Impact Manager

iDream Education Pvt Ltd

Impact Manager

Unnati

Company

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Impact Manager

at iDream Education Pvt Ltd

Agency job

via Unnati

2 - 4 yrs

₹3L - ₹6L / yr

Delhi, Gurugram, Noida

Skills

Marketing Strategy

Analytical Skills

Project Management

Data management

Are you looking to work in the education sector and give your best to the growth of education in India? Then here is your chance.

Our client is a social education technology organisation delivering enjoyable & personalised digital learning to schools, NGOs, coaching institutes and learners including the last mile learners. They design, deliver and support tablet and mobile based digital learning solutions with English medium and local languages. Their vision is to facilitate access to enjoyable and life shaping digital learning to every student irrespective of their social, economic, cultural, locational and language status.

Founded by two MDI alumnus, it is a student centric and personalised learning platform that delivers enjoyable learning content as per the state boards. This ed-tech provides a solution which is easy to use, lets students enjoy learning, makes life easy for a teacher and delivers learning in the language that students are most comfortable. The organisation has worked in 14 states across India and awarded Google India under "Impacting Change through Digital".

As a Impact Manager, you will be responsible for impact tracking and reporting and take ownership of projects post implementation in collaboration with internal and external team members including the CSR and projects team members for admin/processes/reporting and planning works in our social sector projects.

What you will do:

Proactively working on reporting and analytics of our ongoing projects for best of impact outcomes
Preparing data for analysis including building repeatable and well-documented processes to create new analyses of data; conducting data analysis for our projects and development impact tracking and identifying patterns, questions, and areas for further analysis
Setting up reporting systems for all products to ensure best of transparency, focus on performance and value creation
Managing impact management processes across the organization with a clear timelines and schedule as well as active communication to internal and external stakeholders in an organized and dependable manner
Ensuring coordination between staff and stakeholders including dialogues, meetings, presentations as may be required to ensure successful, meaningful and impactful project delivery
Ensuring the Project operations team has an effective Impact management framework for creating and maintaining relationships with the community
Jointly focussing on growing the outreach and impact of our work in social edtech
Creating deep impact reports for every project using Excel, Word and PPT based on specific project deliverables, direct and indirect impact as required for each of the projects and creating collaterals, creatives, mailers and videos of progress, updates, storytelling on Impact to engage our stakeholders

Desired Candidate Profile

What you need to have:

Working knowledge of different approaches to program evaluation and assessment
Excellent writing skills and command over the English language
Strong analytical skills, ability to think laterally and detail oriented and with a high level of curiosity and interesting researching projects
Excellent documentation and reporting abilities to create informative and good reports and data sheets using Word, PPTs etc. along with Advanced Excel and data management skills
Proven track record of displaying a high degree of self-initiative
Ability to create videos and collaterals using images and short video clips

Are you looking to work in the education sector and give your best to the growth of education in India? Then here is your chance.

What you will do:

Proactively working on reporting and analytics of our ongoing projects for best of impact outcomes
Preparing data for analysis including building repeatable and well-documented processes to create new analyses of data; conducting data analysis for our projects and development impact tracking and identifying patterns, questions, and areas for further analysis
Setting up reporting systems for all products to ensure best of transparency, focus on performance and value creation
Managing impact management processes across the organization with a clear timelines and schedule as well as active communication to internal and external stakeholders in an organized and dependable manner
Ensuring coordination between staff and stakeholders including dialogues, meetings, presentations as may be required to ensure successful, meaningful and impactful project delivery
Ensuring the Project operations team has an effective Impact management framework for creating and maintaining relationships with the community
Jointly focussing on growing the outreach and impact of our work in social edtech
Creating deep impact reports for every project using Excel, Word and PPT based on specific project deliverables, direct and indirect impact as required for each of the projects and creating collaterals, creatives, mailers and videos of progress, updates, storytelling on Impact to engage our stakeholders

Desired Candidate Profile

What you need to have:

Working knowledge of different approaches to program evaluation and assessment
Excellent writing skills and command over the English language
Strong analytical skills, ability to think laterally and detail oriented and with a high level of curiosity and interesting researching projects
Excellent documentation and reporting abilities to create informative and good reports and data sheets using Word, PPTs etc. along with Advanced Excel and data management skills
Proven track record of displaying a high degree of self-initiative
Ability to create videos and collaterals using images and short video clips

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Location: Gurugram, Haryana

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Experience: 4-9 Years

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About Aaizel Tech

Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As a growing startup, we are looking for passionate and versatile professionals eager to work on cutting-edge projects in a dynamic environment.

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As a Senior AI/ML Engineer at Aaizel Tech, you will lead the design, development, and deployment of advanced Machine Learning models and AI solutions. You will work on projects ranging from predictive analytics and NLP to computer vision and anomaly detection. You will also mentor a team of AI/ML professionals, collaborate with cross-functional teams, and drive innovation by integrating state-of-the-art research with scalable production systems.

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Design & Implementation:

Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
Utilize advanced techniques including deep learning (CNNs, RNNs), reinforcement learning, and generative models (GANs) to address complex challenges.

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Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

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Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

MLOps & Lifecycle Management:

Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

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Cross-Functional Teamwork:

Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

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Recommended Technology Stack

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Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

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OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

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Technical Expertise:

Experience:
4+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
Programming & Frameworks:
Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
Experience with Hugging Face Transformers for NLP applications.
Data Engineering:
Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
Familiarity with big data platforms and real-time data processing frameworks.
Model Deployment & MLOps:
Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
Experience with cloud deployment and model serving solutions.
Research & Innovation:
Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
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Strong background in model evaluation, hyperparameter tuning, and performance optimization.

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Exceptional problem-solving and analytical abilities.
Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

Join Aaizel Tech as a Senior AI/ML Engineer and lead the development of innovative, scalable AI solutions that transform industries and drive digital excellence!

Job Title: Senior AI/ML Engineer/Team Lead

Location: Gurugram, Haryana

Employment Type: Full-Time

Experience: 4-9 Years

CTC: Up to 15LPA

About Aaizel Tech

Role Overview

Key Responsibilities

1. Model Development & Optimization

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Architect and develop end-to-end ML solutions for applications such as predictive analytics, anomaly detection, computer vision, and NLP.
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Optimization:

Fine-tune model parameters using techniques such as hyperparameter tuning (Grid Search, Bayesian Optimization, Neural Architecture Search).
Optimize models for both accuracy and inference speed to meet real-time processing requirements.

2. Advanced Data Engineering & Integration

Data Pipeline Development:

Build robust ETL pipelines using libraries like Pandas, NumPy, and PySpark to process large-scale datasets from satellite imagery, IoT sensors, and real-time streams.
Integrate data from diverse sources (APIs, databases, big data platforms like Hadoop and Apache Kafka) to support real-time analytics.

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Implement data cleansing, feature engineering, and transformation pipelines to ensure high-quality inputs for ML models.

3. Research & Innovation

Algorithm Research:

Conduct research on state-of-the-art ML techniques including Transfer Learning, Transformer models, and AutoML to enhance model performance.
Innovate new algorithms for specialized tasks such as geospatial analysis, environmental modeling, or cybersecurity threat detection.

Prototyping & Experimentation:

Develop proof-of-concept models and prototypes to validate new approaches before production deployment.

4. Deployment, MLOps & Performance Monitoring

Model Deployment:

Deploy models using containerization (Docker) and orchestration tools (Kubernetes) to ensure scalable and efficient production environments.
Work with cloud platforms (AWS, Azure, GCP) and model serving solutions (TensorFlow Serving, ONNX, TorchServe) for high-throughput inference.

