
6+ Years of development in Database technologies preferably DB2, Sybase or Oracle.
Python Scripting, Database/SQL, Databricks/Cloud experience
Strong understanding of RDBMS databases, JDBC, and database access technologies (Sybase, DB2 preferred but not required).
Strong SQL and database programming skills; including creating Views, Stored Procedures, Triggers, implementing Referential Integrity.
Experience with Database concepts, Data Analysis, Database Design, Data Warehousing concepts and working knowledge of Dimensional Modelling.
Excellent problem solving skills & good communication skills.
Willingness to take lead, own & drive things end to end independently
Desired Skills.
Knowledge of Financial domain.
Scripting languages like Perl, Python.
Prior knowledge of working in Agile model

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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Responsibilities
- Responsible for managing and driving a team of Virtual Relationship Managers (VRM) handling a portfolio of eligible customers in order to achieve the targets set and that all guidelines and regulatory requirements are followed. Ensuring that customers get world-class services and their needs are understood and met through financial products that the Bank has to offer.
- Consistently meet portfolio objectives defined Viz. sales, income, group product holding etc.
- Ensure adherence to Operations process aimed at zero defect transaction processing & meeting the Audit & Compliance guidelines.
- Responsible for managing, training and motivating staff.
- All of the above parameters are consistently met by the team of VRMs.
- Income generation through the right blend of enhancement of CASA balance and cross-sell of appropriate products So that the VRM becomes the top of the mind recall amongst the customers in the catchment for all their financial needs and services, thereby ensuring that the VRMs also achieves the key performance parameters set 8. The team Manager leads a team of VRM (Virtual Relationship Manager) and is directly responsible for the performance of team members leading to the fulfilment of Business objectives.
- Monitoring and tracking the VRMs on revenue generation, product penetration, digital penetration, and liability growth and ensuring that the required product mix is maintained at the resource level to achieve the targeted number.
- The team Manager will be responsible for Sales Management through leads generated for a set of products from a fixed non-managed customer with the express objective of achieving business targets and efficiency targets related to outbound database calling management.
Requirements
- Bachelor's degree or equivalent experience.
- Minimum 4 years of team lead experience.
- Candidate should have a banking or voice process background.
- Willing to work from the office
Primary Responsibilities
- Understand current state architecture, including pain points.
- Create and document future state architectural options to address specific issues or initiatives using Machine Learning.
- Innovate and scale architectural best practices around building and operating ML workloads by collaborating with stakeholders across the organization.
- Develop CI/CD & ML pipelines that help to achieve end-to-end ML model development lifecycle from data preparation and feature engineering to model deployment and retraining.
- Provide recommendations around security, cost, performance, reliability, and operational efficiency and implement them
- Provide thought leadership around the use of industry standard tools and models (including commercially available models and tools) by leveraging experience and current industry trends.
- Collaborate with the Enterprise Architect, consulting partners and client IT team as warranted to establish and implement strategic initiatives.
- Make recommendations and assess proposals for optimization.
- Identify operational issues and recommend and implement strategies to resolve problems.
Must have:
- 3+ years of experience in developing CI/CD & ML pipelines for end-to-end ML model/workloads development
- Strong knowledge in ML operations and DevOps workflows and tools such as Git, AWS CodeBuild & CodePipeline, Jenkins, AWS CloudFormation, and others
- Background in ML algorithm development, AI/ML Platforms, Deep Learning, ML Operations in the cloud environment.
- Strong programming skillset with high proficiency in Python, R, etc.
- Strong knowledge of AWS cloud and its technologies such as S3, Redshift, Athena, Glue, SageMaker etc.
- Working knowledge of databases, data warehouses, data preparation and integration tools, along with big data parallel processing layers such as Apache Spark or Hadoop
- Knowledge of pure and applied math, ML and DL frameworks, and ML techniques, such as random forest and neural networks
- Ability to collaborate with Data scientist, Data Engineers, Leaders, and other IT teams
- Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines.
- Willing to flex daily work schedule to allow for time-zone differences for global team communications
- Strong interpersonal and communication skills
About Makers' Muse
Makers’ Muse is a leading and fast-growing EdTech organization on a mission to transform K–12 education through hands-on STEM and future skills learning. We empower schools with cutting-edge solutions like Robotics, Coding, AI, 3D Printing, Drones, and Design Thinking, making learning interactive, gamified, and practical. With successful partnerships across multiple states, our solutions are already making a difference in over 300+ schools. Our passionate team works across functions like content, product, sales, and tech — collaborating to deliver real-world skills to students and educators.
Key Responsibilities:
1.Working with school kids and teaching them subjects like block coding, Python, Robotics,3D printing, Electronics, Drones, etc.
2.Creating & maintaining tech and official documents as required.
3.Conducting engaging events and preparing students for competitions.
4.Developing innovative education resources for school students.
5.Guiding and mentoring students, designing engaging workshops, and fostering a creative learning environment.
6.Conducting virtual sessions.
7.Conducting training sessions for junior team members
8.Managing team at school
9.Coordinating with school management to full fill organisation goals
Assisting seniors in their work.
Qualifications:
Must have requirement
1.Atleast 6 months of experience in teaching school-going students.
Foundational experience of working on basic electronics, Arduino & other microcontroller etc..
2.Should possess a well-functioning laptop.
Optional/Preferred
1.Freshers with relevant skills & prior experience teaching school students are encouraged to apply
2.People with teaching passion & relevant skills are encouraged to apply
3.Prior teaching experience in a similar subject will be an added advantage.
4.Good proficiency in English communication will be an added advantage.
Compensation and Location
Salary: Upto 3lpa
Location: Udaipur
Working hours: 8am to 5pm (Monday to Saturday)
Perks & Benefits:
We offer 24 paid leaves annually, ensuring a healthy work-life balance. Enjoy double overtime pay for extra hours, rewarding annual bonuses along with provident Fund (PF) benefits for financial security. Join a positive and growth oriented work environment where your efforts are valued and rewarded.
How to Apply:
Interested candidates are encouraged to apply by sending their resume and a cover letter here, with the subject line "School Robotics Trainer, Udaipur Application - [Your Name].
In 2020, Renew Power, India’s largest renewables developer, acquired Climate Connect. Following ReNew’s listing on NASDAQ in summer 2021, Climate Connect has become the technology anchor of a new fully independent subsidiary - Climate Connect Digital. With backing from ReNew as the anchor investor to pursue an ambitious and visionary new strategy for rapid organic and inorganic growth.
Our mission has technology at its core and involves unlocking value through intelligent software, digitalisation, and ‘horizontal integration’ across the energy ecosystem. However, computational power and machine learning in the energy sector have yet to be fully leveraged and can create massive value.
We are looking for people with knowledge of:
● Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
● Demonstrated history of knowledge in Computer Science, Statistics, Mathematics, Software Engineering or related technical fields
● Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data
● Extensive experience with Python and SQL for software development, data analysis, and machine learning
● Experience on Libraries: TensorFlow, Keras, Numpy, sklearn, pandas, scikit-image, matplotlib, Jupyter, Statsmodels
● Experience on Time Series analysis, including EDA, Statistical inferences, ARIMA, GARCH
● Knowledge of Cluster Analysis, Classification Trees, Discriminant Analysis, Neural Networks, Deep Learning, Logistic Regression, Associations Analysis
● Hands-on experience in implementing Deep learning models with video and time series data (CNN, LSTM- s, Aotoencoder, RBM)
● Experience of Regression, Multicriteria Decision Making, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics
● Aptitude and experience in applied statistics and machine learning techniques
● Firm grasp of visualization tools interactive and self-serving such as business intelligence and notebooks
● Experience launching production-quality machine learning models at scale e.g. dataset construction, preprocessing, deployment, monitoring, quality assurance
● Experience with math programming is an added advantage. For example: optimization, computational geometry, numerical linear algebra, etc.
What you’ll work on:
We are developing a marketing automation platform through which an electricity retailer may apply a suite of proprietary ML algorithms to optimize outcomes across a range of channels and touchpoints. We require the services of a data science professional who can design and implement various AI/ML models that optimize the performance, quality, and reliability of the product. This position offers a potential pathway to leading an entire ML expert team. These are a few things you can look forward to working on:
● Translating high-level problems and key objectives into granular model requirements.
● Defining acceptance criteria that are well structured, detailed, and comprehensive.
● Developing and testing algorithms using our price forecasts, and customers' energy portfolio.
● Collaborating with the software engineering team in deploying the developed models tailored to specific customer needs.
● Participating in the software development process, and doing the required testing, and debugging to support the deployed models.
● Taking responsibility for ensuring tracking of appropriate events/metrics, so that monitoring is timely and rigorous.
● Driving the response to the discovery of regressions or failures, by undertaking various exercises (e.g. debugging, RCA, etc.) as needed
Experience:
● 6-11 years of experience in the field of Data Sciences or Machine Learning Qualifications:
● B.E / B. Tech / M. Tech / PhD in CS/IT or Data Sciences
What’s in it for you
We offer competitive salaries based on prevailing market rates. In addition to your introductory package, you can expect to receive the following benefits:
Flexible working hours
Unlimited annual leaves
Learning and development budget
Medical insurance/Term insurance, Gratuity benefits over and above the salaries
Access to industry and domain thought leaders
At Climate Connect Digital, you get a rare opportunity to join an established company at the early stages of a significant and well-backed global growth push.
Link to apply - https://climateconnect.digital/careers/?jobId=gaG9dgeTYBvF
SDET (Software Development Engineer in Test)
Grounds up build REST API automation framework using best in class open source, cloud technologies. Help build automaton first Quality culture in a fast growing product team. The ideal candidate is a self-starter and operates with a high sense of ownership.
What you will do:
- Author extensible, manageable REST API automation suite.
- Works closely with the Development team to release high quality, predictable releases.
- Develop detailed understanding of overall product architecture, engage at design time to access Automation and Test environment impact.
- Build Test plans, create prioritized regression suites.
Experience Range:
You have 2 - 4 years of proven automation and quality assurance experience with any product.
Technical Expertise:
- Strong hands on programming experience in either Java or Python.
- Deep understanding of REST APIs, have built Test Suites validating product functionalities using API automation frameworks like tavern, postman etc.
- Good to have an understanding of the AWS/Mobile App Automation. environment. ALBs, VPCs, IAM roles.
- Understanding of Docker is nice to have.
- Good understanding of Object oriented concepts.
- 8+ years of experience in software development
- 4+ years of recent hands-on experience in architecting and building complex solutions that run in SaaS/PaaS environments, especially on AWS cloud leveraging SaaS based Microservices development coupled with Distributed Caching & Message Queuing.
- Should have experience in developing solution architecture and/or evaluate architectural alternatives for private, public and hybrid cloud models, including IaaS, PaaS, and other cloud services
- Should have excellent knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability)
- Should have experience with Full Stack development with experience in technology stacks/frameworks like JAVA, Springboot, Python, Redis, SQL, NoSQL and Graph DBs
- Good to have Architected solutions that handle Big Data and should be proficient in data analytics
- Must have Expert level proficiency in Design / Architectural patterns, data structures and algorithms
- Must demonstrate knowledge of DevOps tool chains and processes
- Experience in web-based application migration from on-premise to SaaS model is a big plus.
- Experience of Integration patterns and associated best practice(e.g. Web Services, REST API's, Pub/Sub, MOM)
- Excellent knowledge and hands-on experience in Web services related, functionally decomposed architecture, Load Balancing of Web Services and applications, designing multi-tenant systems, Clustering and sharding of data, microservices architecture / design patterns, and throttling and performance management of such services
Key Skill Set
- 4- 5 years of experience in a role directly responsible for campaign planning, execution, optimization and reporting across multiple digital channels/media.
- Demonstrable experience managing SEM, display, email marketing, SMM campaigns.
- Highly creative with experience in identifying target audiences and devising digital campaigns that engage, inform and motivate.
- Hands on experience of CRO tools such as Salesforce Marketing Cloud, WebEngage, CleverTap, MoEngage etc.
- Working knowledge of CRM tools such as Salesforce, Leadsqaured etc. would be a Plus.
- Understanding of data analysis, trend spotting and technology in Digital space.
- Strong written & verbal communication skills.
- Skilled in problem solving, planning, as well as being able to adapt to new environments.
Key Responsibility Areas:
- Plan and outline cross channel digital marketing and remarketing campaigns, aligned to expected performance and returns.
- Should be updated with the ongoing marketing trends and capable to implement the changes in the system.
- Work on digital marketing platforms to execute campaign in the most efficient manner. Re-marketing campaigns in specific.
- Awareness about various content marketing platforms of the Market Research Industry.
- Experiment, scout and implement new digital marketing channels, tools, best practices to consistently improve ROIs.
- Work closely with the Sales & Product Teams and execute campaigns to meet business objectives.
- Monitor impact of each campaign on key site metrics and report to stakeholders, on a regular basis.










