5814 Retrieval Jobs - Page 9

AI/ML Engineer NLP Focus Location : Noida / Gurugram Type : Full-time Hiring for Our Client About The Role We are looking for a talented and experienced AI/NLP Engineer to join our clients innovative and fast-paced team. The ideal candidate is passionate about cutting-edge AI applications and has a proven track record in Natural Language Processing (NLP), Machine Learning (ML), and Generative AI. Youll play a critical role in designing, fine-tuning, deploying, and optimizing AI models for real-world applications. If you enjoy solving complex business problems using scalable AI solutions and collaborating with cross-functional teams, wed love to hear from you. Key Responsibilities Model Development & Fine-tuning : Customize, fine-tune, and optimize state-of-the-art NLP models (e.g., Transformer-based, Conformer-based, VITS). Train models from scratch for business-specific challenges. Generative AI & Prompt Engineering : Design effective prompts tailored to user and business needs. Build similarity models (e.g., BERT, XLNet, cross-encoders) for LLM-based Retrieval-Augmented Generation (RAG). Model Deployment & Optimization : Deploy models at scale using Docker, Kubernetes, and AWS. Optimize performance using vLLM (Paged Attention), quantization, and adapter-based tuning (LoRA, QLoRA). Performance Monitoring & Pipeline Development : Evaluate and enhance model performance (accuracy, latency, scalability). Build robust ML pipelines using tools like Airflow and AWS Batch. Cross-functional Collaboration : Work closely with data scientists, engineers, and product teams to integrate NLP models into production systems. Required Skills & Experience Experience : 6+ years in NLP/ML with deep expertise in fine-tuning and transfer learning. NLP Specialization : ASR, TTS, or custom LLM architectures (e.g., auto-regressive transformers, RWKV). Generative AI : Skilled in designing prompts and leveraging LLMs for business use cases. Programming : Strong in Python; experience in model implementation and pipeline building. Deployment : Hands-on with Docker, Kubernetes, and cloud platforms (AWS preferred). Frameworks & Tools : TensorFlow, PyTorch, Hugging Face, NLTK, SpaCy, Gensim. Bonus Skills (Nice To Have) Cloud & MLOps : AWS Lambda, Step Functions, Batch, GCP, Azure, or Nemo. Scalability : Experience in managing and scaling large AI deployments in production. Preferred Qualifications Bachelor's or Masters in Computer Science, Data Science, Engineering, or a related field. Experience working with large datasets and building robust preprocessing pipelines. Strong grasp of neural networks and advanced deep learning architectures for NLP. (ref:hirist.tech)

About Us We are a fast-growing Direct-to-Consumer (D2C) company revolutionizing how customers interact with our products. Our data-driven approach is at the core of our business strategy, enabling us to make informed decisions that enhance customer experience and drive business growth. We're looking for a talented Senior Data Engineer to join our team and help shape our data infrastructure for the future. Role Overview As a Senior Data Engineer, you will architect, build, and maintain our data infrastructure that powers critical business decisions. You will work closely with data scientists, analysts, and product teams to design and implement scalable solutions for data processing, storage, and retrieval. Your work will directly impact our ability to leverage data for business intelligence, machine learning initiatives, and customer insights. Key Responsibilities Design, build, and maintain our end-to-end data infrastructure on AWS and GCP cloud platforms Develop and optimize ETL/ELT pipelines to process large volumes of data from multiple sources Build and support data pipelines for reporting, analytics, and machine learning applications Implement and manage streaming data solutions using Kafka and other technologies Design and optimize database schemas and data models in ClickHouse and other databases Develop and maintain data workflows using Apache Airflow and similar orchestration tools Write efficient, maintainable, and scalable code using PySpark and other data processing frameworks Collaborate with data scientists to implement ML infrastructure for model training and deployment Ensure data quality, reliability, and security across all data platforms Monitor data pipelines and implement proactive alerting systems Troubleshoot and resolve data infrastructure issues Document data flows, architectures, and processes Mentor junior data engineers and contribute to establishing best practices Stay current with industry trends and emerging technologies in data engineering Qualifications Required : Bachelor's degree in Computer Science, Engineering, or related technical field (Master's preferred) 5+ years of experience in data engineering roles Strong expertise in AWS and/or GCP cloud platforms and services Proficiency in building data pipelines using modern ETL/ELT tools and frameworks Experience with stream processing technologies such as Kafka Hands-on experience with ClickHouse or similar analytical databases Strong programming skills in Python and experience with PySpark Experience with workflow orchestration tools like Apache Airflow Solid understanding of data modeling, data warehousing concepts, and dimensional modeling Knowledge of SQL and NoSQL databases Strong problem-solving skills and attention to detail Excellent communication skills and ability to work in cross-functional teams Preferred Experience in D2C, e-commerce, or retail industries Knowledge of data visualization tools (Tableau, Looker, Power BI) Experience with real-time analytics solutions Familiarity with CI/CD practices for data pipelines Experience with containerization technologies (Docker, Kubernetes) Understanding of data governance and compliance requirements Experience with MLOps or ML engineering Technologies Cloud Platforms: AWS (S3, Redshift, EMR, Lambda), GCP (BigQuery, Dataflow, Dataproc) Data Processing: Apache Spark, PySpark, Python, SQL Streaming: Apache Kafka, Kinesis Data Storage: ClickHouse, S3, BigQuery, PostgreSQL, MongoDB Orchestration: Apache Airflow Version Control: Git Containerization: Docker, Kubernetes (optional) What We Offer Competitive salary and comprehensive benefits package Opportunity to work with cutting-edge data technologies Professional development and learning opportunities Modern office in Mumbai with great amenities Collaborative and innovation-driven culture Opportunity to make a significant impact on company growth (ref:hirist.tech)

