Data Architect

• Expert software implementation and automated testing
• Promoting development standards, code reviews, mentoring, knowledge sharing
• Improving our Agile methodology maturity
• Product and feature design, scrum story writing
• Build, release, and deployment automation
• Product support & troubleshooting

Who we have in mind: 

• Demonstrated experience as a Java
• Should have a deep understanding of Enterprise/Distributed Architecture patterns and should be able to demonstrate the relevant usage of the same
• Turn high-level project requirements into application-level architecture and collaborate with the team members to implement the solution
• Strong experience and knowledge in Spring boot framework and microservice architecture
• Experience in working with Apache Spark
• Solid demonstrated object-oriented software development experience with Java, SQL, Maven, relational/NoSQL databases and testing frameworks 
• Strong working experience with developing RESTful services
• Should have experience working on Application frameworks such as Spring, Spring Boot, AOP
• Exposure to tools – Jira, Bamboo, Git, Confluence would be an added advantage
• Excellent grasp of the current technology landscape, trends and emerging technologies

Job Description – Sr. Data Scientist

Credgenics is India’s first of it's kind NPA resolution platform backed by credible investors including Accel Partners and Titan Capital. We work with financial institutions, Banks, NBFCs & Digital lending firms to improve their collections efficiency using technology, automation intelligence and optimal legal routes in order to facilitate the resolution of stressed assets. With all major banks and NBFCs as our clients, our SaaS based collections platform helps them efficiently improve their NPA, geographic reach and customer experience.

About the Role:

We are looking for a highly-skilled, experienced, and passionate Sr. Data Scientist who can come on-board and help create and build a robust, scalable, and extendable platform to power the mission to reduce the exponentially growing Non Performing Assets in the Indian Economy by harnessing the power of technology and data driven analytics. Our focus is to provide deep insights that improve collection efficiency across delinquent portfolios of ARCs, Banks & NBFCs.

The ideal candidate would be someone who has worked in a data science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, have built platforms from scratch and have a track record of developing and deploying data-science models into live applications.

Responsibilities:

• Work with the CTO to build the roadmap of data science function and set up the best practices
• Collaborate with and influence leadership to ensure data science directly impacts strategy
• Drive an organizational effort toward a better understanding of user needs and pain points, and propose solutions that data science can provide to further this goal
• Build and deploy Machine Learning models in production systems
• Building platforms from scratch to solve image recognition and context understanding problems, and also improving search
• Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
• Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations
• Develop comprehensive knowledge of data structures and metrics, advocating for changes, where needed for product development
• Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information
• Research and develop analysis, forecasting, and optimization methods to improve the product quality
• Build and prototype analysis pipelines iteratively to provide insights at scale
• Building/maintaining of reports, dashboards, and metrics to monitor the performance of our products
• Develop deep partnerships with engineering and product teams to deliver on major cross-functional measurements, testing, and modelling

Requirements and Qualifications:

• Bachelor's or Master's degree in a technology-related field from a premier college
• Prior 5+ years of experience of leading data science team in a start-up environment
• Experience working on unstructured data is a plus
• Deep knowledge of designing, planning, testing, and deploying analytical solutions
• Implementing advanced AI solutions using at least one scripting language (e.g. Python, R) 
• Customer oriented, responsive to changes, and able to multi-task in a fast-paced environment

Location:

This role will be based out of New Delhi

We offer an innovative, fast paced, and entrepreneurial work environment where you’ll be at the centre of leading change by leveraging technology and creating boundless impact in the FinTech ecosystem.

Director - Applied AI

Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.

What do we believe?

• Best practices are overrated

• Implementing best practices can only make one an average .

• Honesty and Transparency

• We believe in naked truth. We do what we tell and tell what we do.

• Client Partnership

• Client - Vendor relationship: No. We partner with clients instead. 
• And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

• Humble: Happy people don’t carry ego around. We listen to understand; not to respond.

• Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.

• Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.

• Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.

• Innovative: Innovate or Die. We love to challenge the status quo.

• Experimental: We encourage curiosity & making mistakes.

• Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

1. To devise strategy through the delivery of sustainable intelligent solutions, strategic customer engagements, and research and development
2. To enable and lead our data and analytics team and develop machine learning and AI paths across strategic programs, solution implementation, and customer relationships
3. To manage existing customers and realize new opportunities and capabilities of growth
4. To collaborate with different stakeholders for delivering automated, high availability and secure solutions
5. To develop talent and skills to create a high performance team that delivers superior products
6. To communicate effectively across the organization to ensure that the team is completely aligned to business objectives
7. To build strong interpersonal relationships with peers and other key stakeholders that will contribute to your team's success

Your bucket of Undertakings :

1. Develop an AI roadmap aligned to client needs and vision
2. Develop a Go-To-Market strategy of AI solutions for customers
3. Build a diverse cross-functional team to identify and prioritize key areas of the business across AI, NLP and other cognitive solutions that will drive significant business benefit
4. Lead AI R&D initiatives to include prototypes and minimum viable products
5. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
6. Build reusable and scalable solutions for use across the customer base
7. Create AI white papers and enable strategic partnerships with industry leaders
8. Align, mentor, and manage, team(s) around strategic initiatives
9. Prototype and demonstrate AI related products and solutions for customers
10. Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems)
11. Lead AI tech challenges and proposals with team members
12. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
13. Identify new business opportunities and prioritize pursuits for AI 

Education & Experience : 

1. Advanced or basic degree (PhD with few years experience, or MS / BS (with many years experience)) in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
2. 10+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
6. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
7. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team

Hi All,

We are hiring Data Engineer for one of our client for Bangalore & Chennai Location.


Strong Knowledge of SCCM, App V, and Intune infrastructure.

Powershell/VBScript/Python,

Windows Installer

Knowledge of Windows 10 registry

Application Repackaging

Application Sequencing with App-v

Deploying and troubleshooting applications, packages, and Task Sequences.

Security patch deployment and remediation

Windows operating system patching and defender updates

Thanks,
Mohan.G