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VALUEMOMENTUM Inc

<div><div>Job Title: AI/ML Lead</div>
<div>Job ID: POS-16044</div>
<div>Primary Skill: AWS Services</div>
<div>Location: Hyderabad
</div><div>Experience: 9.00</div> 
 
<div>Job Description: AI Architect 

Job Title: AI Architect
Primary skills: AWS
Location: Hyderabad/ERIE, PA
Mode of work: Work from Office
Experience: 8 - 10 Yrs. 

About the job
We are seeking an AI Architect to join their team in Erie, PA. We are looking for a senior data scientist/agentic AI architect with heavy ML/MLops experience (strong Python) who can evaluate and implement models that are provided by the enterprise and act as Lead Engineer. We are really searching for someone who can analyze the models and select which model can be used for which situation. The Senior/Lead ML Engineer will need deep ML knowledge but will not be building models from scratch, but potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows). 
Know your team
At ValueMomentum&rsquo;s Engineering Center, we are a team of passionate engineers who thrive on tackling complex business challenges with innovative solutions while transforming the P&amp;C insurance value chain. We achieve this through strong engineering foundation and continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise. 

Join a team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development leveraging immersive learning platforms. You'll have the opportunity to showcase your talents by contributing to impactful projects. 

Responsibilities
<ul><li>Lead the design and development of an Agentic AI platform</li>
<li>Architect and implement core systems for agent-based AI workflows</li>
<li>Apply GenAI for documentation use cases such as extraction, indexing, summarization, classification, bundling and routing.</li>
<li>Design and develop RAG/Graph RAG with ingestion pipelines using langchain or AWS Bedrock.</li>
<li>Develop conversation intelligence solutions using any Gen AI tech stack. Ex: LangChain,Streamlit, Copilot Studio or AWS Q Developer.</li>
<li>Finetune LLM Foundational models on AWS Bedrock.</li>
<li>Design and Develop LLM and AI application evaluation sets.</li>
<li>Develop and optimize ML models, pipelines, and orchestration logic</li>
<li>Provide technical leadership and guidance to development teams on leveraging the self-service platform for their AI-based initiatives.</li>
<li>Collaborate with stakeholders to define key performance indicators (KPIs) and establish metrics for measuring the effectiveness and adoption of the self-service platform with improved developer experience.</li></ul> 

<ul><li>Requirements 
Bachelor&rsquo;s / master&rsquo;s degree in computer science, Engineering, or a related field (or equivalent work experience).</li>
<li>Programming Languages: Proficiency in Python is essential.</li>
<li>Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK</li>
<li>Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems</li>
<li>Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)</li>
<li>Cloud Platforms: Familiarity with AWS</li>
<li>Data Engineering: Proficiency in data preprocessing and feature engineering</li>
<li>Version Control: Experience with GitHub for version control</li>
<li>Data Science Practices: Skills in building models, testing/validation, and deployment</li>
<li>Collaboration: Experience working in an Agile framework</li>
<li>RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search</li>
<li>Understanding of AWS services such as EC2, S3, VPC, IAM, Lambda, API Gateway, and others.</li>
<li>Knowledge in infrastructure as code (IaC) tools such as Terraform,.</li>
<li>Understanding of cloud security best practices, compliance standards, and governance frameworks.</li>
<li>Experience with containerization technologies (e.g., Docker, Kubernetes) and serverless computing.</li>
<li>Experience with DevOps practices, including CI/CD pipelines, configuration management, and automated testing.</li>
<li>Experience in network architecture, IDAM (Identity and Access Management), Active Directory, key vaults, and other network, security-related components.</li>
<li>Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.</li>
<li>Effective communication and collaboration skills, with the ability to effectively interact with stakeholders at all levels.</li></ul> 

