
Key Responsibilities:
Analyze business requirements and translate them into functional specifications for SAP PP, QM, and Variant Configuration.
Configure and customize SAP PP and QM modules, including master data, process orders, quality inspections, notifications, and control plans.
Design and implement Variant Configuration models (using Class, Characteristics, Object Dependencies, and Super BOMs/Routings).
Collaborate with cross-functional teams to support end-to-end production and quality processes.
Provide ongoing support and continuous improvements for SAP PP/QM and VC functionality.
Qualifications:
5+ years of hands-on experience with SAP PP and QM modules.
Proven experience in SAP Variant Configuration (LO-VC).
Strong understanding of manufacturing and quality processes.
Experience with SAP S/4HANA is a plus.

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Role Summary
This role exists to build and maintain the foundation of our digital visibility.
Not campaigns. Not gimmicks. Fundamentals done right, every day. You will work closely with the content and strategy team and take ownership of execution across SEO, AEO, on page, off page, and technical hygiene. This is a hands on role for someone who wants to grow into a strong SEO and growth professional. If you are looking only for posting blogs and checking rankings, this role is not for you.
Key Responsibilities
SEO Execution and Optimization
• Perform keyword research for blogs, landing pages, and feature pages
• Optimize on page elements including titles, meta descriptions, headers, internal links, and schema
• Maintain SEO hygiene across existing and new pages
• Identify cannibalization, thin content, and indexing issues
AEO and AI Search Readiness
• Optimize content for AI driven search and answer engines
• Assist in building FAQ structures, glossary pages, and entity focused content
• Support schema implementation for FAQs, How-To, Product and Article pages
• Ensure content is structured for clear extraction by AI assistants
Technical SEO Support
• Monitor crawlability, indexing, Core Web Vitals, and site health
• Identify technical issues related to page speed, redirects, broken links, sitemap, robots.txt
• Coordinate fixes with developers and track resolution
• Use tools to audit and report technical issues regularly
Off Page SEO
• Assist in link building through ethical, white hat methods
• Track backlinks, referring domains, and anchor distribution
• Identify toxic links and support disavow processes
• Support digital PR and content led backlink initiatives
Automation and Tooling
• Use SEO and marketing automation tools to improve efficiency
• Work with AI tools for keyword clustering, content briefs, SERP analysis, and audits
• Assist in setting up workflows for recurring SEO tasks
• Maintain reports and dashboards for performance tracking
Reporting and Analysis
• Track rankings, traffic, impressions, clicks, and conversions
• Prepare weekly and monthly SEO performance reports
• Highlight issues clearly, not just numbers
• Share insights, not vanity metrics
Required Skills and Experience
• Minimum 1 year of hands on experience in SEO or digital marketing
• Strong understanding of on page and technical SEO fundamentals
• Working knowledge of Google Search Console and Google Analytics
• Experience with SEO tools such as Ahrefs, SEMrush, Screaming Frog, or similar
• Basic understanding of HTML, schema, and page structure
• Familiarity with AI tools used for SEO or content research
• Ability to execute instructions accurately and consistently
Nice to Have
• Exposure to AEO or AI search optimization
• Experience working with SaaS or ecommerce websites
• Basic understanding of page speed and Core Web Vitals
• Experience with CMS platforms
• Curiosity about how AI is changing search behavior
· A thoroughly experienced OMS resource with preference to Blue Yonder OMS and good exposure in building custom microservices as extension points to OMS possessing good cloud knowledge.
· Extensive backend development knowledge with core Java/J2EE and Microservice based event driven architecture with a cloud based architecture (preferably AWS)
· Should be cognizant of key integrations undertaken in eCommerce and associated downstream subsystems which should include but not limited to different Search frameworks, Payment gateways, Product Lifecycle Management Systems, Loyalty platforms, Recommendation engines, Promotion frameworks etc.
· Recommend someone having a good knowledge of integrations with downstream eCommerce systems like OMS, Store Systems, ERP etc.
· Any additional knowledge on OMS and Store domains will be additional advantage.
· Experience in Service Oriented Architecture - Developing/securely exposing/consuming Web Services – RESTful and integrating headless applications.
· Should be able to understand system end-end, maintain application and troubleshoot issues.
