Task:
- Make documentations with formatting and in proper detailing
- Basic knowledge on Excel working with formula handling & reporting.
- Need to do multitasking, able to deliver tasks on time with expected quality
- Candidate should have thinking out of the box which supports the department to deliver good results in the pre-defined processes.
- Needs to be quick learner and able to come up with own thoughts on the tasks explained/shared to deliver good results
- Work closely with German team for operative processes/execution/deliverables.
- Flexible to adopt the changes in terms of processes/task handling.
- Knowledge on order fulfillment processes, managing support content on the website, inputs on support handling processes are added advantage.
We wish:
- At least bachelor in any stream or equivalent experience
- At least 1 year of experience in MS-Excel or similar office tools – is preferred
- Knowledge on VB script, macros is preferred
- Documentation skills
- Good Communication skills, at least speaking in English is required
- Good analytical skills
- Eager to know/experiment new technology and tools
- Web Browsing , ability to search quick results from web
- Experience on process documentation & presentation is preferred
- Ability to work independently with little or no daily supervision
- Out of box thinking and quick learner with willingness to learn new things
We Offer:
- Freedom to realise your own ideas & individual career & development opportunity.
- A motivating work environment, flat hierarchical structure, numerous company events which cannot be forgotten and fun at work place with flexibilities.
- Professional challenges and career development opportunities.
About Brodos India Pvt. Ltd.
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About Digit88
Digit88 empowers digital transformation for innovative and high growth B2B and B2C SaaS companies as their trusted offshore software product engineering partner!
We are a lean mid-stage software company, with a team of 75+ fantastic technologists, backed by executives with deep understanding of and extensive experience in consumer and enterprise product development across large corporations and startups. We build highly efficient and effective engineering teams that solve real and complex problems for our partners.
With more than 50+ years of collective experience in areas ranging from B2B and B2C SaaS, web and mobile apps, e-commerce platforms and solutions, custom enterprise SaaS platforms and domains spread across Conversational AI, Chatbots, IoT, Health-tech, ESG/Energy Analytics, Data Engineering, the founding team thrives in a fast paced and challenging environment that allows us to showcase our best.
The Vision: To be the most trusted technology partner to innovative software product companies world-wide
The Opportunity:
As the Data Science Lead, you will own and drive the company's data initiatives, managing a team of data scientists, and ensuring the
As a Data Scientist II, you will be part of the Product Risk Operations team that owns the development of AI-powered technology that helps our clients make communities safer and more resilient. Our technology helps our customers in reducing carbon emissions, reducing infrastructure risk and avoiding fatalities, a fact that we pride ourselves in.
As a part of the Risk Operations team, you will be working on a wide range of activities related to end-to-end Machine Learning (ML) deployments, research and development of ML product features to support internal and external stakeholders. This is a great role for someone who enjoys variety and is also looking to expand their skill set in a structured fashion.
What You’ll Do
- Become a subject matter expert on products, including understanding how AI can be used in the utilities industry to enable our clients desired outcomes.
- Work closely with cross-functional teams to identify opportunities, design experiments and deploy repeatable and scalable machine learning solutions that drive business impact.
- Lead design of experiments and hypothesis tests related to machine learning product features development.
- Lead design, implementation, and deployment of machine learning models to support existing as well as new customers.
- Communicate findings and recommendations to both technical and non-technical stakeholders through clear visual presentations.
- Monitor and analyze machine learning model performance and data accuracy.
- Mentor junior staff members.
- Stay current with best practices in data science, machine learning and AI.
Who You Are
- 3-5 years of experience building and deploying machine learning models
- Master’s or PHD in statistics, mathematics, computer science or another quantitative field
- Strong problem solving skills with emphasis on product development.
- Well versed in programming languages such as R or Python with experience using libraries such as pandas, scikit-learn, tensor flow .
- Experience with SQL and relational databases for data extraction and manipulation.
- Experience using a variety of Machine Learning techniques for Predictive Modeling, Classification, Natural Language Processing (including Large Language Models), Content Recommendation Systems, Time Series Techniques
- Passionate about being up-to-date with the latest developments in Machine Learning
- Strong organizational, time management, and communication skills
- High degree of accountability
- Utility, Infrastructure or Energy related field experience is a plus
Benefits/Culture @ Digit88:
- Comprehensive Insurance (Life, Health, Accident)
- Flexible Work Model
- Accelerated learning & non-linear growth
- Flat organisation structure driven by ownership and accountability.
- Opportunity to own and be a part of some of the most innovative and promising AI/SaaS product companies in North America and around the world.
- Accomplished Global Peers - Working with some of the best engineers/professionals globally from the likes of Apple, Amazon, IBM Research, Adobe and other innovative product companies
- Ability to make a global impact with your work, leading innovations in Conversational AI, Energy/Utilities, ESG, HealthTech, IoT, PLM and more.
You will work with a founding team of serial entrepreneurs with multiple successful exits to their credit. The learning will be immense just as will the challenges.
This is the right time to join us and partner in our growth!
Skillset
Angular, React/Redux (or Similar Technology)
Node.js
RESTfull API integration
Experience working with Docker and containerized applications
Experience working with Kubernetes or other container orchestration tools
Knowledge and understanding of working in AWS environments
Experience in full-stack development (with a passion)
RDBMS and Document Database
Experience with Agile/Scrum Development Methodology
Exposure to Continues Integration (CI/ CD) Devops, AWS
Version control systems like Git/ TFS
We are looking for a sincere and enterprising intern to join our HR Team!
Women on Break are welcome to join!
This is an internship opportunity for anyone seeking opportunities in recruitment.
Location : Bangalore
Roles and Responsibilities :
-Sourcing candidates from different channels (Naukri, LinkedIn, social media)
-Upload and manage job postings
-Screen Cvs according to requirement
-Understand and communicate with Candidates for requirements
-Maintain metrics, data
-Guide candidates from interview till onboarding
-Social media knowledge
Qualification/Eligibility
BBA, MBA, B.E./B.Tech/MCA with Good Communication skill
A minimum 6 months experience.
Roles and Responsibilities :
- Handling inquiries to get quotations from the vendor and closing it by generating the purchase orders.
- Coordinating and negotiating with vendors to get the most cost effective quotations.
- Procure products at negotiated rates from vendors
- Researching new prospective brands and affitating with them for new business
- Establish and maintain relationships with industry influencers and key strategic partners
- Preparing proposals for the clients based on their respective inquiries. Utilizing excel to keep the dashboard off inquiries, quotation, purchase orders, payments & deliveries.
Key Skills required
- Excellent communication, presentation and leadership skills
- Sound knowledge of MS - Office
- Outstanding organizational and time management skills
- Aptitude in presentation and public speaking
- Attention to details Critical thinker and analytical problem solver
Job title- Digital Marketing intern.
Job type- Internship
Duration- 3/4 Months
Education Qualification- Graduate
Skill Required-
Good interpersonal and communication skills.
Good at multitasking
Location: Work From Home
Stipend: Not applicable
Timing: Flexible working hour
Perks:
- Offer Letter
- Experience Letter
- Letter of Recommendation.
- Project completion letter
- Letter for achievements
- Job at our company
JD
Accelerate customer adoption of Business • Analytics / RPA / DevOps etc. • Services Business • Understand customer preferences adequately, • Be able to handle discussions independently with the client • Present offerings to CXO level audience • Be comfortable with the fact that the business is composed of many small deals • Being a business that is composed of small and mid-sized ARRs • Execute for closure in the week/ month and plan for the quarters ahead • Are natural team players • Work closely with the OEM team and Partners to ensure success across all • service lines.
Strong computer science fundamentals in algorithms, data
structures, storage technologies, distributed computing,
operating systems, etc.
Experience in designing and implementing scalable solutions
in a large scale distributed environment.
Robust and defensive coding skills using Java/Golang or any
other Object Oriented Programming Language.
Strong knowledge of RDBMS and any other NoSQL database
technologies (Cassandra, HBase, MongoDB, Dynamo etc.) .
Experience with building self healing, automatic fault
detection and recovery mechanisms is good to have.
Desired Skills and Experience
Java or golang
Responsibilities:
- Crawl the internet/intranet for issues people are facing and convert them in to stuctured data that would be consumed downstream.
- Familiar with the software development life cycle (SDLC) from analysis to deployment.
- Comply with coding standards and technical design.
- Adapts structured coding styles for easy review, testing, and maintainability of the code.
- Integrate the developed functionality and/or component into a fully functional system.
- Ensure unit and integration level verification plans are in place and adheres to the great quality of code at all times.
- Actively participate in troubleshooting, debugging and updating current live system.
- Verify user feedback in making the system more stable and easy.
- Work closely with analysts, designers, and other peer developers.
Requirements:
- Bachelor's degree in computer science or equivalent practical experience.
- Understanding of OOPS concepts, Persistence, Threading.
- Good understanding of version control system (GIT).
- Knowledgeable in data structures and algorithms.
- A background in Engineering with sound oral and written communication skills.
- 6+ years of experience working on the server-side.
- Exposure to API designing, scalable architecture, and thorough understanding of systems.
- Great database modeling skills.
- Working knowledge of Databases, both relational (such as PostgreSQL) and in-memory database (such as Redis).
- Good understanding of web stack and how all the pieces fit together.
- Experience with open-source projects.
- Experience in designing interactive applications.
The IT Infrastructure Analyst is responsible for working on assigned projects and technical initiatives in an efficient/effective manner. The IT Infrastructure Analyst must possess a high degree of technical knowledge regarding server & storage systems and associated technology tools for managing them.
The individual is expected to be able to manage and support infrastructure systems as necessary, perform troubleshooting, build new systems, and monitor data center environments.
Must have:
8-12 years’ experience in IT infrastructure management
Expertise in Dell Server Environments (Dell Hardware & Management system - Open Manage)
Expertise in VMWare (Vcentre setup and management)
Expertise in Windows server and storage
Expertise in EMC (now Dell) SAN and NAS devices
Good Linux skills (basic troubleshooting skills on Linux servers CentOS)
Good networking skills (troubleshooting skills)
Familiarity with Data Center Environmentals (Power, UPS, Cooling etc.)
Good to have:
- Experience with hyper-converged infrastructure such as Nutanix
- Experience and familiarity with Dell networking technology.
- Experience and familiarity with AWS