From day one, Smarsh was built on a set of core values that have motivated and sustained us – People First, Inspire Confidence, and Embrace the Impossible. We ask that each of our employees – whether new or old- ingrain these values in our day-to-day decisions, call on them while serving our customers and our peers and apply them when creating the best possible products, we can imagine.
Smarsh is a global leader in natural language processing, artificial intelligence, and machine learning. Smarsh’s SaaS solutions transforms the risk and compliance industry with the first integrated, AI-powered solution for the retention, oversight, and analysis of electronic communications.
About our culture
Smarsh hires lifelong learners with a passion for innovating with purpose, humility, and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
What You Will Be Doing
As a Total Rewards Analyst you will be responsible for developing, implementing, and administering the entire spectrum of total rewards and not limited to compensation and benefit policies and programs, which support company objectives and local practices. You will also provide HR and leadership with processes and tools that facilitate the administration of equitable quality programs and ensures a competitive market position for the organization. You will be developing and/or participating in compensation/benefit surveys to analyse company’s competitive position. You will be ensuring company compliance with government laws governing both compensation and benefits practices.
Responsibilities
- Support day to day compensation & benefits management and operations in the region to ensure alignment with business goals and a robust Total Rewards framework to attract, motivate, engage, and retain employees
- Overall compensation philosophy design – Building the system to keep pay equitable to market and creation of systems for delivery at scale.
- End to End Support to our rewards cycles (mid-year and year-end) including the review current offerings and plans for enhancements and changes, rollout and communication materials.
- Assist with the compliance and governance of compensation and benefits policies and programs, monitor market trends, identify risks, perform audits, and provide solutions
- Act as the first point of contact for compensation and benefits queries and issues raised by employees, payroll, HR, and vendors including managing invoices.
- Lead compliance and adherence to global and local instructions/policies, and relevant local regulations / legislations.
- Create and maintain the regional compensation and benefits content on the employee portal based on the current programs and policies.
- Conduct routine market research and provide timely compensation analysis and support for new hire offers compensation & benefits packages related to job changes and relocations.
- Can contribute to a collaborative work environment with the goal to improve the delivery of compensation and benefits.
- Demonstrate excellent customer service through using effective communication skills in written and verbal interactions.
- Are comfortable working independently/with minimum supervision and interacting with employees at all levels across the globe
- Manage enrolment data for benefits including reconciliation and coordination with vendors to find solutions and resolve inquiries.
- Work on benefits solutions during M&A Cycles, planning on budgeting and harmonization.
- Partner with global total rewards teams to derive and deliver solutions at scale
Why Smarsh?
Ready to join a thriving tech company that’s redefining digital archiving and business intelligence?
Smarsh is the leading comprehensive archiving platform. Recognized as one of today’s fastest growing companies in the U.S., Smarsh delivers innovative cloud-based solutions that help organizations manage and enforce flexible and secure records retention and compliance strategies for electronic communications, including social media and enterprise social networks (Yammer, Chatter, Facebook, LinkedIn and more).
Our motto is ‘People First. Inspire Confidence. Embrace the Impossible.’ We hire lifelong learners who have a passion for their discipline and a track record of excellence. To learn more about us, visit www.smarsh.com/careers
Shubham Vishwakarma
Full Stack Developer - Averlon
About Smarsh
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Company Description
Nirmitee.io is a pioneering tech company based in Pune, revolutionizing the Healthtech and Fintech industries with smarter and faster solutions. Specializing in product engineering and software development, we empower businesses to scale their vision through cutting-edge technology and innovative solutions. Our focus on resilience, innovation, and digital transformation ensures impactful and lasting results for our partners.
Role Description
This is a full-time on-site role for a Business Development Executive at Nirmitee.io in Pune. The Business Development Executive will be responsible for new business development, lead generation, business communication, and account management on a day-to-day basis.
Required:
- Experience: 2-4 years
- IT sales experience for IT products and services
- Handling overseas clients is required.
- Experience in using Upwork and LinkedIn is a must.
Responsibilities:
- Market Research: Conduct market research to identify potential clients and industries for business development opportunities.
- Lead Generation: Generate leads through various channels such as cold calling, email campaigns, Upwork, Linkedin, and networking events.
- Client Engagement: Build and maintain relationships with prospective clients through effective communication and follow-up to understand their needs and requirements.
- Proposal Preparation: Assist in preparing proposals, presentations, and pitches for potential clients, highlighting the company's products or services.
- Sales Support: Provide support to the sales team in identifying opportunities, preparing sales collateral, and coordinating meetings with clients.
- Pipeline Management: Manage and maintain a pipeline of leads and opportunities, tracking progress and updating CRM systems accordingly.
- Continuous Learning: Stay updated on industry trends, market developments, and competitor activities to identify new business opportunities and improve sales strategies.
Qualifications:
- Bachelor's degree in Business Administration, Marketing, or a related field.
- Strong communication and interpersonal skills.
- Excellent organizational and time management abilities.
- Ability to work independently and as part of a team.
- Proactive attitude with a drive to achieve targets and goals.
.BUSINESS DEVELOPMENT EXCUTIVE
ROLES
We're seeking a qualified sales associate to sell annual car and bike Scotty subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly.
Job Location: Work from home
Selection process: HR Round followed by group discussion and sales manager round.
Qualification: Any Graduate/Post Graduate
Salary offered: As per industry standards
Working days: 6 days Sunday is off
Shifts:10:00am -7:00pm
Mandatory language: English
Laptop/wi-fi: candidates are to use their own laptops,
Additional Compensation: If applicable, this will be decided on the basis of your designation.
Key responsibilities:
1. Creating an inspiring team environment with an open communication culture
2. Setting clear team goals
3. Oversee day-to-day operation
4. Monitor team performance and report
5. Motivate team members
6. Generate sales through customer referrals
7. Review the sales team performance and explore sales improvement initiatives to achieve the sales targets for the project
8. Conduct sales review meetings with the sales team on a periodic basis
9. To recruit good quality prospective sales candidate and ensure that they are completing probation in order to achieve the sales target set by the company
Candidate will work in Sales Department too for generating business of Company by selling Digital Marketing Packages.
Candidate will be working on backend operations on the client's accounts at Amazon, Flipkart and Meesho.
Candidate should have knowledge of Excel Formulas.
Candidate should be an easy learner and needs to be clever enough to understand the backend process easily.
Candidate should be able to write and understand English.
Candidate should be smart enough to grab the training which will be provided here by our Organization.
Candidate should be open to learning whenever the need arises.
Candidate should be soft spoken while speaking to clients.
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Laravel
PHP
CodeIgniterHi
Job Description: Web Developer – Design Qandy
About the Company
Our Client is a luxury home décor brand. It’s nothing less than a revolution in home décor industry- where technology enables world class home interior design.
What would you be required to do?
- Write code and tests, build prototypes, solve issues, profile, and analyze bottlenecks
- Design performance gauging, building robust APIs to support mobile and desktop clients
- Manage and optimize scalable distributed systems on the cloud
- Optimization of web applications for performance and scalability
- Develop automated tests to ensure business needs are met and allow for regression testing
- Participate in the entire application lifecycle, focusing on coding and debugging
- Write clean code to develop functional web applications
- Troubleshoot and debug applications
- Perform UI tests to optimize performance
- Manage cutting-edge technologies to improve legacy applications
- Collaborate with Front-end developers to integrate user-facing elements with server-side logic.
- Gather and address technical and design requirements
- Provide training and support to internal teams
- Build reusable code and libraries for future use
What skills we are looking for?
- Good communication skill to communicate with stakeholders, project managers, quality assurance teams, Regularly and other developers regarding progress on the long-term technology roadmap
- Curious and progressive mind to Create and maintain workflows with teams to provide visibility and to ensure workload balance for consistent visual designs
- Good technical knowledge to Produce quality code, raising the bar for the whole team on quality and speed
- Through analytical skills to Recommend system solutions by comparing advantages and disadvantages of custom development and purchase alternatives
Who qualifies?
- PHP Laravel Framework, PHP Design Patterns.
- Proficient in MySQL, PostgreSQL, MongoDB
- APIs, REST API, SOAP API, API Security, Open APIs
- Push Notifications, Laravel Events, Queue, Observers
- Excellent foundation in computer science, algorithms, and web design
- Experience writing highly secure web applications
- Experience with core AWS web-enabling technologies
- Growth mindset, challenging status quo to find new solutions and out-of-the-box ideas
- Experience designing RESTful APIs, specifically for mobile apps
- Computer science degree or equivalent experience
- Experience leading a team
- 2+ Years’ experience in back-end development.
Regards
Team Merito
Ruby
Ruby on Rails (ROR)Package : upto 10 LPA
Experience: 1-7 years
WFH option available
OPNING: 5
About Company
UK based company with IT-based work in Ahmedabad and seeks to empower IT professionals and
organizations through the latest technologies.We are aproduct aswell asservice-basedindustry.We have
pioneeredin handling projects from the UK related to the healthcare industry in the UK. We follow a
novel tech-led approach and expand our expertise all over the UK and the Middle East.
What are we looking for in a candidate ?
● 4to7yearsof experience alongwiththe same yearsofrelevant experience inRuby onRails.
● Experience supportingand codingwith RESTfulAPI.
● SQL familiarity shouldbe there.
● ExcellentinDATABASE design and queries with postgres.
● Comfort with modern web architecture.
● Technical design and implementation of new features.
● AWS infrastructure experience is a plus
● Knowledge of Squashing bugs.
● Knowledge ofImproving security.
● Experience with Ruby on Rails, along with other common librariessuch asRspec andResque.
● Experienceworkingwithbackgroundand Cron-jobs,sidekiq,resque.
● Project handling and management along with strong communication skills
What will a candidate be doing with us ?
● Design,buildandmaintain efficient,reusable, and reliable Ruby codes.
● Integration of data storage solutions (may include databases, key-value stores, blobstores).
● Integration of user-facing elements developed by front-end developers withserver-sidelogic.
● Identify bottlenecks and bugs, anddevise solutionsto these problems.
● Helpmaintain code quality, organization and automatization.
● Aknack for writing clean,readable Ruby code
Please find the JD Below:
Job title- ATL/Technical Lead
Experience
- Must have experience
- Extensive product development experience
- 5-10 years experience in back end Java Development
- Possess advanced knowledge of object-oriented design and development (OOA/OOD).
- Team task assignment, mentoring and helping resolve issues
- Self-starter, ability to work with minimal supervision.
- Skilled at working collaboratively in a team-oriented environment.
- Excellent problem-solving skills. Curious and adept at researching project-related issues and challenges.
- Excellent debugging skills
- Good to have
- Experience in SOA and microservice deployment model.
- GWT development experience
- Experience of working in an Agile development model
- Mixed experience in different type of organizations - product start up and large enterprises
Other Skills
- Strong Analytical skills
- Acumen for understanding customer's business goals
- Process oriented- Following current processes and partner in process improvement.
- Data oriented- Using data and knowledge base for solving current problem at hand and creating software knowledge base for future use.
- Ability to juggle multiple development and design tasks simultaneously.
We are looking for Senior Backend Engineers to design and build the systems that power our core business of lending and loan processing. As a Senior Backend Engineer you will be expected to contribute significantly to your team. Your work is consistently of high quality. You solve complex problems, applying appropriate technologies, design patterns, and best practices. Your focus is on a major portion of existing or new team software. You work with your team to design and build software that is secure, correct, observable, and resilient. Your solutions are pragmatic. You identify the proper level of complexity for a task and advise your peers and manager on technical approach.
What you’ll do
- Design, implement, and maintain developer-friendly APIs and services
- Contribute to code and architecture reviews to keep our code quality high
- Debug and resolve production issues; take part in blameless postmortems
- Plan and execute smooth migrations to new technology as a way of managing technical debt
- Build tools and automation for our business and operations teams
- Make decisions on trade offs such as: Reuse versus introducing dependencies; Extensibility versus over-engineering; and Maintainability versus time to delivery (via short-term workarounds)
- Contribute to the improvement of your team’s code review standards, design discussions, team planning, and AARs.
You may shine in this role if you
- Have a track record of shipping software in a distributed systems environment
- Are enthusiastic about collaborating across departments to solve challenging problems
- Are pragmatic about the need to release less-than-perfect software and continuously iterate on it
- Can identify and articulate trade-offs in software and data design
- Can communicate both technical and business requirements fluently
- Are excited about both learning new things and teaching others
We speak mainly in javascript and golang, though we are open to engineers with different backgrounds and languages
SKILLS: 3D Modelling, Texturing Knowledge of Game engines Comfortable with latest technologies Must have good creative art sense and visualisation skills. Should have ability to create character, background and level designs.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon