Communications jobs in India

• Aligning branding and marketing with organisational goal
• Manage public relation and events

• Lead the delivery of external marketing communications to support marketing and leadership team initiatives
• Support regional communications development, sales tools and promotional materials in accordance with global and regional strategies

The Director Risk, Strategy, Marketing, Communications and Facilities is a strategic role which will lead the functions across all regions and business lines

We're seeking a seasoned Marketing & Communications leader to elevate the brand and internal engagement strategy for a leading telecom infrastructure company. This role will be pivotal in driving internal communications, shaping corporate narratives, and positioning the organization as a thought leader in the telecom ecosystem.

The Public Relations Manager will play a crucial role in managing public relations strategies and campaigns to elevate brand visibility in the fashion industry. This position requires a sharp understanding of media relations, event coordination, and brand storytelling within the retail sector. Must have experience working in the lifestyle/Fashion/Personal Care industry.

The Corporate Affairs GM will play an integral role in managing, planning, and coordinating all aspects of corporate affairs. This Pune-based role includes handling governmental and industrial relations, brand enhancement, and strategic communication.

We are seeking a seasoned professional to lead Investor Relations and Fundraising for a Listed Tech co. The role will drive investor communications, capital markets strategy, and equity/debt fundraising initiatives in partnership with senior leadership.

YOUR RESPONSIBILITIES:

• Design and Develop Applications: Build robust and scalable software solutions that align with business, security, and compliance requirements.
• Transform Legacy Systems: Understand legacy applications while leading their migration to modern cloud platforms.
• Implement Clean Architecture & DDD: Design and develop software adhering to best practices, ensuring scalability and maintainability.
• Collaborate with Teams: Work closely with the Requirements Engineer, Experts, and other stakeholders to translate technical specifications into working software solutions.
• Develop with Quality in Mind: Apply test-driven development (TDD) and integrate testing seamlessly into the development process.
• Support Integration & Maintenance: Contribute to integration, testing, deployment, and maintenance by correcting errors and adding enhancements.
• Drive Continuous Integration & Deployment (CI/CD): Continuously integrate and deploy applications to ensure streamlined development and delivery.
• Innovate Software Engineering Methods: Research, develop, and implement new software engineering techniques to enhance efficiency and effectiveness.
• Refine Development Processes: Establish and improve processes, standards, and guidelines for software development to ensure high-quality outputs.

WHAT WE ARE LOOKING FOR

Technical:

• Programming Languages: Java 8 & 11, Java 17, Spring Boot.
• Cloud Platforms: Experience migrating applications to AWS.
• Containerization: Experience with Docker.
• Strong experience with Maven.
• Architectural Principles: Proficiency in Clean Architecture and Domain-Driven Design (DDD).
• Development Practices: Test-Driven Development (TDD), Continuous Integration (CI), and Continuous Deployment (CD).
• Problem-Solving Skills: Strong debugging, troubleshooting, and performance optimization abilities.

Personal:

• Experience: 7+ years in technology, particularly in trending technologies.
• Software Development: At least 7 years of experience in design and development, with experience in large multinational organizations preferred.
• Communication: Excellent collaboration, communication, and analytical skills.
• Proactive: A focus on cost reduction, automation, and process efficiency improvements.
• Team Player: Ability to work independently and as part of a team.
• Motivation & Energy: High-energy individual, capable of motivating teams and fostering collaboration.

Key Responsibilities:

• Lead and manage a technical team to deliver end-to-end solutions for complex projects.
• Oversee the entire project lifecycle, from requirement gathering to deployment and post-implementation support.
• Collaborate with stakeholders to understand business needs and translate them into technical solutions.
• Ensure timely delivery of projects by setting clear goals, monitoring progress, and addressing roadblocks.
• Mentor and guide team members, fostering a culture of continuous learning and improvement.
• Conduct technical reviews and quality assurance to ensure solutions meet functional and technical standards.
• Manage budgets, resources, and timelines to optimize project outcomes.
• Stay updated on industry trends and emerging technologies to recommend innovative solutions.
• Act as a bridge between technical and functional teams, ensuring seamless communication and alignment.

Required Skills and Qualifications:

• 10+ years of experience in a techno-functional role, with a proven track record of managing technical teams.
• Strong leadership and people management skills, with the ability to inspire and motivate teams.
• In-depth knowledge of software development life cycle (SDLC) and agile methodologies.
• Expertise in managing end-to-end delivery of technical projects, ensuring quality and efficiency.
• Proficiency in programming languages such as Java, Python, or C#, and experience with relevant frameworks.
• Strong understanding of database management, cloud technologies, and DevOps practices.
• Excellent problem-solving skills with the ability to make data-driven decisions.
• Strong communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
• Knowledge of Logistics Domain for Airline & Shipping

Preferred Skills:

• Experience in industries such as finance, healthcare, or e-commerce.
• Familiarity with AI/ML technologies and their application in business solutions.
• Knowledge of project management tools like JIRA, Trello, or MS Project.