Job Title : Senior Cloud Engineer Location : Hyderabad Experience : 5+ Years Work Mode : Hybrid About The Role We are looking for a highly skilled and motivated Senior AWS Engineer to join our team. In this role, you will be responsible for designing, deploying, and managing cloud infrastructure using Amazon Web Services (AWS). You will collaborate closely with research teams to support advanced data processing, high-performance computing (HPC), and secure data management within a pharmaceutical research setting. Key Responsibilities AWS Infrastructure Management : Design, deploy, and manage AWS cloud infrastructure. Implement and support scalable computing environments for data-intensive applications such as genomics, proteomics, and molecular modeling. Automate infrastructure deployment and management using tools like AWS CloudFormation, Terraform, or AWS CDK. High-Performance Computing (HPC) Set up and manage HPC clusters on AWS to support high-performance, compute-intensive workloads. Optimize computational resources for large-scale simulations, AI/ML workflows, and other research-related tasks. Data Management And Storage Design and manage storage solutions for large datasets using AWS services such as S3, EBS, and Glacier. Implement robust data lifecycle management strategies including backup, archiving, and retrieval to ensure data integrity and regulatory compliance. Collaboration And Technical Support Collaborate with cross-functional teams, including data scientists, bioinformaticians, and IT staff to understand AWS requirements and provide technical solutions. Troubleshoot and resolve AWS infrastructure-related issues to ensure minimal disruption to research operations. Optimization And Continuous Improvement Continuously monitor, assess, and optimize AWS infrastructure for cost efficiency, performance, and scalability. Stay updated on the latest AWS technologies and integrate relevant advancements into the : Education Bachelors degree in Computer Science, Information Technology, Engineering, or a related field. Experience 5+ years of hands-on experience working with core AWS services including EC2, S3, RDS, Lambda, VPC, and IAM. Proven experience with HPC environments and large-scale cloud-based data processing. Proficiency in infrastructure-as-code tools such as Terraform, AWS CloudFormation, or AWS CDK. Skills In-depth understanding of AWS best practices including security, cost optimization, and performance tuning. Experience with CI/CD pipelines, automation, and DevOps methodologies within AWS. Excellent troubleshooting and problem-solving skills. Strong communication skills with the ability to engage both technical and non-technical stakeholders. Preferred Qualifications AWS Certified Solutions Architect Associate or Professional. Experience working with AI/ML tools on AWS (e.g., SageMaker). Prior experience supporting pharmaceutical or life sciences clients, especially in drug discovery or research environments. (ref:hirist.tech)

Job Description: The Data/AI Engineer is an individual contributor role focused on advancing AT&T’s enterprise-scale AI solutions by developing, deploying, and maintaining robust machine learning operations pipelines and data engineering solutions. This role requires a strong blend of AI, data engineering, and MLOps expertise, ideally with exposure to technology, fraud management, and financial or risk domains. The ideal candidate thrives in agile product development environments and has a proven track record delivering scalable, production-ready AI products. Key Responsibilities Design, build, and optimize scalable data pipelines for ingestion, processing, and integration from diverse data sources. Develop and deploy AI and machine learning models into production environments, ensuring reliability and scalability. Utilize cloud platforms (AWS, Azure, GCP) and modern data technologies (e.g., Snowflake, Databricks, Kafka) to manage large-scale data workflows. Collaborate closely with data scientists and analysts to translate analytical models into operational AI solutions. Implement data quality checks, monitoring, and alerting to ensure data integrity and model performance. Support continuous integration and continuous deployment (CI/CD) processes for AI and data workflows. Apply best practices for data security, privacy, and compliance within all engineering solutions. Troubleshoot and resolve data and AI system issues in production environments. Document architecture, processes, and technical specifications to ensure maintainability and knowledge sharing. Stay up-to-date with emerging technologies and industry trends in data engineering and AI. Experience working in agile/scrum product development teams. Strong analytical and problem-solving skills with a client-focused mindset. Excellent communication and presentation skills for conveying complex analytics and AI concepts to diverse audiences. Qualifications Required: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. Proven experience in data engineering and AI/ML model deployment in enterprise environments. Proficiency in programming languages such as Python, SQL, and familiarity with Spark or similar distributed computing frameworks. Experience with cloud data platforms and services (AWS, Azure, GCP). Strong understanding of data pipeline architecture, ETL/ELT processes, and data warehousing concepts. Familiarity with containerization (Docker) and orchestration tools (Kubernetes) is a plus. Excellent problem-solving skills and ability to work collaboratively in cross-functional teams. Preferred: Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Knowledge of real-time data streaming technologies (Kafka, Kinesis). Understanding of data governance, data privacy regulations, and responsible AI principles. Experience with CI/CD pipelines and automation tools for ML workflows. Strong communication skills for technical and non-technical audiences. Familiarity with Generative AI, Large Language Model (LLM) workflows, and Graph-based Retrieval-Augmented Generation (RAG) techniques. Background in telecommunications, fraud management, financial services, or risk analytics. Knowledge of responsible AI practices, data governance, and bias mitigation strategies. Willingness to work flexible shifts as required to support business operations. #DataEngineering Weekly Hours: 40 Time Type: Regular Location: IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. JobCategory:BigData