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Implement CI/CD pipelines for ML models, ensuring seamless updates and versioning.
Develop monitoring dashboards (using Prometheus, Grafana) to track model performance and trigger retraining based on real-time feedback.

5. Collaboration & Leadership

Cross-Functional Teamwork:

Collaborate closely with data engineers, software developers, domain experts, and product managers to integrate AI solutions into end-to-end products.

Mentorship & Code Quality:

Provide technical leadership and mentorship to junior AI/ML engineers, ensuring adherence to coding standards and best practices.
Participate in code reviews, maintain detailed documentation, and foster a culture of continuous learning.

Recommended Technology Stack

Backend Framework:

Python (Django/FastAPI): Ideal for API integration, leveraging Python’s rich AI/ML ecosystem.

AI/ML Frameworks:

PyTorch + Hugging Face Transformers + scikit-learn: For flexibility in research, multilingual NLP tasks, and classical ML pipelines.

Data Engineering:

Apache Kafka + Apache Spark + Apache NiFi: To handle both real-time data streaming and batch processing.

Database & Storage:

PostgreSQL with TimescaleDB extension: For structured and time-series data storage.

DevOps & Monitoring:

Docker, Kubernetes, GitLab CI/CD, Prometheus/Grafana: For containerized deployments, continuous integration, and comprehensive monitoring.

Media Processing:

OpenCV, FFmpeg, Tesseract OCR, Wav2Vec2: To support image, video, and speech-to-text processing where needed.

Required Skills & Qualifications

Technical Expertise:

Experience:
4+ years in Machine Learning, AI research, or a related field with a proven track record of delivering production-level AI solutions.
Programming & Frameworks:
Expertise in Python and hands-on experience with frameworks like PyTorch, TensorFlow, and scikit-learn.
Experience with Hugging Face Transformers for NLP applications.
Data Engineering:
Proficiency in building data pipelines using Pandas, NumPy, PySpark, and integrating data from diverse sources.
Familiarity with big data platforms and real-time data processing frameworks.
Model Deployment & MLOps:
Hands-on experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
Experience with cloud deployment and model serving solutions.
Research & Innovation:
Demonstrated ability to apply advanced ML techniques (deep learning, transfer learning, reinforcement learning) to solve real-world problems.
Testing & Optimization:
Strong background in model evaluation, hyperparameter tuning, and performance optimization.

Soft Skills:

Exceptional problem-solving and analytical abilities.
Strong communication skills, with the ability to present complex technical concepts to diverse stakeholders.
Leadership and mentoring experience, with a collaborative approach to working in cross-functional teams.
Ability to thrive in a fast-paced, dynamic environment and drive continuous innovation.

Educational Background:

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field from a reputed institution.

What We Offer

Innovative Projects: Engage in cutting-edge AI/ML projects that influence product strategy and technological innovation.
Professional Growth: Opportunities for continuous learning, mentorship, and career advancement.
Collaborative Culture: Work within a diverse team of experts passionate about pushing the boundaries of technology.
Impactful Work: Play a key role in shaping AI-driven solutions and driving real-world impact.

Join Aaizel Tech as a Senior AI/ML Engineer and lead the development of innovative, scalable AI solutions that transform industries and drive digital excellence!

Director - Data Engineering

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Bengaluru (Bangalore), Mumbai, Pune

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Director - Data engineering

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Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

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As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

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Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
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Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
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Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
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Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
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Experience & Relevance

Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Director - Data engineering

What are we looking for

real solver?

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
Execution & Technical Resolution
Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
Quality Enforcement
Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

Functional Skills

1. Delivery Management & Operational Excellence

Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

Java Developer

at Mobile Programming LLC

1 video

34 recruiters

Posted by Pranay Chandra

Bengaluru (Bangalore)

4 - 9 yrs

₹6L - ₹15L / yr

Java

Spring Boot

Microservices

Multithreading

Java Developer

Hands-on experience in Software Development.
Hands-on experience in designing and developing applications using Java EE platforms.
Experience with test-driven Web Development.
Team Handling, Problem-solving, Work Ethics, and Creativity.
Communicate effectively with both business and technical stakeholders.
Experience in Java Technologies.
Proficient in Java and JEE internals
Working knowledge of Microservices.
Proficiency in Relational Databases, SQL and ORM technologies (Hibernate/DAO).
Working Knowledge of the Spring Framework & Multi- threading

Mandatory Skill Sets: Java, Spring, Spring boot, microservices, multi-threading
Experience: 4-8
Positions open: 6
Location: WFO Bangalore, Gurgaon

Regards,

Pranay Chandra

Mobile Programming LLC

Java Developer

Hands-on experience in Software Development.
Hands-on experience in designing and developing applications using Java EE platforms.
Experience with test-driven Web Development.
Team Handling, Problem-solving, Work Ethics, and Creativity.
Communicate effectively with both business and technical stakeholders.
Experience in Java Technologies.
Proficient in Java and JEE internals
Working knowledge of Microservices.
Proficiency in Relational Databases, SQL and ORM technologies (Hibernate/DAO).
Working Knowledge of the Spring Framework & Multi- threading

Mandatory Skill Sets: Java, Spring, Spring boot, microservices, multi-threading
Experience: 4-8
Positions open: 6
Location: WFO Bangalore, Gurgaon

Regards,

Pranay Chandra

Mobile Programming LLC

Backend Developer

at Tagalys

2 recruiters

Posted by Jewel John

Chennai

1 - 3 yrs

₹6L - ₹15L / yr

Ruby

Ruby on Rails (ROR)

NodeJS (Node.js)

Django

Express

+1 more

About Tagalys
Tagalys provides intelligent merchandising solutions to mid-sized e-commerce brands around the world, like LEGO, Fila, Crocs, Tink, Ana Luisa, Ritu Kumar, EQVVS, Lack of Color, and Apollo 247. Our products include category merchandising tools, search, recommendations, and a full analytics suite. Over the last three years, we have scaled from a two-person founding team to over 15 people. During this time, we’ve received amazing customer reviews on the quality of the product, and our customer support & success.

About the role
We are looking for a backend developer to help us execute our product roadmap faster. You will design, spec, develop, test, and deploy new features that can scale.

Your work could be related to:

Defining new merchandising or reporting functionality
Adding more advanced search capabilities
Improving scoring/recommendation models
eCommerce platform integrations/API implementations
Load testing/scaling features as we continuously grow
Something new. There are always interesting new challenges that come our way. Here are a couple of things we’ve worked on recently:
- Managing background jobs with competing performance goals like quick turnaround while staying within platform API limits
- Embedding and dynamically changing products in an email even after sending it
- Managing and coordinating multi data-center processes

Requirements

1-3 years of experience in Ruby On Rails (or a similar MVC framework like Express or Django). You are comfortable with Routes, Migrations, Models, Callbacks, Validations, and so on.
Ability to design clean, scalable data structures for new features.
A good understanding of design patterns so that complex processes are written in a maintainable way.
Knowledge of managing source code with Git.
Comfortable in a Linux OS.
Good communication skills, and ability to clearly plan and describe features before building.

Benefits

Challenging, exciting work, at scale
You get to understand the challenges our customers face first-hand, and collaboratively design and build amazing solutions that will be used by millions of shoppers through billions of API requests. There’s always something new and exciting to build.
Have a direct impact
Seven engineers currently build, refine, and scale the entire product. Working in a small team means you will have a say in the way the product is built, and your performance will have a direct impact on the company’s outcome.
Culture
Tagalys is a place for you to be yourself, enjoy your work, and achieve your potential. We love the energy that comes from working with smart people in a simple and welcoming environment. We design our workflow to make sure you are also able to focus on everything else in life that is important: family, friends, and health.
Benefits
You get great pay, coupled with flexible hours, a hybrid work model, and comprehensive insurance for your and your dependents. For the people contributing significantly, we also offer ESOPs so there is an opportunity to build wealth as you help the company grow.