About ValueMomentum
ValueMomentum is a leading solutions provider for the global property &amp; casualty insurance industry, supported by deep domain and technology capabilities. We offer a comprehensive suite of advisory, development, implementation, and maintenance services across the entire P&amp;C insurance value chain. This includes Underwriting, Claims, Distribution, and more, empowering insurers to stay ahead with sustained growth, high performance, and enhanced stakeholder value. Trusted by over 75 insurers, ValueMomentum is one of the largest standalone insurance-focused solutions providers to the US insurance industry. 
Our culture &ndash; Our fuel
At ValueMomentum, we believe in making employees win by nurturing them from within, collaborating and looking out for each other.
<ul><li>People first - Empower employees to succeed.</li>
<li>Nurture leaders - Nurture from within.</li>
<li>Enjoy wins &ndash; Recognize and celebrate wins.</li>
<li>Collaboration &ndash; Foster a culture of collaboration and people-centricity.</li>
<li>Diversity &ndash; Committed to diversity, equity, and inclusion.</li>
<li>Fun &ndash; Create a fun and engaging work environment.</li>
<li>Warm welcome &ndash; Provide a personalized onboarding experience.</li></ul> 

Company Benefits
<ul><li>Compensation - Competitive compensation package comparable to the best in the industry.</li>
<li>Career Growth - Career development, comprehensive training &amp; certification programs, and fast track growth for high potential associates.</li>
<li>Benefits: Comprehensive health benefits and life insurance.</li></ul> 

**** 
</div> 
<div><div>About the Company: 
 
ValueMomentum is a leading solutions provider for the global property and casualty insurance industry. The company helps insurers stay ahead with sustained growth and high performance, enhancing stakeholder value and fostering resilient societies. Having served over 100 insurers, ValueMomentum is one of the largest services providers exclusively focused on the insurance industry. 
</div> 
<div>Benefits: 
 
We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
<ul><li>Competitive compensation package.</li>
<li>Career Advancement: Individual Career Development, coaching and mentoring programs for professional and leadership skill development.</li>
<li>Comprehensive training and certification programs.</li>
<li>Performance Management: Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.</li></ul></div></div></div>

AI/ML Lead

Microsoft

<div>
 We are seeking a talented
 
 Software Engineer
 
 with deep expertise in building user-centric experiences and a proven track record of delivering AI-enabled, scalable solutions. In this role, you will drive the vision and execution for Microsoft 365 AI, working in a dynamic and fast-paced environment. Collaboration with cross-functional teams is key.
 
 
 The ideal candidate will have strong knowledge of JavaScript and TypeScript, and extensive experience with UX frameworks. Proficiency in React is essential, as you will build reusable components and front-end libraries, enhancing the efficiency and coherence of our products. If you are passionate about AI and user experience, we want to hear from you!
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Architect and implement core response rendering components.
 </li>
 <li>
 Collaborate with partner teams to onboard new experiences into Response UX.
 </li>
 <li>
 Optimize performance and memory usage across the client stack.
 </li>
 <li>
 Drive telemetry instrumentation and metric validation.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Solid proficiency in JavaScript and TypeScript, with practical experience in developing web client applications deployed on major cloud platforms.
 </li>
 <li>
 Proven track record as a Software Development Engineer, with experience in delivering products.
 </li>
 <li>
 Familiarity with chat bots and NLP concepts is a plus but not required.
 </li>
 <li>
 Solid collaboration skills with the ability to work in a dynamic and agile environment.
 </li>
 <li>
 Passion for improving engineering practices and producing high-quality software.
 </li>
 <li>
 Self-motivated and customer focused.
 </li>
 <li>
 Solid written and verbal communication skills.
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 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:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science
 </li>
 <ul>
 <li>
 OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Minimum of 4+ years of experience in front-end development with JavaScript and React.
 
 </li>
 </ul>
 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>

Software Engineer (Front-End)

Xemplar Insights

<div>
 
 
 
 Must Have Skills:
 
 
 
 <ol>
 <li>
 Machine learning techniques: regression, classification, clustering, deep learning
 </li>
 <li>
 Programming languages: Python, R
 </li>
 <li>
 Machine learning libraries: TensorFlow, scikit-learn, PyTorch
 </li>
 <li>
 Data wrangling, feature engineering
 </li>
 <li>
 Model validation and testing
 </li>
 <li>
 Cloud platforms, distributed computing, big data technologies
 </li>
 </ol>
 
 
 
 
 
 
 Nice to Have Skills:
 
 
 
 <ol>
 <li>
 Knowledge of P&amp;C Insurance domain
 </li>
 <li>
 Experience working with US-based customers
 </li>
 <li>
 Experience in leading teams or projects
 </li>
 <li>
 Experience with high-performance computing
 </li>
 <li>
 GenAi Skills, Experience with LLMs.
 </li>
 </ol>
 
 
 
 
 
 
 Job Responsibilities of this position:
 
 
 
 
 1. Architect the design and development of AI/ML predictive models that significantly enhance decision-making processes for clients, leveraging their own historical data sets and industry insights.
 
