Role - Lead (Technology & Data Cell)
Experience - 6+ years
Job Location - Aundh, Pune, Maharashtra
About our Client :-
Our client is a Communities Foundation that works in the area of skilling and livelihoods for underserved youths. This is a pioneering program with a strong PPP model, an agency-led approach to livelihoods and a vision of socio-economic transformation.
The Lead for Technology and Data consultant Cell has the opportunity to create and implement the vision for enabling the organization to serve 1 million youth by 2030 by using cutting-edge technology and data systems.
They will Tech enable organizational systems for effective operations, devise data solutions for effective decision making and strategic direction. They will closely work with the program teams to fully understand the
program landscape and implement technology solutions accordingly. Implementation would include being the single point of contact for the Software service provider, end to end back-end support and training of the users.
- Design and Implementation/upgradation of a Tech platform for the Livelihood program:
In collaboration with the Software service provider, an ERP system is being developed and is close to going-live. The responsibilities would include:
i) Understanding the business requirements w.r.t the platform
ii) Data migration: Migrating the legacy data on the platform in the required format whilst ensuring accuracy of the data
iii) End-user training across centers and central team: Hand Holding the team along with Service provider during go-Live and implementation
iv) Troubleshooting wherever required through constant updates and follow-up on system glitches and ensuring resolution with the support of Software service providers.
v) Monitoring of the system application across centers. Identifying required improvisations and suggesting the same.
vi) Coordinating with software service provider for changes and support required for smooth running of the application
vii) Managing and maintaining SMS/Email gateways, domain, servers etc.
viii) Meaningful data extraction and reporting.
ix) Establish Data systems: Establish protocol for data storage and data sharing.
i) Identify technology requirements for Donor management, HR management and all other areas as required.
- Data Analytics: Facilitate culture of data-driven decision making within the organization, including but not limited to, provision of relevant data analytics to the program team.
- Knowledge Management: Lead the overall knowledge management system for the organization and enable data to be available on cloud with a clear protocol for sharing and storage.
- Education: BE Computers
- Experience: Project management experience of 5+ years
- Data management skills Proven understanding the principles of data management and administration.
- IT and database skills Familiarity with modern databases and IT systems. - Candidates with a fair understanding of PHP and SQL databases would be preferred.
- Analytical skills
- Problem-solving skills
- Partnership management
- Excellent verbal and written communication skills.
Shubham Vishwakarma
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Implement GenAI use cases using LLMs
Perform complex data mining and apply statistical algorithms and ML techniques to derive actionable insights from large datasets.
Drive the development of scalable frameworks for automated insight generation, predictive modeling, and recommendation systems.
Work on impactful AI/ML use cases in Search & Personalization, SEO Optimization, Marketing Analytics, Supply Chain Forecasting, and Customer Experience.
Implement real-time model deployment and monitoring using tools like Kubeflow, Vertex AI, Airflow, PySpark, etc.
Collaborate with business and engineering teams to frame problems, identify data sources, build pipelines, and ensure production-readiness.
Maintain deep expertise in cloud ML architecture, model scalability, and performance tuning.
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Strong hands-on ML engineering (70% of the role) — supervised/unsupervised learning, clustering, regression, optimization.
Experience with real-world model deployment and scaling, not just notebooks or prototypes.
Good understanding of ML Ops, model lifecycle, and pipeline orchestration.
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SQL proficiency and experience querying large datasets.
Deep understanding of linear algebra, probability/statistics, Big-O, and scientific experimentation.
Cloud experience in GCP (preferred), AWS, or Azure.
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Hands-on experience with:
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Familiar with Airflow, PySpark, or other pipeline orchestration tools.
Experience reading/writing data from/to cloud services.
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4+ years of experience in data analytics and machine learning roles.
2+ years of experience in Python or similar programming languages (Java, Scala, Rust).
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Familiarity with advanced math – Graph Theory, PDEs, Optimization Theory.
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Full Stack Developer - Averlon