Deadline for sending application: 01/08/2025 at 12.00 noon (CET). WE ARE The European External Action Service (EEAS) supports the High Representative in the exercise of her mandate to conduct and implement an effective and coherent Union’s Common Foreign and Security Policy (CFSP), to represent the EU and to chair the Foreign Affairs Council. It also supports the High Representative in her capacity as Vice-President of the Commission with regard to her responsibilities within the Commission in the external relations field, including the coordination of other aspects of the EU's external action. The EEAS works in close cooperation with the EU Member States, the General Secretariat of the Council, the services of the Commission and the Secretariat General of the European Parliament. The mission of the Americas directorate is to promote partnership between the people and governments of the European Union and the Americas. We do this by defining, promoting and implementing a clear policy towards the regions on behalf of the institutions and Member States of the EU. The Americas directorate comprises four Divisions (3 geographic and 1 regional). WE PROPOSE The position of Assistant to Deputy Managing Director, contract agent FGII as per article 3b of the Conditions of Employment of Other Servants of the European Union (hereafter, the “CEOS”)[1]. PLACE and DATE OF EMPLOYMENT ‎EEAS Headquarters, Brussels, Belgium Post available: 1 September 2025 LEGAL BASIS The vacancy is to be filled in accordance with the conditions stipulated under the CEOS, in particular Article 82 thereof. In case of recruitment, the successful candidate will be offered a contract agent position (Function group II), on the basis of a contract with an initial duration of one year that may be successively renewed up to a maximum duration of six years[2], subject to the maximum duration of engagement by the EEAS allowed under successive limited duration contracts of different types[3]. WE LOOK FOR Skills A dynamic, flexible and proactive colleague with good communication and organizational skills with a developed sense of service. The secretary should be able to quickly adapt to new working environment and be a good team-player. The successful candidate should have good computer skills, a sound knowledge of the standard IT applications and administrative procedures. He/she will be entrusted with the following main tasks: provide efficient secretarial support to the Deputy Managing Director and designated staff members according to needs/requests; carry out various administrative tasks such as diary-keeping, filtering telephone calls, filing and ordering supplies, dealing with correspondence; document management: registration of incoming and outgoing correspondence, including in Ares and handling documents shared in HIVE; organize missions of the Deputy Managing Director using MIPS+ application; provide logistical support in the organization of general meetings (reservation of meeting rooms, protocol, sending invitations, catering requests, accreditation of visitors); assist in welcoming and informing outside visitors in accordance with security regulations; assist in maintaining contact and communication with diplomatic missions; co-ordinate the creation, keeping up to date and retrieval of documents and data in the appropriate files or IT databases; ensure the preparation of briefing files, speeches, etc; provide back-up as required for Assistant to MD; ensure correct procedures are followed in relation to the Data Protection Regulation and use of Data Protection notifications. Eligibility criteria [4] Further to the conditions set out in Article 82 of the CEOS, candidates must: have passed a valid EPSO CAST in a valid function group for this post, or be registered in the EPSO Permanent CAST in a valid function group for this post (https://epso.europa.eu/en/job-opportunities/open-for-application). In the latter case, while the registration will make the candidate eligible for the selection procedure, the recruitment of a candidate on this vacant post will be subject to his/her successfully passing the CAST exam; have a level of post-secondary education attested by a diploma or a level of secondary education attested by a diploma giving access to post-secondary education and appropriate professional experience of three year; have the capacity to work in the languages of the CFSP and external relations (English and French) necessary for the performance of their duties; be a national of one of the Member States of the European Union and enjoy full rights as a citizen. Selection criteria Candidates Should be able to work autonomously and as part of the MD team; have excellent communication skills; be self-motivated, service-oriented and have a sense of initiative; have experience of working in a team in a multi-disciplinary and multi-cultural environment; have experience in working within other EU institutions; be flexible and adaptable to changing priorities; Furthermore have experience or demonstrated ability to working within diplomatic environments, including liaison with diplomatic missions and coordination of events, would be considered assets; very good knowledge of English, Spanish and French is required. CONDITIONS OF RECRUITMENT AND EMPLOYMENT CONFLICT OF INTEREST AND SECURITY RISKS As a matter of policy, applications by individuals who have dual nationality of which one of a non-EU country, will be considered on a case-by-case basis taking account in particular of the functions attributed to the vacant post. The EEAS also examines if there could be a conflict of interest or security risks. In this context, candidates shall fill in with their application a declaration of potential conflict of interest (see attached). MEDICAL CLEARANCE The signature of the contract will be subject to prior favourable opinion of the Medical Service. PERSONNEL SECURITY CLEARANCE (PSC) The requested level of security clearance for this post is: SECRET UE/EU SECRET. A description of the EU classified information levels is available under Article 2 of Annex A of the Decision ADMIN(2023) 18 on the security rules of the EEAS[5]. The selected candidate should hold, or be in the position to obtain, a valid Personnel Security Clearance (hereafter, the “PSC”)[6] issued by the competent authority of the Member State concerned. Candidates who do not already have a valid PSC will be required to go through the security clearance vetting procedure of their Member State to obtain this clearance in accordance with national laws and regulations and with the procedure laid down in the Decision ADMIN(2019)7 on Security Clearance Requirements and Procedures for the EEAS of 08 March 2019 and in Annex A I of the Decision ADMIN(2023) 18 on the security rules of the EEAS. Until the PSC is issued by the competent authority of the Member State concerned, the selected candidate will not be authorised to access EUCI at the level of CONFIDENTIEL UE/EU CONFIDENTIAL or above, or to participate in any meetings or workflow where EUCI is processed. Please note that the necessary procedure for obtaining a PSC can be initiated on request of the employer only, and not by the individual candidate. In case of failure to obtain or renew the required PSC, the AACC may take the appropriate measures in accordance with Article 3(3) of the Decision ADMIN(2019) 7 on Security Clearance Requirements and Procedures for the EEAS of 08 March 2019. EQUAL OPPORTUNITIES The EEAS is committed to an equal opportunities policy for all its employees and applicants for employment. As an employer, the EEAS is committed to promoting gender equality and to preventing discrimination on any grounds. It actively welcomes applications from all qualified candidates from diverse backgrounds and from the broadest possible geographical basis amongst the EU Member States. We aim at a service, which is truly representative of society, where each staff member feels respected, is able to give their best and can develop their full potential. Candidates with disabilities are invited to contact CONTRACTAGENTS-HQ@eeas.europa.eu in order to accommodate any special needs and provide assistance to ensure the possibility to pass the selection procedure in equality of opportunities with other candidates. If a candidate with a disability is selected for a vacant post, the EEAS is committed to providing reasonable accommodation in accordance with Art 1(d)(4) of the Staff Regulations. APPLICATION AND SELECTION PROCEDURE [7] Please send your CV and cover letter (with your EPSO CAST number), in English or French, and the attached declaration of potential conflict of interest via email, with reference to the Vacancy Number in the Subject field, to: POL-AMERICAS@eeas.europa.eu Deadline for sending application: 01/08/2025 at 12.00 noon (CET) . Candidates shall draft their CV using the Europass CV, which can be found at the following internet address: http://europass.cedefop.europa.eu/en/documents/curriculum-vitae. Late applications will not be accepted . The selection panel will make a pre-selection on the basis of the qualifications and professional experience described in the CV and motivational letter, and will produce a shortlist of eligible candidates who best meet the selection criteria for the post. Please note that only shortlisted candidates will be informed about the outcome of the pre-selection phase. The candidates who have been preselected will be invited for an interview by a selection panel. The selection panel may decide, subsequent to the interview, to organise written tests, either for all pre-selected candidates or to the best ranked ones. The content of such written tests will be defined by the selection panel and may include, but not be limited to, multiple choice questions, open questions and/or topics for a short essay. Pre-selected candidates without a valid CAST shall be invited to sit the CAST exam before or after the interview stage (in accordance with the eligibility criteria set out above). The panel will then recommend a shortlist of candidates for a final decision by the Authority Authorised to Conclude Contracts of Employment (hereafter, the “AACC”). The AACC may decide to interview the candidates on the final shortlist before taking this decision. It is recalled that the selection procedure may be terminated at any stage in the interest of the service. In the interest of the service, after identifying the candidate that best fits the requirements of the post as set out in the vacancy notice, the AACC may also establish a reserve list of candidates. These candidates shall be informed that the reserve list shall remain valid for a period of one year from when it is established and that it may be used to fill the same post or an equivalent post in the EEAS with the same job profile. [1] Staff Regulations of Officials of the European Union (SR) and the Conditions of Employment of Other Servants of the European Union (CEOS). [2] Article 8 of the Commission Decision C(2017) 6760 of 16.10.2017 on the general provisions for implementing Article 79(2) of the Conditions of Employment of Other Servants of the European Union, governing the conditions of employment of contract staff employed by the Commission under the terms of Articles 3a and 3b thereof. [3] Decision ADMIN(2023) 24 on the maximum duration of engagement by the European External Action Service of non-permanent staff under successive limited duration contracts of different types, and on the minimum lapse of time between successive contracts under Article 2(e) of the CEOS. [4] All the eligibility criteria must be met on the closing date for applications to this post. [5] OJ C 263, 26 July 2023, p.16. [6] The ‘Personnel Security Clearance’ is defined under point 2 of Annex A I of the Decision ADMIN(2023) 18 on the security rules of the EEAS as “a statement by a competent authority of a Member State which is made following completion of a security investigation conducted by the competent authorities of a Member State and which certifies that an individual may, provided his ‘need-to-know’ has been determined, be granted access to EUCI up to a specified level (CONFIDENTIEL UE/EU CONFIDENTIAL or above) until a specified date; the individual thus described is said to be ‘security cleared’.” [7] Your personal data will be processed in accordance with Regulation (EU) 2018/1725, as implemented by ADMIN(2019)8 Decision of the High Representative of the Union for Foreign Affairs and Security Policy. The privacy statement is available on the Europa website: (https://www.eeas.europa.eu/eeas/eeas-privacy-statement-data-protection-notice-purpose-processing-personal-data-related-public_en) and on the EEAS Intranet:(https://intranet.eeas.europa.eu/page/eeas-work/data-protection/privacy-statements-dp-notices).