 
 2. Engage with senior executives and key stakeholders to fully understand their business needs, strategic objectives, and data requirements, ensuring the AI/ML models are precisely tailored to deliver maximum business value.
 
 
 3. Oversee the implementation, testing, and validation of machine learning algorithms, ensuring that the models are not only accurate but also scalable, reliable, and robust for enterprise-level production environments.
 
 
 4. Collaborate cross-functionally with product managers, engineers, and data scientists to integrate AI/ML models into Xemplar&rsquo;s product ecosystem, optimizing performance and efficiency across multiple teams.
 
 
 5. Provide expert analysis and interpretation of complex data sets from various sources, delivering actionable insights that inform business decisions and improve the accuracy and predictive power of models.
 
 
 6. Stay ahead of emerging AI/ML trends and innovations, actively incorporating cutting-edge research, techniques, and best practices into the modeling and development processes.
 
 
 7. Drive the technical vision and strategic direction for AI/ML initiatives, mentoring and guiding less experienced team members while also establishing best practices and a culture of continuous improvement.
 
 
 8. Partner with business analysts, frontend, mid-tier, and backend developers to ensure the development, deployment, and performance of production applications that effectively utilize AI/ML models to deliver real-world impact.
 
 
 
 
 
 Required Relevant Experience:
 
 <ol>
 <li>
 5+ years of experience in developing and deploying AI/ML predictive models in production environments, with a strong portfolio of successful enterprise-scale projects and solutions.
 </li>
 <li>
 Expertise in machine learning techniques, including but not limited to regression, classification, clustering, time series analysis, and deep learning.
 </li>
 <li>
 Advanced proficiency in programming languages such as Python, R, or similar, and mastery of machine learning libraries (e.g., TensorFlow, scikit-learn, PyTorch).
 </li>
 <li>
 Extensive experience with data wrangling, feature engineering, and working with large, complex, high-volume datasets.
 </li>
 <li>
 Proven track record in model validation and testing, ensuring models are robust, reliable, and scalable across different use cases and environments.
 </li>
 <li>
 Deep understanding of the P&amp;C Insurance domain, with specific experience in areaslike claims prediction, risk modeling, pricing optimization, and customer segmentation.
 </li>
 <li>
 Strong ability to communicate complex technical concepts to senior, non-technical stakeholders, influencing decision-making at the highest levels.
 </li>
 <li>
 Significant hands-on experience working with both structured and unstructured data atscale, with expertise in cloud platforms, distributed computing, and big data technologies.
 </li>
 <li>
 5+ years of experience in predictive model development, data mining, statistical modeling, and high-performance computing in complex enterprise environments.
 </li>
 </ol>
 
 
 
 
 
 
 
 
 Years of experience required:
 
 3 to 5+ years
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Mode of work:
 
 Work of Office (All 5 days a week Work from office)
 
 
 
</div>

Data Scientist

Teradata

<div>
 
 Our company:
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What you will do:
 
 
 
 As a senior product leader, you will drive the creation of Teradata&rsquo;s next-generation AI Marketplace from the ground up, redefining how AI/ML technologies are integrated into our global portfolio of enterprise-scale data and analytics platforms. Based in India, you will architect and lead the strategy for a groundbreaking AI Marketplace that empowers customers to leverage Teradata&rsquo;s VantageCloud and data warehouse capabilities through innovative AI-driven solutions.
 
