
Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)
Salary: Competitive as per Industry Standard
We are expanding our Data Engineering Team and hiring passionate professionals with extensive
knowledge and experience in building and managing large enterprise data and analytics platforms. We
are looking for creative individuals with strong programming skills, who can understand complex
business and architectural problems and develop solutions. The individual will work closely with the rest
of our data engineering and data science team in implementing and managing Scalable Smart Data
Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale
Processing Clusters, Data Mining and Search Engines.
What You’ll Need:
- 3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal
Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied
data types.
- Proficiency in Python, Linux and shell scripting.
- Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
● Strong experience in developing the infrastructure required for data ingestion, optimal
extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory, Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).
- Working knowledge of github or other version control tools.
- Experience with creating Restful web services and API platforms.
- Work with data science and infrastructure team members to implement practical machine
learning solutions and pipelines in production.
- Experience with cloud providers like Azure/AWS/GCP.
- Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
- Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
- Strong analytic skills related to working with unstructured datasets.
Good to have (to filter or prioritize candidates)
- Experience with testing libraries such as pytest for writing unit-tests for the developed code.
- Knowledge of Machine Learning algorithms and libraries would be good to have,
implementation experience would be an added advantage.
- Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
- Knowledge of Azure functions , Elastic search etc will be good to have.
- Having experience with model versioning (mlflow) and data versioning will be beneficial
- Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.

About Scry AI
About
Scry AI invents, designs, and develops cutting-edge technology-based Enterprise solutions powered by Machine Learning, Natural Language Processing, Big Data, and Computer Vision.
Scry AI is an R&D organization leading innovation in business automation technology and has been helping companies and businesses transform how they work.
Catering to core industries like Fintech, Healthcare, Communication, Mobility, and Smart Cities, Scry has invested heavily in R&D to build cutting-edge product suites that address challenges and roadblocks that plague traditional business environments.
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We are looking for a dynamic and experienced Project Manager to lead and execute end-to-end waste management projects with a strong emphasis on Extended Producer Responsibility (EPR) compliance. The ideal candidate will have a robust understanding of waste management operations, regulatory frameworks, and project lifecycle management—from planning to execution and closure.
Key Responsibilities:
- Lead and manage full project lifecycle for waste management initiatives, from scoping and planning to execution, monitoring, and closure.
- Ensure all project activities align with EPR guidelines and sustainability goals.
- Collaborate with internal teams (compliance, operations, logistics) and external stakeholders (producers, recyclers, regulatory authorities).
- Prepare and manage project budgets, timelines, and resource allocations.
- Develop EPR compliance strategies and documentation including take-back schemes, recycling targets, and reporting.
- Monitor regulatory changes and ensure ongoing compliance with local and national EPR regulations.
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- Implement KPIs to measure environmental impact and project efficiency.
Requirements:
- MBA is mandatory (Operations, Sustainability, or Project Management preferred).
- 5–8 years of project management experience, preferably in waste management, sustainability, or environmental services.
- Proven experience managing EPR-related projects (plastic waste, e-waste, packaging, etc.).
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- Proficient in project management tools (MS Project, Trello, Asana, or similar).
- Excellent leadership, communication, and stakeholder management skills.
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CA+GST compliance is mandatory
1.Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep
learning
frameworks like Tensorflow, Theano, Keras, Pytorch
2. Proficiency with modern statistical modeling (regression, boosting trees, random forests,
etc.),
machine learning (text mining, neural network, NLP, etc.), optimization (linear
optimization,
nonlinear optimization, stochastic optimization, etc.) methodologies.
3. Build complex predictive models using ML and DL techniques with production quality
code and jointly
own complex data science workflows with the Data Engineering team.
4. Familiar with modern data analytics architecture and data engineering technologies
(SQL and No-SQL databases)
5. Knowledge of REST APIs and Web Services
6. Experience with Python, R, sh/bash
Required Skills (Non-Technical):-
1. Fluent in English Communication (Spoken and verbal)
2. Should be a team player
3. Should have a learning aptitude
4. Detail-oriented, analytical and inquisitive
5. Ability to work independently and with others
6. Extremely organized with strong time-management skills
7. Problem Solving & Critical Thinking
Required Experience Level :- Senior level- 4+Years
Work Location : Pune preferred, Remote option available
Work Timing : 2:30 PM to 11:30 PM IST
iNFX is a set of micro-services that (mainly) will run on our embedded Linux devices – our payment terminals and edge devices. The purpose is to provide key software building blocks for the things our customers need to do on their retail sites – like processing payments, integrating with devices on the forecourt (petrol dispensers, EV chargers, Tank gauges, price signs), running the workflow on payment terminals and providing for mobile payments & customer engagement.
The team we are looking for would be working on the C++ based microservices. Experience with payments processing would be very beneficial.
While we ideally want C++ developers, it is important to note this is Application development rather than traditional “embedded” development. We want people who understand APIs, protocols, and ideally payments. Ideally having worked with Linux, although Kernel driver development experience is not so important. Neither is bare-metal / low-level firmware experience. The software is also intended to be portable to Windows environments - so experience in cross platform development is important.
No need to target Assembler skills for the Application Engineer, good C++ & Linux Application development skillsets are important but experience in the payment domain is an truly an advantage some of payment domain experience/expertise would be - understanding of ISO8583 type messaging, payment transaction types, payment software development exposure, EMV understanding, Payments security and certification etc
|
Job Title |
Sr. Salesforce Developer |
|
Qualification |
Graduate ( Any technical) |
|
Experience |
8-10 yrs. |
|
Experience required / job role |
|
|
Additional Preferences or certifications |
Certified as Salesforce platform developer and actively renewing. |
|
Soft skills required |
Good communication skills, client facing experience. |
|
Notice period |
Immediate to 30 days of notice |
|
Shifts |
12pm to 9pm. Flexibility with timings as we are supporting US-based clients and there are deployments during non-business hours and weekends |
Skills
SALESFORCE PLATFORM, salesforce, lightning, SOQL, apex, SOSL, Pardot
· 2-6 years of proven software development experience and proven working experience in Android app development
· Having published at least one original Android app is a definite plus
· Experience with Android SDK (experience in AndroidTV framework will be a plus)
· Experience working with remote data via REST and JSON
· Experience with third-party libraries and APIs
· Experience with networking technologies
· Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
· Solid understanding of the full mobile development life cycle.
Job Description
We are looking for applicants who have a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research. The candidate will collaborate with researchers and engineers of multiple disciplines within Ideapoke, in particular with researchers in data collection and development teams to develop advanced data analytics solutions. Work with massive amounts of data collected from various sources.-4 to 5 years of academic or professional experience in Artificial Intelligence and Data Analytics, Machine Learning, Natural Language Processing/Text mining or related field.
-Technical ability and hands on expertise in Python, R, XML parsing, Big Data, NoSQL and SQL








