Blockchain content writer

We are seeking a dynamic and detail-oriented HR Recruiter to manage our end-to-end recruitment process. The ideal candidate will have a strong understanding of talent acquisition strategies, excellent interpersonal skills, and the ability to build relationships with both candidates and hiring managers.

Key Responsibilities

• Manage the full recruitment life cycle, from job posting to onboarding.
• Partner with hiring managers to identify staffing needs and develop job descriptions.
• Source potential candidates through online channels (e.g., LinkedIn, job boards, social media).
• Screen resumes, conduct interviews, and assess candidates’ qualifications.
• Coordinate and schedule interviews between candidates and hiring teams.
• Maintain candidate databases and recruitment reports.
• Build a talent pipeline for current and future hiring needs.
• Ensure a positive candidate experience throughout the hiring process.
• Stay updated on industry trends and best recruitment practices.
• Ensure compliance with labor laws and internal policies during recruitment.

To be successful in this role, one must have min. 3 - 7 years of experience in a start-up/product-based software development firm who started his career as a technical recruiter and gradually grew to the stage of handling teams & stakeholders.

Roles & Responsibilities:

• The role is someone needs to contribute 50% IC & 50% team handling.
• Succession Planning & workforce forecast.
• Must ensure the sufficient workforce is available based on business needs at all times.
• Should execute the overall end-end recruitment process with the hiring Manager's & the stakeholder's, must ensure the task is successfully completed either as a Team or IC on a need basis.
• Go-getter person & should be flexible to grow and change in a rapid environment.
• Should be more organized as a team and ready to roll off your sleeves as needed to execute things in different verticals of HR department.

• Min. 3 - 7 years of experience in Technical Recruitment.
• Must have worked in a product based / start-up only are eligible.
• Should have experience in handling Stakeholders & must have exposure in working with Management.
• Should have experience in hiring Tech stacks like Java, Angular, Devops, testing, ABAP and non-tech like PM, BA, Consultants, support, sales etc from Junior to Senior level.
• Expertise in Boolean & X-ray search.
• talented in Headhunting & harvesting.
• Should have handled a team of at least 3 people.
• The right fit is someone who can source quality & qualified sources rather more than quantity.

Job Responsibilities:

• Having a proactive customer support approach
• Testing product features as assigned
• Build & strengthen customer relationships
• Lead scoring and qualification
• Manage incoming chats, emails and handle appropriate follow-up calls and emails
• Address, resolve, and record any customer issues that arise pertaining to business growth, billing, and general account satisfaction
• Demonstrate the value of the platform to our customers every day by providing amazing customer support
• Maintain existing customer success metrics and data as directed

Job Requirements:

• Excellence at Googling stuff and spoken English
• Ability to meet deadlines and decent depth of thought process
• Capable of operating without much supervision while still producing results
• Not being camera shy and great presentation skills
• Motivation to pursue customer success as a career
• Understanding the basics of customer support such as treating customers with respect, empathy, and understanding
• Technical understanding and ability to troubleshoot and resolve technical problems

Note: The applicant should be comfortable with both the timings, Day Shift Timings as well as the US Shift Timings.Shifts will be rotational.

Brownie Points If - You are great at video presentation and love engaging with customers through videos

• Bachelor's degree in Computer Science, Engineering, Operations Research, Math, or related discipline.
• Minimum 2+ years of experience as an Analyst role preferred.
• Highly proficient in Microsoft Office and Windows based applications.
• SQL AND Excel Knowledge and Hands-on experience is a must.
• Demonstrated Analytical ability, results-oriented environment with external customer interaction.
• Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly.
• Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment.

Preferred Qualifications

• Experience with E-Commerce, Retail and Business Analytics would be an advantage.
• Understanding of data warehousing, data modeling concept and building new DW tables
• Advanced SQL skills, fluent in R and/or Python, advanced Microsoft Office skills, particularly Excel and analytical platforms

• A strong sense of ownership
• Exceptional technical skills
• Ability to understand the problem and craft the right solution
• Strong software architecture skills
• Dedicated to completing projects of the highest standards, on time
• Passionate about the work they undertake

QUALIFICATIONS:

To be considered for this position you must possess the following qualifications:

• A minimum of 3.5 years of industry experience
• Previous experience working with a team on a large, complex project
• Excellent communication skills (verbal and written skills in the English language)

SKILLS:

Please find the below mandatory skills required for Senior .Net resources, kindly source accordingly.

• Strong in C#.Net
• MVC (Min 2 Yrs)
• Web API (Min 1 Yr)
• Good in SQL and DB operations
• Should have used latest features of C#.Net

Database:

• Entity Frameworks (LINQ) (Min 1 Yr)
• ADO.Net (SQL)

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering