director - master data management (mdm) domain architect Jobs in Hyderabad

director - master data management (mdm) domain architect

enterprise cloud architect

Indus Systems & Services

<div>
 
 Job Title: Presales Manager &ndash; IT Infrastructure Solutions
 
 
 
 Role Overview: We are seeking an experienced Presales Manager with strong technical expertise in Server, Storage, Hyperconverged Infrastructure (HCI), Backup, Virtual Desktop Infrastructure (VDI), Mobile Device Management (MDM), and Disaster Recovery (DR) solutions.
 
 The ideal candidate should have hands-on experience with OEMs such as Dell, HPE, Lenovo, Broadcom, Nutanix, Commvault, Veeam, and Omnissa (formerly VMware EUC), and should be capable of designing, positioning, and presenting complex IT infrastructure solutions to enterprise customers.
 
 
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities:
 
 
 
 <li>
 
 
 Presales &amp; Solution Design
 
 
 
 </li>
 <li>
 
 Understand customer requirements and translate them into
 
 solution architectures
 
 using multi-vendor technologies.
 
 
 </li>
 <li>
 
 Design, size, and propose infrastructure solutions around
 
 Servers, Storage, HCI, VDI, Backup, DR, and MDM
 
 .
 
 
 </li>
 <li>
 
 Conduct
 
 POCs (Proof of Concepts)
 
 , product demos, and solution workshops for clients.
 
 
 </li>
 <li>
 
 Prepare
 
 technical proposals, BOMs, RFP responses, and solution presentations
 
 in collaboration with sales teams.
 
 
 </li>
 <li>
 
 
 Vendor &amp; Partner Coordination
 
 
 
 </li>
 <li>
 
 Work closely with OEMs and distributors such as
 
 Dell, HPE, Lenovo, Nutanix, Broadcom, Commvault, Veeam, and Omnissa
 
 for technical validations, pricing, and solution optimization.
 
 
 </li>
 <li>
 
 Keep up-to-date with latest product releases, certifications, and partner programs.
 
 
 </li>
 <li>
 
 
 Customer Engagement
 
 
 
 </li>
 <li>
 
 Engage with enterprise customers to understand business challenges and map suitable technology solutions.
 
 
 </li>
 <li>
 
 Deliver
 
 technical presentations, workshops, and product deep-dives
 
 to CXO-level stakeholders.
 
 
 </li>
 <li>
 
 Support customer meetings along with the sales team to drive technical closure.
 
 
 </li>
 <li>
 
 
 Internal Collaboration
 
 
 
 </li>
 <li>
 
 Collaborate with delivery and implementation teams for
 
 handover of won deals
 
 , ensuring technical accuracy and scope alignment.
 
 
 </li>
 <li>
 
 Train and mentor junior presales or sales teams on new solutions and architectures.
 
 
 </li>
 <li>
 
 
 Strategic Contribution
 
 
 
 </li>
 <li>
 
 Identify opportunities for
 
 solution bundling and cross-selling
 
 across product lines.
 
 
 </li>
 <li>
 
 Provide technical inputs for
 
 go-to-market strategies
 
 and marketing collateral.
 
 
 </li>
 <li>
 
 Support the organization in achieving
 
 partner certifications and vendor accreditations
 
 
 
 
 </li>
 Required Technical Expertise:
 
 
 
 <li>
 
 
 Compute &amp; Storage:
 
 
 
 </li>
 <li>
 
 Dell PowerEdge, HPE ProLiant, Lenovo ThinkSystem servers
 
 
 </li>
 <li>
 
 SAN/NAS storage from Dell, HPE, Lenovo
 
 
 </li>
 <li>
 
 RAID, iSCSI, Fibre Channel, NVMe technologies
 
 
 </li>
 <li>
 
 
 HCI &amp; Virtualization:
 
 
 
 </li>
 <li>
 
 Nutanix AHV, VMWare vSAN, HPE Simplivity, Dell VxRail
 
 
 </li>
 <li>
 
 Virtualization platforms (VMware, Hyper-V, Nutanix AHV)
 
 
 </li>
 <li>
 
 
 Backup &amp; DR:
 
 
 
 </li>
 <li>
 
 Commvault, Veeam, Dell Data Protection Suite
 
 
 </li>
 <li>
 
 DR planning, replication, cloud backup, and recovery solutions
 
 
 </li>
 <li>
 
 
 VDI &amp; MDM:
 
 
 
 </li>
 <li>
 
 Omnissa Horizon (formerly VMware Horizon), Citrix, or Accops
 
 
 </li>
 <li>
 
 MDM solutions such as Omnissa Workspace ONE, Intune, or MobileIron
 
 
 
 
 
 </li>
 Benefits
 
 
 
 Qualifications:
 
 
 
 <li>
 
 Bachelor&rsquo;s degree
 
 
 </li>
 <li>
 
 4+ years of experience in
 
 Presales / Solution Architect / Technical Consultant
 
 role in IT infrastructure domain.
 
