18256 Tuning Jobs - Page 10

Job Title: DevOps Engineer – Tool Installation & Configuration Specialist Location: New Delhi Employment Type: Full-time Experience Required: 4–8 years Job Summary: We are seeking a highly skilled and detail-oriented DevOps Engineer with proven experience in installing, configuring, and managing a diverse range of development, testing, deployment, and monitoring tools. The ideal candidate will play a critical role in streamlining the DevOps & CI - CD pipeline and ensuring the smooth functioning of various open-source and enterprise tools used across our software development lifecycle. Key Responsibilities: Tool Installation & Configuration: Install, configure, and maintain a wide range of tools and platforms used for project management, development, testing, CI/CD, monitoring, and infrastructure automation. Ensure all systems are properly integrated, secured, and optimized for performance and scalability. System Administration & Support: Provide hands-on support for tool-related issues and troubleshoot environment problems. Maintain documentation for installations, configurations, best practices, and procedures. Automation & Scripting: Create scripts or templates (Bash, Python, YAML, etc.) for automated deployment and configuration of tools wherever possible. Security & Access Control: Configure proper user roles, permissions, and authentication integrations (e.g., Keycloak) to manage secure access to tools and environments. Performance Monitoring & Optimization: Use observability tools like Prometheus , Grafana , and Loki to monitor system health, application logs, and alerts. Tools Knowledge Required: Project Management & Design: OpenProject – Installation, workflow setup, user/group configuration Figma – Integration support for design-development pipelines Development Tools: Sublime Text – License management and plugin configurations Open Project , Figma, VS Code, Postman, Nexus Load Runner, Cucumber, Promethus, Loki, Gafana, Bhashini/Sarvam ,drupal Laravel Postman – Environment setups, API testing collections PHPUnit / Behat / Cucumber – Test suite integration and configuration GitHub – Repo management, Git workflows, Webhooks Jenkins – CI/CD pipelines, plugin configurations, jobs setup Docker – Containerization, custom image building, Docker Compose Kubernetes – Helm charts, cluster management, deployment setups Repository & Artifact Management: Nexus – Repository creation, access control, artifact management Performance & Load Testing: LoadRunner – Test scenario setup, result analysis Monitoring & Logging: Prometheus – Metric scraping, alert rules Loki – Log aggregation and configuration Grafana – Dashboard creation and data source configuration Language & AI Tools: Bhashini – Integration for language translation/voice services Tesseract – OCR installation and tuning Search & Indexing: Apache Solr – Core configuration, schema setup, tuning Database & Storage: MySQL – Database setup, backup/restore, performance tuning EISEN Vault – Secure document storage configuration Helpdesk & Ticketing: OS Tickets – Helpdesk system configuration, automation rules CMS & Frameworks: Drupal – Site setup, module configuration, deployment Laravel – Application setup, Artisan commands, environment configs Access & Security: Keycloak – Identity and access management configuration Apache APISIX – API gateway setup, plugin configuration Memcached – Installation, cache tuning, integration with applications Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field 4+ years of experience in DevOps or System Administration roles Strong Linux/Unix administration background Experience with automation and IaC tools is a plus (e.g., Ansible, Terraform) Familiarity with software development lifecycle (SDLC) and agile methodologies Good scripting and troubleshooting skills Soft Skills: Strong analytical and problem-solving skills Excellent communication and documentation abilities Ability to manage multiple tasks and priorities in a fast-paced environment Team-oriented with a proactive attitude Job Type: Full-time Pay: ₹80,000.00 - ₹120,000.00 per month Benefits: Health insurance Schedule: Day shift Work Location: In person Speak with the employer +91 9873665633

Summary Position Summary Job title : AML Analytics-Sr.Consultant Position Summary: We are growing rapidly and need a motivated, technical, highly skilled, and experienced Analytics/Tech Senior Staff to support our AML Transaction Monitoring and Sanctions engagement teams. The ideal candidate will have a strong background in AML compliance, Transaction Monitoring, Sanctions screening, and/or Financial Crime Prevention, particularly in delivering Technology/Systems Implementation, AML technology enhancements, Model Validation, Data Validations, Rules/Parameter Tuning, Coverage Assessment, and/or Transaction Monitoring Lookback Analysis. Preferred technical skills include proficiency in data analytics, SQL, SSIS, Python, AI/ML models, statistical methods for tuning, and a thorough understanding of US AML and Sanctions regulations. Technical experience with prominent AML platforms/solutions (e.g., Actimize, Oracle FCCM, SAS AML, Fircosoft, Quantexa, Fenergo) and knowledge of banking data (e.g., SWIFT, ISO 20022, ACH) is preferred. Key Responsibilities: Transaction Monitoring Implementation: Design, development, and implementation of transaction monitoring systems. Ensure that monitoring systems are effectively identifying suspicious activities and are compliant with regulatory requirements. Transaction Monitoring Model Validation: Conduct comprehensive validation of transaction monitoring models to ensure accuracy and effectiveness. Develop and execute testing plans to assess model performance and identify areas for improvement. Document validation processes and findings, providing recommendations for model enhancements. Transaction Monitoring Lookback Analysis: Conduct lookback analyses to review historical transaction data for potential missed suspicious activities. Develop and customize rules in SQL to enhance transaction monitoring capabilities. Tune thresholds using statistical methods to optimize the detection of suspicious activities while minimizing false positives. Document lookback analysis processes, findings, and recommendations. Regulatory Compliance: Stay current with US AML regulations and ensure transaction monitoring practices are compliant. Provide guidance and training to team members on regulatory requirements and best practices. Participate in regulatory examinations and audits, providing necessary documentation and responses. Qualifications: Bachelor's degree in Computer Science, or a related field. Minimum 5 years of experience in data analytics. Minimum of 3 years of experience in AML compliance, with a focus on transaction monitoring and sanctions screening. Experience with AML transaction monitoring software (e.g., Actimize, Oracle FCCM, Fircosoft, SAS AML). Proficiency in SQL, SSIS, and Python for data extraction, transformation, and data analysis. Extensive experience with data analytics tools and techniques. Excellent analytical, problem-solving, and decision-making skills. Excellent communication and interpersonal skills. Preferred Skills: Familiarity with machine learning and artificial intelligence applications in transaction monitoring. Relevant certifications such as CAMS (Certified Anti-Money Laundering Specialist) are a plus. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300975

