11+ Internal communications Jobs in Delhi, NCR and Gurgaon | Internal communications Job openings in Delhi, NCR and Gurgaon

Location -Kolkata/Mumbai

Job Description:

-             Write, edit, and proof articles for Internal Communications

-             Write copies for branding collaterals like posters, brochures etc.

-             Co-ordinate with business units to gather information and craft articles, messages, or newsletters

-             Responsible for managing content and updating the Intranet using the CMS

-             Message and Newsletter creation using builder tool

-             Writing and editing for marketing collaterals

Specification / Skills / Experience

• Good writing experience
• Proficiency in English, a very high standard of both spoken and written language
• Independent and self-manage the work load
• Robust writing skills - the selected candidate will be writing and editing content on a daily basis
• University degree in journalism, media studies or related qualification
• A cross-cultural background
• Ability to manage more than one project at a time working under tight deadlines
• Strong organizational skills
• Working knowledge of Microsoft Word, Excel & PowerPoint, Photoshop (added advantage).

Primary Skills: Excellent writing and communication skills. Exposure to on-line content along with content management skills

Secondary Skills: Exposure to social media; project planning

Strong Data Architect, Lead Data Engineer, Engineering Manager / Director Profile

Mandatory (Experience 1) - Must have 10+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role

Mandatory (Experience 2) - Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang

Mandatory (Experience 3) - Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company

Mandatory (Experience 4) - Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.

Mandatory (Experience 5) - Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.

Mandatory (Team Management) - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in CV)

Mandatory (Education) - Must be from Tier - 1 Colleges, preferred IIT

Mandatory (Company) - B2B Product Companies with High data-traffic

Preferred Companies

MoEngage, Whatfix, Netcore Cloud, Clevertap, Hevo Data, Snowflake, Chargebee, Fractor.ai, Databricks, Dataweave, Wingman, Postman, Zoho, HighRadius, Freshworks, Mindtickle

Role - MLops Engineer

Location - Pune, Gurgaon, Noida, Bhopal, Bangalore 

Mode - Hybrid

Role Overview

We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving.

Key Responsibilities

• Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring.
• Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems.
• Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker.
• Automate ML workflows using CI/CD best practices and tools.
• Ensure model reproducibility, governance, and performance tracking.
• Monitor deployed models for data drift, model decay, and performance metrics.
• Implement robust versioning and model registry systems.
• Apply security, performance, and compliance best practices across ML systems.
• Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities.

Required Skills & Qualifications

• 4+ years of experience in Software Engineering or MLOps, preferably in a production environment.
• Proven experience with AWS services, especially AWS Sagemaker for model development and deployment.
• Working knowledge of AWS DataZone (preferred).
• Strong programming skills in Python, with exposure to R, Scala, or Apache Spark.
• Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes).
• Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools.
• Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline.
• Solid understanding of DevOps and cloud-native infrastructure practices.
• Excellent problem-solving skills and the ability to work collaboratively across teams.

Job Title: Senior React Native Developer

Location: Bangalore / Noida

Employment Type: Full-Time Job

Description: As a Senior React Native Developer, you will be responsible for architecting, building, and maintaining high-quality mobile applications. You will collaborate with cross functional teams to deliver solutions that align with the overall product architecture, ensuring smooth integration across different layers of the infrastructure. You will play a key role in the end to-end development process, from concept to deployment, while maintaining the highest standards of code quality.

Key Responsibilities: -

• Take ownership of the entire development lifecycle including analysis, functional decomposition, modelling, prototyping, code review, testing, deployment, and reporting for project deliverables.
• Maintain and optimize code while writing automated tests to ensure product quality and performance.
• Ensure timely and high-quality delivery of product releases.
• Provide accurate technical effort estimates to assist in project planning and resource allocation.
• Participate in the technical recruitment process as part of the interview panel.
• Collaborate with clients, senior business leaders, and technology teams to ensure effective communication and project alignment.

Required Skills & Experience:

• 5 - 8 years of experience in mobile application development.
• 4+ years of hands-on experience developing with React Native.
• Strong proficiency in JavaScript (ES6), React Native, CSS, and JSON.
• Familiarity with Java and experience with both Android and iOS platforms.
• Solid understanding of the mobile ecosystem, including performance optimization and monitoring.
• Deep knowledge of Native Components, Core Components, and React Native libraries.
• Experience building scalable mobile apps, with an understanding of mobile architecture and best practices.
• Expertise in debugging, root cause analysis (RCA), and problem-solving.
• Ability to multitask effectively, manage deadlines, and work under pressure.
• Strong analytical thinking, and confidence in engaging with clients and senior stakeholders.

Preferred Qualifications:

• Experience working in agile development environments.
• Familiarity with CI/CD pipelines and version control systems (e.g., Git).
• Knowledge of mobile performance optimization techniques. Mandatory Skills:
• React Native, JavaScript (ES6), CSS, Android/iOS Development.

Data Engineering : Senior Engineer / Manager

As Senior Engineer/ Manager in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution.

Must Have skills :

1. GCP

2. Spark streaming : Live data streaming experience is desired.

3. Any 1 coding language: Java/Pyhton /Scala

Skills & Experience :

- Overall experience of MINIMUM 5+ years with Minimum 4 years of relevant experience in Big Data technologies

- Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

- Strong experience in at least of the programming language Java, Scala, Python. Java preferable

- Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.

- Well-versed and working knowledge with data platform related services on GCP

- Bachelor's degree and year of work experience of 6 to 12 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position

Your Impact :

- Data Ingestion, Integration and Transformation

- Data Storage and Computation Frameworks, Performance Optimizations

- Analytics & Visualizations

- Infrastructure & Cloud Computing

- Data Management Platforms

- Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

- Build functionality for data analytics, search and aggregation

Job Requirements :

- Advanced Javascript, CSS, HTML 5, Sass, Less, JSON, DOM Concepts

- Candidate should have 2-3 years of regular working experience.

- Must have expertise in React js, Redux, node js, ExpressJS MongoDB, MySql, NoSQL Flux,

javascript html5 core concepts.

-Fluent in responsive design and mobile / tablet UI / UX, HTML5, CSS3 along with

bootstrap

-UI Performance: should have hands-on experience of optimizing page load, rendering,

caching.

- Familiarity and experience with Container architecture - Docker/Jenkins and build scripts,

help maintain code quality, organisation, and automation

- Must have done multiple projects using React js, Redux, node js, and MongoDB with

Cross browser/device compatibility.

-Working Knowledge of common Javascript Libraries such as jQuery.

-Working understanding of Webpack, Babel & other pre-processing tools.

-Good Understanding of REST Apis

-Good understanding of AJAX and its UI implications

- Good knowledge of events handling in client-side and server-side.

- Good knowledge of code versioning tools, such as Git/bitbucket

- Good logical and mathematical programming skills with good communication skills.

- At Least 2-3 live projects

- NodeJS knowledge is a plus

-Good hands-on experience with ES6 & knowledge of the upcoming syntax of ECMAScript.

-Huge plus if you have experience in working with state management libraries like Redux, MobX etc. in React.js.

Role of a Quantitative Trader

Role and Responsibilities:

*Candidate is expected to have a rigorous quantitative aptitude and go-get attitude.

*Candidate will be monitoring closely quantitative models in Derivatives markets and manage the Risk of its open Positions

Requirements:

Education (Candidate should satisfy one of the following)

 B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades

 B.Tech with good grades and strong quantitative aptitude

 CFA/FRM Level 1 cleared

 Any other degree with Financial Derivatives as a subject and through knowledge of Options Greeks (Portfolio Level, Risk Management, Hedging)

Preferences:

Following skill sets are not required but candidate will get preference if he/she possesses any of the following:

 Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)

 MATLAB/R for Time series analysis

 Knowledge of AFL ( Amibroker Formula Language)

Benefits and Advantages for Candidate:

 Steep learning curve

 Extensive training on mathematics of derivatives market

 Dynamic work environment.

 Merit based growth

 Quarterly bonuses Based on Performance post training period (where bonus can surpass the base salary)

Pay Structure:

 Extensive training period(probation period) of 3 months(Stipend Paid during training period INR 20,000)

 Pay Structure post the training period:

Base Salary of 5 Lacs p.a  + Performance Bonuses

Working Hours:

We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks.

 Standard Market Hours : 8:45 – 5.00 p.m

 Training Pre and Post market hours