· Good understanding of Data Structures and Entity models.
· Should have understanding of building, deploying and maintaining server based as well as serverless applications on cloud, preferably AWS.
· Expertise in integrating synchronously and asynchronously with third party web services.
· Good to have concrete knowledge of AWS Lambda functions, API Gateway, AWS.
· CloudWatch, SQS, SNS, Event bridge, Kinesis, Secret Manager, S3 storage, server architectural models etc.
· Knowledge on any major eCommerce / OMS platforms will have added advantage.
· Must have a working knowledge of Production Application Support.
· Good knowledge of Agile methodology, CI/CD pipelines, code repo and branching strategies preferably with GitHub or Bitbucket.
· Good knowledge of observability tools like NewRelic , DataDog, Graphana, Splunk etc. with knowledge on configuring new reports, proactive alert settings, monitoring KPIs etc.
· Should have a fairly good understanding of L3 support processes, roles and responsibilities.
· Should work closely with counterparts in L1/L2 teams to monitor, analyze and expedite issue resolutions, reduce stereoptypes, automate SoPs or find avenues for the same by being proactive.
Should be flexible to work with overlap with some part of onsite (PST) hours as part of various client meetings and hand offs with Alo client leadership team
Position: Frontend Engg (Angular)
Exp Level: 2-4 years
Key Responsibilities
• Develop, test, debug and document new and existing components to ensure that our software meets business, quality and operational needs.
• Focus on scalability, speed, cross-browser compatibility, security, and availability of all applications and processes.
• Collaborate with peer organizations, devops, support organizations on technical issues and provide guidance.
• Work with a team to troubleshoot code level problems quickly and efficiently.
Required Skills:
• 2-4 years of professional software engineering experience in Angular
• Detail oriented and conscientious in implementing designs you have signed off on
• Self-motivator with strong communication skills
• Degree in computer science or a related field is preferred, but not required
• Designing and developing user interfaces using Angular best practices.
• Thorough knowledge of Angular modules, components, services, routing, web pack, material, flex box.
• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
• Good to have - Experience with Agile methodologies
• Integrating front end UI with constructed APIs.
• Experience with NgRx and Rxjs for state management and reactive programming.
• Familiarity with tools like GitHub and Azure.
Roles & Responsibilities:
- Manage multiple software development projects simultaneously.
- Define project scope, goals and deliverables.
- Plan and schedule project timelines.
- Coordinate internal resources and third parties/vendors.
- Measure project performance and report to management.
- Identify and manage project risks.
- Ensure resource availability and allocation.
- Ensure adherence to project delivery schedules.
• Knowledge of print media is a must.
• Knowledge of designing software, Proficient in Adobe Creative Suite (Adobe Illustrator,
Photoshop,
- Strong experience in core Java programming.
- Good experience in Spring and Hibernate
- Proficiency with JSF/third party JSF components framework
- Must have at least 2+ years exp. of Web application development with exp. in using any MVC framework
- Knowledge of OOP concepts, industry best practices, and design
- Professional, precise communication skills
- Work experience writing Unit tests
- Good understanding of web technology and enterprise-level applications
- Work experience in applying the best practices of Web Application development
- Working experience in an Agile team especially with SCRUM
- Good to have experience in JavaScript frameworks
- Good to have experience in JSON, HTML5, CSS and XML
Following Skills will be an added advantage
- Working experience of Prime-Faces
- Knowledge of Spring Web Flow
Behavioral Skill
- Should be self-motivated and a quick learner with a problem-solving mind-set
- Attention to detail and follow-through to achieve good quality and meet deadlines.
- Ability to work effectively in a team as well as in an individual environment
- Should have excellent written and verbal communication skills
Job Description
Lead Machine Learning (ML)/
NLP Engineer
5 + years of experience
About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
Frost and Sullivan’s Product Innovation Award for Market and
Competitive Intelligence Platforms.
The role
We are looking for a hardworking, aspirational, and innovative
engineering person for the Lead ML/ NLP Engineer position. You’ll build
Contify’s ML and NLP capabilities and help us extract value from
unstructured data. Using advanced NLP, ML, and text analytics, you will
develop applications that will extract business insights by analyzing a
large amount of unstructured text information, identifying patterns, and
by connecting the events.
