and incubating new businesses. Our technological innovation is spearheaded by a passion for simple customer-facing designs. Our incubation of new businesses ranges from entirely new moon-shot ideas to rearchitecting existing projects for today's modern cloud-based stack. Trilogy is a place where you can be surrounded with great people, be proud of doing great work, and grow your career by leaps and bounds. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-3889-IN-Lucknow-SeniorC#Develo

Growexx is looking for a smart and passionate Data Scientist , who will empower Marketing, Product, and Sales teams to make strategic, data-driven decisions. Key Responsibilities Mine, process, and analyze web, product, sales, and digital marketing data at an event level. Utilize traditional machine learning techniques and language models (LLMs) to build great AI agents for different business needs. Assist in developing and optimizing LLM-driven solutions for tasks such as text summarization and basic customer support automation. Contribute to building and deploying predictive models and machine learning algorithms across customer profile and usage datasets. Support the deployment of machine learning models into production environments. Assist in designing and implementing basic model activation strategies and participating in A/B testing plans. Conduct evaluations of LLMs, focusing on basic performance metrics like accuracy and latency. Integrate LLM agents with APIs and assist in maintaining data models and improving taxonomy. Key Skills Hands on experience with LLM models and basic knowledge of evaluation metrics for LLMs. Knowledge of designing and deploying agentic systems. knowledge bases, retrieval systems (RAG architecture), and orchestrating dynamic multi-agent workflows. Exposure to machine learning techniques including supervised and unsupervised learning Proficiency in Python, SciKit, SQL, Jupyter Notebooks and understanding of cloud platforms for data science tasks. Basic understanding of data mining and statistical analysis techniques. Continuous learner, keeping up-to-date with the latest advances in transformers, generative AI models, retrieval-augmented generation (RAG), and agentic AI frameworks. Education and Experience B Tech or B. E. (Computer Science / Information Technology) 1+ years as a Data Scientist or similar roles. Analytical and Personal skills Must have good logical reasoning and analytical skills. Good Communication skills in English – both written and verbal. Demonstrate Ownership and Accountability of their work. Attention to detail.

We're seeking a Backend Intern with Python expertise to join our robotics software team. You'll be responsible for designing and implementing robust backend services that power our construction robotics platform, from data processing pipelines to robot telemetry systems. Core Responsibilities Develop robust backend services and APIs using Python and FastAPI to handle robot telemetry, control systems, and data processing Create efficient data pipelines for processing large volumes of robot sensor data, quality metrics, and operational analytics Architect and maintain AWS-based infrastructure for robot fleet management and data storage Design and implement database schemas for storing robot operational data, site information, and user management Build scalable solutions for real-time data storage and retrieval from robots in the field Collaborate with robotics engineers to integrate robot control systems with backend services Required Skills & Experience: Strong Python development skills with experience in FastAPI or similar frameworks Solid understanding of database design with PostgreSQL and SQLite Experience with AWS services (EC2, S3, Elastic Beanstalk) Knowledge of Docker containerization and deployment Understanding of RESTful API design principles Experience with data pipeline development and large-scale data processing Familiarity with cloud infrastructure management and scalability Why Join Us: Join a dynamic startup and work directly with the founders to shape the future of AI & Robotics Be part of a mission to create intelligent robots that eliminate the need for human labor in harsh and unsafe environments Join a team that values open feedback, encourages wild ideas, and keeps hierarchy out of brainstorming Experience the thrill of building not just a product, but a company from the ground up Requirements Python, Docker, AWS, FastAPI Benefits Health Insurance, PF,, flexible working hours

Title: Gen AI Engineer – GenAI / ML (Python, Langchain) Location: Gurgaon/ Chennai / Pune / Bangalore / Noida (Onsite) Fulltime. Primary Location: Gurgaon Secondary Location : Chennai / Pune / Bangalore / Noida (Onsite) Job Description: Overall Experience: 5–8 Years Focus: Hands-on engineering role focused on designing, building, and deploying Generative AI and LLM-based solutions. The role requires deep technical proficiency in Python and modern LLM frameworks with the ability to contribute to roadmap development and cross-functional collaboration. Key Responsibilities: • Design and develop GenAI/LLM-based systems using tools such as Langchain and Retrieval-Augmented Generation (RAG) pipelines. • Implement prompt engineering techniques and agent-based frameworks to deliver intelligent, context-aware solutions. • Collaborate with the engineering team to shape and drive the technical roadmap for LLM initiatives. • Translate business needs into scalable, production-ready AI solutions. • Work closely with business SMEs and data teams to ensure alignment of AI models with real-world use cases. • Contribute to architecture discussions, code reviews, and performance optimization. Skills Required: • Proficient in Python, Langchain, and SQL. • Understanding of LLM internals, including prompt tuning, embeddings, vector databases, and agent workflows. • Background in machine learning or software engineering with a focus on system-level thinking. • Experience working with cloud platforms like AWS, Azure, or GCP. • Ability to work independently while collaborating effectively across teams. • Excellent communication and stakeholder management skills. Preferred Qualifications: • 1+ years of hands-on experience in LLMs and Generative AI techniques. • Experience contributing to ML/AI product pipelines or end-to-end deployments. • Familiarity with MLOps and scalable deployment patterns for AI models. • Prior exposure to client-facing projects or cross-functional AI teams.

The Ops Support Specialist 5 is a position responsible for providing operations support services, including but not limited to; record/documentation maintenance, storage & retrieval of records, account maintenance, imaging and the opening of accounts in coordination with the Operations - Core Team. Additionally, the Ops Support Specialist 5 serves as the liaison between operations staff, relationship managers, project managers, custodians and clients. The overall objective of this role is to provide day-to-day operations support in alignment with Citi operations support infrastructure and processes. Responsibilities: Resolve customer inquiries and supervise escalated issues, providing efficient and effective customer service to Citi’s clients Identify opportunities to offer value added products and services while adhering to strict laws and regulation governing Telesales Communicate daily with management on productivity, quality, availability, Management Information System (MIS) indicators, as well as providing written and oral communications to supported business areas for approval of correct financial entries and resolution of incorrect entries Facilitate training based on needs of staff within the department and assist with answering staff questions within Disputes, as needed Support expansive and diverse array of products and services Assist with ongoing Lean and process improvement projects Resolve complex problems based on best practice/precedence, escalating as needed Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 2-4 years of relevant experience Proficient in Microsoft Office Comprehensive knowledge of Dispute process Ability to work unsupervised and apply problem solve capabilities Ability to work occasional weekends to support Pega releases and COB testing Working knowledge of Pega and/or G36 functionality, Continuity of Business (CoB) testing, and creating and resolving Trust Receipts (TR’s) Demonstrated analytical skills and mathematical knowledge Consistently demonstrates clear and concise written and verbal communication skills Education: 15 or 16 years of full time graduation in any stream, preferably from commerce and arts background This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Operations - Core ------------------------------------------------------ Job Family: Operations Support ------------------------------------------------------ Time Type: ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting

🔥AI Engineer (Generative & Agentic Systems) - WFH THIS IS A FULLY REMOTE WORKING OPPORTUNITY If you are interested and fulfill the below mentioned criteria then pls share following details. 1. EMAIL ID 2. PHONE NUMBER 3. YEARS OF RELEVANT EXPERIENCE. 4. UPDATED RESUME. 5. CCTC/ECTC 6. Notice period Send me the details..don't apply directly. *Key Responsibilities * ● Architect and build prompting-and-agent pipelines for document ingest, semantic extraction, and decision support. ● Prototype and productionize fine-tuned or LoRA-augmented open-source models (e.g.,Mistral, Qwen) alongside API-based LLMs (GPT-4, Claude). ● Implement evaluation benchmarks (accuracy, latency, hallucination rates) and optimize cost/token usage at scale. ● Collaborate with data and backend teams to integrate real-time financial and climate data sources. ● Drive experiments on retrieval-augmented-generation (RAG), chain-of-thought prompting, and proactive user profiling. *Core Skills & Experience * ● 3 + years in LLM development: OpenAI, Anthropic, Google’s Vertex AI. ● Hands-on with fine-tuning pipelines (LoRA, Hugging Face Transformers). ● Experience building agentic systems (e.g., LangChain, custom orchestrators). ● Solid Python expertise; familiarity with Java for integration. ● Strong grasp of evaluation metrics for generative models; experience reducing hallucinations. ● Understanding of financial- and ESG/climate-domain requirements (data sensitivity, explainability). *Nice-to-Have* ● Prior work on multi-language semantic extraction (legal, financial docs). ● Familiarity with compliance-driven AI (weather data, finance). You will be thoroughly tested on these skills If you lack these skills then pls don't apply to save your time. If you are absolutely sure about these skills then send me above details

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Associate Manager – AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a Associate manager –- AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your Key Responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Google’s Palm, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. Skills And Attributes For Success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 8 - 10 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 4 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 5-8 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.