 
 <ul>
 <li>
 Vision and Strategy: Define and champion the vision for the Teradata AI Marketplace, creating a scalable, enterprise-grade platform that enables seamless discovery, deployment, and management of AI models, tools, and applications.
 </li>
 <li>
 Marketplace Development: Lead the end-to-end development of the AI Marketplace, from conceptualization to launch, ensuring it delivers a robust ecosystem tailored for enterprise data and analytics workloads.
 </li>
 <li>
 AI Integration: Shape how AI/ML technologies are embedded into the Marketplace, enabling customers to harness VantageCloud and data warehouse capabilities for advanced insights, automation, and intelligent applications.
 </li>
 <li>
 Roadmap Leadership: Set and own the product roadmap for the AI Marketplace, balancing cutting-edge innovation with enterprise requirements for performance, governance, and compliance.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with global engineering, data science, UX, and go-to-market teams to build a secure, intuitive, and high-performance Marketplace that meets enterprise needs.
 </li>
 <li>
 Customer-Centric Design: Engage with customers to understand their challenges and needs, ensuring the Marketplace delivers measurable value for mission-critical AI workloads in hybrid and multi-cloud environments.
 </li>
 <li>
 Ecosystem Development: Build and nurture partnerships with AI vendors, developers, and third-party providers to create a vibrant Marketplace ecosystem, driving adoption and innovation.
 
 
 </li>
 </ul>
 
 Who you will work with:
 
 
 
 On our team, we collaborate with engineering, cloud infrastructure, data science, UX, and governance functions to bring next-generation AI capabilities into Teradata&rsquo;s enterprise ecosystem. We are responsible for the product vision, roadmap, and execution of AI initiatives, ensuring they meet both business and technical objectives.
 
 
 This role reports to the
 
 SVP of Product Engineering
 
 and will partner closely with product engineering and platform leaders worldwide. You will act as a strategic AI product leader for Teradata, influencing global product direction.
 
 
 
 What makes you a qualified candidate:
 
 
 
 <ul>
 <li>
 Degree from top tier IIT in Computer Science, Data Science, Engineering, or related field (PhD preferred).
 </li>
 <li>
 15+ years of product management experience, including 5+ years leading AI/ML or advanced analytics products.
 </li>
 <li>
 Deep technical expertise in AI/ML concepts including LLMs, foundation models, supervised/unsupervised learning, fine-tuning, inference pipelines, and multi-modal AI.
 </li>
 <li>
 Proven success embedding AI into enterprise-scale platforms, especially in data management, analytics, or cloud environments.
 </li>
 <li>
 Strong technical fluency with AI infrastructure &mdash; including distributed training, inference optimization, GPU/accelerator integration, and workload orchestration.
 </li>
 <li>
 Experience defining APIs, SDKs, and developer integrations for enterprise AI adoption.
 </li>
 <li>
 Demonstrated knowledge of hybrid and multi-cloud architectures and their impact on AI performance, scalability, and cost optimization.
 </li>
 <li>
 Familiarity with governance and compliance frameworks (HIPAA, GDPR, SOC2) and applying them to AI/ML solutions.
 </li>
 <li>
 Exceptional communication skills with the ability to influence C-level stakeholders and articulate AI product strategy.
 </li>
 <li>
 Track record of customer engagement, market analysis, and competitive benchmarking in enterprise software.
 
 
 </li>
 </ul>
 
 What you will bring:
 
 
 
 <ul>
 <li>
 Expertise in optimizing AI workloads across cloud and hybrid environments, ensuring cost-efficiency and performance at scale.
 </li>
 <li>
 Hands-on knowledge of GPU, TPU, and emerging accelerator technologies for training, inference, and fine-tuning AI models.
 </li>
 <li>
 Ability to bridge AI model development with structured and unstructured enterprise data at petabyte scale.
 </li>
 <li>
 A strong understanding of responsible AI, including fairness, explainability, auditability, and bias detection.
 </li>
 <li>
 Vision to anticipate industry trends and position Teradata&rsquo;s AI offerings as differentiated and enterprise-ready.
 </li>
 <li>
 Passion for enabling intuitive, AI-powered user experiences (e. g. , natural language query, automated insights, intelligent automation).
 </li>
 <li>
 Ability to operate as a senior executive IC &mdash; setting strategy, guiding technical direction, and influencing globally without direct people management responsibilities.
 
 
 </li>
 </ul>
 
 Why we think you will love Teradata:
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are
 
 
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Principal Product Manager - AI Marketplace

<div>
 Do you want to be part of a cloud platform that powers mission-critical automation for enterprises worldwide? Do you want to help design and build the service that orchestrates millions of secure jobs daily across cloud, hybrid, and on-premises environments, managing everything from datacenter operations to business-critical customer workflows?
 