Responsibilities:
You will be responsible for all the processes from data collection, and
pre-processing, to training models and deploying them to production.
➔ Understand the business objectives; design and deploy scalable
ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
➔ Defining and supervising the data collection process, verifying data
quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
them
➔ Research and implement the right algorithms and tools for ML/
NLP tasks
➔ Collaborate with engineering and product development teams
➔ Represent Contify in external ML industry events and publish
thought leadership articles
Desired Skills and Experience
To succeed in this role, you should possess outstanding skills in
statistical analysis, machine learning methods, and text representation
techniques.
➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
classification algorithms
➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs)
and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ Language models like Bert, GPT, RoBERTa, XLNet
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
◆ Classification algorithms like LinearSVC, SVM, LR
◆ XGB, MultinomialNB, etc.
◆ Other Algos- PCA, Clustering methods, etc
➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
model selection & ensemble methods, performance metrics &
visualization
➔ Evaluation Metrics- Root Mean Squared Error, Confusion Matrix, F
Score, AUC – ROC, etc
➔ Understanding of knowledge graph will be a plus
Qualifications
➔ Education: Bachelors or Masters in Computer Science,
Mathematics, Computational Linguistics or similar field
➔ At least 4 years' experience building Machine Learning & NLP
solutions over open-source platforms such as SciKit-Learn,
Tensorflow, SparkML, etc
➔ At least 2 years' experience in designing and developing
enterprise-scale NLP solutions in one or more of: Named Entity
Recognition, Document Classification, Feature Extraction, Triplet
Extraction, Clustering, Summarization, Topic Modelling, Dialog
Systems, Sentiment Analysis
➔ Self-starter who can see the big picture, and prioritize your work to
make the largest impact on the business’ and customer’s vision
and requirements
➔ Being a committer or a contributor to an open-source project is a
plus
Note
Contify is a people-oriented company. Emotional intelligence, therefore,
is a must. You should enjoy working in a team environment, supporting
your teammates in pursuit of our common goals, and working with your
colleagues to drive customer value. You strive to not only improve
yourself, but also those around you.
Location: MBFC / Command Center, Changi Business Park, Singapore
Duration: 12 Months Renewable Contract
Description
- We are looking for highly motivated and experienced individuals to join our client as Application/Production Support Analyst supporting banking systems and applications.
Mandatory Skill(s)
- Degree in Computer Science, Business Information Technology or related disciplines;
- 3-5 years of experience providing support to business systems and applications in banking or financial service sectors;
- Possesses good knowledge on Site Reliability Engineering best practices and experience adhering to Site Reliability Engineering guidelines in the work;
- Able to troubleshoot and provide solutions for technical issues and routes to appropriate escalation groups;
- Good analytical skills with excellent communication;
- Good in understanding internal processes and resolving issues;
- Should have keen interest in providing high service quality and familiar with the demand of a 24×7 support environment.
Desirable Skill(s)
- Prior experience in the banking industry;
- Experience in application implementation projects in financial institutions would be a great advantage.
Responsibilities
- Perform work in rotational shifts to provide 24/7 on-site or on-call support;
- Responsible for health-check, continuous L1 and L2 support and rectification for mission critical Web-based applications;
- Responsible for the day-to-day maintenance of the application systems in operation;
- Handle Incident and Problem management;
- Work closely with key stakeholders, including management, development teams, end users, and unit leaders and communicate application problems and issues;
- Provide root cause analysis techniques to determine cause and resolve complex system issues or escalate to application managers and the management team;
- Involve with onsite and offshore teams across multiple technologies/applications;
- Lead formal and informal Post Event Problem Reviews;
- Actively involved in Continuous improvement of the system such as removal of TOIL, job automation, performance, tuning;
- Proactive management of production services by measuring and monitoring availability, latency, throughput, user journeys and overall system health.
Good hands on experience in US & UK Market
good hands on experience in software solution sales
good Communication must
- Participate in requirement analysis
- Write clean, scalable code using .NET
- Test and Deploy applications and systems
SKILLS:
- Must have good command on c#
- Should have knowledge on the official ASP.NET, ANGULAR JS and MVC