Defining new merchandising or reporting functionality
Adding more advanced search capabilities
Improving scoring/recommendation models
eCommerce platform integrations/API implementations
Load testing/scaling features as we continuously grow
Something new. There are always interesting new challenges that come our way. Here are a couple of things we’ve worked on recently:
- Managing background jobs with competing performance goals like quick turnaround while staying within platform API limits
- Embedding and dynamically changing products in an email even after sending it
- Managing and coordinating multi data-center processes

Requirements

1-3 years of experience in Ruby On Rails (or a similar MVC framework like Express or Django). You are comfortable with Routes, Migrations, Models, Callbacks, Validations, and so on.
Ability to design clean, scalable data structures for new features.
A good understanding of design patterns so that complex processes are written in a maintainable way.
Knowledge of managing source code with Git.
Comfortable in a Linux OS.
Good communication skills, and ability to clearly plan and describe features before building.

Benefits

Challenging, exciting work, at scale
You get to understand the challenges our customers face first-hand, and collaboratively design and build amazing solutions that will be used by millions of shoppers through billions of API requests. There’s always something new and exciting to build.
Have a direct impact
Seven engineers currently build, refine, and scale the entire product. Working in a small team means you will have a say in the way the product is built, and your performance will have a direct impact on the company’s outcome.
Culture
Tagalys is a place for you to be yourself, enjoy your work, and achieve your potential. We love the energy that comes from working with smart people in a simple and welcoming environment. We design our workflow to make sure you are also able to focus on everything else in life that is important: family, friends, and health.
Benefits
You get great pay, coupled with flexible hours, a hybrid work model, and comprehensive insurance for your and your dependents. For the people contributing significantly, we also offer ESOPs so there is an opportunity to build wealth as you help the company grow.

Project Manager - Tech

at Leena AI

13 recruiters

Posted by Preethi Gothandam

Remote only

4 - 15 yrs

₹25L - ₹40L / yr

Project Management

IT project management

Project Manager

Systems Development Life Cycle (SDLC)

PMP

+2 more

Responsibilities:
• Expertise in spearheading IT projects and ensuring delivery of projects in compliance to the Cost, Schedule, Scope and Quality parameters.
• Ensure that all projects are delivered on time, within scope and within budget.
• Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
• Ability to Ensure resource availability and allocation to accomplish objectives.
• Handle multiple clients at the same time and working is a dynamic environment
• Discuss with business customer or client to define project scope, requirements and deliverables
• Perform requirements gathering and analysis to include business requirements, project features, current system integration and documentation, business process, development of implementation plans.
• Develop and implement test plans/scenarios to ensure successful delivery of a project.
• Develop Accurately determine, assign, track and manage project task, activity, documentation, time information per internal standards.
• Define communication plan for all stakeholders, get buy-in for status report format and communicate on defined frequency.
• Use appropriate verification techniques to manage changes in project scope, schedule and costs.
• Coordinate and integrates project activities, lead the team.
• Track project performance using appropriate KPIs, metrics, tools, and techniques.
• Solve team conflicts and problem, take corrective actions when problem arises.
• Lend support to various business and technology teams as necessary during project delivery.

Requirements:
• Thorough working knowledge of the SDLC/Agilemodels/methodologies/, HR systems (like SAP, Oracle, etc.)and their direct implementation to projects.
• Strong project management skills with software development projects
• Ability to apply common, object-oriented modelling techniques, including UML, use case, activity and sequence diagrams.
• Experience with requirements management, use case and modelling tools.
• Strong familiarity with project management software tools, methodologies, and best practices
• Must have 7+ years of total experience and at least 3-4 years of Project Management Experience
• Knowledge of Lean and Six Sigma is a plus
• PMP / PRINCE II certification is a plus.

Webmethod developer

Product repairing company(MNC)

Agency job

via WWWNEXTLEAPADVISORYCOM by Kanika Singal

Delhi, Gurugram, Noida, Ghaziabad, Faridabad

5 - 10 yrs

₹5L - ₹15L / yr

webMethods

XML

JSON

EDI

PIP

+2 more

Responsibilities:
ESSENTIAL DUTIES AND RESPONSIBILITIES
 Actively participate in the exchanging of ideas and information within the department
 Participate in rollout of new business system integrations.
 Serve as escalation point for system and troubleshooting issues, assist in resolving production issues.
 Participate in or lead solution design sessions.
 Ability to work effectively under pressure with changing priorities and tight deadlines
 Provide technical advice, code reviews and assistance to other programmers.
 Write complex integration solutions, optimized data extracts, updates and interfaces.
 Interface with functional specialists to ensure solution design and integrity.
 Devise sample input data to test accuracy of program.
 Observe or runs test of program using sample or actual data, assist in user acceptance training.
 Understand and embrace the global IT strategic direction
 Adhere to all safety and health rules and regulations associated with this position and as directed by
superior.
 Proactively organize verbal and written ideas clearly and use an appropriate business style
 Be effective and consistent in providing regular updates to appropriate managers
Communication:
 Ask questions; encourage input from team members
 Able to work with and participate within a small multicultural professional team.
 Provide regular updates to appropriate managers
 Confer with reporting manager on complex or unusual situations
 Maintain a thorough knowledge and in-depth field experience regarding emerging or job technologies
required to fulfill the job, this could include formal or self paced professional development. Participate in
the exchange of ideas and information within the department
 Offer new ideas and suggestions for improvement. Identify and implement new practices and
processes that are “best in field”

Requirements:
KNOWLEDGE REQUIREMENTS
 Experience in analysis, design, coding, and implementation of enterprise integration solutions.
 Experience with webMethods components: Integration Server, Broker, Trading Networks, and SAP
Adapter. webMethods 10.x version preferred.
 Experience with RosettaNet PIP’s and standards.
 Experience with EDI Standards (ANSI X12) and AS2 protocols
 Experience with XML/JSON and webservices (SOAP/REST).
 Experience with PL/SQL.
 Experience with FlatFile processing & SFTP
 General understanding of scalability and high-availability systems.
 Excellent communication/documentation skills
 Experience in system administration a plus.
 Experience with environment upgrading a plus (eg. version 9.X to 10.X)

EDUCATION & EXPERIENCE REQUIREMENTS
 B.E./B.Tech/M.Tech/MCA
 7 to 8 years experience in a relevant IT position OR equivalent external work experience
WORKING CONDITIONS
 Location: Nodia
 Travel requirements: Domestic and/or International, up to 10%.
 Climate controlled office environment during normal business hours.

React Native Developer

at Expertrons

1 video

10 recruiters

Posted by Shivani Talsaniya

Mumbai

2 - 8 yrs

₹5L - ₹18L / yr

React Native

Redux/Flux

Expertrons is India’s one of the world’s largest AI Videobot assisted platforms, focusing on providing a Career Transformation journey, is led by IITB alumni and second-time Ed-Tech entrepreneurs, Jatin Solanki(previously founded StepApp & EduIsFun) and Vivek Gupta (whose previous venture got acquired by a publicly listed company). Through this platform, we are connecting job-seeking aspirants with Industry leaders aka Experts, helping them gain career insights, to settle their career in their desired domains, from elite experts.

Recently Expertrons raised a funding of $2.3 Mn in the Pre Series A round witnessing investors like Yoga Capital, Venture Catalysts, Auxano Capital, and existing investors LetsVenture, Ivycap Ventures, Iceland Venture Studios, Nikhil Vora (MD, Sixth Sense), and more.

Website: https://www.google.com/url?q=https://www.expertrons.com/&;sa=D&source=editors&ust=1631950825698000&usg=AFQjCNFCoCaaD7frYki2BSeoIJzz6I2vPg">https://www.expertrons.com/
Expertrons Android App: https://www.google.com/url?q=http://bit.ly/expertrons&;sa=D&source=editors&ust=1631950825698000&usg=AFQjCNGr1Bo5eUtUIWjh4G8T4tsd6qX_5g">bit.ly/expertrons
Product Demo Video: https://www.google.com/url?q=https://bit.ly/3sFG0G1&;sa=D&source=editors&ust=1631950825698000&usg=AFQjCNF-iEhouSY9TgHhOv4AjmfF-cHuzw">https://bit.ly/3sFG0G1
Watch Explainer Video: https://www.google.com/url?q=https://bit.ly/3zeBmRM&;sa=D&source=editors&ust=1631950825698000&usg=AFQjCNEqsN64fIfiCnIUouVZaPpT2fyoog">https://bit.ly/3zeBmRM

Responsibilities and Duties
1. Build pixel-perfect, buttery smooth UIs across both mobile platforms
2. Strong knowledge of React workflows (such as Flux or Redux)
3. Implement clean, modern, smooth animations and transitions that provide an excellent user experience
4. Integrate third-party APIs
5. Release applications to IOS and Google Play stores
6. Ability to work through new and difficult React Native issues and contribute to libraries as needed
7. Ability to create and maintain continuous integration and delivery of React Native applications
8. Experience with code optimization and performance improvements
9. Experience in Mongo DB, Node JS, AWS is a plus
10. Strong knowledge of GIT

Required Skills:
1. Strong Algo/DS/Troubleshooting/Problem solving skills & analytical skills
2. Database - React Native, Redux, NOSQL, Redux Saga, Flux, Angular

You can apply for the position
1. Prefered available for full-time in-office employment (Office Location - Andheri, Mumbai)
2. Prefered work from office
3. Prefered Can join immediately.
4. Prefered a personal laptop
5. Have the relevant skills and interests

Rewards:
1. Entrepreneurial Exposure
2. Letter of Recommendation
3. Become a part of an elite group of innovators
4. ESOP opportunity based on Interview interaction
5. Grow up to 10X in 3 years

The idea is not to live forever, but to create something that will!

Be a part of our growing team and climb up the ladder of success. So, if you have the expertise, skills, quirks that can help you add value to Expertrons, then apply with us, now!

Let's explore synergies foreseeing 10X+ growth in our converging paths!

Fullstack Developer

at Svahaa

1 recruiter

Posted by Sohil Karia

Remote, Mumbai

3 - 6 yrs

₹6L - ₹8L / yr

Javascript

Fullstack Developer

React.js

NodeJS (Node.js)

A fullstack developer who can work with API's, documentation, frontend and backend and lead the product development

Engineering Head

at LoveLocal formerly mPaani

1 recruiter

Posted by Ankit Sakhuja

Mumbai, Bengaluru (Bangalore)

8 - 10 yrs

₹35L - ₹45L / yr

Engineering Management

Engineering Manager

Engineering head

Technical Architecture

Technical lead

+8 more

Key Responsibilities

Lead and inspire high-performing engineering teams to build and scale highly reliable, secure and responsive architecture for all LoveLocal products
Build highly Scalable platforms using Python, ReactJS, NodeJS, Kafka, Distributed Caching, SQL and No SQL Databases
Take full ownership of the people related aspects of the Engineering team engagement, recruiting, retention, compensation, promotions, individual performance management and organizational structure
Should be actively involved in hunting and recruiting new talent
Manage the engineering pipeline at all levels from planning the product implementation with the developers, distributing and managing work of the engineering team and ensure code quality across products and services
Should continuously plan and build for increasing scale of the product and ensure full hygiene of the tech infrastructure and code sanity
Should be the primary point of contact of functional heads for all tech dependencies
Take ownership of overall tech budget, reviewing expenses and planning for future costs
Work closely with CTO and Product Head on the Tech roadmap of the organisation
Become an integral part of the core team and be strongly aligned with the mission and values of the company

