Lead Data Engineer

Role & Responsibilities

Extract insights from large datasets to support data-driven decision-making

Develop and automate routine dashboards for daily, weekly, and monthly KPI tracking

Conduct custom analyses to optimize user onboarding, activation, conversion, and retention funnels

Cohort users and track actual and predicted Lifetime Value (LTV)

Build forecast models and create meaningful alerts for business leaders

Collaborate with cross-functional teams to define short and long-term strategic focus areas

Provide actionable insights and recommendations to relevant teams

Create, standardize and maintain documentation frameworks and taxonomy across businesses

Ideal Candidate

Expertise in data analysis tools (SQL, Excel, Python, R), dashboard creation and visualization platforms (Tableau, Power BI among others) for effective reporting at various organizational levels

Excellent communication skills with the ability to influence stakeholders at all levels with the agility to work autonomously and collaboratively within a team environment

Proven ability to translate complex analytical concepts into clear, actionable insights for non-technical stakeholders

Strong background in statistical analysis and experimental design for robust hypothesis testing

Experience with A/B testing tools and methodologies in digital product environments

Skill in creating and maintaining comprehensive documentation systems

Job Description :

Role: Account Executive

Experience: 3 years to 4 yrs

CA Articleship is mandatory

Location: (Remote)

looking for only female candidate.

Role Description

Company Description

CNV Labs India Pvt. Ltd (iCloudEMS) is a market leader in cloud-based education management solutions, providing a unified digital platform to promote a learner-centric approach across India and UAE 2011, the company has focused on delivering innovative Outcome-Based Education (OBE) solutions to revolutionize global education systems. iCloudEMS empowers educational institutions by automating academic processes and enhancing efficiency. With a mission to streamline education management, the company is dedicated to addressing the needs of educators, students, and administrators through tailored digital platforms. iCloudEMS aims to expand its reach across Asia-Pacific, further supporting the diversity of educational needs in the region.

Role Description

This is a full-time remote role for an Account Executive at iCloudEMS. The Account Executive will actively manage client relationships, identify business opportunities, and develop strategies to meet sales targets. The role involves consulting with educational institutions, presenting tailored solutions, and negotiating contracts. Collaborating with cross-functional teams to ensure customer satisfaction and contributing to long-term client success will be a significant part of the responsibilities.

Key Skills & Competencies

• Strong knowledge of accounting standards (IND-AS), taxation, and audit controls.

• Experience in TDS, GST Returns, Tally ERP.

• Excellent analytical skills and command over financial reports.

• Proficiency in Tally, ERP systems, Excel, and financial software.

• Strong communication, leadership, and stakeholder management abilities.

Qualifications

• Proficiency in client relationship management, strong communication, and interpersonal skills.
• Sales expertise, including lead generation, negotiating, and closing deals.
• Strategic planning capabilities to identify and capitalize on new business opportunities.
• Understanding of the education technology domain and familiarity with education management systems.
• Ability to work independently and meet targets in a remote environment.
• Bachelor’s degree in Business, Marketing, or a related field is preferred.
• Prior experience in sales or account management in the Ed-Tech or IT industry is an advantage.

Industry

Software Development

Employment Type

Full-time

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

About the Role

We are seeking a highly skilled and motivated Senior Backend Developer with strong expertise in Node.js and AWS to join our dynamic team. The ideal candidate will have solid backend development experience, with additional working knowledge of PHP and Python. Exposure to frontend frameworks like React.js and Angular will be considered a strong advantage.

Key Responsibilities

• Design, develop, and maintain scalable backend systems and APIs using Node.js.

• Deploy, manage, and optimize applications on AWS cloud infrastructure.

• Collaborate with cross-functional teams (frontend, product, QA) to deliver end-to-end solutions.

• Ensure application performance, security, and scalability.

• Write clean, maintainable, and testable code following industry best practices.

• Work with databases (SQL/NoSQL) to design efficient data models and queries.

• Integrate third-party services and APIs when required.

• Contribute to code reviews, technical discussions, and mentoring of junior developers.

• Support continuous integration and deployment pipelines.

• Troubleshoot, debug, and optimize existing applications.

Requirements

• 4+ years of backend development experience.

• Strong expertise in Node.js and hands-on experience with AWS services (EC2, S3, Lambda, etc.).

• Good working knowledge of PHP and Python.

• Strong understanding of RESTful API design, microservices architecture, and databases (MySQL, PostgreSQL, or MongoDB).

• Working knowledge of React.js and Angular is preferred.

Responsibilities Include:

• Translation of the UI/UX design wireframes to actual code that will produce visual elements of custom analytics products and wide web applications
• Will work with the R&D and Analytics team to bridge the gap between graphical design and technical implementation
• Take an active role on both sides and defining how the application looks as well as how it works

Ideal Candidate

• Experience with JavaScript, TypeScript, HTML, and CSS
• Experience developing new user-facing features
• Strong working knowledge of front-end frameworks (Angular 2+ versions)
•  
• Experience building reusable code and libraries for future use
• Ensuring the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Assure that all user input is validated before submitting to back-end
• Collaborate with other team members and stakeholders

Desired Skills:

• Experience leveraging data analysis to construct strategic narrative
• Excellent problem-solving/analytical skills and ability to break down large complex concepts
• Knowledgeable in web standards and responsive design
• Strong UI/UX and design experience with the ability to simplify complex scenarios to the average user without losing functionality
• Knowledgeable in web standards and responsive design
• Familiarity with Agile project management principles
• Confidence to drive assignments to completion

Strong proficiency with one of the Vue.js, Angular JS, React JS JavaScript Techologies
2. Knowledge of Node.js and frameworks available for it , such as Express JS, Strong Loop, etc
3. Understanding the nature of asynchronous programming and Promises and its quirks and workarounds
4. Good understanding of server-side templating languages (such as Jade, EJS, etc depending on your technology stack)
5. Good understanding of server-side CSS pre-processors such as Styles, Less
6. Basic understanding of front-end technologies, such as HTML5, CSS3, and Bootstrap
7. Understanding accessibility and security compliance
8. User authentication and authorization between multiple systems(Internal or Third party), servers, and environments
9. Integration of multiple data sources and databases into one system
10. Understanding fundamental design principles behind a scalable application
11. Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
12. Implementing automated testing platforms and unit tests
13. Proficient in code versioning tools, such as Git or TFS

Opportunity to work as a Technical lead.

Company : Splenta Systems Pvt Ltd

Job location : Bangalore

- As a Java Full-stack Engineer or as Java Back-end Developer, you will be responsible for designing and implementing Microservices based application workloads on cloud platform.

- You should have expertise in building/implementing Microservices solution components and be able to put them on cloud platform with necessary configurations.

Top Skills : Java, Spring Boot, Spring Cloud, Microservices Architecture & API Design, Cloud Deployment, DevOps CICD and TDD.

Responsibilities :

- Should be able to provide technical direction and be hands-on with implementation skills for build new age application workloads with proper design considerations and align with overall architecture goals.

- The implementation should meet both functional and non-functional requirements.

- Able to lead team and multitask across different role expectations seamlessly - developer, Tech Lead, Designer.

- Create and review design and implement solution artefacts

- Proactively provide guidance on engineering methodologies, standards and leading practices for the development team.

- Able to design and implement e2e testing while adopting TDD and setting up required tooling infrastructure for automation.

- To help technical team with any code difficulties and manage task distribution and delivery for assigned team members

- Assist in qualifying team members addition by conducting technical interveiew

Experience :

- 4-5 years of experience in application development and deployment,

- Good technical design skills, implementing complex solutions on cloud.

- Have application specific configurations and troubleshooting experience.

- Design and implementation experience in asynchronous applications - event based.

- Application implementation with REST APIs and message integration workflows.

- Ability to implement and analyze application diagnostics and telemetry both from application and from platform.

Team Collaboration must have :

- Customer-oriented, diligent, proactive, focused on achieving customer's business objectives as top priority.

- Able to work successfully both individually and as a team member.

- Easy-going, friendly, communicative, positive in relations with colleagues.

• 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.