Title: Senior Executive- QA Custom Field 2: 2656 Location: NEOU-1300, Gujarat, IN Country/Region: IN State: Guja City: NEOU-1300 Company: Dishman Carbogen Amcis Limited Business Unit: General Travel Description: Review BMR's and analytical documents. Issuance, retrieval, distribution and destruction of all QA related documents.3. Issuance of Batch Manufacturing records and allocation of Batch. To ensure compliance with existing SOPs, CGMP/CGLP. Ensure that documents issued retrieval, and destruction as per procedure. Monitoring of calibration of process equipments and related documents. Monitoring of Packing related activities and related records. Sampling of finished product and related records. Check and review of cleaning related documents. Review of production related documents. Timely document support to regulatory & customer audit compliance. Ensure that sampling, dispatch and labeling activities is being carried out as per procedure. To release the finished product after reviewing Batch documents. Review and maintain the vendor updating procedure. Preparation and review of the data for annual product review. Stability Study management. Handling of Quality Risk Management Job Segment: Compliance, Risk Management, QA, Quality Assurance, Law, Legal, Finance, Quality, Technology

Generative AI Engineer (Hands-on Development Role) Location: Winfo Solutions Job Type: Full-time Experience: 6-10 years Industry: IT Consulting About The Role We are looking for a Generative AI Engineer with strong software engineering skills and hands-on experience in developing AI-powered applications . This role involves coding AI-driven solutions, developing APIs, integrating models into products, and building scalable AI systems for production use. Key Responsibilities Develop AI-driven applications by integrating LLMs and generative models into real-world software solutions. Design and build APIs for LLMs and GenAI models (FastAPI, Flask, Django). Write production-ready code to integrate AI features into web applications, chatbots, document processing tools, and recommendation systems. Fine-tune and optimize LLMs (GPT, LLaMA, Gemini, Claude, Mistral) for performance in real-time applications. Develop AI-powered chatbots, document extraction tools, and automation systems using LangChain, Haystack, or Semantic Kernel. Implement vector search using FAISS, ChromaDB, or Pinecone for retrieval-augmented generation (RAG) applications. Work with databases (PostgreSQL, MongoDB, Redis) to manage AI-driven data workflows. Build scalable AI microservices and integrate them into enterprise applications. Collaborate with backend engineers, data engineers, and DevOps teams to ensure seamless deployment of AI models. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Software Engineering, AI, or related field. 6+ years of experience in software development, AI engineering, or full-stack AI application development. Strong Python coding skills with experience in frameworks like FastAPI, Flask, Django. Hands-on experience developing APIs for AI models and integrating them into real-world applications. Experience with LLM APIs (OpenAI, Gemini, Claude, Mistral, etc.) and fine-tuning custom models. Strong knowledge of vector databases (FAISS, ChromaDB, Pinecone) for AI-powered search. Experience working with WebSockets, asynchronous programming, and RESTful APIs. Database experience with PostgreSQL, MongoDB, or Redis for AI-driven applications. Experience with MLOps pipelines (MLflow, Airflow, Prefect) for model retraining and monitoring. Good To Have Skills & Qualifications Familiarity with containerization (Docker, Kubernetes) and cloud-based AI deployments (AWS, GCP, Azure). Basics of probabilistic models, deep learning techniques, NLP, and embeddings.

The Ops Sup Analyst 1 is an entry-level 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 Sup Analyst 1 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: Perform business analysis and documentation of the current and future state of Client Reports and Advices (client communication letters, notices, and confirms) Provide regular status updates for all project participants and create presentations for steering committee updates Work with various Legal & Compliance teams to obtain sign-off on all regulatory business requirements Serve as primary liaison between the key business stakeholder and technology, including recommending business priorities by advising stakeholders on options, risks, costs, prioritizations, and delivery timelines Recommend business priorities by advising stakeholders on options, risks, costs, prioritizations, and delivery timelines Create and facilitate training sessions, webcast demos and write User Acceptance Test scripts and business scenarios against specified requirements Create, manage and maintain project plans and act as the project manager for all follow ups across various departments Work on multiple projects in parallel focusing on continued delivery of regulatory client deliverables, such as legal statements/performance reporting/advices/letters/notices Fulfilling the clients’ necessities while providing an exceptional client experience is the expected behavior from all our employees and it will be measured by specific metrics. 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: Previous relevant experience preferred Proficient in Microsoft Office General knowledge of client reporting across the industry and our competitors Working knowledge of SQL environments and database queries Proven organization and time management skills Demonstrated problem-solving and decision-making skills Consistently demonstrates clear and concise written and verbal communication skills Education: Bachelor’s degree/University degree or equivalent experience 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: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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 Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Summary Executive-Stores & Logistics will be responsible for smooth functioning of inbound & outbound activities of Stores and Logistics. Main Responsibilities Receipt & Issue of material with proper documentation Managing raw material & FG inventory in the respective stores Physical vs book stock variation is kept under check & control Implementation of 5S, FIFO & other such initiatives for proper storage of material Maintain the layout, storage norms as per the guidelines Plan dispatches in coordination with PPC team, Invoicing, Organizing Vehicle Make sure OTD at customer end as per the agreed delivery lead time Optimum utilization of the contracted vehicle & market hire and continuously work on ways & means to keep the transport cost under check & control Ensure all legal documentation are complied with and necessary procedures are in place for storage & retrieval of data for audit and verification purposes Coordinate with C&F Agency & Finance team for import material receipt & documentation Ensure proper disposal of scrap and documentation thereof Maintain documents as per the QMS & EMS Process EDUCATION Full time Graduate / Graduate MBA / Degree / Diploma in Engineering Experience Maximum 4 to 5 years of experience in managing the stores & logistics function LANGUAGES Proficiency in local language & fluent in English Skills And Competences Advance XL knowledge, Tally, Eye for details, Good numerical ability Additional Information Person working in a manufacturing setup, managing large volume & variants of SKUs in stores & logistics function

Job Title: Python Developer Experience Level: 5-7 Years Location : Hyderabad Job Description We are seeking an experienced Lead Python Developer with a proven track record of building scalable and secure applications, specifically in the travel and tourism industry. The ideal candidate should possess in-depth knowledge of Python, modern development frameworks, and expertise in integrating third-party travel APIs. This role demands a leader who can foster innovation while adhering to industry standards for security, scalability, and performance. Roles and Responsibilities Application Development: Architect and develop robust, high-performance applications using Python frameworks such as Django, Flask, and FastAPI. API Integration: Design and implement seamless integration with third-party APIs, including GDS, CRS, OTA, and airline-specific APIs, to enable real-time data retrieval for booking, pricing, and availability. Data Management: Develop and optimize complex data pipelines to manage structured and unstructured data, utilizing ETL processes, data lakes, and distributed storage solutions. Microservices Architecture: Build modular applications using microservices principles to ensure scalability, independent deployment, and high availability. Performance Optimization: Enhance application performance through efficient resource management, load balancing, and faster query handling to deliver an exceptional user experience. Security and Compliance: Implement secure coding practices, manage data encryption, and ensure compliance with industry standards such as PCI DSS and GDPR. Automation and Deployment: Leverage CI/CD pipelines, containerization, and orchestration tools to automate testing, deployment, and monitoring processes. Collaboration: Work closely with front-end developers, product managers, and stakeholders to deliver high- quality, user-centric solutions aligned with business goals.Requirements  Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.  Technical Expertise: o At least 4 years of hands-on experience with Python frameworks like Django, Flask, and FastAPI. o Proficiency in RESTful APIs, GraphQL, and asynchronous programming. o Strong knowledge of SQL/No SQL databases (PostgreSQL, MongoDB) and big data tools (e.g., Spark, Kafka). o Experience with cloud platforms (AWS, Azure, Google Cloud), containerization (Docker, Kubernetes), and CI/CD tools (e.g., Jenkins, GitLab CI). o Familiarity with testing tools such as PyTest, Selenium, and SonarQube. o Expertise in travel APIs, booking flows, and payment gateway integrations.  Soft Skills: o Excellent problem-solving and analytical abilities. o Strong communication, presentation, and teamwork skills. o A proactive attitude with a willingness to take ownership and perform under pressure.

The Ops Sup Analyst 2 is an intermediate level 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 Sup Analyst 2 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: Update help content used by Knowledge Hub end users to service client inquires, as needed Execute work assigned, including annual review certification and change requests Serve as liaison to business for work assignments by asking fact finding questions, following up on open items and helping with content approval Conduct needs assessment and update content or develop content related solutions according to business requirements Research and seek out solutions to inquiries on help content and all other open items related to business including policy gaps and changes Monitor work progression ensuring completion of assignments by requested due date Ensure consistent application of team process controls Fulfilling the clients’ necessities while providing an exceptional client experience is the expected behavior from all our employees and it will be measured by specific metrics. 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: 5 -7 years relevant experience Proficient in Microsoft Office Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Self-motivated and detail oriented Proven organization and time management skills Demonstrated problem-solving and decision-making skills Consistently demonstrates clear and concise written and verbal communication skills Education: Bachelor’s degree/University degree or equivalent experience 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: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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 Citi’s EEO Policy Statement and the Know Your Rights poster.

The Ops Sup Analyst 2 is an intermediate level 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 Sup Analyst 2 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: Update help content used by Knowledge Hub end users to service client inquires, as needed Execute work assigned, including annual review certification and change requests Serve as liaison to business for work assignments by asking fact finding questions, following up on open items and helping with content approval Conduct needs assessment and update content or develop content related solutions according to business requirements Research and seek out solutions to inquiries on help content and all other open items related to business including policy gaps and changes Monitor work progression ensuring completion of assignments by requested due date Ensure consistent application of team process controls Fulfilling the clients’ necessities while providing an exceptional client experience is the expected behavior from all our employees and it will be measured by specific metrics. 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: 5 - 7 years relevant experience Proficient in Microsoft Office Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Self-motivated and detail oriented Proven organization and time management skills Demonstrated problem-solving and decision-making skills Consistently demonstrates clear and concise written and verbal communication skills Education: Bachelor’s degree/University degree or equivalent experience 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: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 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 Citi’s EEO Policy Statement and the Know Your Rights poster.

Join our “Digital Service Lab” at DHL Global Forwarding, Freight (DGFF) GSC – Global Service Centre! Job Title: Expert, Data Scientist - Digital Service Lab Job Location: India – Chennai Business Area: GSC, DGFF Department: DSL Grade: L Are you dynamic and results-oriented with a passion for logistics? Join our high-performing Global Shared Services Team (GSC) at DHL Global Forwarding, Freight (DGFF); a Great Place to Work certified organization and one of the “Top 20 most admired Shared Services Organizations in 2022” by the independent global Shared Services & Outsourcing Network (SSON). We are the captive Shared Service Provider for DHL Global Forwarding and DHL Freight (DGFF). We are an organization of more than 4,600 colleagues complemented by approximately 500 virtual FTE (i.e., bots applied in process automation). Our colleagues are based across six service delivery centers in Mumbai, Chennai, Chengdu, Manila, Bogota & Budapest. You will interact with people from all over the world and get the chance to a truly international organization. As an Expert Data Scientist at DSL, the role will lead data analysis and modelling initiatives, collaborating with cross-functional teams to derive actionable insights and drive decision-making processes. With advanced expertise in machine learning and statistical analysis, the role will be key in translating complex data into strategic recommendations to support DSL's objectives and foster innovation. Key Responsibilities: Data Analysis & Model Development: Design, develop, and implement machine learning models to solve business problems. Conduct data preprocessing, feature engineering, and exploratory data analysis to derive meaningful insights. Validate and fine-tune models to ensure accuracy and efficiency. Generative AI & RAG Implementation: Develop and deploy generative AI models to improve automation and decision-making processes. Apply Retrieval-Augmented Generation (RAG) techniques to enhance information retrieval and response generation. Research and experiment with state-of-the-art generative AI methodologies to drive innovation. Business Insight & Reporting: Translate complex data findings into actionable business insights. Develop dashboards, visualizations, and reports to effectively communicate data-driven insights to stakeholders. Collaborate with business units to identify opportunities for leveraging data to drive strategic decisions. Collaboration & Cross-Functional Support: Work closely with data engineers, product managers, and business stakeholders to gather requirements and deliver solutions. Participate in team meetings to discuss project progress, challenges, and innovative ideas. Support senior data scientists in large-scale projects and contribute to the development of best practices. Continuous Learning & Innovation: Stay updated with the latest trends in data science, machine learning, and AI. Experiment with new algorithms and technologies to enhance existing models and solutions. Participate in knowledge-sharing sessions within the team and organization. Data Governance & Best Practices: Ensure data integrity, security, and compliance with company policies. Maintain clear documentation of models, methodologies, and workflows. Promote best practices in coding, data management, and model deployment Required Skills/Abilities: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. 2-3 years of professional experience in data science, machine learning, or AI roles. Proficiency in Python or R, and data science libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch. Strong knowledge of SQL and experience with relational and non-relational databases. Strong knowledge of generative AI models and hands-on experience with implementing Retrieval-Augmented Generation (RAG) concepts. Basic understanding of version control (Git) and CI/CD pipelines. Experience with data visualization tools like Power BI, Tableau, or matplotlib. Strong analytical and problem-solving skills with a data-driven mindset. Ability to communicate complex technical concepts to non-technical stakeholders. Team player with strong collaboration and interpersonal skills. Eagerness to learn new technologies and contribute to innovative projects. Familiarity with APIs and system integrations for data processing. Understanding of ethical AI practices and data privacy considerations. Join our team at DHL Global Forwarding, Freight (DGFF), Shared Services (GSC), a Great Place to Work certified organization and as a part of a forwarding division, proud recipient of multiple prestigious awards, including Top Employer in India, Top Employer Asia Pacific, and Top Employer Global. Apply now and embark on an exciting journey with us! We offer: We recognize and reward your hard work through a competitive compensation and performance-based incentive. We empower you to learn and grow through training that gives you the knowledge, skills, and abilities to develop into your role and a great range of resources to support your future career aspirations & personal development. Flexible work arrangements to support work/life balance. Generous paid time off: Privilege (earned leave). Comprehensive medical insurance coverage including voluntary parental cover (applicable for IN only) Recognition & Engagement culture By joining one of the world's leading logistics companies, you have a chance to explore a wide range of interesting job challenges and opportunities across our GSC service lines and in our different divisions around the globe. The largest global network with over 35,000 passionate employees. The most efficient processes and fastest response times. The best solutions and customer service.

