We are looking for an HR Generalist to manage our company’s recruiting, learning and development and employee performance programs.
HR Generalist responsibilities include creating referral programs, updating HR policies and overseeing our hiring processes. To be successful in this role, you should have an extensive background in Human Resources departments.
Title: HR Generalist
Location: Chennai
Experience: 2 - 5 Years
What will you work on?
- Oversee daily operations of the HR department
- Plan and execute team building and employee engagement activities
- Plan and execute Annual company trip (Budget, Location, Travel, Stay, Food, Activities etc)
- Vendor Management - Working with our vendor partners for travel, laptops, mobiles, gifts and goodies, food, accommodation etc
- Design compensation and benefits packages
- Implement performance review procedures (e.g. quarterly/annual and 360° evaluations)
- Develop fair HR policies and ensure employees understand and comply with them
- Implement effective sourcing, screening and interviewing techniques
- Assess training needs and coordinate learning and development initiatives for all employees
- Plan and Monitor HR department’s budget
- Manage employees’ grievances
- Handling payroll processing on monthly basis
- Conduct exit interviews to identify reasons for employee’s termination
Do you fit in?
- Proven work experience as an HR Executive, HR Manager or similar role
- Familiarity with Zoho, Google Sheets or similar HRMS and ATS
- Experience with end to end recruiting
- Demonstrable leadership abilities
- Solid communication skills
What can you expect?
- Flexible work timings
- Better than market compensation
- Supercharged Learning Culture
- Rapid career growth
- Work with interesting and fun colleagues
- Learn from the best in the industry
About F22Labs Global
We’re Hiring Humans, not Ninjas 😇
Disclaimer: Only for serious folks. Work that challenges, excites, scares you and lets you go to bed satisfied!
- Project Manager (5+ Years)
- Product Manager (4+ Years)
- Email Marketer (2+ Years)
- Facebook Ads Marketer (2+ years)
- Frontend Developer Interns (Freshers)
- Backend Developer Interns (Freshers)
- Reactjs Developer (2 years)
- Nodejs Developer (2 years)
- Python Developer (2 years)
- Senior Reactjs Developer (4+ years)
- Senior Nodejs Developer (4+ years)
- Senior Python Developer (4+ years)
- Quality Analyst (2+ years) (Manual/automation)
Note: In case you don't see a role that you’d fit in, but would love to be a part of the team at some point, we’d love to stay connected. Send us your details at [email protected]
Who we are:
F22 Labs was started in 2014 by Murtuza and Hari, 2 childhood friends who always dreamt of starting a business of their own. After working at leading startups initially in their careers, they decided to take the plunge.
Over the last 7 years, we’ve been fortunate and blessed to have worked with 250+ entrepreneurs, who have trusted us with their dream of building their startups. Some of them include Hollywood celebrities like BJ Novak and Fortune 500s like Pizza Hut Inc.
Some of our products have gone on to be used, loved and have received investment from Charlie Cheever(Cofounder of Quora), Snoop Dog(does he even need an introduction?), Evan Williams (Cofounder of Twitter) and have been nominated for awards like the Webbys.
F22 Labs has won the Top 10 Software development company awards from highly respected Clutch.co for multiple years.
One cool thing about working at F22 Labs is you can never be bored. We’re working on various products cutting across different industries like: HealthCare, Non Profits, Entertainment, B2B SaaS, Ecommerce, Fashion, Sports, Travel, Fintech, Marketplaces, EdTech, LegalTech, IOT.
We have presented our products at international conventions like WebSummit Lisbon, RiseConf HongKong, Collision Conf New Orleans, Pizza Expo Las Vegas
What we do:
We build beautiful, robust and scalable web and mobile applications for idea stage founders and growth stage startups based out of USA, Canada, Mexico, Middle East, India, Nigeria, South Africa, Singapore etc.
Our Core Values:
- Honesty & Transparency: Speak your mind and do what feels right.
- Empathy: Be kind. Listen Intently. Trust by default.
- Stay Hungry, Stay Foolish: Have childlike curiosity and hunger to learn.
- Hustle Hard: Do more with less.
- Teach, don’t preach: Knowledge grows when shared.
Perks:
- State of the Art gadgets
- Complete Health coverage for you and your family
- Flexible work timings
- Top-notch Healthcare
- Care & Appreciation
- Flexible Schedules
- Supercharged Learning
- TechTalks Sessions
- Amazing Office Indoor Games
- Cool & Fun Working Enviornment
- Accommodation & Meal for Relocation
Our Hiring process:
- A Profile Review: Resume, Portfolios, personal websites, Github, anything else you want to share with us.
- A Technical task that relates to the work you will be doing
- A Final round of interview
- An Offer and onboard you are!
Know more about us @F22Labs:
Home Page
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- Showcasing excellent work ethic and strong sense of ownership of end result
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- Develop system architecture, design and build platform services for scalable, resilient, multi-tenant Cloud SaaS. Examples of work include:
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- Has hands-on experience building multi-tenant SaaS solutions on public clouds (AWS)
- Strong experience with React, NodeJS, Java, GO, Python
- Has expertise with microservices, infrastructure as code (IaC), continuous integration/delivery (CI/CD), etc.
- Has experience working with containerization, cluster orchestration, or infrastructure management frameworks (such as Kubernetes, Docker, Terraform)
- Basic knowledge of AWS security (IAM, Cognito)
- Knowledge of good engineering practices and agile culture
- Takes initiative in a fast-paced environment
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- Experience with Prometheus, Grafana, ELK, Jaeger, etc.
- AWS certification
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Desired Candidate Profile
- Strong proficiency with JavaScript
- Knowledge of Node.js and frameworks available for it {such as Express etc }
- Knowledge of Micro Services Architecture and API Gateway.
- Understanding the nature of asynchronous programming and its quirks and workarounds.
- Good understanding of server-side templating languages {such as PUG, Jade, EJS, etc }
- Good understanding of server-side CSS preprocessors {such as SCSS, SASS, etc }
- Basic understanding of front-end technologies, such as HTML5, CSS3, and DOM manipulation.
- Understanding accessibility and security compliance
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- Integration of multiple data sources and databases into one system
- Understanding fundamental design principles behind a scalable application
- Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
- Creating database schemas that represent and support business processes
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git
- Strong knowledge of Linux operating systems such as Ubuntu, CentOS.
- Basic knowledge of Cloud machines such as Elastic compute.
- Basic knowledge of Cloud Storage such as AWS S3, etc
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If you take pride in your work and desire to leave a mark on the industry do consider joining our specialized team of engineers.
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
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- 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
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- 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