SAP Ariba Upstream/Downstream

Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

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Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

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Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

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Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

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Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

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Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.

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Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

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Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

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Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

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Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

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Mandatory (Age) - Candidate's Age should be below 37 years.

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Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

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Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

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Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

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Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Position Title: Data Scientist

Employment Type: Full-Time

Experience: 3-4 years

Preferred: Male Candidate

Interview Mode: F2F Interview

Working Days: 6 days a week (2nd and 4th Saturday half day and 1st and 3rd Saturday full day)

Job Description

We are seeking a skilled and analytical Data Scientist to join our Team. The ideal candidate will be responsible for analyzing large and complex datasets, developing predictive models, and implementing machine learning algorithms to enhance banking products and business decision-making.

The role involves designing intelligent solutions for fraud detection, automated credit scoring, customer analytics, recommendation systems, and other AI-driven financial applications.

Key Responsibilities

·        Develop, train, and optimize machine learning models for predictive analytics.

·        Perform data mining, statistical analysis, and exploratory data analysis on structured and unstructured datasets.

·        Build scalable AI and machine learning solutions for banking and financial applications.

·        Design and implement fraud detection, credit scoring, and recommendation systems.

·        Collect, process, clean, and validate data to ensure quality and accuracy.

·        Integrate internal and external data sources to improve analytical capabilities.

·        Create automated anomaly detection systems and continuously monitor their performance.

·        Design algorithms to solve business challenges in the banking and financial services domain.

·        Present analytical findings and business insights through reports and dashboards.

·        Collaborate with software developers, business analysts, and product teams to integrate AI solutions into BankSoft products.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
• 3–4 years of experience in Data Science or Machine Learning.
• Strong knowledge of machine learning algorithms such as:
• Decision Trees & Random Forests
• Support Vector Machines (SVM)
• Naïve Bayes
• K-Nearest Neighbors (K-NN)
• Clustering and Classification techniques
• Proficiency in Python and data science libraries such as:
• NumPy
• Pandas
• Scikit-learn
• TensorFlow or PyTorch (preferred)
• Experience with SQL and relational databases.
• Knowledge of NoSQL databases such as MongoDB or Cassandra.
• Strong understanding of statistics, regression analysis, probability distributions, and hypothesis testing.
• Experience with data visualization tools such as Power BI, Tableau, Microsoft SSRS, or Matplotlib.
• Knowledge of AI concepts including predictive analytics and recommendation engines.
• Good programming and scripting skills.
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.

Preferred Skills

• Experience in Banking, Financial Services, or FinTech.
• Knowledge of credit risk modelling, fraud analytics, or customer behaviour analysis.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is an added advantage.
• Understanding of MLOps and model deployment is desirable.

Executive - Sales Documentation

ITCO INDUSTRIES LIMITED

Job Description

Job Title: Executive - Sales Documentation

Department: Sales & Marketing

Reports To: Assistant Manager - Sales / Sales Manager

Location: Hosur

Experience Range: 2-5 Years

Position Type: Full-time

Travel: NA

Job Summary:

A team member in sales execution process responsible for preparing Export / Sales documentation along with ISO Documentation. Would be responsible for customer order follow-up and co-ordination with dispatch team.

Qualifications:

Bachelor’s degree in Business Administration, Sales, Marketing, or a related field.

Any additional certifications or coursework in sales is an advantage.

Skills:

• Minimum 3-5 years experience in Export documentation/Sales admin work

• Good communication skill (Both written & verbal)

• Good experience with MS Office & email communication

• Female candidates are preferred

Key Responsibilities:

• Export / Sales Documentation

• Post-sales documentation handling

• ISO Documentation

• Co-ordination with Dispatch Team

Compensation & Benefits:

As per Industry Norms

EPF, Health Insurance, etc.

Working Conditions:

• Full-time position, typically working regular business hours, but flexibility may be required during peak times or for client meetings.

• Regular interaction with the sales team, marketing, production, and logistics teams.

Other Benefits:

Additional perks such as bonuses, professional development opportunities, etc.

• Pega Certified Lead with hands-on understanding of Pega Build, Design, Architecture

• Innovative zest for creating Intellectual Properties, Accelerators and solutions which can impact business value on Applications.

• Thorough understanding of current and future technology trends and ability to leverage them with minimum interventions and creating cost-effective value propositions with winning themes to make definite GTM impact.

• Participate in short-term consulting engagements and pre-sales assessments/workshops

• Collaborates with sales, delivery, technical and vertical teams to ensure proposed deals include technical solutions, winning themes that accurately address customer needs

About Us:

We’re a team of finance and technology enthusiasts who enjoy revolutionizing the investment industry through digital products & services. We’re building the next generation investment management platform for our financial professional customers so they can build better investment portfolios & help their clients retire in style.

If you're looking for challenging work, smart colleagues, and a global employer with a social conscience, come explore your potential at Invesco. Make a difference every day!

Responsibilities:

• Design, develop, test, deploy and maintain highly performant api-driven web applications on our stack (Angular, React, SASS, Java SpringBoot, Mulesoft).
• Design and implement REST APIs to industry/company standards
• Work with our amazing product design team to develop and iterate on user interfaces that bring simplicity to complicated financial data.
• Interact with engineering members across the organization to ensure consistency in engineering practices and foster active exchange of ideas
• We have development centers in Atlanta, Houston, New York City and India and the ability to collaborate across a global organization is a key skill.
• Perform peer code reviews. Review performance, security and flexibility of the code.
• Participating in agile ceremonies (e.g. daily standup, release and sprint planning, demos, scrum of scrums).
• Work with Architect to define technical roadmaps
• Participate and help to evangelist and promote enterprise solutions with business and technology partners

The Experience You Bring:

• 2+ years experienced in front-end frameworks, such as Angular and React
• 3+ years experience in back-end technologies, such as Node.JS, ExpressJS, or Java Springboot
• 1+ years experience with Mulesoft or API development
• Experience with core AWS services
• Experience working in an Agile team and environment
• Familiarity with software engineering support systems and tools, such as Git, Jenkins, Bamboo, Gulp, Bower, Maven, Log4j
• Familiar with SSO solutions, such as SAML, OAuth, OpenID a plus
• Knowledge of the Financial Services industry a plus
• Good to have:
• Experience with DevOps tools like Docker, Kubernetes, Jenkins, etc.
• Experience in developing microservices-based architectures
• Knowledge of frontend technologies like HTML, CSS, and JavaScript
• Experience with Python technologies

• 1-9 years of overall working experience in the software environment.
• Minimum 3 years of experience in Agile Software Development.
• NET technologies - .NET 5, .NET Core, C#, Web API, Angular, Typescript, Azure and MS SQL.
• Coding and designing skills.
• Knowledge of database, SQL Queries, procedures & functions is must.
• Good knowledge of cloud concepts and CI/CD.
• Ability to assimilate technical and functional solutions.
• Ability to do code review and deliver quality.
• Knowledge of unit testing with mock.
• Cloud experience.
• Experience using TFS/GIT source control.
• Containerization (Docker) plus orchestration (Kubernetes or OpenShift) are good to have.
• Good written and spoken English.
• Excellent service & industry leading solutions development.