58 Production Deployment Jobs - Page 3

Urgent Requirement for Microsoft Copilot studio & Python . Experience:5+ Years Employment Type:C2H 5+ years of experience in developing AI and Machine learning workloads, especially in the field of Natural Language Processing (NLP) Experience in building Generative AI solutions, virtual assistants and chatbots using Azure Open AI or any similar LLMs (eg: GPT 4.0) Experience in designing and building high-performant AI agents and virtual chatbots using MS Copilot Studio. Expertise in Python programming for Data science workloads Expertise in automation and production deployment of NLP and GenAI models using PowerApps. Excellent communication, interpersonal skills, and motivation to work in high performance and rewarding work environments.

Key Responsibilities Synthetic Data Generation & Quality Assurance Design and implement scalable synthetic data generation systems to support model training Develop and maintain data quality validation pipelines ensuring synthetic data meets training requirements Build automated testing frameworks for synthetic data generation workflows Collaborate with ML teams to optimize synthetic data for model performance APIs & Integration Develop and maintain REST API integrations across multiple enterprise platforms Implement robust data exchange, transformation, and synchronisation logic between systems Ensure error handling, retries, and monitoring for all integration workflows Data Quality & Testing Implement automated data validation and testing frameworks for ETL and synthetic data workflows Translate data quality feedback from stakeholders into pipeline or generation process improvements Proactively monitor and maintain data consistency across systems Multi-System Integration & MCP Development Build and maintain tool registries for Model Control Protocol (MCP) integration across multiple enterprise systems Develop robust APIs for multi-system communication through MCP frameworks Design and implement workflows that coordinate multi-system interactions Ensure reliable data flow and error handling across distributed system architectures Cross-Functional Collaboration & Production Integration Partner with domain specialists to translate plan execution feedback into actionable insights Work closely with Product Managers to align synthetic data generation with business requirements Collaborate with Core Engineering teams to ensure seamless production deployment Establish feedback mechanisms between synthetic data systems and production environments Required Qualifications Technical Skills Programming: Proficiency in Python, Typescript (optional) Data Engineering: Experience in data engineering frameworks and libraries (Pandas, Apache Airflow, Prefect) APIs & Integration: Strong background in REST APIs and system integration Databases: Experience with relational and NoSQL databases (PostgreSQL, MongoDB) Cloud Platforms: Hands on experience with AWS/GCP/Azure Experience Requirements 2+ years experience in building production-scale data pipelines and orchestration systems Demonstrated success in cross-functional collaboration in technical environments Preferred Qualifications Familiarity with managing Kubernetes-based production workloads and workflow orchestration (Argo) Familiarity with containerisation and orchestration with tools like Docker, Kubernetes etc. Familiarity with synthetic or large-scale data generation Background in enterprise software integration Experience with Model Control Protocol (MCP) or similar orchestration frameworks Knowledge of automated testing frameworks for data pipelines What We Offer Lots of learning many systems are being built from the ground up, with no existing references or open-source projects to rely on. This will be the first time not just for you, but for the industry as well. Opportunity to work at the forefront of enterprise-scale synthetic data generation Collaborative environment with product teams, engineering, and domain specialists Competitive compensation and comprehensive benefits Professional development opportunities in cutting-edge data engineering and Kubernetes orchestration Team Structure You'll report to the AI Engineering Lead and work closely with: ML Engineers developing foundation models Product Managers defining business requirements Product Specialists providing domain expertise Backend Engineers handling production infrastructure This role offers significant impact on our data capabilities and the opportunity to shape how we generate and utilize synthetic data for training enterprise systems.

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : IBM Sterling Commerce Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Roles & Responsibilities:- Expected to perform independently and become an SME and should be able to coach Team - Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Assist in the documentation of application specifications and user guides. Engage in code reviews to ensure quality and adherence to best practices. Should know how to gather SRE requirement from Tech and non-techaspect from customer. Should be able to work on rotational shifts. Must have experience in Production Application Support of OMS - Must have knowledge in ITIL framework specifically on Alerts,Incident, change management, CAB, Production deployments, Riskand mitigation plan, SLA, SLI -Must have triage and analytical skill and Should be able to handle P1/P2 bridge calls, brief about the P1/P2 to client, proactive in gathering details till RCA. Must know how to work with the Dev team, cross functional teamsacross time zones. -- Must know how retail platforms upstream and downstream integrationswork with various tracks such as dot com, warehouse management,stores etc. Professional & Technical Skills: - Must To Have Skills: Proficiency in IBM Sterling Commerce. Good To Have Skills: Experience with application integration techniques. Strong understanding of software development life cycle methodologies. Familiarity with database management systems and SQL. Experience in troubleshooting and debugging applications - Must have skills in any of the automation languages like Python, shell,Java to automate periodic OMS related task/SRE task. Hands on experience in Monitoring, Logging, Alerting, Dashboarding,and report generation in any monitoring tools such asSplunk/Dynatrace/kibana. Should have knowledge on building and executing SOP, runbooks,handling any ITSM platforms (JIRA/ServiceNow) Additional Information:- The candidate should have minimum 5 years of experience in IBM Sterling Commerce. This position is based at our Bengaluru office. A 15 years full time education is required. Qualification 15 years full time education

Design, develop, and execute comprehensive test plans, test cases, and test scripts for Workday modules including HCM, Recruiting/Onboarding, Compensation, US Payroll, Benefits, and Absence, as well as integration testing Collaborate with cross-functional teams to understand business requirements and translate them into effective test scenarios. Perform various types of testing including end-to-end, regression, integration, and user acceptance testing (UAT). Validate Workday configurations, business processes, and integrations to ensure system functionality and data integrity. Manage and prepare data staging environments to support testing activities, including loading, transforming, and validating test data. Coordinate with data teams to ensure accurate and secure handling of sensitive data during test cycles. Identify, document, and track defects using test management tools; work closely with developers and analysts to resolve issues. Support Workday release management by testing new features and updates in sandbox environments prior to production deployment. Maintain detailed documentation of test results, test coverage, and testing metrics for audit and compliance purposes. Continuously improve testing processes and methodologies to enhance test efficiency, accuracy, and coverage. Mandatory Skills: Workday Testing. Experience: 3-5 Years.

Design, develop, and execute comprehensive test plans, test cases, and test scripts for Workday modules including HCM, Recruiting/Onboarding, Compensation, US Payroll, Benefits, and Absence, as well as integration testing Collaborate with cross-functional teams to understand business requirements and translate them into effective test scenarios. Perform various types of testing including end-to-end, regression, integration, and user acceptance testing (UAT). Validate Workday configurations, business processes, and integrations to ensure system functionality and data integrity. Manage and prepare data staging environments to support testing activities, including loading, transforming, and validating test data. Coordinate with data teams to ensure accurate and secure handling of sensitive data during test cycles. Identify, document, and track defects using test management tools; work closely with developers and analysts to resolve issues. Support Workday release management by testing new features and updates in sandbox environments prior to production deployment. Maintain detailed documentation of test results, test coverage, and testing metrics for audit and compliance purposes. Continuously improve testing processes and methodologies to enhance test efficiency, accuracy, and coverage. Mandatory Skills: Workday Testing. Experience: 5-8 Years.

Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Job Description: Position Overview: We are seeking an experienced AI Evangelist with 15-20 years of hands-on AI experience to join our team. This individual will play a key role in driving the company's AI initiatives, promoting the use of AI technologies, and influencing both internal and external stakeholders on AI innovations and capabilities. As an AI Evangelist, you will be responsible for translating complex AI concepts into business value, engaging with industry leaders, clients, and communities, and helping lead the strategic direction for AI at our organization. Key Responsibilities: AI Advocacy & Evangelism: Promote AI technologies within the company and the broader community by speaking at industry events, conferences, and engaging with industry groups. Act as the face of the organization for AI, building a positive reputation as an AI thought leader. Strategic Guidance: Work closely with executives and senior leadership to define the AI vision, strategy, and roadmap for the organization, ensuring alignment with business objectives and long-term goals. Hands-On AI Expertise: Leverage your hands-on AI experience to architect, develop, and deploy AI-driven solutions that address real-world business challenges. Lead by example in prototyping and proof-of-concept development. Collaboration and Cross-Functional Leadership: Partner with product teams, data scientists, engineers, and other stakeholders to design, build, and implement AI solutions that add tangible value to the organization. AI Community Engagement: Actively contribute to the AI community through publishing articles, whitepapers, and research, while participating in open-source AI initiatives and collaborating with academic institutions. Training & Mentorship: Educate and mentor junior AI professionals within the organization, ensuring the continuous development of AI talent. Conduct workshops and internal training sessions to upskill employees on AI best practices. Innovation & Research: Stay abreast of the latest advancements in AI and machine learning and explore emerging technologies, bringing cutting-edge ideas and concepts to the organization. Client Interaction & Consultations: Engage directly with clients to understand their AI needs and provide customized AI solutions. Work with sales and marketing teams to showcase AI offerings to clients and stakeholders. Must have skills: Experience: 13+ years of hands-on experience in AI, machine learning, deep learning, and related technologies. Education: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Ph.D. is a plus. Proven Leadership: Significant experience in a senior AI leadership role, with a track record of successfully driving AI initiatives and influencing business strategy. Hands-On Expertise: Expertise in AI algorithms, model development, data processing, and deploying production-grade AI solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn. Programming Skills: Advanced proficiency in Python, R, or similar programming languages, with experience in AI/ML libraries and tools. Strong Communication Skills: Excellent written and verbal communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders. Innovation-Oriented: A strong passion for AI innovation, research, and staying up to date with cutting-edge advancements in the field. Business Acumen: A deep understanding of how AI can drive business value, with a focus on delivering tangible, measurable results. Industry Knowledge: Extensive knowledge of AI trends, technologies, and industry best practices, with experience across multiple domains such as NLP, computer vision, and reinforcement learning. Public Speaking & Presentation Skills: Proven experience in delivering presentations at conferences, webinars, and industry events. Good to have Skills: Experience in AI product management or commercialization of AI solutions. Involvement in AI-related publications, research, or patents. Experience working in AI-related consulting or client-facing roles. Familiarity with cloud-based AI solutions and services (e.g., AWS AI/ML, Azure AI, Google Cloud AI). Behavioral Competencies : Proven experience of delivering process efficiencies and improvements Clear and fluent English (both verbal and written) Ability to build and maintain efficient working relationships with remote teams Demonstrate ability to take ownership of and accountability for relevant products and services Ability to plan, prioritise and complete your own work, whilst remaining a team player Willingness to engage with and work in other technologies Skills: Artificial Intelligence Leadership

Design, develop, and execute comprehensive test plans, test cases, and test scripts for Workday modules including HCM, Recruiting/Onboarding, Compensation, US Payroll, Benefits, and Absence, as well as integration testing Collaborate with cross-functional teams to understand business requirements and translate them into effective test scenarios. Perform various types of testing including end-to-end, regression, integration, and user acceptance testing (UAT). Validate Workday configurations, business processes, and integrations to ensure system functionality and data integrity. Manage and prepare data staging environments to support testing activities, including loading, transforming, and validating test data. Coordinate with data teams to ensure accurate and secure handling of sensitive data during test cycles. Identify, document, and track defects using test management tools; work closely with developers and analysts to resolve issues. Support Workday release management by testing new features and updates in sandbox environments prior to production deployment. Maintain detailed documentation of test results, test coverage, and testing metrics for audit and compliance purposes. Continuously improve testing processes and methodologies to enhance test efficiency, accuracy, and coverage. Mandatory Skills: Workday Testing.Experience: 3-5 Years.

Role Purpose The purpose of this role is to provide solutions and bridge the gap between technology and business know-how to deliver any client solution Do 1. Bridging the gap between project and support teams through techno-functional expertise For a new business implementation project, drive the end to end process from business requirement management to integration & configuration and production deployment Check the feasibility of the new change requirements and provide optimal solution to the client with clear timelines Provide techno-functional solution support for all the new business implementations while building the entire system from the scratch Support the solutioning team from architectural design, coding, testing and implementation Understand the functional design as well as technical design and architecture to be implemented on the ERP system Customize, extend, modify, localize or integrate to the existing product by virtue of coding, testing & production Implement the business processes, requirements and the underlying ERP technology to translate them into ERP solutions Write code as per the developmental standards to decide upon the implementation methodology Provide product support and maintenance to the clients for a specific ERP solution and resolve the day to day queries/ technical problems which may arise Create and deploy automation tools/ solutions to ensure process optimization and increase in efficiency Sink between technical and functional requirements of the project and provide solutioning/ advise to the client or internal teams accordingly Support on-site manager with the necessary details wrt any change and off-site support 2. Skill upgradation and competency building Clear wipro exams and internal certifications from time to time to upgrade the skills Attend trainings, seminars to sharpen the knowledge in functional/ technical domain Write papers, articles, case studies and publish them on the intranet Mandatory Skills: Collibra. Experience: 5-8 Years.