We deliver the world’s most complex projects Work as part of a collaborative and inclusive team Enjoy a varied & challenging role Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, we’re bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Senior Cyber Security Analyst with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. We are seeking a Senior Cyber Security Analyst -a Subject Matter Expert (SME)- to join our Information Security team. The ideal candidate will be responsible for designing, implementing, monitoring, reacting, and reporting on information security events within the DLP scope. Additionally, the role includes managing security tools and IT systems with a special focus on DLP enablement. DLP Strategy & Policy Design Serve as a Subject Matter Expert (SME) for DLP solutions, technologies, and best practices. Design, implement, and optimize DLP policies to detect and prevent unauthorized access, sharing, and data exfiltration. Define and maintain DLP governance frameworks, aligning with regulatory requirements Identify sensitive data requiring protection across endpoints, cloud, email, and network. Implementation & Configuration Deploy and configure DLP controls to monitor, alert, and block potential data leaks. Define and enforce DLP rules for structured & unstructured data, including Personally Identifiable Information (PII), Intellectual Property (IP), and financial data. Integrate DLP solutions with other security tools. Monitoring & Continuous Improvement Monitor and analyze DLP alerts and incidents, identifying trends and areas for improvement. Ensuring DLP alerts and incidents get routed to monitoring/response processes in accordance with defined internal procedures Perform regular tuning and updates to enhance detection accuracy and reduce false positives. Develop automated response actions to mitigate risks and ensure business continuity. Compliance & Stakeholder Collaboration Ensure compliance with data protection regulations and industry security standards. Collaborate with cross-functional teams to resolve complex technical issues and to align DLP policies with business needs. Provide guidance and training to employees on DLP policies, security best practices, and insider threat awareness. Reporting & Documentation Define and generate DLP metric supporting the reporting needs across the organization Document DLP configurations, policies, and operational procedures. Provide technical recommendations to enhance data security strategies. About You To be considered for this role it is envisaged you will possess the following attributes: Ability to balance security measures with business needs A proactive approach to identifying and mitigating data loss risks before they become security incidents Proven experience with DLP solutions (e.g., Microsoft Purview, Symantec, Forcepoint, McAfee/Trellix, Digital Guardian, Zscaler). Strong knowledge of DLP policies, rules, content inspection techniques, and data classification models. Experience working with cloud-based DLP (e.g., CASB, SaaS security, O365 DLP, Google Workspace DLP) Understanding of network security, endpoint security, and encryption techniques. Familiarity with SIEM, SOC workflows, and incident response processes. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We’re building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley. Company Worley Primary Location IND-MM-Mumbai Other Locations IND-KR-Bangalore, IND-AP-Hyderabad, IND-MM-Pune, IND-MM-Navi Mumbai Job Cyber Security Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 14, 2025 Unposting Date Aug 13, 2025 Reporting Manager Title Manager

Summary Position Summary Job title : AML Analytics-Sr.Consultant Position Summary: We are growing rapidly and need a motivated, technical, highly skilled, and experienced Analytics/Tech Senior Staff to support our AML Transaction Monitoring and Sanctions engagement teams. The ideal candidate will have a strong background in AML compliance, Transaction Monitoring, Sanctions screening, and/or Financial Crime Prevention, particularly in delivering Technology/Systems Implementation, AML technology enhancements, Model Validation, Data Validations, Rules/Parameter Tuning, Coverage Assessment, and/or Transaction Monitoring Lookback Analysis. Preferred technical skills include proficiency in data analytics, SQL, SSIS, Python, AI/ML models, statistical methods for tuning, and a thorough understanding of US AML and Sanctions regulations. Technical experience with prominent AML platforms/solutions (e.g., Actimize, Oracle FCCM, SAS AML, Fircosoft, Quantexa, Fenergo) and knowledge of banking data (e.g., SWIFT, ISO 20022, ACH) is preferred. Key Responsibilities: Transaction Monitoring Implementation: Design, development, and implementation of transaction monitoring systems. Ensure that monitoring systems are effectively identifying suspicious activities and are compliant with regulatory requirements. Transaction Monitoring Model Validation: Conduct comprehensive validation of transaction monitoring models to ensure accuracy and effectiveness. Develop and execute testing plans to assess model performance and identify areas for improvement. Document validation processes and findings, providing recommendations for model enhancements. Transaction Monitoring Lookback Analysis: Conduct lookback analyses to review historical transaction data for potential missed suspicious activities. Develop and customize rules in SQL to enhance transaction monitoring capabilities. Tune thresholds using statistical methods to optimize the detection of suspicious activities while minimizing false positives. Document lookback analysis processes, findings, and recommendations. Regulatory Compliance: Stay current with US AML regulations and ensure transaction monitoring practices are compliant. Provide guidance and training to team members on regulatory requirements and best practices. Participate in regulatory examinations and audits, providing necessary documentation and responses. Qualifications: Bachelor's degree in Computer Science, or a related field. Minimum 5 years of experience in data analytics. Minimum of 3 years of experience in AML compliance, with a focus on transaction monitoring and sanctions screening. Experience with AML transaction monitoring software (e.g., Actimize, Oracle FCCM, Fircosoft, SAS AML). Proficiency in SQL, SSIS, and Python for data extraction, transformation, and data analysis. Extensive experience with data analytics tools and techniques. Excellent analytical, problem-solving, and decision-making skills. Excellent communication and interpersonal skills. Preferred Skills: Familiarity with machine learning and artificial intelligence applications in transaction monitoring. Relevant certifications such as CAMS (Certified Anti-Money Laundering Specialist) are a plus. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300975

Job Summary: We are seeking a skilled Senior Tableau Developer / Analyst to design, develop, and maintain interactive dashboards and reports. The ideal candidate will have expertise in Tableau, SQL, and data visualization, with a strong analytical mindset to translate complex data into meaningful insights. Key Responsibilities: Develop, design, and maintain Tableau dashboards and reports for business insights. Collaborate with stakeholders to understand reporting needs and translate them into interactive visualizations. Optimize dashboards for performance and usability. Write and optimize SQL queries to extract, transform, and analyze data. Ensure data accuracy, integrity, and consistency in reporting. Work with large datasets from multiple sources, including databases, APIs, and cloud platforms. Support data-driven decision-making by providing insights and actionable recommendations. Stay updated with the latest Tableau features and best practices. Manage and administer Tableau Server including upgrades, deployment, permissions, and performance tuning. Utilize Python for automation, data manipulation, or advanced analytics. Apply general data analysis techniques to extract meaningful business insights. Ensure flexibility with availability during evening hours. Preferred Qualifications: Experience with cloud platforms like AWS is preferred, and AWS Cloud Certification is a plus. Experience with Snowflake SQL is preferred, and experience with dbt is a plus. Experience with Tableau Server management (user access, performance tuning, publishing workbooks). Proficiency in Python for data processing and automation. Exposure to AI/ML models for predictive analytics. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

IMMEDIATE REQUIREMENT Position: Database Administrator (DBA-SQL Server) Qualification: B.E./B.Tech/MCA or equivalent Experience: 5+ yrs Location: Chandigarh Please fill the form https://lnkd.in/dpbdhG_5 and send your updated resume to hr@edidacs.com Skills: Strong experience as a SQL Server DBA. In-depth knowledge of SQL Server database administration, including database design, installation, configuration, and maintenance. Proficiency in writing complex SQL queries, stored procedures, triggers, and functions. Experience with database performance tuning and opmtization techniques. Experience with backups, restores and recovery models. Familiarity with high availability and disaster recovery solutions, such as database mirroring, log shipping, and clustering. Knowledge of database security best practices and the ability to implement and enforce security measures. Monitor database performance, implement changes and apply new patches and versions when required Experience with SSIS and SSRS Job Type: Permanent Pay: ₹50,000.00 - ₹80,000.00 per month Work Location: In person