Main Qualifications

8+ years of experience in Software Development with end-end implementation of products (Preferably in a product driven organisation)
Minimum 3 years of experience leading a team of at least 15 developers, either as an EM or a Tech Lead
Should have worked in a well scaled and fast paced working environment (Startups beyond Series B or a major tech organisation)
Comfortable handling multiple competing priorities in a fast-paced environment.
Well versed with cloud computing and infrastructure management AWS / GCP
Has worked extensively on designing and implementing Microservices architecture
Should have experience working with NoSQL data stores such as MongoDb, Cassandra, HBase, DynamoDB, etc.
Should have experience working with Big Data streaming services such as Kinesis, Kafka, RabbitMQ etc
Should be highly skilled in Python and have solid exposure to JavaScript
Should have solid exposure to Web development and have had familiarity working with Android and IOS engineers
Excellent understanding of software engineering practices and Design Patterns
A Bachelors or Masters in Computer Science or equivalent engineering degree from top engineering institutes.

Key Responsibilities

Lead and inspire high-performing engineering teams to build and scale highly reliable, secure and responsive architecture for all LoveLocal products
Build highly Scalable platforms using Python, ReactJS, NodeJS, Kafka, Distributed Caching, SQL and No SQL Databases
Take full ownership of the people related aspects of the Engineering team engagement, recruiting, retention, compensation, promotions, individual performance management and organizational structure
Should be actively involved in hunting and recruiting new talent
Manage the engineering pipeline at all levels from planning the product implementation with the developers, distributing and managing work of the engineering team and ensure code quality across products and services
Should continuously plan and build for increasing scale of the product and ensure full hygiene of the tech infrastructure and code sanity
Should be the primary point of contact of functional heads for all tech dependencies
Take ownership of overall tech budget, reviewing expenses and planning for future costs
Work closely with CTO and Product Head on the Tech roadmap of the organisation
Become an integral part of the core team and be strongly aligned with the mission and values of the company

Main Qualifications

8+ years of experience in Software Development with end-end implementation of products (Preferably in a product driven organisation)
Minimum 3 years of experience leading a team of at least 15 developers, either as an EM or a Tech Lead
Should have worked in a well scaled and fast paced working environment (Startups beyond Series B or a major tech organisation)
Comfortable handling multiple competing priorities in a fast-paced environment.
Well versed with cloud computing and infrastructure management AWS / GCP
Has worked extensively on designing and implementing Microservices architecture
Should have experience working with NoSQL data stores such as MongoDb, Cassandra, HBase, DynamoDB, etc.
Should have experience working with Big Data streaming services such as Kinesis, Kafka, RabbitMQ etc
Should be highly skilled in Python and have solid exposure to JavaScript
Should have solid exposure to Web development and have had familiarity working with Android and IOS engineers
Excellent understanding of software engineering practices and Design Patterns
A Bachelors or Masters in Computer Science or equivalent engineering degree from top engineering institutes.

Sales Executive

at uFaber Edutech

6 recruiters

Posted by Samriddhi Garg

Mumbai

0 - 3 yrs

₹2L - ₹3L / yr

Sales

Business Development

Telesales

Marketing

Product Marketing

*Marketing and selling the courses from our catalog to potential customers via emails, whatsapp or calls. *To work on projects to increase brand's social media presence. *To work on projects pertaining to marketing activities for the brand. *To engage with the strategy team and take active part in product evolution and future business scaling and sales. *Maintain Relations with the prospects. *Candidate will be required to understand the customer and figure out customer patterns. *Candidate will be working with the marketing team closely regarding lead generation and marketing patterns. *Developing customized targeted sales strategies. *Creating and maintaining a list/database of prospect clients.

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