Senior Embedded Software Engineer

Your Job:

* Design, implement, and test embedded software for Smart Motion Products in the field of industrial

automation.

* Collaborate within an agile team on projects related to industrial communication, cybersecurity, and

closed-loop control.

* Assist in the development and enhancement of infrastructure for continuous integration and industrial

Ethernet.

* Utilize and integrate reusable software components from our embedded platform.

Your technical qualification:

* A degree in computer science, software engineering, electrical engineering, or a related field.

o Familiarity with electric and pneumatic systems, along with a willingness to engage with

them.

* Proficiency in object-oriented design and the C++ programming language

o Python for Scripting and Automation

o Principles of version control and branching with Git

o Skills in troubleshooting and testing embedded software

o Knowledge of unit and integration testing

* 10 years of experience in developing software for embedded systems and industrial

communication, particularly for "small systems" with limited resources and embedded RTOS

o Knowledge of ARM v7/v8 Cortex-M / Cortex-A based microcontrollers and their

ecosystems.

* Understanding of industrial communication protocols, stacks e.g. EtherCAT, Profinet, Modbus, IOLink,

and controllers, such as SIEMENS and Beckhoff.

o Proficiency with modern software tools including VS Code, LLVM, Git, GitLab, CMake,

and Conan.

* Familiarity with current software development processes, methods, and relevant standards is a plus.

o Awareness of architectural design principles and understanding of measures and best

practices to ensure software quality.

Data Scientist (IT)Position:

Data ScientistJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in Statistics, Operation Research, Computer Science, Data Science OR related quantitative fieldJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:



§ 5+ years in developing and implementing forecasting models

§ [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration)

§ [Mandatory] Proven expertise in time series analysis, regression analysis, and other statistical modelling techniques

§ [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)

§ [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.

§ [Mandatory] Strong programming & analysis skills with Python and SQL, including experience with relevant forecasting packages

§ [Mandatory] Prior experience on Data Science & ML Engineering on Google Cloud

§ [Mandatory] Proficiency in version control systems such as GitHub

§ [Mandatory] Strong organizational capabilities; and ability to work in a matrix/ multidisciplinary team

§ [Mandatory] Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audience

§ Experience in Beauty or Retail/FMCG industry is preferred

§ Experience in handling large volume of data (>100 GB)

§ Experience in delivering AI-ML projects using Agile methodologies is preferred

§ Proven ability to work proactively and independently to address product requirements and design optimal solutionsJob objectives:

Design, develop, implement, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with cross-functional teams to leverage statistical modeling, machine learning, and data mining techniques to improve forecast accuracy and aid strategic decision-making across the organization. Scale the proven AI-ML Product across the SAPMENA region.Job description:§ Deep understanding of business/functional needs, problem statements and objectives/success criteria

§ Develop and maintain sophisticated statistical forecasting models, incorporating factors such as seasonality, promotions, media, traffic and other economic indicators

§ Collaborate with internal and external stakeholders including business, data scientists & product team to understand the business and product needs and translate them into actionable data-driven solutions

§ Review MVP implementations, provide recommendations and ensure Data Science best practices and guidelines are followed

§ Evaluate and compare the performance of different forecasting models, recommending optimal approaches for various business scenarios

§ Analyze large and complex datasets to identify patterns, insights, and potential risks and opportunities

§ Communicate forecasting results and insights to both technical and non-technical audiences through clear visualizations and presentations

§ Stay up to date with the latest advancements in forecasting techniques and technologies, continuously seeking opportunities for improvement

§ Contribute to the development of a robust data infrastructure for AI-ML solutions, ensuring data quality and accessibility

§ Collaborate with other data scientists and engineers to build and deploy scalable AI-ML solutions

CYBER DEFENSE CENTERDetection & Response

• Is responsible for managing all Monitoring and Security Operations Center (SOC) as well as CSIRT (Computer Security Incident Response Team).
• Ensure security events of all critical applications are properly collected by SIEM.
• Ensure security incidents are identified in a timely manner and properly managed.
• Oversee incident response plan and ensure its alignment with business resilience plan, disaster recovery and business impact analysis.
• Collaborate with Group Head of Cyber-resilience to support the disaster recovery plan, as well as the crisis management

Threat Intelligence & Vulnerability Management

o Collecting detailed, actionable threat information for preventing and fighting cybersecurity threats targeting an organization.

o Ensure performance of proper threat monitoring to identify threat impacting l'Oréal and ensure proper communication to impacted teams.

o Ensure vulnerabilities are identified, monitored and perform remediation follow-up. Ensure efficiency of the security scanning and code reviews of applications.Fraud Management

• Provide security services to enhance the protection of brand in the digital space

Offensive security

• Provide ethical hacker and red teaming capabilities for the whole group.
• Provide guidance's regarding Penetration testing and red teaming activities.
• Ensure follow-up of all ethical hacking activities at Group level.