Education Graduation Experience 5+ Years Total Openings 3 New Opening Location Mohali or Bangalore Job Description We are seeking a skilled .NET Developer with strong expertise in .NET Core, ASP.NET MVC, and C#. The role involves building web applications, APIs, and services using modern frameworks and technologies. You’ll collaborate with cross-functional teams to deliver scalable, secure, and high-performance solutions. Key Responsibilities Strong understanding of OOP concepts, C#, .NET Core, and ASP.NET MVC Solid knowledge of Entity Framework and relational databases (SQL Server, DB2) Familiarity with HTML, JavaScript, Bootstrap, CSS, XSLT, and AngularJS Experience delivering production-quality code in both .NET Framework and .NET 5.0 environments Strong debugging, optimization, and performance tuning skills Requirements Design, develop, test, and deploy high-quality .NET Core and ASP.NET MVC applications. Work on front-end UI using HTML, JavaScript, Bootstrap, CSS, XSLT, and legacy AngularJS. Create and maintain XML/JSON-based Web Services (REST and SOAP). Develop data-driven applications using Entity Framework and SQL Server/DB2. Maintain records of the conversations with the customer and analyze the data. Handling customer queries on Chat and E-mails. Work with us SourceMash Technologies is a leading solution provider for internet-based applications and product development since 2008. Be a part of our company that is facilitated by highly skilled professionals dedicated to providing total IT solutions under one roof. We offer remarkable services in the areas of Software Development, Quality Assurance, and Support. Welcome Kit An employee welcome kit, like Custom Notepad, T-Shirt, Water Bottle etc., is also included in employee welcome packages onboard. Medical Insurance SourceMash Technologies offers the best employee health insurance benefit to their employee's family members under the same policy. Paid Leaves Annual leaves are paid at the payment rate in the working period before the leave, and no untaken leaves can be considered part of the mandatory notice periods.

About The Role Masai, in academic collaboration with a premier institute, is seeking a Teaching Assistant (TA) for its New Age Software Engineering program. This advanced 90-hour course equips learners with Generative AI foundations, production-grade AI engineering, serverless deployments, agentic workflows, and vision-enabled AI applications. The TA will play a key role in mentoring learners, resolving queries, sharing real-world practices, and guiding hands-on AI engineering projects. This role is perfect for professionals who want to contribute to next-generation AI-driven software engineering education while keeping their technical skills sharp. Key Responsibilities (KRAs) Doubt-Solving Sessions Conduct or moderate weekly sessions to clarify concepts across: Generative AI & Prompt Engineering AI Lifecycle Management & Observability Serverless & Edge AI Deployments Agentic Workflows and Vision-Language Models (VLMs) Share industry insights and practical examples to reinforce learning. Q&A and Discussion Forum Support Respond to student questions through forums, chat, or email with detailed explanations and actionable solutions. Facilitate peer-to-peer discussions on emerging tools, frameworks, and best practices in AI engineering. Research & Project Support Assist learners in capstone project design and integration, including vector databases, agent orchestration, and performance tuning. Collaborate with the academic team to research emerging AI frameworks like LangGraph, CrewAI, Hugging Face models, and WebGPU deployments. Learner Engagement Drive engagement via assignment feedback, interactive problem-solving, and personalized nudges to keep learners motivated. Encourage learners to adopt best practices for responsible and scalable AI engineering. Content Feedback Loop Collect learner feedback and recommend updates to curriculum modules for continuous course improvement. Candidate Requirements 2+ years of experience in Software Engineering, AI Engineering, or Full-Stack Development. Strong knowledge of Python/Node.js, cloud platforms (AWS Lambda, Vercel, Cloudflare Workers), and modern AI tools. Hands-on experience with LLMs, Vector Databases (Pinecone, Weaviate), Agentic Frameworks (LangGraph, ReAct), and AI observability tools. Understanding of AI deployment, prompt engineering, model fine-tuning, and RAG pipelines. Excellent communication and problem-solving skills; mentoring experience is a plus. Familiarity with online learning platforms or LMS tools is advantageous. Engagement Details Time Commitment: 6 to 8 hours per week Location: Remote (online) Compensation: ₹8,000 to ₹10,000 per month Why Join Us? Benefits and Perks Contribute to a cutting-edge AI & software engineering program with a leading ed-tech platform. Mentor learners on next-generation AI applications and engineering best practices. Engage in flexible remote working while influencing future technological innovations. Access to continuous professional development and faculty enrichment programs. Network with industry experts and professionals in the AI and software engineering domain. Skills: edge,llms,rag pipelines,communication,online,aws lambda,databases,cloudflare workers,ai observability tools,vercel,prompt,learning,model fine-tuning,vector databases,prompt engineering,software,new age,agentic frameworks,mentoring,problem-solving,python,models,learners,node.js

Job Description Overview PepsiCo is embarking on a significant initiative of digitalization and standardization of the FP&A solution across all its divisions to make the finance organization more Capable, more Agile, and more Efficient. The MOSAIC program is a key enabler of that vision. It is the FP&A solution of the PepsiCo Global Template (PGT) that, for the first time, aims to integrate “vertical” planning for Operating Units (OUs) or markets, and “horizontal” planning for functions (e.g., Global Procurement, Compensation and Benefits, etc.) that have accountability across markets. The program aims to harmonize data, planning processes and ways of working across PepsiCo market.The Finance Application Developer / Architect (TM1) is a key contributor in designing, developing, and maintaining financial planning and analytics solutions using IBM Planning Analytics (TM1). This role combines technical expertise with a deep understanding of finance processes to create robust, scalable, and efficient systems that enable data-driven decision-making. The ideal candidate will excel in solution design, stakeholder collaboration, and aligning technical implementations with strategic business goals. Responsibilities Design, Enhance and Maintain Mosaic Solution: Develop, troubleshoot and maintain robust TM1/Planning Analytics applications, including cubes, rules, and TurboIntegrator (TI) processes, to support financial planning, forecasting, and reporting. Collaborate with stakeholders to design and implement scalable, future-proof solutions that meet business requirements. Business Incident Triage: Engage with finance and business teams to understand objectives, gather requirements, and translate them into effective technical designs. Provide advisory support to optimize financial processes and restore the solution Optimize System Performance: Ensure the stability and performance of TM1 models, performing optimization and tuning to handle growing data and user demands efficiently. Data Integration and Automation: Manage data flows between TM1 and other systems, automating processes for data loading, transformation, and reconciliation. Governance and Standards: Implement best practices for data governance, model development, documentation, and version control to maintain system reliability and accuracy. Training and Support: Deliver training and support to finance teams, empowering them to leverage TM1 solutions effectively for business insights. Qualifications Bachelor’s degree required. Master’s degree preferred. 12-13+ years of experience configuring, deploying and managing TM1 (Preferred) or SAP based Financial Planning & Analysis solution with a focus on Topline Planning.

We deliver the world’s most complex projects Work as part of a collaborative and inclusive team Enjoy a varied & challenging role Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. Right now, we’re bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now. We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects. The Role As a Senior Cyber Security Analyst with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc. We are seeking a Senior Cyber Security Analyst -a Subject Matter Expert (SME)- to join our Information Security team. The ideal candidate will be responsible for designing, implementing, monitoring, reacting, and reporting on information security events within the DLP scope. Additionally, the role includes managing security tools and IT systems with a special focus on DLP enablement. DLP Strategy & Policy Design Serve as a Subject Matter Expert (SME) for DLP solutions, technologies, and best practices. Design, implement, and optimize DLP policies to detect and prevent unauthorized access, sharing, and data exfiltration. Define and maintain DLP governance frameworks, aligning with regulatory requirements Identify sensitive data requiring protection across endpoints, cloud, email, and network. Implementation & Configuration Deploy and configure DLP controls to monitor, alert, and block potential data leaks. Define and enforce DLP rules for structured & unstructured data, including Personally Identifiable Information (PII), Intellectual Property (IP), and financial data. Integrate DLP solutions with other security tools. Monitoring & Continuous Improvement Monitor and analyze DLP alerts and incidents, identifying trends and areas for improvement. Ensuring DLP alerts and incidents get routed to monitoring/response processes in accordance with defined internal procedures Perform regular tuning and updates to enhance detection accuracy and reduce false positives. Develop automated response actions to mitigate risks and ensure business continuity. Compliance & Stakeholder Collaboration Ensure compliance with data protection regulations and industry security standards. Collaborate with cross-functional teams to resolve complex technical issues and to align DLP policies with business needs. Provide guidance and training to employees on DLP policies, security best practices, and insider threat awareness. Reporting & Documentation Define and generate DLP metric supporting the reporting needs across the organization Document DLP configurations, policies, and operational procedures. Provide technical recommendations to enhance data security strategies. About You To be considered for this role it is envisaged you will possess the following attributes: Ability to balance security measures with business needs A proactive approach to identifying and mitigating data loss risks before they become security incidents Proven experience with DLP solutions (e.g., Microsoft Purview, Symantec, Forcepoint, McAfee/Trellix, Digital Guardian, Zscaler). Strong knowledge of DLP policies, rules, content inspection techniques, and data classification models. Experience working with cloud-based DLP (e.g., CASB, SaaS security, O365 DLP, Google Workspace DLP) Understanding of network security, endpoint security, and encryption techniques. Familiarity with SIEM, SOC workflows, and incident response processes. Moving forward together We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We’re building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Worley takes personal data protection seriously and respects EU and local data protection laws. You can read our full Recruitment Privacy Notice Here. Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Worley. Company Worley Primary Location IND-MM-Mumbai Other Locations IND-KR-Bangalore, IND-AP-Hyderabad, IND-MM-Pune, IND-MM-Navi Mumbai Job Cyber Security Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 14, 2025 Unposting Date Aug 13, 2025 Reporting Manager Title Manager

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are seeking an experienced Quality Engineer for Salesforce Agentforce to join our Digital Success Engineering team. The ideal candidate should have a strong background in AI, retrieval-augmented generation (RAG), and Agentic technologies testing, along with expertise in Salesforce and programming languages like APEX, Python or Java. A passion for building robust automated testing solutions for Agentic user experience and application programming interfaces (APIs) is essential. In this role, you will develop automated quality assurance practices for scalable customer-facing and internal Agentforce implementations. Proficiency in testing framework, JavaScript, modern UI frameworks, WebDriver, Selenium, and API testing is required. You will create functional and automation tests for Agent UI and APIs while collaborating with team members to enhance existing code and frameworks. Experience with Jenkins or other CI/CD tools is a plus. Salesforce, the world’s #1 AI CRM, has recently unveiled Agentforce, a groundbreaking suite of autonomous AI agents that augment employees and handle tasks in service, sales, marketing and commerce, driving unprecedented efficiency and customer satisfaction. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. This role is crucial in redefining how we enable innovative experiences driven by Agentforce. You will key to the evolution of Customer Success in the realm of Agentforce. The Team Our Digital Success Engineering team is an interdisciplinary mix of distributed software engineers, architects and engineering managers working collaboratively to build Unified Experiences for our Trailblazers. As customer zero, we drive innovation by harnessing Salesforce technology to create and easy and expert self-service experience that fuels Trailblazer Success. The Role You will develop and implement a quality engineering, testing strategy, testing framework, managing manual and automated test cases to ensure seamless human-agent experiences with Salesforce Agentforce and DataCloud. Your responsibilities include defining and executing a comprehensive testing plan and collaborating with Product Managers, Developers, and cross-functional teams to deliver exceptional Customer Success experiences. PRIMARY RESPONSIBILITIES Quality Engineering Strategy & Leadership: Define, develop, and execute a comprehensive quality engineering and testing strategy specifically for Salesforce Agentforce, Data Cloud, and other relevant Salesforce platform capabilities. Test Automation Expertise: Design, develop, and maintain robust automated test scripts for Agent UI, Experience Site UI, and APIs using industry-standard tools and frameworks such as Selenium, WebDriver, JavaScript frameworks, and API testing tools. AI & Agentforce Testing: Develop specialized testing strategies and test cases for AI-powered features, including Retrieval-Augmented Generation (RAG), Agentic workflows, single turn / multi Turn conversation, Natural Language Processing (NLP), and Large Language Models (LLMs). Use AI and RAG testing metrics to define and measure testing outcome. Data-Driven Quality: Build and maintain datasets for training, fine-tuning, and evaluating the performance and accuracy of LLMs and other AI models. Implement data-driven approaches to measure and improve the quality of AI features. Functional & Salesforce Testing: Design and execute functional test plans and test cases tailored to Salesforce applications, including customizations using Flows, Triggers, Apex Jobs, and more. Possess a strong understanding of Salesforce best practices and governor limits. Continuous Integration & Continuous Delivery (CI/CD): Build and maintain automated quality control pipelines using Jenkins or other CI/CD tools to ensure seamless integration and deployment of high-quality software. Defect Management: Effectively identify, document, track, and manage defects to ensure timely resolution and contribute to root cause analysis. Collaboration & Communication: Partner effectively with Product Managers, Developers, UX Designers, and other stakeholders to understand requirements, provide timely feedback, communicate testing progress, and collaborate on solutions. Best Practices & Standards: Establish and champion quality standards, methodologies, and best practices within the team and across the organization. Performance Optimization: Continuously assess the performance of Agentforce implementations , identify potential bottlenecks, and recommend and implement proactive measures for optimization. Technical Expertise: Stay up-to-date with the latest Salesforce releases, AI advancements, and emerging testing trends. Stakeholder Management: Communicate testing progress, risks, and mitigation strategies effectively to various stakeholders, including both technical and non-technical audiences. Agile Participation: Actively participate in Agile development methodologies, contributing to sprint planning, daily stand-ups, and retrospectives. Problem-Solving & Analytical Skills: Demonstrate strong analytical and problem-solving skills to identify and resolve complex quality issues effectively. Professional Experience/Skills Required: Overall 7+ years of experience in Software Quality Engineering. 2+ years of hands-on experience with the Salesforce platform, including configuration and development across various Salesforce Customer 360 products (e.g., Sales Cloud, Service Cloud, Data Cloud, Einstein ). 3+ years of proven experience in testing Machine Learning (ML), Artificial Intelligence (AI) systems, and/or services. Strong proficiency in at least one programming language such as Python or Java, particularly relevant for test automation and AI/ML testing. Experience with Large Language Models (LLMs) and prompt engineering testing frameworks. Solid understanding of Retrieval-Augmented Generation (RAG) and Agentic technologies. Demonstrated experience in building and maintaining robust automated testing frameworks for UI and APIs. Proficiency in JavaScript and modern UI frameworks (e.g., React, Angular, Vue.js) for UI test automation. Experience with WebDriver and Selenium for browser automation. Strong analytical mindset with experience in using a data-driven approach to measure and improve the quality of complex ML/AI products. Proven experience with Salesforce DevOps, CI/CD processes, and automation tools. Deep understanding of Salesforce architecture, functionalities, and various clouds. Strong understanding of AI, machine learning, and natural language processing principles. Experience with data management principles and Customer Data Platforms (CDPs) or Data Lakes. Familiarity with development tools like SLDS, XML, HTML, SQL, JavaScript, JSON, and CSS. Proven ability to work effectively within cross-functional teams to achieve common goals and business objectives. Experience with Agile development or Scrum project management methodologies and tools. Solid understanding of software engineering principles, key design patterns, and best practices. Strategic thinker with the ability to see the big picture, innovate, and adapt to constant change. Ability to work under pressure, highly adaptable, and well-organized. Highly effective written and verbal communication skills with audiences across all levels of the organization. Strong organizational skills with the ability to establish and manage priorities in a complex and fast-paced environment. Strong knowledge of data management concepts and architectures. Bachelor's or Master's degree in Computer Science, Software Engineering, or equivalent experience. Salesforce Certifications (Preferred): Salesforce Platform App Builder Salesforce Administrator Salesforce-specific certifications related to Agentforce (if and when available) Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

🚀 We're Hiring: Senior AI/ML Engineer | Join Our Mission to Build the Future of Intelligent Systems Are you passionate about cutting-edge AI and machine learning? Are you eager to build and deploy Large Language Models, intelligent agents, and transformative AI systems at scale? We’re looking for a " Senior AI/ML Engineer" to join our fast-moving team and make a real impact. 🔍 What You’ll Do: Fine-tune and optimize state-of-the-art models (Transformers, CNNs, RNNs) for real-world use cases Apply quantization and other optimization techniques (INT8, INT4, dynamic quantization) to maximize model performance Build, deploy, and scale intelligent AI agents and multi-agent systems Design APIs and services using FastAPI, Flask, or Django REST, and deploy using Docker/Kubernetes across AWS/GCP/Azure Collaborate on production-grade solutions using PyTorch, TensorFlow, Hugging Face Transformers Leverage vector databases (e.g., Pinecone, Weaviate, Chroma) to power intelligent applications ✅ What We’re Looking For: 3+ years of AI/ML development experience with a proven track record of delivering impactful projects Expertise in fine-tuning and deploying LLMs and deep learning models Deep understanding of modern AI workflows and frameworks (Transformers, Agents, RAG, etc.) Strong Python skills and solid software engineering fundamentals Hands-on experience with production environments, CI/CD, and cloud platforms Proficiency in databases (PostgreSQL + vector DBs) and collaborative Git workflows 🌟 Bonus Points For: Experience with distributed training and large-scale model development Familiarity with retrieval-augmented generation (RAG), prompt engineering, and chain-of-thought reasoning. Background in AI ethics or responsible AI practices Start-up or rapid development experience Bachelor’s or Master’s degree in Computer Science, AI, or a related field 🌐 Why Join Us? Work on high-impact, technically challenging problems Be part of a collaborative, fast-moving, and forward-thinking team Build products that leverage cutting-edge AI to solve real-world challenges Shape the direction of intelligent systems from the ground up \#AIJobs #MachineLearning #DeepLearning #LLMs #MLJobs #TechHiring #StartupJobs #ArtificialIntelligence #FastAPI #HuggingFace #PyTorch #Kubernetes #AIEngineer

Experience : 15.00 + years Salary : Confidential (based on experience) Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full time Permanent Position (*Note: This is a requirement for one of Uplers' client - Netskope) What do you need for this opportunity? Must have skills required: CI/CD, RCA, Performance Engineering, AWS, Scaled Agile, Python, Grafana, Linux Netskope is Looking for: About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Application SRE Team supports several critical components of our foundational technologies for real-time protection, as well as our RBI and SSPM services. We are a team of software engineers focused on improving availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of the engineering stacks. If you are passionate about solving complex problems and developing cloud services at scale, we would like to speak with you. What’s In It For You You will be part of a high caliber engineering team in the exciting space of cloud tools and infrastructure management. You will have an opportunity to work on hybrid cloud (Google Cloud, On-prem cloud) and work with cutting edge tooling like spinnaker, kubernetes, docker and more. You will solve complex, exciting challenges and improve the depth and breadth of your technical and analytical skills Your contributions to our market-leading product support will significantly impact our rapidly-growing global customer base. What You Will Be Doing Partner closely with our development teams and product managers to architect and build features that are highly available, performant and secure Develop innovative ways to smartly measure, monitor & report application and infrastructure health Gain deep knowledge of our application stack Experience improving the performance of micro-services and solve scaling/performance issues Capacity management and planning Function well in a fast-paced and rapidly-changing environment Participate with the dev teams in a 24X7 on-call rotations. Ability to debug and optimize code and automate routine tasks. Drive efficiencies in systems and processes: capacity planning, configuration management, performance tuning, monitoring and root cause analysis. Required Skills And Experience 15+ years of experience troubleshooting Unix/Linux Experience in managing a large-scale web operations role Experience in one or more of the following: C, C++, Java, Python, Go, Perl or Ruby Experience with algorithms, data structures, complexity analysis, and software design Hands-on working with private or public cloud services in a highly available and scalable production environment. Experience with continuous integration and deployment automation tools such as Jenkins, Ansible etc. Knowledge of distributed systems a big plus Previous experience working with geographically-distributed coworkers. Strong interpersonal communication skills (including listening, speaking, and writing) and ability to work well in a diverse, team-focused environment with other SREs, developers, Product Managers, etc Should have led teams, collaborating cross-functionally to deliver complex software features and solutions. Education BSCS Or Equivalent Required, MSCS Or Equivalent Strongly Preferred How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