 
 </li>
 <li>
 
 Strong communication, presentation, and proposal-writing skills.
 
 
 </li>
 <li>
 
 Ability to manage multiple RFPs, tight deadlines, and cross-functional coordination.
 
 
 
 </li>
 Key Competencies:
 
 
 
 <li>
 
 Strong
 
 solution-selling and consultative approach
 
 
 
 </li>
 <li>
 
 Excellent
 
 documentation and presentation skills
 
 
 
 </li>
 <li>
 
 
 Customer-centric
 
 and outcome-driven mindset
 
 
 </li>
 <li>
 
 Deep understanding of
 
 enterprise datacenter architectures
 
 
 
 </li>
 <li>
 
 Ability to handle
 
 technical negotiations
 
 with customers and OEMs
 
 
 </li>
</div>

Presales Manager – IT Infrastructure Solutions

Microsoft

<div>
 We are the Windows Servicing and Delivery (WSD) organization, our core mission is to keep customers protected and productive by delivering seamless and timely Windows updates to our customers in existing and future versions of Windows. This work demands solving complex challenges in the Windows operating systems and building mission-critical services and infrastructure. In addition to updates, we empower commercial and enterprise customers with products and solutions to deploy and secure their devices effectively.
 
 
 Our Autopatch Service team is looking for a highly motivated Senior Software Engineer to join our mission. In this role, you will lead the design, development, and deployment of highly scalable, reliable software systems, shape technical strategies, and build cloud services that operate at high availability and scale.
 
 
 As a member of the team, you will act as a Designated Responsible Individual (DRI) in an on-call rotation to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
 
 
 We value passion, creativity, agility, accountability and desire to learn new complex technical areas. Our customers are at the heart of everything we do, and delivering exceptional Windows experiences is our top priority. Their excitement fuels our passion for building high-quality solutions.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 If you're excited about building world-class teams, thrive on solving tough problems, and are driven by customer impact, we&rsquo;d love to hear from you.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and operationalize the deployment of complex, enterprise-grade cloud services that leverage multiple services and platforms, ensuring high availability, scalability, robustness, and observability.
 </li>
 <li>
 Create, implement, optimize, debug, refactor, and reuse code to enhance performance, maintainability, effectiveness, and return on investment (ROI).
 </li>
 <li>
 Leverage subject-matter expertise of product features and partner with stakeholders to drive project plans, release plans, and work items for the work group. Drive the identification of dependencies and the development of design documents for products, applications, services, or platforms.
 </li>
 <li>
 Act as a Designated Responsible Individual (DRI) and guide other engineers by developing and following the playbook, working on call to monitor systems/products/services for degradation, downtime, or interruptions, alerting stakeholders about status, and initiating actions to restore systems/products/services for both simple and complex problems when appropriate.
 </li>
 <li>
 Lead by example, engage in discussions on the architecture of products or solutions, and apply engineering principles to establish robust and maintainable architecture and designs.
 </li>
 <li>
 As a member of the team, you will act as a Designated Responsible Individual (DRI) in an on-call rotation (typically 24/7 for one week every 6-8 weeks) to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
 </li>
 <li>
 Drive engineering improvements and rigor within the team as well as with stakeholders.
 </li>
 <li>
 Mentor junior engineers in the team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 7+ years technical engineering experience with coding in languages C#, Azure and Cloud Technologies.
 </li>
 <li>
 Experience with Agile/scrum methodologies.
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 Candidates must be able to meet Microsoft, customer and/or government security screening requirements that are required for this role. These requirements include, but are not limited to the following specialized security screenings:
 
 
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Experience with large scale services, architecture and technologies. Experience building solutions with Azure is a plus.
 </li>
 <li>
 Experience with UI and scripting languages is a plus.
 </li>
 <li>
 Proven design and problem-solving skills, with an emphasis on quality and engineering excellence.
 </li>
 <li>
 Demonstrated experience in collaborating with geographically distributed partner teams
 </li>
 <li>
 Proven communication skills, both verbal and written.
 </li>
 <li>
 BS in Computer Science or equivalent preferred.
 
 </li>
 </ul>
 </ul>
 #wsdjobs
 
 
 #wsdindia
 
 
 #ewdindia
 
 
 #wsd
 
 
 #CPC
 
 
 #AutoPatch
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Software Engineer - C#

Amgen

<div>
 
 About Amgen
 
 
 
 Amgen harnesses the best of biology and technology to fight the world&rsquo;s toughest diseases, and make people&rsquo;s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what&rsquo;s known today.
 
 
 
 About The Role
 
 
 
 Role Description:
 
 
 We are seeking an experienced MDM Manager with 10&ndash;14 years of experience to lead strategic development and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica or Reltio. This role will involve managing a team of data engineers, architects, and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with enterprise data strategy.
 
 To succeed in this role, the candidate must have strong MDM experience along with Data Governance, DQ, Data Cataloging implementation knowledge, hence the candidates must have minimum 6-8 years of core MDM technical experience for this role (Along with total experience in the range of 10-14 years).
 
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms.
 </li>
 <li>
 Define and drive enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows.
 </li>
 <li>
 Match/Merge and Survivorship strategy and implementation experience
 </li>
 <li>
 Design and delivery of MDM processes and data integrations using Unix, Python, and SQL.
 </li>
 <li>
 Collaborate with backend data engineering team and frontend custom UI team for strong integrations and a seamless enhanced user experience respectively
 </li>
 <li>
 Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance.
 </li>
 <li>
 Coordinate with business and IT stakeholders to align MDM capabilities with organizational goals.
 </li>
 <li>
 Establish data quality metrics and monitor compliance using automated profiling and validation tools.
 </li>
 <li>
 Promote data governance and contribute to enterprise data modeling and approval workflow (DCRs).
 </li>
 <li>
 Ensure data integrity, lineage, and traceability across MDM pipelines and solutions.
 </li>
 <li>
 Provide mentorship and technical leadership to junior team members and ensure project delivery timelines.
 </li>
 <li>
 Lead custom UI design for better user experience on data stewardship
 
 
 </li>
 </ul>
 Basic Qualifications and Experience:
 
 
 <ul>
 <li>
 Master&rsquo;s degree with 8 - 10 years of experience in Business, Engineering, IT or related field OR
 </li>
 <li>
 Bachelor&rsquo;s degree with 10 - 14 years of experience in Business, Engineering, IT or related field OR
 </li>
 <li>
 Diploma with 14 - 16 years of experience in Business, Engineering, IT or related field
 
 
 </li>
 </ul>
 Functional Skills:
 
 
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 Deep knowledge of MDM tools (Informatica, Reltio) and data quality frameworks (IDQ) from configuring data assets to building end to end data pipelines and integrations for data mastering and orchestrations of ETL pipelines
 </li>
 <li>
 Very good understanding on reference data, hierarchy and its integration with MDM
 </li>
 <li>
 Hands on experience with custom workflows AVOS, Eclipse etc
 </li>
 <li>
 Strong experience with external data enrichment services like D&amp;B, Address doctor etc
 </li>
 <li>
 Strong experience on match/merge and survivorship rules strategy and implementations
 </li>
 <li>
 Strong experience with group fields, cross reference data and UUIDs
 </li>
 <li>
 Strong understanding of AWS cloud services and Databricks architecture.
 </li>
 <li>
 Proficiency in Python, SQL, and Unix for data processing and orchestration.
 </li>
 <li>
 Experience with data modeling, governance, and DCR lifecycle management.
 </li>
 <li>
 Proven leadership and project management in large-scale MDM implementations.
 </li>
 <li>
 Able to implement end to end integrations including API based integrations, Batch integrations and Flat file based integrations
 </li>
 <li>
 Must have worked on atleast 3 end to end implementations of MDM
 
 
 </li>
 </ul>
 
 Good-to-Have Skills:
 
 
 
 <ul>
 <li>
 Experience with Tableau or PowerBI for reporting MDM insights.
 </li>
 <li>
 Exposure to Agile practices and tools (JIRA, Confluence).
 </li>
 <li>
 Prior experience in Pharma/Life Sciences.
 </li>
 <li>
 Understanding of compliance and regulatory considerations in master data.
 
