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Job Responsibilities:
This role requires you to work on Linux systems and their associated services which provide the capability for IG to run their trading platform. Team responsibilities include daily troubleshooting and resolution of incidents, operational maintenance, and support for proactive and preventative analysis of Production and Development systems.
- Managing the Linux Infrastructure and web technologies
- Patching and upgrades of Redhat Linux OS and server firmware.
- General Redhat Linux system administration and networking.
iii. Troubleshooting and Issue Resolution of OS and network stack incidents.
iv. Configurations management using puppet and version control.
v. Systems monitoring and availability.
vi. Web applications and application routing.
vii. Web-site infrastructure, content delivery, and security. - Day to day responsibilities will include: Completing service requests, responding to Incidents and Problems as they arise as well as providing day to day support and troubleshooting for Production and Development systems.
3. Create a run book of operational processes and follow a support matrix of products.
4. Ensuring Internal Handovers are completed, and all OS documentation is updated.
5. Troubleshoot system issues, plan for future capacity, and monitor systems performance.
6. Proactive monitoring of the Linux platform and ownership of these tools/dashboards.
7. Work with the delivery and engineering teams to develop the platform and technologies, striving to automate where possible.
8. Continuously improve the team, tools, and processes, support regular agile releases of applications and architectural improvements.
9. The role includes participating in a team Rota to provide out-of-hours support.
Person Specification:
Ability / Expertise
This position is suited to an engineer with at least 8 years of Redhat Linux / Centos Systems Administration experience that is looking to broaden their range of technologies and work using modern tools and techniques.
We are looking for someone with the right attitude: -
Eager to learn new technologies, tools, and techniques alongside applying their existing skills and judgment.
• Pragmatic approach to balancing different work priorities such as incidents, requests and
Page Break troubleshooting.
- Can do/Proactive in improving the environments around them.
• Sets the desired goal and the plans to achieve it.
• Proud of their achievements and keen to improve further.
This will be a busy role in a team so the successful candidate’s behaviors will need to strongly align with our values:
• Champion the client: customer service is a passion, cultivates trust, has clarity and communicates well, works with pace and momentum
• Lead the way: innovative and resilient, strong learning agility and curiosity
• Love what we do: Conscientiousness - has high self-discipline, carefulness, thoroughness, and organization, Flexible and adaptable
The successful candidate will be able to relate to the statements above and give examples that back them up. We believe that previous achievements signpost a good fit at IG.
Qualifications
Essential:
• At least 4 years’ Systems Administration experience with Redhat Enterprise Linux / Centos 5/6/7 managed through a Satellite infrastructure.
• Managed an estate of 1000+ hosts and performed general system administration, networking, backup, and restore monitoring and troubleshooting functions on that estate.
• 1 Years of experience with scripting languages (bash/Perl/Ruby) and automating tasks with Puppet and Redhat Satellite. Experience with custom RPM generation.
• Strong analytical and troubleshooting skills. You will have resolved complex systems issues in your last role and have a solid understanding of the tools needed to do so.
• Excellent Communication (Listening, speaking, the transmission of concepts with/without examples, etc).
• Calm under pressure and work to tight deadlines. You will have brought critical production systems back to life.
Looking for technically skilled candidates with excellent interpersonal skills for the technical support position. Technical support officers troubleshoot technical issues, provide timely customer feedback, and support the roll-out of new applications, among other duties.
Moreover, technical support officers need to talk to customers directly, as well as create written documentation, requiring excellent written and verbal communication.
Responsibilities:
- Identifying hardware and software solutions.
- Troubleshooting technical issues.
- Diagnosing and repairing faults.
- Resolving network issues.
- Installing and configuring hardware and software.
- Speaking to customers to quickly get to the root of their problem.
- Providing timely and accurate customer feedback.
- Talking customers through a series of actions to resolve a problem.
- Following up with clients to ensure the problem is resolved.
- Replacing or repairing the necessary parts.
- Supporting the roll-out of new applications.
- Providing support in the form of procedural documentation.
- Managing multiple cases at one time.
- Testing and evaluating new technologies.
- Conducting electrical safety checks on equipment.
Requirements:
- Degree in computer science or information technology.
- Certification in Microsoft, Linux, or Cisco is advantageous.
- Prior experience in tech support, desktop support, or a similar role.
- Proficiency in Windows/Linux/Mac OS.
- Experience with remote desktop applications and help desk software.
- Attention to detail and good problem-solving skills.
- Excellent interpersonal skills.
- Good written and verbal communication.
Role/Title: ASCP Functional consultant (Exp - 4 to 15 yrs.)
Location: Noida/Pune/Bangalore/Hyderabad/Chennai
Primary Skills/expertise: ASCP, MFG/MRP, MPS, WIP, BOM
Role & Responsibilities
Functional Consultant with min 6-8 years of experience.
Skills –
- Oracle VCP-EBS - Advanced Supply Chain Planning (ASCP, MFG/MRP, MPS Planning Expert)
Detailed Job Description:
- Strong experience in Oracle ASCP, MRP, MPS Planning and Manufacturing
- Good knowledge of Oracle EBS, Mfg., WIP, BOM
- Having done at least one end to end implementation of Oracle EBS Mfg. with primary focus on VCP modules
- Good knowledge of Supply Chain Management related business processes and Oracle configurations / functional setups, profile options, flex-fields, functional interfaces for R12 EBS
- Should have worked on customizations, Reports, interfaces etc. over MSC schema
- Understanding of software development methodologies, development processes, change management, and deployment procedures
- Experience with gathering user requirements, understanding and interpreting requirements specifications
- Ability to analyze, trouble shoot and effectively communicate functional details to end users
- Worked with Oracle Technical Support on SR resolution
- Self-motivated team player with ability to work independently as well as part of a team
- Strong analytical and problem-solving skills along with written and verbal communication skills
- Good to have – SQL-query knowledge, well known about VCP & Oracle-EBS Mfg. Tables, scheduling tools.
- Should have good understanding of Oracle-EBS Integrations with VCP
- Should have experience in client facing.
- Experience in working with multiple teams.
- Flexible in timings
- Expert in writing functional specifications
- Should able to understand holistic planning solution of customer
- Must have experience in Creation of different test scripts, doing testing, UAT support
.NET
C#Job description
Tech Stack: C#, .NET Core, XUnit, Entity Framework Core, MS SQL Server, PostgreSQL, Git, JIRA, Confluence
Senior (Lead) .NET Developer Responsibilities: -
Interface with product owners and software architects to review and finalize requirements
- Participate in the full SDLC including analysis, design, development, testing, deployment, and support of new features and applications
- Actively lead and participate in agile ceremonies (Standups, Refinements, Retrospectives, Planning, and Requirement’s discussions)
- Communicate effectively, clearly, and thoroughly with the Scrum Team and Stakeholders - Provide innovative solutions to complex problems
- Design, develop and modify software applications/systems according to specifications
- Develop technical documentation including services, object, and data model
- Create high quality code and perform code reviews
- Create unit and integration tests to ensure the code quality and functionality
- Proactively learn and share knowledge of technology and compare advantages and disadvantages of alternative solutions/technologies
- Identify areas needing process improvements and see them through to resolution
- Support and coach other Developers, provide technical guidance
- Help onboard new team members
Job Type: Full-time
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.
About Company:
Working with a multitude of clients populating the FTSE and Fortune 500s, Audit Partnership is a people focused organization with a strong belief in our employees. We hire the best people to provide the best services to our clients.
APL offers profit recovery services to organizations of all sizes across a number of sectors. APL was borne out of a desire to offer an alternative from the stagnant service provision on offer in the profit recovery industry.
Every year we cover million of pounds for our clients and also work closely with them, sharing our audit findings to minimize future losses. Our dedicated and highly experienced audit teams utilize progressive & dynamic financial service solutions & industry leading technology to achieve maximum success.
We provide dynamic work environments focused on delivering data-driven solutions at a rapidly increased pace over traditional development. Be a part of our passionate and motivated team who are excited to use the latest in software technologies within financial services.
Headquartered in the UK, we have expanded from a small team in 2002 to a market leading organization serving clients across the globe while keeping our clients at the heart of all decisions we make.
Job description:
We are looking for a high-potential, enthusiastic SQL Data Engineer with a strong desire to build a career in data analysis, database design and application solutions. Reporting directly to our UK based Technology team, you will provide support to our global operation in the delivery of data analysis, conversion, and application development to our core audit functions.
Duties will include assisting with data loads, using T-SQL to analyse data, front-end code changes, data housekeeping, data administration, and supporting the Data Services team as a whole. Your contribution will grow in line with your experience and skills, becoming increasingly involved in the core service functions and client delivery. A self-starter with a deep commitment to the highest standards of quality and customer service. We are offering a fantastic career opportunity, working for a leading international financial services organisation, serving the world’s largest organisations.
What we are looking for:
- 1-2 years of previous experience in a similar role
- Data analysis and conversion skills using Microsoft SQL Server is essential
- An understanding of relational database design and build
- Schema design, normalising data, indexing, query performance analysis
- Ability to analyse complex data to identify patterns and detect anomalies
- Assisting with ETL design and implementation projects
- Knowledge or experience in one or more of the key technologies below would be preferable:
- Microsoft SQL Server (SQL Server Management Studio, Stored Procedure writing etc)
- T-SQL
- Programming languages (C#, VB, Python etc)
- Use of Python to manipulate and import data
- Experience of ETL/automation advantageous but not essential (SSIS/Prefect/Azure)
- A self-starter who can drive projects with minimal guidance
- Meeting stakeholders to agree system requirements
- Someone who is enthusiastic and eager to learn
- Very good command of English and excellent communication skills
Perks & Benefits:
- A fantastic work life balance
- Competitive compensation and benefits
- Exposure of working with Fortune 500 organization
- Expert guidance and nurture from global leaders
- Opportunities for career and personal advancement with our continued global growth strategy
- Industry leading training programs
- A working environment that is exciting, fun and engaging
- Developing telemetry software to connect Junos devices to the cloud
- Fast prototyping and laying the SW foundation for product solutions
- Moving prototype solutions to a production cloud multitenant SaaS solution
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics specialists to strive for greater functionality in our data systems.
Qualification and Desired Experiences
- Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
- 5+ years experiences building data pipelines for data science-driven solutions
- Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
- Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
- Good team worker with excellent interpersonal skills written, verbal and presentation
- Create and maintain optimal data pipeline architecture,
- Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
- Previous work in a start-up environment
- 3+ years experiences building data pipelines for data science-driven solutions
- Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
- We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
- Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and interpersonal skills.
- Experience supporting and working with multi-functional teams in a multidimensional environment.
Sales Specialist - Global Selling, SaaS products
Company Name: https://www.linkedin.com/company/amazon/life/">GaragePlug Inc
Website: www.garageplug.com
Company HQ: Bengaluru, India
Work Location: Remote only
Role and Responsibilities
- Understand products and services offered by GaragePlug and be able to articulate its functions and benefits to external audiences.
- Reach out to the target customer segment (small & medium size businesses)
- Make a sales pitch to the customers (on phone/virtual demo / face to face as situation permits)
- Handle inbound inquiries and convert such leads
- Identify cross-sell opportunities and action them
- Achieve Sales targets - in terms of customer acquisition and Monthly Recurring Revenue
- Help customers in onboarding and ensure high customer satisfaction
- Receive customer feedback and accordingly share inputs with product teams for improvement
- Maintain highest standards of integrity and commitment.
- It is an individual contributor role
Functional Competencies
- Understanding / experience of sales process
- Ability to showcase product through demos to business owners and get their buy-in
- Customer centricity
- Stakeholder management
- Basic understanding of automobile industry
- Excellent communication & presentation skills
Candidate Profile
- Must have a 0-2 years of work experience in B2B sales/SME sales
- Candidates from SaaS / Start-ups / Automotive / B2B sales is preferred
- Qualification required - Engineer/ Bachelor’s degree with relevant experience
HTML/CSS- Create Intuitive websites, Responsive design, Web and Mobile application/Product interfaces
- Good at following practices like W3C standards, Tableless layout & SEO friendly markup
- Creating ideas for a social media campaign, print communication, packaging and branding
- Creating promotional videos by collaborating with the marketing team
- Create and iterate design mock-ups, prototypes, specs and production visual assets such as graphics and icons
Identify customers needs and gaps in our content and recommend new topics
Required:
- A portfolio that demonstrates your visual and interaction design experience
- Strong ability to communicate, articulate your design decisions, and consider feedback from product managers, engineers and other designers
- Experience with 3D software tools like Maya, Blender, Unity, etc
- Should be well-versed in Adobe Premiere Pro and After Effects
- Passionate about graphic design, typography, photography, motion, and illustration
Degree in Design, Fine Arts or a related field is a plus
Online product development company into Consumer domain
You will break down business opportunities and problems into software solutions. You will work closely with the CTO to help product and marketing stakeholders distill the product vision and roadmap, into a technology vision. You will be responsible for the evolution of an already bleeding-edge highly distributed systems at the back-end, and would need to work with front-end architects to come up with the best user experience for the gaming platform. You will be required to make decisions quickly, and work under strict timelines. You would lead technology strategy through analysis of market trends and product requirements. You would help set coding guidelines and help bring the most modern tools to keep engineering processes most efficient.
Requirements:
● B.E/MS in Computer Science or equivalent.
● 10+ years or more of progressive software technology experience with at least 3 years
in an architectural role.
● Completely hands on with technology and architecture. Start-up experience is a huge
plus.
● Ability to quickly prototype and demonstrate technology value adds and educate + drive
adoption within the extended technology team
● Excellent and robust understanding of scalable product system architecture(s),
platforms and core technologies
● Demonstrated problem-solving and leadership skills to pursue correct engineering
process in adverse conditions. Ability to embrace and demonstrate leadership beyond
ownership
● Work with engineering leadership to setup and manage processes.
● Track record of thought leadership and out of the box thinking in the technology arena.
● Ability to work efficiently in an entrepreneurial and in a start-up environment
● A Java/Spring/Akka, Javascript or Golang rockstar.
● Deep and hands on knowledge of some of these technologies - MySQL, NodeJS,
message brokers such as Kafka/RabbitMQ, NoSQL datastore such as Mongo, Cassandra,
Arango, distributed caches such as Redis/memcached, container technology such as
Docker and Kubernetes etc.
● Great proficiency in distributed systems design, with an ability to make the right
trade-offs for creating future-proof solutions.
Java
PostgreSQL
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