CYBER CRISIS MANAGER



The cybersecurity crisis manager works closely with CSIRT teams.

It analyzes the scope of the cyber crisis, coordinates the necessary actions to resolve the cyber crisis and coordinates the teams to implement decided recommendations.

It advises the business units to manage cyber crisis.

He organizes the organization's capacity to face new threats in terms of cybersecurity.· Advise the organization to have a capability to manage cyber crisis

· Define the necessary means for cyber crisis management: plans, procedures, resources, tools,etc.

· Verify that all elements of cyber crisis preparedness are present

· Ensure the training and education of business and support staff likely to intervene in the event of a cyber crisis ; test and validate the organization's ability to react to an attack

· Organize the management to act and deal with the cyber crisis

· Leading the decision-making cyber crisis cell and contributing to the operational cyber crisis cells

· Coordinate the action of the various parties involved and the dissemination of information to stakeholders

· Monitor and coordinate action plans for investigation and remediation

· Ensure relations with the authorities, insurance companies and any external experts

· Ensure the consistency of the cyber crisis communication strategy with stakeholders

· Organize post-mortem reviews and feedback to follow up on incidents and propose improvements to prevention, detection and response systems

The Chief Marketing Officer will lead the marketing strategy, branding, and communication initiatives to drive growth and enhance the organisation's presence in the healthcare sector. This position requires an innovative approach to campaigns and a strong understanding of healthcare marketing trends to increase the hospital brand presence in domestic and international markets.

The role of Head - D2C involves leading and managing digital marketing and web communication strategies to enhance the company's online presence and brand visibility. This position requires expertise in digital, website, including social media, and a strong understanding of FMCD consumers. The role will be based in Mumbai.

Qualifications

⎯ Bachelor's degree in Computer Engineering, Computer Science or related discipline, Master's Degree preferred.

⎯ 3+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment.

⎯ 3+ years of experience with setting up and operating data pipelines using Python or SQL

⎯ 3+ years of advanced SQL Programming: PL/SQL, T-SQL

⎯ 3+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization.

⎯ Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads. ⎯ 3+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data

⎯ 3+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions.

⎯ 3+ years of experience in defining and enabling data quality standards for auditing, and monitoring.

⎯ Strong analytical abilities and a strong intellectual curiosity.

⎯ In-depth knowledge of relational database design, data warehousing and dimensional data modeling concepts

⎯ Understanding of REST and good API design.

⎯ Strong collaboration, teamwork skills, excellent written and verbal communications skills.

⎯ Self-starter and motivated with ability to work in a fast-paced development environment.

⎯ Agile experience highly desirable.

⎯ Proficiency in the development environment, including IDE, database server, GIT, Continuous Integration, unit-testing tool, and defect management tools.Preferred Skills:

* Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management).

* Strong working knowledge of Snowflake, including warehouse management, Snowflake SQL, and data sharing techniques.

* Experience building pipelines that source from or deliver data into Snowflake in combination with tools like ADF and Databricks.

* Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools.

* Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance).

* Hands on experience in Databases like (Azure SQL DB, MySQL/, Cosmos DB etc.), File system (Blob Storage), Python/Unix shell Scripting.

* ADF, Databricks and Azure certification is a plus.

This role requires SAP AMS strategy and delivery across South India, overseeing client acquisition, operations, and transformational initiatives like automation and offshoring. It requires a seasoned person with deep regional insight, strong communication skills, and a proven ability to optimize shared service models in a dynamic enterprise environment.

Qualifications & Required Skills: Full-Time

bachelor's or master's degree in engineering/technology, computer science, information technology, or related fields.

 10+ years of total experience in data modeling and database design and experience in Retail domain will be added advantage.

 8+ years of experience in data engineering development and support.

 3+ years of experience in leading technical team of data engineers and BI engineers  Proficiency in data modeling tools such as Erwin, ER/Studio, or similar tools.

 Strong knowledge of Azure cloud infrastructure and development using SQL/Python/PySpark using ADF, Synapse and Databricks.

 Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Python/PySpark, Logic Apps, Key Vault, and Azure functions.

 Strong communication, interpersonal, collaboration skills along with leadership capabilities.

 Ability to work effectively in a fast-paced, dynamic environment as cloud SME.

 Act as single point of contact for all kinds of data management related queries to make data decisions.

 Design and manage centralized, end-to-end data architecture solutions, such as- Data model designs, Database development standards, Implementation and management of data warehouses, Data analytics systems.

 Conduct continuous audits of data management system performance and refine where necessary.

 Identify bottlenecks, optimize queries, and implement caching mechanisms to enhance data processing speed.

 Work to integrate disparate data sources, including internal databases and external application programming interfaces (APIs), enabling organizations to derive insights from a holistic view of the data.

 Ensure data privacy measures comply with regulatory standards.Preferred

* Azure Data Factory (ADF), Databricks certification is a plus.

* Data Architect or Azure cloud Solution Architect certification is a plus.Technologies we use: Azure Data Factory, Databricks, Azure Synapse, Azure Tabular, Azure Functions, Logic Apps, Key Vault, DevOps, Python, PySpark, Scripting (PowerShell, Bash), Git, Terraform, Power BI, Snowflake

Location- GurgaonExternal Interfaces Internal Interfaces

* Contractor(s) - BPO Partners - Global CoE Data & Analytics team

* Vendors - Digital tools (SAP Ariba, Coupa, etc.)

* Vendors - Supplier Relation Management (SRM)

* Global Procurement GNFR

* Finance, accounting and Legal

* GNFR Stakeholders

* Global CoE - Data & AnalyticsJob Requirements Education

* Bachelor's degree in Supply Chain, Business Administration, Engineering, or a related field.

* MBA or relevant Master's degree preferred.Relevant Experience

* 10+ years of total experience in procurement, with a strong focus on process optimization, tools implementation, and transformation.

* Proven success in leading or supporting largescale S2P initiatives.

* Experience with procurement platforms such as SAP Ariba, Coupa, Oracle, and ERP systems like SAP.Behavioural Skills

* Strong analytical and problem-solving abilities.

* Excellent communication and stakeholder engagement skills.

* Proactive, organized, and adaptable in a fastpaced, global environment.

* Willingness to work flexible hours to collaborate across time zones.

* Strong project management mindset.Knowledge

* Strong understanding of end-to-end procurement processes, with a focus on Sourceto-Pay (S2P) transformation.

* Hands-on knowledge of procurement platforms such as SAP Ariba, Coupa, or other similar tools (e.g., Oracle, Ivalua).

* Experience in integrating procurement systems with ERP platforms such as SAP or Oracle * Familiarity with contract lifecycle management (CLM), supplier management, e-sourcing, and invoice automation.

* Working knowledge of data governance, compliance frameworks, and internal controls in a procurement context.

* Proficiency in Power BI or other business intelligence tools (e.g., Tableau, Qlik, Spotfire) for creating dashboards and data-driven insights.

* Strong command of Microsoft Excel (pivot tables, advanced formulas, data modeling) and PowerPoint for executive reporting.

* Basic understanding of cloud platforms (e.g., Azure, AWS, or GCP) for analytics is a plus. Roles & Responsibilities Analytics (Data & Insights)

* Drive implementation, optimization, and adoption of procurement platforms such as SAP Ariba, Coupa, Oracle (including CLM, e-Sourcing, and invoice automation).

* Collaborate with IT and cross-functional teams for seamless ERP integration.

* Monitor tool adoption and identify opportunities for automation and enhancement. Operational Excellence

* Lead and execute end-to-end procurement transformation initiatives, spanning S2P and P2P workstreams.

* Design and deliver standardized, automated, and scalable procurement processes aligned with global strategy.

* Define and implement procurement transformation roadmaps and process excellence frameworks.Stakeholder Management

* Engage and align with global stakeholders including Procurement, Finance, Legal, IT, and Business Units.

* Act as a change agent for procurement transformation, building awareness and ownership among stakeholders.

* Define KPIs and provide actionable insights to leadership through dashboards and reports.Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to businessData Governance & Quality Assurance

* Use data-driven analysis to identify trends, optimize procurement spend, and enable strategic sourcing.

* Build interactive dashboards (preferably in PowerBI) and ensure high data integrity and governance

Position:

ML EngineerJob type:

Techno-FunctionalPreferred education qualifications:

Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degreeJob location:

IndiaGeography:

SAPMENARequired experience:

6-8 YearsPreferred profile/ skills:

• 5+ years in developing and deploying enterprise-scale ML solutions
• [Mandatory] Proven track record in data analysis (EDA, profiling, sampling), data engineering (wrangling, storage, pipelines, orchestration),
• [Mandatory] Proficiency in Data Science/ML algorithms such as regression, classification, clustering, decision trees, random forest, gradient boosting, recommendation, dimensionality reduction
• [Mandatory] Experience in ML algorithms such as ARIMA, Prophet, Random Forests, and Gradient Boosting algorithms (XGBoost, LightGBM, CatBoost)
• [Mandatory] Prior experience on MLOps with Kubeflow or TFX
• [Mandatory] Experience in model explainability with Shapley plot and data drift detection metrics.
• [Mandatory] Advanced programming skills with Python and SQL
• [Mandatory] Prior experience on building scalable ML pipelines & deploying ML models on Google Cloud
• [Mandatory] Proven expertise in ML pipeline optimization and monitoring the model's performance over time
• [Mandatory] Proficiency in version control systems such as GitHub
• Experience with feature engineering optimization and ML model fine tuning is preferred
• Google Cloud Machine Learning certifications will be a big plus
• Experience in Beauty or Retail/FMCG industry is preferred
• Experience in training with large volume of data (>100 GB)
• Experience in delivering AI-ML projects using Agile methodologies is preferred
• Proven ability to effectively communicate technical concepts and results to technical & business audiences in a comprehensive manner
• Proven ability to work proactively and independently to address product requirements and design optimal solutions
• Fluency in English, strong communication and organizational capabilities; and ability to work in a matrix/ multidisciplinary team

Job objectives:

Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs.Job description:

• Deep understanding of business/functional needs, problem statements and objectives/success criteria
• Collaborate with internal and external stakeholders including business, data scientists, project and partners teams in translating business and functional needs into ML problem statements and specific deliverables
• Develop best-fit end-to-end ML solutions including but not limited to algorithms, models, pipelines, training, inference, testing, performance tuning, deployments
• Review MVP implementations, provide recommendations and ensure ML best practices and guidelines are followed
• Act as 'Owner' of end-to-end machine learning systems and their scaling
• Translate machine learning algorithms into production-level code with distributed training, custom containers and optimal model serving
• Industrialize end-to-end MLOps life cycle management activities including model registry, pipelines, experiments, feature store, CI-CD-CT-CE with Kubeflow/TFX
• Accountable for creating, monitoring drifts leveraging continuous evaluation tools and optimizing performance and overall costs
• Evaluate, establish guidelines, and lead transformation with emerging technologies and practices for Data Science, ML, MLOps, Data Ops

This role involves providing comprehensive secretarial and administrative support to the Managing Director and Directors in a fast-paced financial services environment. The ideal candidate will ensure seamless coordination and maintain confidentiality while managing schedules, communications, and priorities.

We are looking for a skilled engineer with strong shop floor experience in welding, cutting, and bending to lead and mentor a team while managing fabrication processes. The ideal candidate will have a hands-on approach, good communication skills, and a background from a reputed engineering institute.

The role of the Executive Assistant to MD and Directors involves providing comprehensive administrative support, ensuring smooth coordination and communication across various departments. This position requires strong organisational skills and the ability to manage multiple priorities effectively in the financial services industry.

Candidate with Company secretary qualification with overall 3 to 4 years of experience in FEMA , SEBI Compliance, Good in drafting MOM, Great communications skills should apply.

This position is for an SR Manager - CRM - BD role in the Marketing & Agency department, at a leading law firm located in Mumbai. The ideal candidate should have a strong understanding of CRM strategies, business development, and excellent communication skills.

3+ years of Proven experience in developing dashboards using Tableau, with a strong passion for data analysis and Excellent communication skills and hands-on expertise in Python.

• Be a key advisor for the clients, analyzing business requirements to design and implement ideal security solutions for their needs.
• Candidate is required to have strong communication skills and experience in SOC operations, security governance & advisory, security risk management, security architecture, and cyber incident response programs.

Developing and implementing an information security program which includes procedures and policies designed to protect enterprise communications, systems and assets and managing the local GRC and global GCC teams

The Executive Assistant to MD is a pivotal role, providing high-level support to the Managing Directors of a leading global financial services firm with its India office in Worli, Mumbai. The role requires an individual adept at managing multiple tasks, with strong problem-solving abilities and excellent communication skills.

To provide high-level administrative and strategic support to the Managing Director (MD). This role requires exceptional organizational skills, discretion, and the ability to manage multiple priorities while maintaining a high degree of professionalism. The Personal Assistant will act as a liaison between the MD and internal/external stakeholders, ensuring efficient communication, coordination, and execution of key initiatives.