 
 </li>
 </ul>
 Professional Certifications:
 
 
 <ul>
 <li>
 Any MDM certification (e.g. Informatica, Reltio etc)
 </li>
 <li>
 Any Data Analysis certification (SQL)
 </li>
 <li>
 Any cloud certification (AWS or AZURE)
 
 
 </li>
 </ul>
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical abilities to assess and improve master data processes and solutions.
 </li>
 <li>
 Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.
 </li>
 <li>
 Effective problem-solving skills to address data-related issues and implement scalable solutions.
 </li>
 <li>
 Ability to work effectively with global, virtual teams
 
 
 </li>
 </ul>
 EQUAL OPPORTUNITY STATEMENT
 
 
 Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
 
 
 We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
</div>

MDM Specialist

<div>
 
 Be the voice behind the future&mdash;join us to build transformative speech technology for multilingual, intelligent experiences that reach billions.
 
 
 
 Microsoft is pioneering next-generation AI-driven speech solutions for voice agents, video translation, and call centre analytics.
 
 
 As a
 
 Senior Software Engineer
 
 in Microsoft&rsquo;s
 
 Azure Speech team
 
 , you will develop advanced customization infrastructure and data processing tools to finetune multilingual speech models, AOAI models, and multimodal generative AI powering real-time transcription, intelligent voice agents, and multilingual dubbing across Microsoft products and enterprise solutions. Your work will impact millions&mdash;enabling next-generation human&ndash;machine experiences for diverse markets, with a special focus on India.
 
 
 In this strategic role, you will have significant ownership on technical direction and drive innovation in scaling data processing, engineering efficiency and ease of AOAI customisation, and generative AI. You&rsquo;ll collaborate with top engineers and scientist and deliver breakthrough technologies for applications in voice agents, video translation, and call centre analytics.
 
 
 Based in
 
 Hyderabad
 
 , this on-site role offers opportunities to mentor, grow, and shape the future of multimodal interaction for Indian and global audiences.
 
 
 Microsoft&rsquo;s mission is to empower every person and organisation to achieve more. We embrace a growth mindset and encourage teams and leaders to bring their best.
 
 Join us to shape the future of speech and multimodal LLM technology.
 
 
 
 
 Responsibilities
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Deliver world-class and transformative engineering platforms for customizing Microsoft 1st party and 3rd party products and services.
 </li>
 <li>
 Set technical directions in model customization platforms and scalable data processing solutions for multilingual speech model, speech LLMs, and AOAI models.
 </li>
 <li>
 Build novel data solutions to synthesize complex speech scenarios and finetune models.
 </li>
 <li>
 Build data analysis metrics and solutions to understand the model results, identify gaps, and guide solutions.
 </li>
 <li>
 Collaborate with the global Microsoft team, drive innovative solutions for significant customer asks, and deliver sustained large impacts.
 </li>
 <li>
 Mentor and influence peers, sharing expertise and fostering a growth-oriented inclusive team culture.
 </li>
 <li>
 Contribute to patents and publications at top-tier conferences and represent the team&rsquo;s technical leadership within and outside Microsoft.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 BS/MS/PhD Degree in CS/EE or related fields with focus in machine learning, AI, or speech technologies.
 </li>
 <li>
 8+ years&rsquo; experience in software development skills with deep expertise in designing, building, and deploying large-scale, production-grade AI systems.
 </li>
 <li>
 Demonstration of excellent problem-solving skills and proven track record of delivering impactful results and high-quality solutions in complex engineering environments.
 </li>
 <li>
 Strong programming skills in Python, C++ or similar languages, with experience in large-scale data processing and distributed computing.
 </li>
 <li>
 Effective communication skills, both verbal and written.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with speech/audio processing, multilingual model development, or voice agent technologies.
 </li>
 <li>
 Familiarity with Azure, cloud-based AI platforms, or enterprise-scale deployment of speech solutions.
 </li>
 <li>
 Contributions to open-source projects, patents, or publications in top-tier conferences/journals.
 </li>
 <li>
 Demonstrated leadership in driving technical direction, influencing cross-functional teams, and mentoring peers.
 
 
 </li>
 </ul>
 
 Inclusivity &amp; Compliance
 
 
 
 <ul>
 <li>
 Commitment to fostering an inclusive, growth-oriented team culture.
 </li>
 <li>
 Adherence to Microsoft&rsquo;s EEO and diversity guidelines.
 
 
 </li>
 </ul>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Software Engineer

PepsiCo

<div>
 
 Overview
 
 
 
 
 We are PepsiCo
 
 
 
 PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
 
 
 We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this
 
 Winning with Pep+ Positive
 
 . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com.
 
 
 
 PepsiCo Data Analytics &amp; AI Overview:
 
 
 
 With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&amp;AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo&rsquo;s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
 
 
 The Data Science Pillar in DA&amp;AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&amp;AI Products. And will support &ldquo;pre-engagement&rdquo; activities as requested and validated by the prioritization framework of DA&amp;AI.
 
 
 
 Data Scientist-Gurugram and Hyderabad
 
 
 
 The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
 </li>
 <li>
 Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
 </li>
 <li>
 Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
 </li>
 <li>
 Use big data technologies to help process data and build scaled data pipelines (batch to real time)
 </li>
 <li>
 Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
 </li>
 <li>
 Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
 </li>
 <li>
 Automate ML models deployments
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 3years of hands-on work experience in data science / Machine learning
 </li>
 <li>
 Minimum 3year of SQL experience
 </li>
 <li>
 Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers.
 </li>
 <li>
 BE/BS in Computer Science, Math, Physics, or other technical fields.
 </li>
 <li>
 Data Science - Hands on experience and strong knowledge of building machine learning models - supervised and unsupervised models
 </li>
 <li>
 Programming Skills - Hands-on experience in statistical programming languages like Python and database query languages like SQL
 </li>
 <li>
 Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
 </li>
 <li>
 Any Cloud - Experience in Databricks and ADF is desirable
 </li>
 <li>
 Familiarity with Spark, Hive, Pig is an added advantage
 </li>
 <li>
 Model deployment experience will be a plus
 </li>
 <li>
 Experience with version control systems like GitHub and CI/CD tools
 </li>
 <li>
 Experience in Exploratory data Analysis
 </li>
 <li>
 Knowledge of ML Ops / DevOps and deploying ML models is required
 </li>
 <li>
 Experience using MLFlow, Kubeflow etc. will be preferred
 </li>
 <li>
 Experience executing and contributing to ML OPS automation infrastructure is good to have
 </li>
 <li>
 Exceptional analytical and problem-solving skills
 </li>
 </ul>
</div>

Data Scientist

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
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 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
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 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
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 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
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 Implement monitoring and logging tools to ensure AI model performance and reliability.
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 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
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 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
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 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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EY - GDS Consulting - AI and DATA -Gen AI - Senior

Delaplex

<div>
 
 About Company
 
 
 
 Delaplex is currently seeking a Solution Architect to join our Consulting Services team, specifically to the Infor WMS (Warehouse Management Systems). Solution Architect provides leadership and direction to the on-site implementation team on the design and execution of the solution and definition of business process workflows that accompany the solution. This role aims to take ownership of a solution within an implementation project and architect for software solutions that solve the customers business problem, while generating maximum value for the customer.
 
 
 
 Position Name: Infor WMS Business Consultant
 
 
 
 
 Experience: 4- 8 years
 
 
 
 
 Qualifications &amp; Responsibilities
 
 
 
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 Bachelor's or master's degree in computer science, Information Technology, or related field.
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 Proven experience as a Business Consultant with domain experience in Infor WMS.
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 Expertise performance tuning and database administration.
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 Strong understanding of technical platforms, infrastructure, and database structures.
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 Excellent problem-solving skills and the ability to work independently.
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 Effective verbal and written communication skills; able to collaborate with stakeholders to resolve issues and estimate project timelines.
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 Design reusable components and promote reusability using microservices-style architecture in SaaS environments.
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 Provide guidance during implementation of product performance, support, and maintenance; deliver technical support including design review, installation, configuration, troubleshooting, and system testing.
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 Contribute to practice growth by developing practice aids and best-practice collateral; conduct technical analysis sessions to translate functional and technical requirements into tailored solutions.
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 Enable and deliver knowledge transfer to teams on best practices and emerging technologies.
 
 
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 </ul>
 Skills: performance tuninng,infor wms,warehouse management systems,database administration
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Infor WMS Business Consultant

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