Data Network Engineer

Interested people Fill Form: https://forms.gle/vueTYZgrujGnrNEM8

Salary : 12k base + 3k bonus

🚀 *Join Our Team: Full-Time Android Developer with Flutter Experience*

*Company: MemoNeet*

MemoNeet, a leading Edtech Startup with over *900K+ downloads* for NEET exam preparation about to reach Million Users, is on a mission to empower students through innovative technology. We're seeking a talented and passionate *Android Developer* to join our core team. If you have a strong foundation in Android development and are proficient in *Flutter*, we'd love to hear from you!

*Role and Responsibilities:*

- Develop and maintain native Android applications using *Kotlin* and *Java*.

- Collaborate with cross-functional teams to design, develop, and implement new features.

- Utilize *Flutter* to enhance user experiences and create seamless, responsive UIs.

- Work with *Firebase* and *Room Database* for data storage and retrieval.

- Implement *Android Jetpack* components and follow best practices for architecture.

- Apply *MVVM* and *Clean Architecture* patterns to build robust, scalable apps.

- Handle remote data interactions via *REST* APIs and *JSON*.

- Be a logical thinker, open to learning new technologies, and contribute to the product's success.

*Qualifications:*

- *Strong knowledge of Kotlin, Java, and Android Studio (Native)*.

- Experience with *Flutter* and understanding of its ecosystem.

- Familiarity with *Android Jetpack, multithreading (using **Coroutines*), and other architecture components.

- Proficiency in *MVVM* and *Clean Architecture* design patterns.

- Passion for entrepreneurship and a desire to contribute as a long-term Co-Founder.

*Interview Process:*

1. *Preliminary Interview (F2F)*: Get to know our team and discuss your experience.

2. *Coding Round*: Showcase your skills through a practical coding challenge.

3. *Final Interview (F2F)*: Dive deeper into your technical abilities and alignment with our vision.

*Perks and Benefits:*

- *Stipend Analysis: Initial 3 months with a Base pay of **15k/month* + performance-based bonus upto to 5K/month*

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- *Mentorship*: Learn from our startup journey, failures, and successes.

- *Co-Founding Opportunity: Earn company shares (up to **5%*) as a dedicated team member.

- *Remote Work*: Enjoy flexibility while contributing to our mission.

- *Additional Perks*: OTT platform subscriptions, course reimbursements, meal pass, festive gifts, and travel allowance.

*Note*: We're looking for committed individuals who treat our company as their own. If you're ready for a long-term journey and want to make a meaningful impact, apply now!

Responsibilities:

● Develop and curate engaging, brand-centric content for social media

platforms, ensuring a consistent and compelling brand voice.

● Craft internal communications that reinforce our brand's identity, mission,

and values, fostering a strong and united company culture.

● Offer creative input for marketing campaigns, helping to differentiate our

brand and achieve campaign objectives.

● Stay up-to-date with market trends, competitor analysis, and industry

developments

● Craft compelling ad copy that captivates readers and turns them into our

brand advocates.

● Create savvy, relatable memes that will make people click the "Share"

button.

● Editing, proof-reading and summarizing copy to present and promote

messages to various audiences

Requirements:

● 2-5 years of copywriting experience.

● Excellent writing, editing, and proofreading abilities with impeccable

grammar

● A good understanding of marketing concepts and being able to

modify your copy to achieve set campaign goals.

● Aware of the most recent trends

● A quirky and creative mind that can turn the mundane into the

extraordinary.

● A strong portfolio that demonstrates your proficiency in creating social

media content and internal branding materials.

● A team player who is eager to collaborate closely with designers and

marketing specialists to develop a smooth brand experience.

● Attention to detail and a keen eye for visual aesthetics

We are hiring Research Associates for a AI project for Gurgaon location. The Research Associate role is focused on Prompt Writing, Annotation and Labeling in which you will focus on the improvement of an AI engine.

In addition to an ability to write clearly and concisely, successful Research Associates must be able to tailor their writing style to each assignment’s requirements.

The ideal candidates will have a solid ability to focus on efficiency and problem-solving, and excellent writing and reading comprehension skills – including experience in creating and composing text within a specified amount of time.

Key Responsibilities:

• Work on various client projects to train generative AI models, by creating prompts and responses based on the instructions provided and on using established best practices for quality prompts.
• Given examples, generate similar prompts and responses.
• Use a variety of communication channels such as Slack, Teams, and SharePoint, to learn about new projects, collaborate with your team, and ask questions.
• Learn new software programs on the job.
• Providing supporting documentation when the AI fails.

Requirements

• Experience – 0-2 years
• Excellent Communication skills (Oral and Written)
• Qualification: Bachelor's degree (any stream)
• Preferred: Good understanding of AI.
• Ability to gain new skills and knowledge through hands-on experience
• Keen eye for detail.
• Demonstrated ability to work independently
• Strong time management skills
• Exemplify the quality of doing "get it done attitude," including a high level of accountability, transparency, and teamwork first & foremost

Where: Hyderabad/ Bengaluru, India (Hybrid Mode 3 Days/Week in Office)

Job Description:

• Collaborate with stakeholders to develop a data strategy that meets enterprise needs and industry requirements.
• Create an inventory of the data necessary to build and implement a data architecture.
• Envision data pipelines and how data will flow through the data landscape.
• Evaluate current data management technologies and what additional tools are needed.
• Determine upgrades and improvements to current data architectures.
• Design, document, build and implement database architectures and applications. Should have hands-on experience in building high scale OLAP systems.
• Build data models for database structures, analytics, and use cases.
• Develop and enforce database development standards with solid DB/ Query optimizations capabilities.
• Integrate new systems and functions like security, performance, scalability, governance, reliability, and data recovery.
• Research new opportunities and create methods to acquire data.
• Develop measures that ensure data accuracy, integrity, and accessibility.
• Continually monitor, refine, and report data management system performance.

Required Qualifications and Skillset:

• Extensive knowledge of Azure, GCP clouds, and DataOps Data Eco-System (super strong in one of the two clouds and satisfactory in the other one)
• Hands-on expertise in systems like Snowflake, Synapse, SQL DW, BigQuery, and Cosmos DB. (Expertise in any 3 is a must)
• Azure Data Factory, Dataiku, Fivetran, Google Cloud Dataflow (Any 2)
• Hands-on experience in working with services/technologies like - Apache Airflow, Cloud Composer, Oozie, Azure Data Factory, and Cloud Data Fusion (Expertise in any 2 is required)
• Well-versed with Data services, integration, ingestion, ELT/ETL, Data Governance, Security, and Meta-driven Development.
• Expertise in RDBMS (relational database management system) – writing complex SQL logic, DB/Query optimization, Data Modelling, and managing high data volume for mission-critical applications.
• Strong grip on programming using Python and PySpark.
• Clear understanding of data best practices prevailing in the industry.
• Preference to candidates having Azure or GCP architect certification. (Either of the two would suffice)
• Strong networking and data security experience.

Awareness of the Following:

• Application development understanding (Full Stack)
• Experience on open-source tools like Kafka, Spark, Splunk, Superset, etc.
• Good understanding of Analytics Platform Landscape that includes AI/ML
• Experience in any Data Visualization tool like PowerBI / Tableau / Qlik /QuickSight etc.

About Us

Gramener is a design-led data science company. We build custom Data & AI solutions that help solve complex business problems with actionable insights and compelling data stories. We partner with enterprise data and digital transformation teams to improve the data-driven decision-making culture across the organization. Our open standard low-code platform, Gramex, rapidly builds engaging Data & AI solutions across multiple business verticals and use cases. Our solutions and technology have been recognized by analysts such as Gartner and Forrester and have won several awards.

We Offer You:

• a chance to try new things & take risks.
• meaningful problems you'll be proud to solve.
• people you will be comfortable working with.
• transparent and innovative work environment.

To know more about us visit Gramener Website and Gramener Blog.

If anyone looking for the same, kindly share below mentioned details.

Total Experience:

Relevant Experience:

Notice Period:

CTCT:

ECTC:

Current Location:

We are looking for an experienced top-notch Python developer to grow with our dev team. As a Python Developer, you will be involved from conception to completion with projects that are technologically sound. Role and Responsibilities

• Expert in Python, with knowledge of at least one Python web framework {such as Django, Flask, etc}

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture

• Good understanding of server-side templating languages

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Understanding of accessibility and security compliance • Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of fundamental design principles behind a scalable application

• Familiarity with event-driven programming in Python

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills

• Develop and adhere to best-practices for developing applications

• Continuously contribute to team performance improvement and collaboration

• Work and collaborate with the rest of the engineering team

• Work with product team and graphic designers Technical Skills

• Experience in Python and frameworks such as Django, Flask, etc

• Ability to solve problems creatively and effectively

• Git knowledge is a plus

• Experience working in an Agile/Scrum development process

• Team player

• Good time-management skills

• Great interpersonal and communication skills

Qualifications

• B.S Degree in Computer Science

• 4-6 years overall IT industry experience

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics