Senior DevOps & Backend Integration Engineer

Desktop Engineer - Hardware and Software Suppor_Savex

Responsibilities                                                    

• Hardware Diagnosis & Repair: Break down, diagnose, and physically repair enterprise laptops and desktops. This includes replacing laptop screens, keyboards, batteries, motherboards, fans, desktop power supplies, RAM, and storage drives.
• Desktop & Software Support: Install, configure, and troubleshoot Windows operating systems, standard business applications (Microsoft 365, Mircosoft Outlook, VPNs), and specialized department software.
• Hardware Lifecycle Management: Manage the complete hardware lifecycle from provisioning and deployment to tear down and secure e-waste disposal.
• Endpoint Administration:. Day to day administration endpoints like Crowdstrike, Netskope, Sapphire on Laptops & Desktops.
• Vendor Management: Handle warranty claims, repairs fall under active warranties.
• Network & Peripheral Troubleshooting: Resolve end-user connectivity issues (Wi-Fi, LAN, VPN) and support peripheral hardware including docks, multi-monitor setups, local/network printers, and conference room AV equipment.
• Asset Tracking: Maintain an accurate, real-time inventory of all physical IT assets, spare parts, and software licenses.

Skills Needed

• Experience: 5+ years in IT support, systems administration, or a similar role with a heavy emphasis on hands-on hardware maintenance.
• Hardware Proficiency: Proven ability to safely disassemble and reassemble modern ultra-thin laptops and micro-desktops without causing physical damage.
• OS Expertise: Deep troubleshooting knowledge of Windows 10/11, terminal/command-line operations, and driver management.
• Directory & Cloud Services: Experience with Active Directory and Microsoft 365 administration.
• Certifications (Preferred): Microsoft Certified: Modern Desktop Administrator Associate

Performance Expectations

• Maintain an average ticket resolution time within defined SLAs.
• Keep internal spare-parts inventory stocked and audited monthly.
• Reduce hardware replacement costs by maximizing the lifespan of out-of-warranty devices through in-house component-level repairs.

Interview process - Face to Face

Experience - 1 to 2 years

Budget - As per Industry norms

Work Type - Onsite / Full time

Candidate must have experience in Digital marketing & Advertising agency

Job description:

The ideal candidate will have strong creative skills and a portfolio of work which demonstrates their passion for design.

Responsibilities:

• Collaborate with the team to ensure consistency of designs across various media outlets
• Create strategic and effective branding and marketing collateral both print and digital
• Maintain awareness of current industry and technology standards, social media, competitive landscape and market trends

About the company

DCB Bank is a new generation private sector bank with 442 branches across India.It is a scheduled commercial bank regulated by the Reserve Bank of India. DCB Bank’s business segments are Retail banking, Micro SME, SME, mid-Corporate, Agriculture, Government, Public Sector, Indian Banks, Co-operative Banks and Non-Banking Finance Companies.

Job Description

Department: Risk Analytics

CTC: Max 18 Lacs

Grade: Sr Manager/AVP

Experience: Min 4 years of relevant experience

We are looking for a Data Scientist to join our growing team of Data Science experts and manage the processes and people responsible for accurate data collection, processing, modelling, analysis, implementation, and maintenance.

Responsibilities

• Understand, monitor and maintain existing financial scorecards (ML Based) and make changes to the model when required.
• Perform Statistical analysis in R and assist IT team with deployment of ML model and analytical frameworks in Python.
• Should be able to handle multiple tasks and must know how to prioritize the work.
• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
• Develop clear, concise and actionable solutions and recommendations for client’s business needs and actively explore client’s business and formulate solutions/ideas which can help client in terms of efficient cost cutting or in achieving growth/revenue/profitability targets faster.
• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
• Design and build technical processes to address business issues.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimize processes for data intake, validation, mining, and engineering as well as modelling, visualization, and communication deliverables.
• Communicate results and business impacts of insight initiatives to the Management of the company.

Requirements

• Industry knowledge
• 4 years or more of experience in financial services industry particularly retail credit industry is a must.
• Candidate should have either worked in banking sector (banks/ HFC/ NBFC) or consulting organizations serving these clients.
• Experience in credit risk model building such as application scorecards, behaviour scorecards, and/ or collection scorecards.
• Experience in portfolio monitoring, model monitoring, model calibration
• Knowledge of ECL/ Basel preferred.
• Educational qualification: Advanced degree in finance, mathematics, econometrics, or engineering.
• Technical knowledge: Strong data handling skills in databases such as SQL and Hadoop. Knowledge with data visualization tools, such as SAS VI/Tableau/PowerBI is preferred.
• Expertise in either R or Python; SAS knowledge will be plus.

Soft skills:

• Ability to quickly adapt to the analytical tools and development approaches used within DCB Bank
• Ability to multi-task good communication and team working skills.
• Ability to manage day-to-day written and verbal communication with relevant stakeholders.
• Ability to think strategically and make changes to data when required.

Hi,

I am HR from Janapriya school , Miyapur , Hyderabad , Telangana.

Currently we are looking for a primary computer teacher .

the teacher should have atleast 2 years experience in teaching computers .

Intrested candidates can apply to the above posting.

About antuit.ai

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

The Role:

Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python.

In this role, you will design the approach, develop and test machine learning algorithms, implement the solution.  The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving.  Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities.

Responsibilities:

Responsibilities includes, but are not limited to the following:

• Design, build, test, and implement predictive Machine Learning models.
• Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met.
• Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers.
• Collaborate cross-functionally with domain experts to identify gaps and structural problems.
• Contribute to standard business processes and practices as part of a community of practise.
• Be the subject matter expert across multiple work streams and clients.
• Mentor and coach team members.
• Set a clear vision for the team members and working cohesively to attain it.

Qualifications and Skills:

Requirements

• Experience / Education:
  • Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related 
• 5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates.
• Highly technical:
• Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python.
• Understanding of data structures and data modeling.
• Effective communication and presentation skills
• Able to collaborate closely and effectively with teams.
• Experience in time series forecasting is preferred.
• Experience working in start-up type environment preferred.
• Experience in CPG and/or Retail preferred.
• Effective communication and presentation skills.
• Strong management track record.
• Strong inter-personal skills and leadership qualities.

Information Security Responsibilities

• Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
• Take part in Information Security training and act accordingly while handling information.
• Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC

Responsibilities

• Our Site reliability engineers work on improving the availability, scalability, performance, and reliability of enterprise production services for our products as well as our customer’s data lake environments.
• You will use your expertise to improve the reliability and performance of Hadoop Data lake clusters and data management services. Just as our products, our SRE are expected to be platform and vendor-agnostic when it comes to implementing, stabilizing, and tuning Hadoop ecosystems.
• You’d be required to provide implementation guidance, best practices framework, and technical thought leadership to our customers for their Hadoop Data lake implementation and migration initiatives.
• You need to be 100% hand-on and as a required test, monitor, administer, and operate multiple Data lake clusters across data centers.
• Troubleshoot issues across the entire stack - hardware, software, application, and network.
• Dive into problems with an eye to both immediate remediations as well as the follow-through changes and automation that will prevent future occurrences.
• Must demonstrate exceptional troubleshooting and strong architectural skills and clearly and effectively describe this in both a verbal and written format.

Requirements

• Customer-focused, Self-driven, and Motivated with a strong work ethic and a passion for problem-solving.
• 4+ years of designing, implementing, tuning, and managing services in a distributed, enterprise-scale on-premise and public/private cloud environment.
• Familiarity with infrastructure management and operations lifecycle concepts and ecosystem.
• Hadoop cluster design, Implementation, management and performance tuning experience with HDFS, YARN,
• HIVE/IMPALA, SPARK, Kerberos and related Hadoop technologies are a must.
• Must have strong SQL/HQL query troubleshooting and tuning skills on Hive/HBase.
• Must have a strong capacity planning experience for Hadoop ecosystems/data lakes.
• Good to have hands-on experience with – KAFKA, RANGER/SENTRY, NiFi, Ambari, Cloudera Manager, and HBASE.
• Good to have data modeling, data engineering, and data security experience within the Hadoop ecosystem.Good to have deep JVM/Java debugging and tuning skills.

Responsibilities

• Ability to translate Wireframes and Visual Designs into functional web apps using React, Node.js, and Mongo
• Creating RESTful services with Node.js
• Architect scalable web architectures
• Be responsive to change requests and feature requests Ability to wear many hats and learn new technologies quickly

Experience

• 1-2 years with Node.js and Express
• Ability to work both independently and in collaborative teams to communicate design and build ideas effectively
• Experience using asynchronous RESTful services (JSON)
• Experienced in creating RESTful web services and API
• Experience with JWT/OAuth
• Experience with MongoDB, MySql

Requirements

• Fluent knowledge of the latest HTML/CSS standards and best practices
• Working knowledge of JavaScript, React, Node.js and Express
• Understanding of HTTP methods and how server-side code is processed on the client
• Working knowledge of front end optimization and performance techniques
• Experience building responsive websites
• Able to handle multiple projects and competing deadlines
• Good understanding of overall web design including basic usability, accessibility, industry standards, architecture, and navigation

• Manage sales operations in assigned district to achieve revenue goals.
• Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
• Identify skill gaps and conduct trainings to sales team.
• Work with team to implement new sales techniques to obtain profits.
• Assist in employee recruitment, promotion, retention and termination activities.
• Conduct employee performance evaluation and provide feedback for improvements.
• Contact potential customers and identify new business opportunities.
• Stay abreast with customer needs, market trends and competitors.
• Maintain clear and complete sales reports for management review.
• Build strong relationships with customers for business growth.
• Analyze sales performances and recommend improvements.
• Ensure that sales team follows company policies and procedures at all times.
• Develop promotional programs to increase sales and revenue.
• Plan and coordinate sales activities for assigned projects.