Job Description 8+ years of experience in software development, using Dotnet Core/SQL with integration implementation using ETL concepts Develop and implement cloud solutions across a diverse range of projects, which can include application development, identity/access management, network, and data management. Development and deploying production systems on Nintex/SharePoint and .Net platform Work in coordination with other departments to implement changes in architecture Manage the SharePoint product life cycle including project design, issue resolution, requirements gathering, design, configuration, implementation/testing, and support of SharePoint solutions managing, optimizing, overseeing, and monitoring the retrieval, storage, and distribution of data identify dependencies and common infrastructure components, and to assess migration feasibility build on-premise solutions for clusters and patterns Designs, develops, debugs, produces, refines, tests, deploys, maintains and documents SharePoint/Web solutions using customized as well as out-of-the-box functionality including web parts, InfoPath forms, custom workflows, templates and master pages Ability to use continuous integration and distribution pipelines to deploy applications MS SQL Development such as Custom Queries, Stored Procedures, Triggers, etc. Exposure to JavaScript framework Angular or ReactJS Work with other SharePoint and .NET developers to troubleshoot and debug new and existing third-party and custom workflows and other in-house custom SharePoint solutions. Knowledge of workflow integration in Cloud-Based environments such as Azure Knowledge of the following is a plus: SSIS, XML,SSRS Strong communication skills and Oil and Gas domain experience is a plus Experience in the areas like EDI/ XML and BizTalk / EDI Configuration ESB Toolkit WCF WCF-SQL BizTalk Data Mapping using SAP.Net Connectors HTTP Adaptor is a plus Responsibilities Responsible for analyzing the business requirements Designing the solution and coding and/or configuring as per the design or solution approach and testing Implementation and post implementation validation for new development and enhancement efforts Creating the documentation required as a part of application development/enhancement effort as per the process Qualifications BE/B.Tech/MCA in Computer Science/Information technology Excellent communication skills About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

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. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. 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.

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. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. 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.

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. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. 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.

Please Note: English language proficiency is required for this role. This is a full-time , work from office role. This requires a U.S. schedule - India Night shift. Work Location: This is a Work from Office position and location is Bangalore at: Block 12B, Pritech Park,3rd Floor, SEZ Survey No 51-64/4, Bellandur,Village. Bldg 9A Rd, Bengaluru –Karnataka 560103 Shift: Night Contact: Nirmala 911 301 5045 Build Your Future! Come join our thriving team as a Claims Resolution Specialist! We are seeking ambitious, self-motivated and driven people just like you for a rewarding career in the RCM Healthcare arena. Why should you consider TSI (part of TSI family of companies)? Paid training Team-oriented work environment Growth opportunity Generous Incentive opportunity Comprehensive benefits package available: including medical insurance, paid time off and paid holidays! Transport facility (As per policy and shift) - Transportation provided Working 5 days/week TSI Healthcare specializes in revenue cycle management, offering tailored solutions for healthcare providers to address third-party insurance claims denials, manage underpayments, and optimize reimbursement processes. The Claim Resolution Specialist plays a versatile role in the claims workflow, tasked with submitting appeals to overturn denials and trigger payments or determining whether further action, such as additional appeals or account closure, is required. Specialists in this role may prioritize tasks based on claim complexity and workload, ensuring optimal productivity while maintaining compliance and accuracy. By efficiently processing high volumes of low-balance claims, the specialist ensures compliance, accuracy, and revenue recovery that supports client success. Appeal Submission and Resolution: Prepare and submit well-documented and persuasive appeals for denied claims, leveraging payer guidelines, contracts, fee schedules, and medical records to resolve issues and trigger payments. Escalation Management: Address claims escalated by Claim Status Specialists, resolving complex denial scenarios such as coding disputes, medical necessity issues, or payer policy conflicts. Underpayment Resolution: Investigate and address discrepancies between expected and actual payments, taking corrective action to resolve underpayments. Final Determination: Evaluate claims to determine if they are resolved or require further action, such as additional appeals, escalation, or account closure based on client requirements. Account Closure: Review and close accounts when collection efforts have been exhausted, ensuring proper documentation and compliance with client guidelines. Account Review Feedback: Identify incorrectly resolved claims and return them to the appropriate team for review, correction, or training, contributing to process improvements. Collaboration: Utilize documentation provided by Document Retrieval Specialists and Claim Status Specialists to perform resolution activities efficiently High school diploma or equivalent required. Minimum of three years of experience in healthcare claims management, denial resolution, or appeal writing. · Experience in high-volume, low-balance claims processing preferred. Familiarity with payer-specific policies, reimbursement methodologies, and contract terms. Knowledge of coding principles (e.g., CPT, ICD-10, HCPCS) and medical necessity documentation is a plus This job description is not an exclusive or exhaustive list of all job functions that a team member in this position may be asked to perform. Duties and responsibilities can be changed, expanded, reduced, or delegated by management to meet the business needs of the company. We provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, status as a protected veteran, genetic information, status as a qualified individual with a disability and any other basis protected by federal, state or local laws INDJOBS