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 organizations 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 realize their ambitions We are currently seeking an experienced professional to join our team in the role of Consultant Specialist 12 - 16 years of experience with below requirements and skills: Advanced SQL Development: Write complex SQL queries for data extraction, transformation, and analysis. Optimize SQL queries for performance and scalability. SQL Tuning and Joins: Analyze and improve query performance. Deep understanding of joins, indexing, and query execution plans. GCP BigQuery and GCS: Work with Google BigQuery for data warehousing and analytics. Manage and integrate data using Google Cloud Storage (GCS). Airflow DAG Development: Design, develop, and maintain workflows using Apache Airflow. Write custom DAGs to automate data pipelines and processes. Python Programming: Develop and maintain Python scripts for data processing and automation. Debug and optimize Python code for performance and reliability. Shell Scripting: Write and debug basic shell scripts for automation and system tasks. Continuous Learning: Stay updated with the latest tools and technologies in data engineering. Demonstrate a strong ability and attitude to learn and adapt quickly. Communication: Collaborate effectively with cross-functional teams. Clearly communicate technical concepts to both technical and non-technical stakeholders. Requirements To be successful in this role, you should meet the following requirements: Advanced SQL writing and query optimization. Strong understanding of SQL tuning, joins, and indexing. Hands-on experience with GCP services, especially BigQuery and GCS. Proficiency in Python programming and debugging. Experience with Apache Airflow and DAG development. Basic knowledge of shell scripting. Excellent problem-solving skills and a growth mindset. Strong verbal and written communication skills. Experience with data pipeline orchestration and ETL processes. Familiarity with other GCP services like Dataflow or Pub/Sub. Knowledge of CI/CD pipelines and version control (e.g., Git). 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

Category: Business Consulting, Strategy and Digital Transformation Main location: India, Andhra Pradesh, Hyderabad Position ID: J0725-0862 Employment Type: Full Time Position Description: Job Title: Data EngineerExperience Level: 5+ YearsLocation: Hyderabad Job Summary We are looking for a seasoned and innovative Senior Data Engineer to join our dynamic data team. This role is ideal for professionals with a strong foundation in data engineering, coupled with hands-on experience in machine learning workflows, statistical analysis, and big data technologies. You will play a critical role in building scalable data pipelines, enabling advanced analytics, and supporting data science initiatives. Proficiency in Python is essential, and experience with PySpark is a strong plus. Key Responsibilities Data Pipeline Development: Design and implement scalable, high-performance ETL/ELT pipelines using Python and PySpark. ML & Statistical Integration: Collaborate with data scientists to integrate machine learning models and statistical analysis into data workflows. Data Modeling: Create and optimize data models (relational, dimensional, and columnar) to support analytics and ML use cases. Big Data Infrastructure: Manage and optimize data platforms such as Snowflake, Redshift, BigQuery, and Databricks. Performance Tuning: Monitor and enhance the performance of data pipelines and queries. Data Governance: Ensure data quality, integrity, and compliance through robust governance practices. Cross-functional Collaboration: Partner with analysts, scientists, and product teams to translate business needs into technical solutions. Automation & Monitoring: Automate data workflows and implement monitoring and alerting systems. Mentorship: Guide junior engineers and promote best practices in data engineering and ML integration. Innovation: Stay current with emerging technologies in data engineering, ML, and analytics. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in data engineering with a strong focus on Python and big data tools. Solid understanding of machine learning concepts and statistical analysis techniques. Proficiency in SQL and Python; experience with PySpark is highly desirable. Experience with cloud platforms (AWS, Azure, or GCP) and data tools (e.g., Glue, Data Factory, Dataflow). Familiarity with data warehousing and lakehouse architectures. Knowledge of data modeling techniques (e.g., star schema, snowflake schema). Experience with version control systems like Git. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Skills: English Data Engineering Python SQLite Statistical Analysis What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Job Description Overview DataOps L3 The role will leverage & enhance existing technologies in the area of data and analytics solutions like Power BI, Azure data engineering technologies, ADLS, ADB, Synapse, and other Azure services. The role will be responsible for developing and support IT products and solutions using these technologies and deploy them for business users Responsibilities 5 to 10 Years of IT & Azure Data engineering technologies experience Prior experience in ETL, data pipelines, data flow techniques using Azure Data Services Working experience in Python, Py Spark, Azure Data Factory, Azure Data Lake Gen2, Databricks, Azure Synapse and file formats like JSON & Parquet. Experience in creating ADF Pipelines to source and process data sets. Experience in creating Databricks notebooks to cleanse, transform and enrich data sets. Development experience in orchestration of pipelines Good understanding about SQL, Databases, Datawarehouse systems preferably Teradata Experience in deployment and monitoring techniques. Working experience with Azure DevOps CI/CD pipelines to deploy Azure resources. Experience in handling operations/Integration with source repository Must have good knowledge on Datawarehouse concepts and Datawarehouse modelling. Working knowledge of SNOW including resolving incidents, handling Change requests /Service requests, reporting on metrics to provide insights. Collaborate with the project team to understand tasks to model tables using data warehouse best practices and develop data pipelines to ensure the efficient delivery of data. Strong expertise in performance tuning and optimization of data processing systems. Proficient in Azure Data Factory, Azure Databricks, Azure SQL Database, and other Azure data services. Develop and enforce best practices for data management, including data governance and security. Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs. Proficient in implementing DataOps framework. Qualifications Azure data factory Azure Databricks Azure Synapse PySpark/SQL ADLS Azure DevOps with CI/CD implementation. Nice-to-Have Skill Sets: Business Intelligence tools (preferred—Power BI) DP-203 Certified.

About Us: MatchMove is a leading embedded finance platform that empowers businesses to embed financial services into their applications. We provide innovative solutions across payments, banking-as-a-service, and spend/send management, enabling our clients to drive growth and enhance customer experiences. Are You The One? As a Technical Lead Engineer - Data, you will architect, implement, and scale our end-to-end data platform built on AWS S3, Glue, Lake Formation, and DMS. You will lead a small team of engineers while working cross-functionally with stakeholders from fraud, finance, product, and engineering to enable reliable, timely, and secure data access across the business. You will champion best practices in data design, governance, and observability, while leveraging GenAI tools to improve engineering productivity and accelerate time to insight. You will contribute to: Owning the design and scalability of the data lake architecture for both streaming and batch workloads, leveraging AWS-native services. Leading the development of ingestion, transformation, and storage pipelines using AWS Glue, DMS, Kinesis/Kafka, and PySpark. Structuring and evolving data into OTF formats (Apache Iceberg, Delta Lake) to support real-time and time-travel queries for downstream services. Driving data productization, enabling API-first and self-service access to curated datasets for fraud detection, reconciliation, and reporting use cases. Defining and tracking SLAs and SLOs for critical data pipelines, ensuring high availability and data accuracy in a regulated fintech environment. Collaborating with InfoSec, SRE, and Data Governance teams to enforce data security, lineage tracking, access control, and compliance (GDPR, MAS TRM). Using Generative AI tools to enhance developer productivity — including auto-generating test harnesses, schema documentation, transformation scaffolds, and performance insights. Mentoring data engineers, setting technical direction, and ensuring delivery of high-quality, observable data pipelines. Responsibilities: Architect scalable, cost-optimized pipelines across real-time and batch paradigms, using tools such as AWS Glue, Step Functions, Airflow, or EMR. Manage ingestion from transactional sources using AWS DMS, with a focus on schema drift handling and low-latency replication. Design efficient partitioning, compression, and metadata strategies for Iceberg or Hudi tables stored in S3, and cataloged with Glue and Lake Formation. Build data marts, audit views, and analytics layers that support both machine-driven processes (e.g. fraud engines) and human-readable interfaces (e.g. dashboards). Ensure robust data observability with metrics, alerting, and lineage tracking via OpenLineage or Great Expectations. Lead quarterly reviews of data cost, performance, schema evolution, and architecture design with stakeholders and senior leadership. Enforce version control, CI/CD, and infrastructure-as-code practices using GitOps and tools like Terraform. Requirements: At-least 7 years of experience in data engineering. Deep hands-on experience with AWS data stack: Glue (Jobs & Crawlers), S3, Athena, Lake Formation, DMS, and Redshift Spectrum. Expertise in designing data pipelines for real-time, streaming, and batch systems, including schema design, format optimization, and SLAs. Strong programming skills in Python (PySpark) and advanced SQL for analytical processing and transformation. Proven experience managing data architectures using open table formats (Iceberg, Delta Lake, Hudi) at scale. Understanding of stream processing with Kinesis/Kafka and orchestration via Airflow or Step Functions. Experience implementing data access controls, encryption policies, and compliance workflows in regulated environments. Ability to integrate GenAI tools into data engineering processes to drive measurable productivity and quality gains — with strong engineering hygiene. Demonstrated ability to lead teams, drive architectural decisions, and collaborate with cross-functional stakeholders. Brownie Points: Experience working in a PCI DSS or any other central bank regulated environment with audit logging and data retention requirements. Experience in the payments or banking domain, with use cases around reconciliation, chargeback analysis, or fraud detection. Familiarity with data contracts, data mesh patterns, and data as a product principles. Experience using GenAI to automate data documentation, generate data tests, or support reconciliation use cases. Exposure to performance tuning and cost optimization strategies in AWS Glue, Athena, and S3. Experience building data platforms for ML/AI teams or integrating with model feature stores. MatchMove Culture: We cultivate a dynamic and innovative culture that fuels growth, creativity, and collaboration. Our fast-paced fintech environment thrives on adaptability, agility, and open communication. We focus on employee development, supporting continuous learning and growth through training programs, learning on the job and mentorship. We encourage speaking up, sharing ideas, and taking ownership. Embracing diversity, our team spans across Asia, fostering a rich exchange of perspectives and experiences. Together, we harness the power of fintech and e-commerce to make a meaningful impact on people's lives. Personal Data Protection Act: By submitting your application for this job, you are authorizing MatchMove to: collect and use your personal data, and to disclose such data to any third party with whom MatchMove or any of its related corporation has service arrangements, in each case for all purposes in connection with your job application, and employment with MatchMove; and retain your personal data for one year for consideration of future job opportunities (where applicable).

About Kanerika: Who we are: Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Kanerika has won several awards over the years, including: CMMI Level 3 Appraised in 2024. Best Place to Work 2022 & 2023 by Great Place to Work®. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today. NASSCOM Emerge 50 Award in 2014. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture. Recognized for ISO 27701, 27001, SOC2, and GDPR compliances. Featured as Top Data Analytics Services Provider by GoodFirms. Working for us Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika. Locations We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India). Job Location: Hyderabad, Indore and Ahmedabad (India) Requirements Key Responsibilities: Lead the design and development of AI-driven applications, particularly focusing on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java to ensure scalability, reliability, and maintainability. Deploy, manage, and scale AI applications using AWS cloud infrastructure, optimizing performance and resource utilization. Collaborate closely with cross-functional teams to understand requirements, define project scopes, and deliver solutions effectively. Mentor team members, providing guidance on best practices in software development, AI methodologies, and cloud deployments. Ensure solutions meet quality standards, including thorough testing, debugging, performance tuning, and documentation. Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. - Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics or related fields. At least 5 years of professional experience in AI/Machine Learning engineering. Strong programming skills in Python and Java. Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications. Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations. Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes. AWS certifications (e.g., AWS Solutions Architect, AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or similar. Experience in Agile development methodologies. Excellent communication skills, capable of conveying complex technical concepts clearly and effectively. Strong analytical and problem-solving capabilities, with the ability to navigate ambiguous technical challenges. Benefits Employee Benefits 1. Culture: a. Open Door Policy: Encourages open communication and accessibility to management. b. Open Office Floor Plan: Fosters a collaborative and interactive work environment. c. Flexible Working Hours: Allows employees to have flexibility in their work schedules. d. Employee Referral Bonus: Rewards employees for referring qualified candidates. e. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. 2. Inclusivity and Diversity: a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. b. Mandatory POSH training: Promotes a safe and respectful work environment. 3. Health Insurance and Wellness Benefits: a. GMC and Term Insurance: Offers medical coverage and financial protection. b. Health Insurance: Provides coverage for medical expenses. c. Disability Insurance: Offers financial support in case of disability. 4. Child Care & Parental Leave Benefits: a. Company-sponsored family events: Creates opportunities for employees and their families to bond. b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. c. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. 5. Perks and Time-Off Benefits: a. Company-sponsored outings: Organizes recreational activities for employees. b. Gratuity: Provides a monetary benefit as a token of appreciation. c. Provident Fund: Helps employees save for retirement. d. Generous PTO: Offers more than the industry standard for paid time off. e. Paid sick days: Allows employees to take paid time off when they are unwell. f. Paid holidays: Gives employees paid time off for designated holidays. g. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. 6. Professional Development Benefits: a. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. b. Mentorship Program: Offers guidance and support from experienced professionals. c. Job Training: Provides training to enhance job-related skills. d. Professional Certification Reimbursements: Assists employees in obtaining professional certifications. e. Promote from Within: Encourages internal growth and advancement opportunities.

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

At Franklin Templeton, we’re driving our industry forward by developing new and innovative ways to help our clients achieve their investment goals. Our dynamic and diversified firm spans asset management, wealth management, and fintech, offering many ways to help investors make progress toward their goals. Our talented teams working around the globe bring expertise that’s both broad and unique. From our welcoming, inclusive, and flexible culture to our global and diverse business, we offer opportunities not only to help you reach your potential but also to contribute to our clients’ achievements. Come join us in delivering better outcomes for our clients around the world! What is the Senior Software Engineer responsible for? The FTT AI & Digital Transformation group is a newly established team within Franklin Templeton Technologies, the Technology function within Franklin Templeton Investments. The core mandate of this role is to bring innovative digital investment products and solutions to market leveraging a patented and innovative digital wealthtech/fintech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI such as Generative AI in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, HR functions among others in a responsible and appropriate manner. The possibilities are limitless here and this would be a fantastic opportunity for self-motivated and driven professionals to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of Senior Software Engineer? Senior Software Engineer provides expertise and experience in application development and production support activities to support business needs: Design, prototype, and develop user-centric interfaces for web applications, ensuring exceptional user experiences. Build efficient, reusable, high-quality and scalable front end code with strong attention to design fidelity using modern frameworks such as React and Next.js. Lead the implementation and maintenance of Storybook for design-to-dev collaboration. Actively utilize artificial intelligence to expedite code development and code quality. Collaborate with product owners to translate business requirements into functional, visually appealing user interfaces. Participate in sprint planning, backlog grooming, and release planning to deliver high-quality features on time. Optimize application performance, ensuring fast load times and seamless interactivity. Work closely with back-end developers to integrate APIs and services efficiently. Engage in user acceptance testing (UAT) and support test execution with analysts and stakeholders. Stay up-to-date with emerging UI/UX trends and technologies to continuously enhance user experiences. Conduct code reviews, static code analysis, and performance tuning to maintain high development standards. Adaptable to ambiguity and rapidly evolving conditions, viewing changes as opportunities to introduce structure and order when appropriate. Reviews source code and design of peers incorporating advanced business domain knowledge. Offers vocal involvement in design and implementation discussions. Provides alternate views on software and product design characteristics to strengthen final decisions. Participates in defining the technology roadmap. What ideal qualifications, skills & experience would help someone to be successful? Education and Experience: At least 8+ years of experience in modern software/UI development. Bachelor’s degree in computer science, engineering, or a related field. Candidates from Tier 1 or Tier 2 institutions in India (e.g., IITs, BITS Pilani, IIITs, NITs, etc.) are strongly preferred. Strong experience in programming/Software and Frameworks: React, Next.js, TypeScript, and Storybook; experience with rapid app prototyping using tools such as Streamlit and Dash is a plus. Hands-on experience with MUI (Material UI), responsive grid systems, and design tokens. Experience working in regulated environments or high-stakes domains (finance, healthcare, etc.). Proficiency in using AI tools such as GitHub Copilot. Proficiency in writing unit test cases Proficient in creating and consuming RESTful APIs. Strong grasp of performance optimization, A11Y (WCAG), and modern UI patterns. Working knowledge of AWS services and cloud deployment practices. A keen eye for design details and familiarity with best practices in responsive UI design. Excellent analytical and problem-solving skills with a proactive, solution-oriented mindset. Ability to work independently and collaboratively in Agile environments. Bonus: Exposure to white-label apps, CMS-integrated front ends, or design-to-dev handoff workflows Job Level - Individual Contributor Work Shift Timings - 2.00 PM - 11.00 PM IST Experience our welcoming culture and reach your professional and personal potential! Our culture is shaped by our diverse global workforce and strongly held core values. Regardless of your interests, lifestyle, or background, there’s a place for you at Franklin Templeton. We provide employees with the tools, resources, and learning opportunities to help them excel in their career and personal life. Hear more from our employees By joining us, you will become part of a culture that focuses on employee well-being and provides multidimensional support for a positive and healthy lifestyle. We understand that benefits are at the core of employee well-being and may vary depending on individual needs. Whether you need support for maintaining your physical and mental health, saving for life’s adventures, taking care of your family members, or making a positive impact in your community, we aim to have them covered. Highlights of our benefits include: Professional development growth opportunities through in-house classes and over 150 Web-based training courses An educational assistance program to financially help employees seeking continuing education Medical, Life and Personal Accident Insurance benefit for employees. Medical insurance also cover employee’s dependents (spouses, children and dependent parents) Life insurance for protection of employees’ families Personal accident insurance for protection of employees and their families Personal loan assistance Employee Stock Investment Plan (ESIP) 12 weeks Paternity leave Onsite fitness center, recreation center, and cafeteria Transport facility Child day care facility for women employees Cricket grounds and gymnasium Library Health Center with doctor availability HDFC ATM on the campus Learn more about the wide range of benefits we offer at Franklin Templeton Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. Franklin Templeton is committed to fostering a diverse and inclusive environment. If you believe that you need an accommodation or adjustment to search for or apply for one of our positions, please send an email to accommodations@franklintempleton.com . In your email, please include the accommodation or adjustment you are requesting, the job title, and the job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only accommodation requests will receive a response.

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 organizations 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 realize their ambitions We are currently seeking an experienced professional to join our team in the role of Consultant Specialist 8 - 12 years of experience with below requirements and skills: Advanced SQL Development: Write complex SQL queries for data extraction, transformation, and analysis. Optimize SQL queries for performance and scalability. SQL Tuning and Joins: Analyze and improve query performance. Deep understanding of joins, indexing, and query execution plans. GCP BigQuery and GCS: Work with Google BigQuery for data warehousing and analytics. Manage and integrate data using Google Cloud Storage (GCS). Airflow DAG Development: Design, develop, and maintain workflows using Apache Airflow. Write custom DAGs to automate data pipelines and processes. Python Programming: Develop and maintain Python scripts for data processing and automation. Debug and optimize Python code for performance and reliability. Shell Scripting: Write and debug basic shell scripts for automation and system tasks. Continuous Learning: Stay updated with the latest tools and technologies in data engineering. Demonstrate a strong ability and attitude to learn and adapt quickly. Communication: Collaborate effectively with cross-functional teams. Clearly communicate technical concepts to both technical and non-technical stakeholders. Requirements To be successful in this role, you should meet the following requirements: Advanced SQL writing and query optimization. Strong understanding of SQL tuning, joins, and indexing. Hands-on experience with GCP services, especially BigQuery and GCS. Proficiency in Python programming and debugging. Experience with Apache Airflow and DAG development. Basic knowledge of shell scripting. Excellent problem-solving skills and a growth mindset. Strong verbal and written communication skills. Experience with data pipeline orchestration and ETL processes. Familiarity with other GCP services like Dataflow or Pub/Sub. Knowledge of CI/CD pipelines and version control (e.g., Git). 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

Job Description Overview As a key member of the team, you will be responsible for designing, building, and maintaining the data pipelines and platforms that support analytics, machine learning, and business intelligence. You will lead a team of data engineers and collaborate closely with cross-functional stakeholders to ensure that data is accessible, reliable, secure, and optimized for AI-driven applications Responsibilities Architect and implement scalable data solutions to support LLM training, fine-tuning, and inference workflows. Lead the development of ETL/ELT pipelines for structured and unstructured data across diverse sources. Ensure data quality, governance, and compliance with industry standards and regulations. Collaborate with Data Scientists, MLOps, and product teams to align data infrastructure with GenAI product goals. Mentor and guide a team of data engineers, promoting best practices in data engineering and DevOps. Optimize data workflows for performance, cost-efficiency, and scalability in cloud environments. Drive innovation by evaluating and integrating modern data tools and platforms (e.g., Databricks, Azure etc) Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field. 7+ years of experience in data engineering, with at least 2+ years in a leadership or senior role. Proven experience designing and managing data platforms and pipelines in cloud environments (Azure, AWS, or GCP). Experience supporting AI/ML workloads, especially involving Large Language Models (LLMs) Strong proficiency in SQL and Python Hands-on experience with data orchestration tools