 
 Do you thrive on solving deeply technical distributed systems challenges while working across full-stack scenarios&mdash;from control plane APIs, service fabric, and hybrid agents, to customer experiences and AI-driven copilots? Do you want the opportunity to influence the roadmap and vision of a core Azure service that underpins some of the most critical workloads across Microsoft and its customers?
 
 
 Azure Automation is a cloud service that enables organizations to simplify, secure, and scale their IT operations. It provides hybrid job orchestration, configuration management, and process automation across Azure, on-premises, and multi-cloud environments.
 
 
 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
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and build scalable, secure, and resilient components of the Azure Automation service, enabling customers to automate IT and business operations across cloud and hybrid environments.
 </li>
 <li>
 Develop APIs, services, and tooling that orchestrate millions of automation jobs reliably while meeting strict performance and availability SLAs.
 </li>
 <li>
 Collaborate with partner Azure services to deliver seamless integration scenarios for customers.
 </li>
 <li>
 Contribute to hybrid capabilities, including the Hybrid Runbook Worker, ensuring consistent automation across on-premises datacenters and multi-cloud deployments.
 </li>
 <li>
 Leverage AI and intelligent automation to enhance customer experiences and deliver next-generation management solutions.
 </li>
 <li>
 Implement telemetry, monitoring, and diagnostics to ensure observability, proactive issue detection, and continuous service improvement.
 </li>
 <li>
 Work in an agile, customer-focused team, participating in design reviews, code reviews, and driving high-quality engineering practices.
 </li>
 <li>
 Influence the roadmap and vision by contributing technical insights and collaborating across global engineering teams.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <ul>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Other Requirements
 
 
 
 <ul>
 <li>
 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:
 </li>
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science
 </li>
 <ul>
 <li>
 OR related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
 </li>
 <li>
 OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
 </li>
 </ul>
 <li>
 1+ year(s) experience collaborating with peers and partner teams to achieve shared engineering objectives.
 </li>
 <li>
 1+ year(s) experience in coding, debugging, algorithm design, and solving technical problems.
 </li>
 <li>
 1+ year(s) experience working with cloud-scale services and managing server or service infrastructure.
 
 </li>
 </ul>
 #azurecorejobs
 
 
 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>

Software Engineer

Sutherland

<div>
 
 
 
 LOOKING FOR IMMEDIATE JOINERS ONLY
 
 
 
 
 
 
 
 
 
 Job Summary
 
 
 
 
 We are seeking an experienced SAP MM (Materials Management) Consultant with a strong technical background and hands-on experience in full life cycle implementations of both SAP ECC and S/4HANA Public Cloud. The ideal candidate must possess deep functional and technical knowledge of SAP MM modules, with the ability to work independently and directly with clients, demonstrating excellent communication and stakeholder management skills.
 
 
 
 
 
 
 Job Description - Duties and Responsibilities:
 
 
 
 
 
 SAP MM Senior Consultant
 
 
 <ul>
 <li>
 Lead and participate in end-to-end SAP MM implementations, including requirements gathering, blueprinting, configuration, testing, training, and post-go-live support.
 </li>
 <li>
 Deliver S/4HANA Public Cloud projects with a strong understanding of Fit-to-Standard methodology.
 </li>
 <li>
 Configure SAP MM modules including procurement processes, inventory management, invoice verification, vendor management, and integration with other SAP modules (SD, FI, WM, etc.).
 </li>
 <li>
 Translate business requirements into functional specifications and design SAP solutions aligned with best practices in public cloud deployments.
 </li>
 <li>
 Liaise directly with business users and stakeholders to analyze needs and provide expert guidance on SAP capabilities and enhancements.
 </li>
 <li>
 Collaborate with technical teams for developments (RICEFW), ensuring proper documentation and testing.
 </li>
 <li>
 Support data migration activities and interface design between SAP and external systems.
 </li>
 <li>
 Provide training and knowledge transfer to key users and project team members.
 </li>
 <li>
 Stay updated on SAP innovations in MM and S/4HANA Public Cloud offerings.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Qualifications &amp; Skills:
 
 
 <ul>
 <li>
 12+ years of experience as an SAP MM Consultant with full cycle implementation exposure.
 </li>
 <li>
 At least 2 full life cycle implementations in S/4HANA Public Cloud.
 </li>
 <li>
 Strong hands-on experience with SAP MM configuration, including Purchasing, Inventory Management, and Logistics Invoice Verification.
 </li>
 <li>
 Proven experience with SAP ECC to S/4HANA migrations or greenfield implementations.
 </li>
 <li>
 Familiarity with SAP Activate methodology and Fit-to-Standard approach.
 </li>
 <li>
 Solid understanding of integration with other SAP modules (FI, SD, PP, etc.).
 </li>
 <li>
 Ability to engage with business users and clearly communicate functional concepts and system capabilities.
 </li>
 <li>
 Excellent verbal and written communication skills, with the ability to present to senior stakeholders.
 </li>
 <li>
 Experience with SAP Fiori apps and S/4HANA Public Cloud best practices is highly preferred.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 SAP S/4HANA certification in MM or Procurement.
 </li>
 <li>
 Experience working in Agile/Hybrid environments.
 </li>
 <li>
 Exposure to SAP BTP extensions or side-by-side integrations is a plus.
 </li>
 </ul>
 
 Bachelor&rsquo;s degree in computer science, Engineering, Business, or related field
 
 
 
</div>

Sap Materials Management Consultant

<div>
 Microsoft&rsquo;s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI! CSCP&rsquo;s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale. Our mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries.
 
 
 Microsoft Cloud Planning (MCP) is the central planning function within CSCP focused on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware, directly impacting the success of Microsoft's cloud business.
 
 
 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.
 
 
 #CSCP #CSCPJobs
 
 
 
 Responsibilities
 
 
 
 Researches and develops production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for our global cloud business by using statistical and machine learning techniques. Manages large volumes of data, and creates new and improved solutions for data collection, management, analyses, and data science model development. Drives the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection. Applies statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize our data science model code for distributed computing platforms and task automation. Works closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning. Presents analytical findings and business insights to project managers, stakeholders, and senior leadership and keeps abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance. Oversees and directs the plan or forecast across the company for demand planning. Evangelizes the demand plan with other leaders. Drives clarity and understanding of what is required to achieve the plan (e.g., promotions, sales resources, collaborative planning, forecasting, and replenishment [CPFR], budget, engineering changes) and assesses plans to mitigate potential risks and issues. Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models. Oversees development of short and long term demand forecasts and develops and publishes key forecast accuracy metrics. Analyzes data to identify potential sources of forecasting error. Serves as an expert resource and leader of demand planning across the company and ensures that business drivers are incorporated into the plan (e.g., forecast, budget). Leads collaboration among team and leverages data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Consistently leverages knowledge of techniques to optimize analysis using algorithms. Modifies statistical analysis tools for evaluating Machine Learning models. Solves deep and challenging problems for circumstances such as when model predictions are not correct, when models do not match the training data or the design outcomes when the data is not clean when it is unclear which analyses to run, and when the process is ambiguous. Provides coaching to team members on business context, interpretation, and the implications of findings. Interprets findings and their implications for multiple businesses, and champions methodological rigor by calling attention to the limitations of knowledge wherever biases in data, methods, and analysis exist. Generates and leverages insights that inform future studies and reframe the research agenda. Informs both current business decisions by implementing and adapting supply-chain strategies through complex business intelligence. Connects across functional teams and the broader organization outside of Demand Planning to advocate for continuous improvement and maintain best practices. Leads broad governance and rhythm of the business processes that ensure cross-group collaboration, discussion of key issues, and an opportunity to build proposed solutions to address current or future business needs.
 
 
 
 Qualifications
 
 
 
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 Required/minimum Qualifications
 
 
 
 Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR Associate's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field OR equivalent experience.
 
 
 
 Other Requirements
 
 
 
 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:
 
 
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 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
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 Preferred Qualifications
 
 
 
 PhD in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field. Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency. Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice. Prior experience in time series forecasting. Prior experience with typical data management systems and tools such as SQL. Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, DataBricks or similar. Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git. Knowledge of supply chain models, operations research techniques, optimization modelling and solvers. Excellent analytical skills; ability to understand business needs and translate them into technical solutions, including analysis specifications and models. Creative thinking skills with emphasis on developing innovative methods to solve hard problems under ambiguity and no obvious solutions. Good interpersonal and communication (verbal and written) skills, including the ability to write concise and accurate technical documentation and communicate technical ideas to non-technical audiences.
 
 
 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.
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