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Role –Customer Success Executive (Post Sales)

Looking to grow in a customer success role in a dynamic and fast paced SaaS environment ? NuVeda is the perfect place for you to explore your interests, use your strength to leverage your customer relationship.

Who we are?

A three-time award winner for the best product from eLearning Industry (2022), NuVeda established in 2006, is a fast-growing SaaS company with offices in Minneapolis, Chennai & Bangalore.

What do we do?

As a strategic growth partner in learning and development, we help our Customers Design, Deliver & Manage all their learning interventions at scale, Measure the business impact and Monetize the learning assets.

Our Vision & Culture

With a vision to build the "Google of Learning", we thrive in an open and honest organization culture where Autonomy, Alignment to Purpose, Integrity, Continuous Learning and Development are fostered to be future ready.

Why us?

We promise you an ambitious career path, compensation & benefits as per the industry standards and a team of high pots who pushes you to your limitless potential.

Role Summary

We are looking for people with the right mix of compassion, communication skills, and technical knowledge to get the job done.  

• As a Customer Success Executive, you will partner closely with the Director of Customer Success, Implementation and Onboarding team and product team to ensure our customers realise the maximum value from their investment.
• Build and maintain strong professional relationships with our domestic and global customers with the support of the team to coordinate operational tasks.
• This is a highly collaborative role, which requires excellent organization, clear communication and a passion for using data to drive successful partnerships.

Keen to know more about how you could contribute?  

• Maintain a detailed knowledge of our offering and the impact they can create for our customers.
• Coordinating and maintaining a detailed list of all tasks and communication with the client.
• Working closely with other cross-functional team members to translate business needs and product requirements into new solutions for customers.
• Manage the process of creating review reports which will include : consolidating and maintaining reporting format, proof reading and pulling standard reports.
• Maintaining a task and discussion tracker to manage the timelines and go live details of the ongoing projects.
• Schedule regular/day-to-day client and internal meetings to understand the requirements, challenges and adoption status.
• Assisting the onboarding team for any new business set up activity that might arise from accounts.
• Proactively spot and correct any issues that could affect customer satisfaction or retention.
• Help CS Team drive customer references and case studies, and produce reports and presentations to explain insights and results to marketing professionals.
• Keep yourself updated about new products and services that could be of value to customer’s business.

• Co-ordinate with the QA team and Product team for timely closure of tickets and help the customer understand the usage.
• Handle customer escalations and ensure closure of the issues.

Desired Skills

• Any graduate/masters/engineering in computer science who is ambitious, energetic, and highly motivated to learn and grow in a fast-paced environment.
• -2 years of relevant experience in B2B customer facing roles.
• Knowledge of the SaaS ecosystem (good to have).
• Good communication skills, problem solving skills, solution oriented, logical thinking, analytical thinking, highly organized and active, proactive and learning ability will be highly desired.
• Account management and client relationship skills is preferred.

Hi,

PFB the Job Description for Data Science with ML

Type of hire                  : PWD and Non PWD

Employment Type    : Full Time

Notice Period            : Immediate Joiner

Work Days                    : Mon - Fri

About Ampera:

Ampera Technologies, a purpose driven Digital IT Services with primary focus on supporting our client with their Data, AI / ML, Accessibility and other Digital IT needs. We also ensure that equal opportunities are provided to Persons with Disabilities Talent. Ampera Technologies has its Global Headquarters in Chicago, USA and its Global Delivery Center is based out of Chennai, India. We are actively expanding our Tech Delivery team in Chennai and across India. We offer exciting benefits for our teams, such as 1) Hybrid and Remote work options available, 2) Opportunity to work directly with our Global Enterprise Clients, 3) Opportunity to learn and implement evolving Technologies, 4) Comprehensive healthcare, and 5) Conducive environment for Persons with Disability Talent meeting Physical and Digital Accessibility standards

About the Role

We are looking for a skilled Data Scientist with strong Machine Learning experience to design, develop, and deploy data-driven solutions. The role involves working with large datasets, building predictive and ML models, and collaborating with cross-functional teams to translate business problems into analytical solutions.

Key Responsibilities

• Analyze large, structured and unstructured datasets to derive actionable insights.
• Design, build, validate, and deploy Machine Learning models for prediction, classification, recommendation, and optimization.
• Apply statistical analysis, feature engineering, and model evaluation techniques.
• Work closely with business stakeholders to understand requirements and convert them into data science solutions.
• Develop end-to-end ML pipelines including data preprocessing, model training, testing, and deployment.
• Monitor model performance and retrain models as required.
• Document assumptions, methodologies, and results clearly.
• Collaborate with data engineers and software teams to integrate models into production systems.
• Stay updated with the latest advancements in data science and machine learning.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in computer science, Data Science, Statistics, Mathematics, or related fields.
• 5+ years of hands-on experience in Data Science and Machine Learning.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Experience with ML algorithms:
• Regression, Classification, Clustering
• Decision Trees, Random Forest, Gradient Boosting
• SVM, KNN, Naïve Bayes
• Solid understanding of statistics, probability, and linear algebra.
• Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau – preferred).
• Experience working with SQL and relational databases.
• Knowledge of model evaluation metrics and optimization techniques.

Preferred / Good to Have

• Experience with Deep Learning frameworks (TensorFlow, PyTorch, Keras).
• Exposure to NLP, Computer Vision, or Time Series forecasting.
• Experience with big data technologies (Spark, Hadoop).
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with MLOps, CI/CD pipelines, and model deployment.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder interaction skills.
• Ability to work independently and in cross-functional teams.
• Curiosity and willingness to learn new tools and techniques.

Accessibility & Inclusion Statement

We are committed to creating an inclusive environment for all employees, including persons with disabilities. Reasonable accommodations will be provided upon request.

Equal Opportunity Employer (EOE) Statement

Ampera Technologies is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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JOB DETAILS:

- Job Title: Lead DevOps Engineer

- Industry: Ride-hailing

- Experience: 6-9 years

- Working Days: 5 days/week

- Work Mode: ONSITE

- Job Location: Bangalore

- CTC Range: Best in Industry

Required Skills: Cloud & Infrastructure Operations, Kubernetes & Container Orchestration, Monitoring, Reliability & Observability, Proficiency with Terraform, Ansible etc., Strong problem-solving skills with scripting (Python/Go/Shell)

Criteria:

1.   Candidate must be from a product-based or scalable app-based start-ups company with experience handling large-scale production traffic.

2.   Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

3.   Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members at least)

4.   Own end-to-end infrastructure right from non-prod to prod environment including self-managed

5.   Candidate must have Self experience in database migration from scratch 

6.   Must have a firm hold on the container orchestration tool Kubernetes

7.   Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

8.   Understanding programming languages like GO/Python, and Java

9.   Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

10.   Working experience on Cloud platform -AWS

11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation.

Description

Job Summary:

As a DevOps Engineer at company, you will be working on building and operating infrastructure at scale, designing and implementing a variety of tools to enable product teams to build and deploy their services independently, improving observability across the board, and designing for security, resiliency, availability, and stability. If the prospect of ensuring system reliability at scale and exploring cutting-edge technology to solve problems, excites you, then this is your fit.

Job Responsibilities:

● Own end-to-end infrastructure right from non-prod to prod environment including self-managed DBs

● Codify our infrastructure

● Do what it takes to keep the uptime above 99.99%

● Understand the bigger picture and sail through the ambiguities

● Scale technology considering cost and observability and manage end-to-end processes

● Understand DevOps philosophy and evangelize the principles across the organization

● Strong communication and collaboration skills to break down the silos

Job Requirements:

● B.Tech. / B.E. degree in Computer Science or equivalent software engineering degree/experience

● Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant

● Must have a firm hold on the container orchestration tool Kubernetes

● Must have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet

● Strong problem-solving skills, and ability to write scripts using any scripting language

● Understanding programming languages like GO/Python, and Java

● Comfortable working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.

What’s there for you?

Company’s team handles everything – infra, tooling, and self-manages a bunch of databases, such as

● 150+ microservices with event-driven architecture across different tech stacks Golang/ java/ node

● More than 100,000 Request per second on our edge gateways

● ~20,000 events per second on self-managed Kafka

● 100s of TB of data on self-managed databases

● 100s of real-time continuous deployment to production

● Self-managed infra supporting

● 100% OSS

• Configure assets as per their compliance applications.
• Does Hardware and software related troubleshooting.
• Addressing Application related concerns via a remote tool
• Address escalation and priority concerns (VIP users) 
• Trouble shooting on all kind of desktop calls. 
• Configuring network services such as LAN. Win proxy & DNS services. 
• Installation & Troubleshooting of printer calls. 
• Configuration of MS Outlook, Outlook Express & solving related problems on user systems.  
• Installing & configuring different Windows based Application Software’s. 
• Configuring and troubleshooting for RDP.  
• Installing & configuring client system to the domain. 
• Installing, Configuring, Monitoring & troubleshooting network printers & solving related problems on user systems. 
• User profile management. 
• Remote configuring enables the Remote Desktop on the host PC and add/enable Remote Desktop users. 

This is a Contract Based role only

Not a "Fulltime opportunity"

Role Summary:

The Robotics Process Automation Senior Developer is responsible for designing and coding the automation process components. The RPA Senior developer develops the automation design to ensure it meets the specifications. The design must handle concurrency, scalability, restart and recovery, auditing & object reuse for all the automations that are designed and developed. The senor developer will also validate the automation by performing appropriate unit testing, and ensure configuration control is maintained at all times. The senior developer mentors junior developers and performs QC checks on code components developed by them.

DUTIES / ACCOUNTABILITIES

Responsibilities include, but may not be restricted to:

• Design technical specifications for RPA that meets the requirements and handled all the non functional requirements of concurrency, scalability, security requirements, restart and recovery.
• Develops and configures automation processes as per the technical design document to meet the defined requirements. Works on the coding the more complicated automations or reusable components, and delegates and mentors junior developers for the less complex components.
• Develops new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.
• Complies with and helps to enforce design and coding standards, policies and procedures.
• Ensures documentation is well maintained.
• Ensures quality of coded components by performing thorough unit testing.
• Works collaboratively with test teams during the Product test and UAT phases to fix assigned bugs with quality.
• Reports status, issues and risks to tech leads on a regular basis
• Improves skills in automation products by completing automation certification.
• Mentors junior developers and performs code reviews for quality control.

Qualifications

EDUCATION

• Bachelor university degree in Engineering/Computer Science.

KEY SKILLS

•  5- 8 years of IT experience and having good understanding of programming concepts.  Should be from a programming background on any coding language (.Net, Java).
• Working experience in RPA for a minimum of 2 years and having project experience of a minimum 3 RPA implementations.
• Understands development methodology and lifecycle
• Should be trained on RPA tools (Blue Prism/Automation Anywhere).
• Self-motivated, team player, action and results oriented.
• Well organized, good communication and reporting skills.

Desirable:

• Prior experience in UI automation, Robotics process automation is an added advantage.
• Certification in Robotics

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Skills:

• Experience in predictive modelling and predictive software development
• Skilled in Java, C++, Perl/Python (or similar scripting language)
• Experience in using R, Matlab, or any other statistical software
• Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
• Strong communication and data presentation skills

• Classification (svm, decision tree, random forest, neural network)
• Regression (linear, polynomial, logistic, etc)
• Classical Optimization(gradient descent, newton raphson, etc)
• Graph theory (network analytics)
• Heuristic optimisation (genetic algorithm, swarm theory)
• Deep learning (lstm, convolutional nn, recurrent nn)

Must Have:

• Experience: 3-9 years
• The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
• The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
• Preferred experience with large data sets & distributed computing in Hadoop ecosystem
• Fluency with databases