Organization: Technology

Company: Siemens Technology and Services Private Limited

Experience Level: Experienced Professional

Job Type: Full-time

Your Role and Responsibilities
Position Summary/Mission:

Drive compliance by consistently following the laid procedures to validate the content, process a Purchase Requisition into Purchase order with 100% accuracy and quick turnaround time with good communication skills and good email etiquette to handle Calls and email queries related to P2P scope of activities.

As an Operations Professional, the responsibilities include but are not limited to:

• Review requisition requirements and work efficiently with requesters and/or client employees to fulfill the requisition in the form of a Purchase Order to the appropriate Supplier.
• Recognize Non-Catalog Purchases that should be directed to a Catalog Solution
• Work efficiently with requester/client for additional information or any questions
• Determine Source from Sourcing provided Master File
• Negotiate cost savings and terms when applicable (non contracted sources)
• Procurement of low dollar purchases services (including source identification as needed)
• Price and delivery Confirmation
• PO Order receipt Confirmation
• Knowledge of all client specific processes and procedures
• Complete Customer requests for set up of new suppliers including providing applicable information
• Interface with clients and suppliers on supplier and payment issues in conjunction with tactical commodity manager
• Maintain all relevant supplier documentation
• Ensure audit readiness of all purchasing documents
• Work with cluster leads and team lead
• Resolve blocked invoices
• Expedite and Emergency Orders and follow up on deliveries
• Perform special projects as needed
• Resolve clients calls and email queries related to P2P scope
• Handle Reports

Required Technical and Professional Expertise

• Minimum 0-3 years’ experience in Supply or Operations Management
• Prior experience with working effectively across different teams, processes and technologies to attain desired business, operational and compliance results.
• Good written English with e-mail etiquette.

Preferred Technical and Professional Expertise

• College Degree or equivalent work experience required—preferably in Business, Finance, Legal, Engineering, Supply Chain Management and/or related field

The IBM Finance organization is responsible for driving enterprise performance and transformation. We are the financial stewards of IBM, delivering IBM’s financial strategy, developing new business models, and mitigating enterprise risk. Do you have a passion for creating business value? Join our team in accounting, financial planning, pricing, business controls, tax, treasury, business development (acquisitions & divestitures), and global financing.

Are you craving to learn more? Prepared to solve some of the world’s most unique challenges? And ready to shape the future for millions of people? If so, then it’s time to join us, express your individuality, unleash your curiosity and discover new possibilities.

Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change – to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.

It’s time to define your career.

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.

For additional information about location requirements, please discuss with the recruiter following submission of your application.

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Software EngineerArtificial Intelligence & Machine Learning

Job Profile

Responsibilities

· Researches, develops and maintains machine learning and statistical models for business requirements

· Partners with lines of business to translate business analytic problems into technical solutions and actionable recommendations across the organization

· Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem

· Build frameworks leveraging APIs to industrialize AI models across the organization

· Coordinate with different functional teams to monitor outcomes and refine/ improve the machine learning models

· Build frameworks leveraging APIs to industrialize AI models across the organization

· Collaborate with data and software engineers to enable deployment of models that will scale across the company’s ecosystem

· Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)

Requirements and Skills

· You should have Bachelor’s or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field

· You should have 4 to 5 years of experience in solving real life complex business problems using machine learning. Having experience in taking at least on machine learning solution to production is required.

· In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models

· Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable

· Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus

· Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc.

· Fluency in programming skills such as Python, R, or other equivalent languages

· Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable

· Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus

· Strong analytical and critical thinking skills

· Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners

About Us

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Qualifications

Software EngineerArtificial Intelligence & Machine Learning

Job Profile

Responsibilities

· Researches, develops and maintains machine learning and statistical models for business requirements

· Partners with lines of business to translate business analytic problems into technical solutions and actionable recommendations across the organization

· Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem

· Build frameworks leveraging APIs to industrialize AI models across the organization

· Coordinate with different functional teams to monitor outcomes and refine/ improve the machine learning models

· Build frameworks leveraging APIs to industrialize AI models across the organization

· Collaborate with data and software engineers to enable deployment of models that will scale across the company’s ecosystem

· Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)

Requirements and Skills

· You should have Bachelor’s or Master’s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field

· You should have 4 to 5 years of experience in solving real life complex business problems using machine learning. Having experience in taking at least on machine learning solution to production is required.

· In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models

· Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable

· Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus

· Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, Tensorflow, Pandas, SparkML etc.

· Fluency in programming skills such as Python, R, or other equivalent languages

· Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable

· Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus

· Strong analytical and critical thinking skills

· Effective communication skills (written and verbal) to properly articulate complicated statistical models/ reports to management and other IT development partners

About Us

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.

Primary Location

: IN-Karnataka-Bangalore

Schedule

: Full-time

Unposting Date

: Ongoing

Your Role and Responsibilities

• Mentor or coach for scrum teams
• Expert into Agile Scrum principals, Task meeting/Retrospective
• Proven in Relative estimation, Story-based development
• Proficient in leading Iteration/sprint planning meeting, Conflict Resolution
• Strong into Business Analysis planning and monitoring, Enterprise Analysis, Requirement management and communication
• Provide objective guidance without personal or political considerations
• Experienced in implementing agile techniques in different cultures and environments
• Focus on people and Improvement by providing team a platform for improving not only during the retro but all the time. Create a safe environment for healthy conflict and meaningful collaboration.
• Experience to provide training to the team on the agile methodologies
• Implement the winning strategy according as per the ground conditions.
• Agile processes in each sprint at user story level as per the Definition of Done (DoD).
• Successfully run agile projects of varying size and complexity
• Identify project risks and raise them dedicatedly
• Agile process during the project execution; (on the ground to answer all the questions immediately).

Required Technical and Professional Expertise

• Hadoop, Hive, Spark / PySpark, SQL, Oozie
• Data Modelling in Hive
• Programming Languages: Java / Python / Scala
• Should have done micro / macro designing
• Familiar with Unix Commands and basic work experience in Unix Shell Scripting
• Data Modeling SQL Scripting (Teradata), BDW Data modelling
• Excellent communication skills
• Excellent client facing skills

Preferred Technical and Professional Expertise

NA

IBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world’s economy. IBM Services partners with the world’s leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.

Are you craving to learn more? Prepared to solve some of the world’s most unique challenges? And ready to shape the future for millions of people? If so, then it’s time to join us, express your individuality, unleash your curiosity and discover new possibilities.

Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change – to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.

It’s time to define your career.

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.

For additional information about location requirements, please discuss with the recruiter following submission of your application.

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.