SEO & Organic Growth Specialist

Job Description:

We are seeking a talented Machine Learning Engineer with expertise in software engineering to join our team. As a Machine Learning Engineer, your primary responsibility will be to develop machine learning (ML) solutions that focus on technology process improvements. Specifically, you will be working on projects involving ML & Generative AI solutions for Technology & Data Management Efficiencies such as optimal cloud computing, knowledge bots, Software Code Assistants, Automatic Data Management etc

Responsibilities:

- Collaborate with cross-functional teams to identify opportunities for technology process improvements that can be solved using machine learning and generative AI.

- Define and build innovate ML and Generative AI systems such as AI Assistants for varied SDLC tasks, and improve Data & Infrastructure management etc. 

- Design and develop ML Engineering Solutions, generative AI Applications & Fine-Tuning Large Language Models (LLMs) for above ensuring scalability, efficiency, and maintainability of such solutions.

- Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.

- Stay abreast of the latest advancements in the field of Generative AI and actively contribute to the research and development of new ML & Generative AI Solutions.

Requirements:

- A Master's or Ph.D. degree in Computer Science, Statistics, Data Science, or a related field.

- Proven experience working as a Software Engineer, with a focus on ML Engineering and exposure to Generative AI Applications such as chatGPT.

- Strong proficiency in programming languages such as Java, Scala, Python, Google Cloud, Biq Query, Hadoop & Spark etc

- Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.

- Familiarity with large language models (LLMs), prompt engineering techniques, vector DB's, embedding & various fine-tuning techniques.

- Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.

- Proven ability to adapt and learn new technologies and frameworks quickly.

- A proactive mindset with a passion for continuous learning and research in the field of Generative AI.

If you are a skilled and innovative Data Scientist with a passion for Generative AI, and have a desire to contribute to technology process improvements, we would love to hear from you. Join our team and help shape the future of our AI Driven Technology Solutions.

The role is with a Fintech Credit Card company based in Pune within the Decision Science team. (OneCard )

About

Credit cards haven't changed much for over half a century so our team of seasoned bankers, technologists, and designers set out to redefine the credit card for you - the consumer. The result is OneCard - a credit card reimagined for the mobile generation. OneCard is India's best metal credit card built with full-stack tech. It is backed by the principles of simplicity, transparency, and giving back control to the user.

The Engineering Challenge

“Re-imaging credit and payments from First Principles”

Payments is an interesting engineering challenge in itself with requirements of low latency, transactional guarantees, security, and high scalability. When we add credit and engagement into the mix, the challenge becomes even more interesting with underwriting and recommendation algorithms working on large data sets. We have eliminated the current call center, sales agent, and SMS-based processes with a mobile app that puts the customers in complete control. To stay agile, the entire stack is built on the cloud with modern technologies.

Purpose of Role :

- Develop and implement the collection analytics and strategy function for the credit cards. Use analysis and customer insights to develop optimum strategy.

CANDIDATE PROFILE :

- Successful candidates will have in-depth knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques. They will be an adept communicator with good interpersonal skills to work with senior stake holders in India to grow revenue primarily through identifying / delivering / creating new, profitable analytics solutions.

We are looking for someone who:

- Proven track record in collection and risk analytics preferably in Indian BFSI industry. This is a must.

- Identify & deliver appropriate analytics solutions

- Experienced in Analytics team management

Essential Duties and Responsibilities :

- Responsible for delivering high quality analytical and value added services

- Responsible for automating insights and proactive actions on them to mitigate collection Risk.

- Work closely with the internal team members to deliver the solution

- Engage Business/Technical Consultants and delivery teams appropriately so that there is a shared understanding and agreement as to deliver proposed solution

- Use analysis and customer insights to develop value propositions for customers

- Maintain and enhance the suite of suitable analytics products.

- Actively seek to share knowledge within the team

- Share findings with peers from other teams and management where required

- Actively contribute to setting best practice processes.

Knowledge, Experience and Qualifications :

Knowledge :

- Good understanding of collection analytics preferably in Retail lending industry.

- Knowledge of statistical modelling/data analysis tools (Python, R etc.), techniques and market trends

- Knowledge of different modelling frameworks like Linear Regression, Logistic Regression, Multiple Regression, LOGIT, PROBIT, time- series modelling, CHAID, CART etc.

- Knowledge of Machine learning & AI algorithms such as Gradient Boost, KNN, etc.

- Understanding of decisioning and portfolio management in banking and financial services would be added advantage

- Understanding of credit bureau would be an added advantage

Experience :

- 4 to 8 years of work experience in core analytics function of a large bank / consulting firm.

- Experience on working on Collection analytics is must

- Experience on handling large data volumes using data analysis tools and generating good data insights

- Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to technical and non-technical audiences

- Excellent communication, presentation and writing skills Strong interpersonal skills

- Motivated to meet and exceed stretch targets

- Ability to make the right judgments in the face of complexity and uncertainty

- Excellent relationship and networking skills across our different business and geographies

Qualifications :

- Masters degree in Statistics, Mathematics, Economics, Business Management or Engineering from a reputed college

SAP Hybris core, Implementation, SAP Hybris Cloud version

Experience

:

8 to 12 Years

Location

:

Bangalore, Karnataka, India

Job Description

:

Project Details]:

• D2C Ecommerce platform of EU, built on SAP Hybris technology.

[Technology and Sub-technology]

• SAP Hybris
• Spartacus.

[Base Location]:

• Bangalore

[Type]:

• Hybrid

[Qualifications]

• Graduate Engineer

[Job Overview]:

• Hybris platform lead to take care of the D2C ecommerce business in Sony Europe region.
• Lead to take care of EU country roll-out planning & execution
• Lead to take care of EU country D2C enhancements
• Lead to support in building Hybris capability for future engagement

[Primary Skills]:

• SAP hybris CCV2
• Angular2, CSS, HTML

[Good to have Skills]:

OCC web services/RESTFUL API developments

We are seeking a talented QA automation engineer to design testing procedures for our software applications. In this role, will be responsible for analyzing the functionality of applications and designing automated tests to validate their performance. You will also be required to identify bugs, install databases, and collaborate with the software design team.

To ensure success as a QA automation engineer, you should have advanced programming skills, a keen eye for detail, and excellent project management skills. A skilled QA automation engineer can design and write efficient test procedures for every software application.

QA Automation Engineer Responsibilities:

• Meeting with the software design team to discuss verification protocols.
• Identifying software application weaknesses and target areas.
• Sketching out ideas for automated software test procedures.
• Reviewing software bug reports and highlighting problem areas.
• Writing automation scripts and implementing software applications.
• Designing and installing software databases.
• Troubleshooting automation software and finalizing system procedures.
• Identifying quality issues and creating test reports.
• Collaborating with the design team to solve application faults.

QA Automation Engineer Requirements:

• Bachelor’s degree in computer science, software engineering, or a similar field.
• Previous experience working as a QA automation engineer.
• Advanced programming skills including automation systems and databases.
• Must have worked on Selenium,Cucumber,Maven
• Familiarity with programming script languages including Java and VBScript.
• Excellent analytical skills.
• Detailed knowledge of application functions, bug fixing, and testing protocols.
• Good written and verbal communication skills.
• Strong attention to detail.
• Good project management skills.

ROLE REQUIREMENTS :

- Good knowledge of Teamcenter Data Model & BMIDE configuration

- Strong experience in Configuration and Administration of one or many Teamcenter modules like Access Manager, Organization, Query Builder, Workflow Designer, Structure Manager, Change Management, Preferences, Stylesheets and Classification

- Configuring CAD Managers

- Experience in SAP/ERP Integration using T4S or T4EA configuration experience preferred

- Import/Export Administration (Like PLMXML) preferred

- Good knowledge of Teamcenter & AWC Architecture. Hands-on installation experience on 4 tier, AWC & Dispatcher preferred

- Configure & Build solutions on Teamcenter to meet business process and customer requirements.

- Responsible for delivery of technical solution that spans Teamcenter and integrations with Teamcenter.

- Good understanding of Product Life Cycle Management concepts and their application in the area of Mechanical Design, Manufacturing process management, Bill of Materials, Document Management, Product change/configuration management and collaborative product development

- Experience of performing deployment in non-production & production environments preferred

- Able to prepare deployment & user document

- Provide training on Teamcenter to users

- Good Communication

- Strong Analytical capability

- Team Player

- Should be able to mentor Juniors