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist What you’ll do Work on the architecture and development of AI/ML solutions, with a focus on Large Language Models (LLMs) and prompt engineering. Work on fine-tuning and deployment of pre-trained models using domain-specific data. Guide the implementation of Retrieval-Augmented Generation (RAG) systems and manage vector database integration. Drive experimentation and innovation in NLP, ML, and AI technologies, ensuring alignment with business goals. Ensure adherence to ethical AI practices, focusing on fairness, transparency, and accountability. Collaborate with architects, product managers and business stakeholders to translate requirements into scalable technical solutions. Promote best practices in software development, including CI/CD pipelines, code reviews, and version control using GitHub. Present complex technical solutions and roadmaps clearly to both technical and non-technical audiences. Requirements To be successful in this role, you should meet the following requirements: Proven experience of 2+ years as a Prompt Engineer in AI/ML projects. Deep knowledge of LLM architectures, prompt engineering, and RAG. Strong coding skills in Python and working knowledge of SQL, GitHub, and CI/CD processes. Experience with cloud environments (Azure / GCP). Excellent leadership, communication, and stakeholder management skills, can present technical solutions, capabilities, considerations, and features to business parties Ability to manage multiple priorities and technology work for building NLP, ML & AI solutions experience in experimenting and developing with LLM Follow AI best practices, ensuring fairness, transparency and accountability in AI model and system are followed by the team. You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

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. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. 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.

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description About the Role We are seeking a highly skilled Senior AI Engineer with deep expertise in Agentic frameworks, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, MLOps/LLMOps, and end-to-end GenAI application development. In this role, you will design, develop, fine-tune, deploy, and optimize state-of-the-art AI solutions across diverse enterprise use cases including AI Copilots, Summarization, Enterprise Search, and Intelligent Tool Orchestration. Key Responsibilities Develop and Fine-Tune LLMs (e.g., GPT-4, Claude, LLaMA, Mistral, Gemini) using instruction tuning, prompt engineering, chain-of-thought prompting, and fine-tuning techniques. Build RAG Pipelines: Implement Retrieval-Augmented Generation solutions leveraging embeddings, chunking strategies, and vector databases like FAISS, Pinecone, Weaviate, and Qdrant. Implement and Orchestrate Agents: Utilize frameworks like MCP, OpenAI Agent SDK, LangChain, LlamaIndex, Haystack, and DSPy to build dynamic multi-agent systems and serverless GenAI applications. Deploy Models at Scale: Manage model deployment using HuggingFace, Azure Web Apps, vLLM, and Ollama, including handling local models with GGUF, LoRA/QLoRA, PEFT, and Quantization methods. Integrate APIs: Seamlessly integrate with APIs from OpenAI, Anthropic, Cohere, Azure, and other GenAI providers. Ensure Security and Compliance: Implement guardrails, perform PII redaction, ensure secure deployments, and monitor model performance using advanced observability tools. Optimize and Monitor: Lead LLMOps practices focusing on performance monitoring, cost optimization, and model evaluation. Work with AWS Services: Hands-on usage of AWS Bedrock, SageMaker, S3, Lambda, API Gateway, IAM, CloudWatch, and serverless computing to deploy and manage scalable AI solutions. Contribute to Use Cases: Develop AI-driven solutions like AI copilots, enterprise search engines, summarizers, and intelligent function-calling systems. Cross-functional Collaboration: Work closely with product, data, and DevOps teams to deliver scalable and secure AI products. Qualifications 5+ years of experience in AI/ML roles, focusing on LLM agent development, data, science workflows, and system deployment. A Bachelor's degree in Computer Science, Software Engineering, or a related field Demonstrated experience in designing domain-specific AI systems and integrating structured/unstructured data into AI models. Proficiency in designing scalable solutions using LangChain and vector databases. Deep knowledge of LLMs and foundational models (GPT-4, Claude, Mistral, LLaMA, Gemini). Strong expertise in Prompt Engineering, Chain-of-Thought reasoning, and Fine-Tuning methods. Proven experience building RAG pipelines and working with modern vector stores (FAISS, Pinecone, Weaviate, Qdrant). Hands-on proficiency in LangChain, LlamaIndex, Haystack, and DSPy frameworks. Model deployment skills using HuggingFace, vLLM, Ollama, and handling LoRA/QLoRA, PEFT, GGUF models. Practical experience with AWS serverless services: Lambda, S3, API Gateway, IAM, CloudWatch. Strong coding ability in Python or similar programming languages. Experience with MLOps/LLMOps for monitoring, evaluation, and cost management. Familiarity with security standards: guardrails, PII protection, secure API interactions. Use Case Delivery Experience: Proven record of delivering AI Copilots, Summarization engines, or Enterprise GenAI applications. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, you’ll have a personal development plan to help you improve in the areas you’re looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. You’ll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and you’ll have the chance to take on more responsibility over time. So, if you’re looking for a career full of purpose and potential, we’d love to hear from you!

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. Job Description – Business Intelligence Developer (OAC, PowerBI, ETL, Data Modelling) Competency: Oracle ERP Analytics We are seeking an experienced Business Intelligence Developer with 7+ years of experience having expertise in Oracle Analytics Cloud (OAC), PowerBI, ETL tools, and Data Modelling to join our dynamic team. The successful candidate will be responsible for developing and maintaining scalable data models, creating insightful analytics dashboards, and managing ETL workflows to support data-driven decision-making across the organization. They will work closely with customers, data architects, software developers, and business analysts for suitable product development. The candidate will be highly skilled individual and will be accountable for their career development and growth in EY. Responsibilities: Collaborate with stakeholders to understand data requirements and translate business needs into data models. Design and implement effective data models to support business intelligence activities. Develop and maintain ETL processes to ensure data accuracy and availability. Create interactive dashboards and reports using Oracle Analytics Cloud (OAC) and PowerBI. Work with stakeholders to gather requirements and translate business needs into technical specifications. Optimize data retrieval and develop dashboard visualizations for performance efficiency. Ensure data integrity and compliance with data governance and security policies. Collaborate with IT and data teams to integrate BI solutions into the existing data infrastructure. Conduct data analysis to identify trends, patterns, and insights that can inform business strategies. Provide training and support to end-users on BI tools and dashboards. Document all processes, models, and activities to maintain transparency and facilitate knowledge sharing. Stay up to date with the latest BI technologies and best practices to drive continuous improvement. Qualifications: Bachelor’s degree in computer science, Information Systems, Business Analytics, or a related field. Proven experience with Oracle Analytics Cloud (OAC), PowerBI, and other BI tools. Strong experience in ETL (SSIS, Informatica, Dell Boomi etc) processes and data warehousing solutions. Proficiency in data modelling techniques and best practices. Solid understanding of SQL and experience with relational databases. Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud). Excellent analytical, problem-solving, and project management skills. Ability to communicate complex data concepts to non-technical stakeholders. Detail-oriented with a strong focus on accuracy and quality. Well-developed business acumen, analytical and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints. Strong consulting skills with proven experience in client and stakeholder management and collaboration abilities. Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs. Detail-oriented with a commitment to quality and accuracy. Good to have knowledge on data security and controls to address customer’s data privacy needs inline to regional regulations such as GDPR, CCPA et 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.

Job Description Send your Resume on WhatsApp No: +91-9828384287 Note: This position is open to Mumbai-based candidates only. Carrying out Civil Engineering works like surveying & levelling, checking of formwork fabrication. reinforcement fabrication as per drawings, witnessing sample retrieval & testing for various construction materials, ensuring concrete ingredient ratio at batching plant and pouring of appropriate grade of concrete in plain and reinforced concrete works. ensuring proper mixing of approved ingredients & waterproofing admixtures for mortars and brickwork, plaster, flooring & waterproofing works, and other civil & PH works including supervision of construction safety as per BARC specifications & relevant documentation, compiling, binding and preparation of tender documents & Agreements. IMPORTANT NOTE: 1.Police verification Certificate issued by Special Branch of police is required for Contractor,Engineers,Supervisors and all the labour to work inside BARC. Note: (1) one qualified Degree holder with 1 (one ) year experience/Diploma holder [with 3 year experience /Licentiate in Civil/Construction Engineering / Technology conducted by Board of Technical Examinations/ University/ Autonomous Govt/ Govt recognised Polytechnic/ Institute. (2)Deployment: The contractor shall deploy one Engineer for each job for minimum 26 working days per month for (minimum 8 1⁄2 hours per day with 30 minutes of break, in General (Ist / Ilnd) or on Round the clock shift including Saturdays, Sundays & holidays whenever necessary as per the discretion of the Engineer-in-Charge during the contract period. In case of emergency works like continuous pouring of concrete or shutdown/maintainance work, the person will have to stay longer occasionally as per the instruction of the Engineer-in-Charge. (3) Engineer should be engage after scrutiny of BARC Engineers and approved by Competent authority. Job Types: Full-time, Fresher Salary: ₹15,000.00 - 25,000.00 per month Schedule: Day shift Ability to commute/relocate: Mumbai Suburban, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Job Types: Full-time, Fresher, Internship, Contractual / Temporary Contract length: 6 months Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift Supplemental Pay: Overtime pay Education: Diploma (Preferred) Work Location: In person

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. Job Description – Business Intelligence Developer (OAC, PowerBI, ETL, Data Modelling) Competency: Oracle ERP Analytics We are seeking an experienced Business Intelligence Developer with 2+ years of experience having expertise in Oracle Analytics Cloud (OAC), PowerBI, ETL tools, and Data Modelling to join our dynamic team. The successful candidate will be responsible for developing and maintaining scalable data models, creating insightful analytics dashboards, and managing ETL workflows to support data-driven decision-making across the organization. They will work closely with customers, data architects, software developers, and business analysts for suitable product development. The candidate will be highly skilled individual and will be accountable for their career development and growth in EY. Responsibilities: Collaborate with stakeholders to understand data requirements and translate business needs into data models. Design and implement effective data models to support business intelligence activities. Develop and maintain ETL processes to ensure data accuracy and availability. Create interactive dashboards and reports using Oracle Analytics Cloud (OAC) and PowerBI. Work with stakeholders to gather requirements and translate business needs into technical specifications. Optimize data retrieval and develop dashboard visualizations for performance efficiency. Ensure data integrity and compliance with data governance and security policies. Collaborate with IT and data teams to integrate BI solutions into the existing data infrastructure. Conduct data analysis to identify trends, patterns, and insights that can inform business strategies. Provide training and support to end-users on BI tools and dashboards. Document all processes, models, and activities to maintain transparency and facilitate knowledge sharing. Stay up to date with the latest BI technologies and best practices to drive continuous improvement. Qualifications: Bachelor’s degree in computer science, Information Systems, Business Analytics, or a related field. Proven experience with Oracle Analytics Cloud (OAC), PowerBI, and other BI tools. Strong experience in ETL (SSIS, Informatica, Dell Boomi etc) processes and data warehousing solutions. Proficiency in data modelling techniques and best practices. Solid understanding of SQL and experience with relational databases. Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud). Excellent analytical, problem-solving, and project management skills. Ability to communicate complex data concepts to non-technical stakeholders. Detail-oriented with a strong focus on accuracy and quality. Well-developed business acumen, analytical and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints. Strong consulting skills with proven experience in client and stakeholder management and collaboration abilities. Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs. Detail-oriented with a commitment to quality and accuracy. Good to have knowledge on data security and controls to address customer’s data privacy needs inline to regional regulations such as GDPR, CCPA et 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.

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. Job Description – Business Intelligence Developer (OAC, PowerBI, ETL, Data Modelling) Competency: Oracle ERP Analytics We are seeking an experienced Business Intelligence Developer with 2+ years of experience having expertise in Oracle Analytics Cloud (OAC), PowerBI, ETL tools, and Data Modelling to join our dynamic team. The successful candidate will be responsible for developing and maintaining scalable data models, creating insightful analytics dashboards, and managing ETL workflows to support data-driven decision-making across the organization. They will work closely with customers, data architects, software developers, and business analysts for suitable product development. The candidate will be highly skilled individual and will be accountable for their career development and growth in EY. Responsibilities: Collaborate with stakeholders to understand data requirements and translate business needs into data models. Design and implement effective data models to support business intelligence activities. Develop and maintain ETL processes to ensure data accuracy and availability. Create interactive dashboards and reports using Oracle Analytics Cloud (OAC) and PowerBI. Work with stakeholders to gather requirements and translate business needs into technical specifications. Optimize data retrieval and develop dashboard visualizations for performance efficiency. Ensure data integrity and compliance with data governance and security policies. Collaborate with IT and data teams to integrate BI solutions into the existing data infrastructure. Conduct data analysis to identify trends, patterns, and insights that can inform business strategies. Provide training and support to end-users on BI tools and dashboards. Document all processes, models, and activities to maintain transparency and facilitate knowledge sharing. Stay up to date with the latest BI technologies and best practices to drive continuous improvement. Qualifications: Bachelor’s degree in computer science, Information Systems, Business Analytics, or a related field. Proven experience with Oracle Analytics Cloud (OAC), PowerBI, and other BI tools. Strong experience in ETL (SSIS, Informatica, Dell Boomi etc) processes and data warehousing solutions. Proficiency in data modelling techniques and best practices. Solid understanding of SQL and experience with relational databases. Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud). Excellent analytical, problem-solving, and project management skills. Ability to communicate complex data concepts to non-technical stakeholders. Detail-oriented with a strong focus on accuracy and quality. Well-developed business acumen, analytical and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints. Strong consulting skills with proven experience in client and stakeholder management and collaboration abilities. Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs. Detail-oriented with a commitment to quality and accuracy. Good to have knowledge on data security and controls to address customer’s data privacy needs inline to regional regulations such as GDPR, CCPA et 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.