Python
Go Programming (Golang)
Kubernetes
Docker
Shubham Vishwakarma
Full Stack Developer - Averlon
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Job Summary
We are looking for an experienced Managed File Transfer (MFT) Engineer with strong expertise in Axway MFT and/or IBM Sterling File Gateway (SFG). The ideal candidate should have hands-on experience in administering and supporting enterprise file transfer platforms in Linux and Windows environments, along with monitoring and scheduling tools such as Splunk and AutoSys.
Key Responsibilities
- Install, configure, administer, and support Axway MFT and/or IBM Sterling File Gateway (SFG) environments.
- Monitor and troubleshoot managed file transfer processes to ensure secure, reliable, and timely file exchanges.
- Configure trading partners, communication protocols, certificates, and file transfer workflows.
- Perform root cause analysis and resolve production incidents within SLA.
- Work with business and application teams to onboard new partners and file transfer requirements.
- Administer Linux and Windows servers supporting MFT infrastructure.
- Configure and monitor logs using Splunk for proactive issue identification and performance monitoring.
- Manage and monitor batch jobs using AutoSys.
- Perform software upgrades, patching, certificate renewals, and system maintenance.
- Implement security best practices, including encryption, authentication, and access control.
- Create and maintain operational documentation, SOPs, and knowledge base articles.
- Participate in on-call support and production maintenance activities.
Required Skills
- 8 years of experience in Managed File Transfer (MFT) administration.
- Strong experience with Axway SecureTransport, Axway MFT, and/or IBM Sterling File Gateway (SFG).
- Hands-on experience with Linux and Windows server administration.
- Experience with secure file transfer protocols:
- SFTP
- FTPS
- FTP
- HTTPS
- AS2
- Experience with Splunk for monitoring, log analysis, and troubleshooting.
- Experience with AutoSys job scheduling and monitoring.
- Strong understanding of SSL/TLS certificates, PGP encryption, SSH keys, and network security.
- Good knowledge of TCP/IP, DNS, Firewall, and Load Balancer concepts.
- Experience in incident management, problem management, and change management.
- Strong troubleshooting and analytical skills.
Preferred Skills
- Experience with IBM Sterling B2B Integrator (B2Bi) or IBM Sterling Secure Proxy.
- Knowledge of scripting using Shell, Python, or PowerShell.
- Experience with ServiceNow or other ITSM tools.
- Understanding of ITIL processes.
- Exposure to cloud platforms (AWS, Azure, or GCP) is an added advantage.
- Experience working in Agile environments
Data Science
Machine Learning (ML)
Deep LearningJob Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
DockerKubernetes
Amazon Web Services (AWS)
JenkinsDevOps Lead Engineer
We are seeking a skilled DevOps Lead Engineer with 8 to 10 yrs. of experience who handles the entire DevOps lifecycle and is accountable for the implementation of the process. A DevOps Lead Engineer is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environments.
Essential Requirements (must have):
• Bachelor's degree preferable in Engineering.
• Solid 5+ experience with AWS, DevOps, and related technologies
Skills Required:
Cloud Performance Engineering
• Performance scaling in a Micro-Services environment
• Horizontal scaling architecture
• Containerization (such as Dockers) & Deployment
• Container Orchestration (such as Kubernetes) & Scaling
DevOps Automation
• End to end release automation.
• Solid Experience in DevOps tools like GIT, Jenkins, Docker, Kubernetes, Terraform, Ansible, CFN etc.
• Solid experience in Infra Automation (Infrastructure as Code), Deployment, and Implementation.
• Candidates must possess experience in using Linux, Jenkins, and ample experience in Configuring and automating the monitoring tools.
• Strong scripting knowledge
• Strong analytical and problem-solving skills.
• Cloud and On-prem deployments
Infrastructure Design & Provisioning
• Infra provisioning.
• Infrastructure Sizing
• Infra Cost Optimization
• Infra security
• Infra monitoring & site reliability.
Job Responsibilities:
• Responsible for creating software deployment strategies that are essential for the successful
deployment of software in the work environment and provide stable environment for delivery of
quality.
• The DevOps Lead Engineer is accountable for designing, building, configuring, and optimizing
automation systems that help to execute business web and data infrastructure platforms.
• The DevOps Lead Engineer is involved in creating technology infrastructure, automation tools,
and maintaining configuration management.
• The Lead DevOps Engineer oversees and leads the activities of the DevOps team. They are
accountable for conducting training sessions for the juniors in the team, mentoring, career
support. They are also answerable for the architecture and technical leadership of the complete
DevOps infrastructure.
JavaThe Above Mentioned budget is for
Experience with QE for distributed, highly scalable systems • Good understanding of OOPS concepts and strong programming skills in Java, Groovy or JavaScript • Hands on experience of working with at least one of GUI based test automation tools for desktop and/or mobile automation. Experience on multiple tools will be added advantage • Proficient in writing SQL queries • Familiarity with process of test automation tool selection & test approach • Experience in designing and development of automation framework and creation of scripts using best industry practices such as Page object model • Integrate test suites into the test management system and custom test harness • Familiar with implementation of design patterns, modularization, and user libraries for framework creation • Can mentor team as well as has short learning curve for new technology • Understands all aspects of Quality Engineering • Understanding of SOAP and REST principles • Thorough understanding of microservices architecture • In-depth hands-on experience of working with at least one API testing tool like RestAssured, SOAP UI, NodeJS • Hands-on experience working with Postman or similar tool • Hands-on experience in parsing complex JSON & XML and data validation using serialization techniques like POJO classes or similar • Hands-on experience in performing Request and Response Schema validation, Response codes and exceptions • Good Understanding of BDD, TDD methodologies and tools like Cucumber, TestNG, Junit or similar. • Experience in defining API E2E testing strategy, designing and development of API automation framework • Working experience on build tools Maven / Gradle, Git etc. • Experience in creating test pipeline – CI/CD
Job Description: Graphic Designer (Video Editing and Motion Graphics)
Position: Graphic Designer
Location: Jaipur
Salary: 20k to 30 k
Role Overview: We are seeking a skilled Graphic Designer with expertise in Video Editing and Motion Graphics to join our team in Jaipur. As a Graphic Designer, you will be responsible for creating captivating video content, including promotional videos, product demos, and social media assets. Your role will also involve designing motion graphics elements and occasionally supporting graphic design tasks using CorelDRAW and Photoshop.
Responsibilities:
- Conceptualize and develop engaging video content, ensuring high-quality editing and seamless transitions.
- Create visually appealing motion graphics and animations to enhance video presentations.
- Collaborate with the creative team and stakeholders to deliver visually stunning solutions.
- Adhere to brand guidelines and maintain consistent brand representation in all video content.
- Occasionally assist with graphic design tasks for print materials and digital assets.
Requirements:
- 1 to 2 years of experience in video editing and motion graphics with a strong portfolio.
- Proficiency in Adobe Premiere Pro and After Effects for video editing and motion graphics.
- Working knowledge of CorelDRAW and Photoshop for graphic design tasks.
- Creative mindset with a keen eye for detail and visual aesthetics.
- Strong multitasking abilities and ability to meet project deadlines.
- Excellent communication skills to collaborate effectively with team members and stakeholders.
How to Apply: If you are a talented Graphic Designer specializing in Video Editing and Motion Graphics and wish to be part of an exciting team, please submit your updated resume and a link to your portfolio showcasing your best video editing and motion graphics work. Resumes with portfolios will be preferable, as they allow us to better assess your skills and creativity.
Java
Spring BootHey Folks!
We are hiring java developers with Core java-7/8, microservices, springboot, oops, RestAPI and SQL skills.
React.jsJava
HTML/CSS
Redux/FluxAbout the Company:- Rejolut is one of the award-winning fastest-growing emerging tech companies which is working on leading technology like Blockchain, ML & AI, Complex mobile & web apps, IoT etc.
The ideal candidate will be responsible for developing highly scalable and secure code.
React Js Job Description
- Proficient in client & server-side JavaScript, HTML5, CSS3 and webpack
- Competent in building single page web applications using Node.js and React Js
- Redux for state management
- Universal rendering (Client-side rendering and Server-side rendering)
- Experience with cross-browser, cross-platform, and design constraints on the web
- Experience in developing automated unit and functional tests
- Experience in an agile development process
- Solid knowledge of algorithms and design patterns
- Have a passion for quality and writing clean, readable code that scales and performs well
- Good interpersonal communication skills
- 1+ years of software design and web application development
Benefits :
> Health Insurance
> Work from Home
> Fast growth and more visibility into the company
> Experience to work on the latest technology
> Competitive Learning Environment with supportive co-workers
> Employee friendly HR Policies
> Paid leaves up to certain limits
> Competitive salaries & Bonuses
> Liberal working atmosphere
> Get mentored by the best in the industry
Schedule:
Day Shift/Flexible working hours
Monday to Friday
Skills:- React.js, Javascript and Redux/Flux
Data ScienceMachine 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.
Data Analytics
We are looking for a Product Lead who will work in collaboration with the Global team and take responsibility for growing the product. Our product team will be the guiding force for all our products, working towards the birth and growth of each element of BLITZPOKER on a daily basis.
You will be responsible to plan, manage & implement schedules to ensure deadlines are met and maintaining a high-quality standard of product, live-ops & delivery. You will be working closely with our design, business, engineering, and operations team, to comprehend user-faced hurdles, brainstorm and curate beautiful solutions and also ensure that BLITZ Brand grows manifolds. This role would provide you with an opportunity to join a small team with big ambitions and grow products from scratch to the hockey stick trajectory.
Responsibilities
- Manage products with supervision and run live operations for the games/other products.
- Plan daily operations.
- Responsible for the growth of a critical business line for the company.
- Identify key features based on customer and market feedback.
- Responsible to look into product analytics and finding insights for the growth of the business.
- Coordinates activities that affect operational decisions and business requirements.
- Communicates with all relevant departments to ensure delivery times are met.
- Manage the product life cycle of the assigned product module and ensure all product enhancements are thought through and implemented.
- Work with Marketing leads from Acquisition, Brand, Consumer Research, Corporate Development, and others to develop and execute integrated marketing plans through all phases of product development.
- Responsible for finding hacks to grow in product and also in new game ventures.
- Responsible for making data-driven decisions for all the experiments across the products
Requirements
- 7-9 years of experience is preferred but if you don’t and can substitute experience with passion then let’s talk.
- Good communication skills.
- Attention to detail.
- Data-driven - solid understanding of data/analytics tools, and the ability to deep dive into data to make decisions.
- Advance knowledge of MS Office & MS-Excel.
- Love for games and creating a fun, compelling, and addictive user experience.
- Must have the passion to self-motivate, the guide to selling your ideas to other stakeholders, and the drive to execute those ideas cross-functionally.
Java
Elastic Search
RedisRequirements:
- 3 -7 years of software development experience.
- Good grasp on programming fundamentals including OOP, Design Patterns and Data Structures.
- Excellent analytical, logical and problem-solving skills.
- Software Development Engineer.
- Good understanding of complexities involved in designing/developing large scale systems.
- Strong system design skills.
- Experience in technologies like Elasticsearch, Redis, Kafka etc.
- Good knowledge of relational and NoSQL databases.
- Familiarity with common machine learning algorithms. In-depth knowledge is a plus.
- Experience of working with big data technologies like Hadoop, Spark, Hive is a big plus.
- Ability to understand business requirements and take ownership of the work.
- Exhibit passion and enthusiasm for building and maintaining large scale platforms.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon