Technology Telecoms jobs in India

Qualifications

• Bachelor's or master's degree in computer science, or a comparable field.
• 5 to 8 years of experience working in frontend development with web-based applications.
• Expertise in backend technologies like C#/.NET Core.
• Expertise in databases (SQL and NoSQL), such as Azure SQL and Cosmos DB.
• Expertise in Microsoft Azure platform, in particular with Azure App Services, Azure Functions and Azure SQL.
• Experience with front-end technologies such as JavaScript/TypeScript and Angular.
• Experience of working in an agile development team (E.g. Scrum).
• Experience with unit testing, automated testing, and continuous integration/continuous delivery (CI/CD).
• High degree of personal responsibility and analytical skills to solve complex challenges.
• Quick thinking, positive attitude, and excellent collaboration skills.
• Strong motivation and enthusiasm for professional development and visual appealing frontends.
• Goal and results oriented.
• Team player and ability to work in a multicultural and multinational environment.
• Unconventional thinking, creativity, and a willingness to continuously improve.
• Flexible, adaptable, open to change and the acquisition of new knowledge and skills.

Job Description:

• Development and maintenance of our software components of our SaaS product, in particular APIs and microservices.
• Development and optimization of backend systems in the Microsoft Azure Cloud using Azure App Services, Azure Functions, Azure SQL, and other Azure services.
• If possible, take over frontend dev tasks as part of a full stack developer.
• Active participation in code reviews, ensuring unit tests and fixing bugs to ensure high code quality and stability.
• Working closely with the development team, the product owner, and the DevOps team in an agile environment.
• Ensure clean technical documentation for all developed features and APIs.

Job location: Bengaluru, India

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

Job RequirementsEducation

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience

* 5 - 7 years for Data Scientist

* Relevant working experience in a data science/advanced analytics roleBehavioural Skills

* Delivery Excellence

* Business disposition

* Social intelligence

* Innovation and agilityExperience

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)

* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)Roles & Responsibilities

Analytics & Strategy

1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business

2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data

3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions

4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence

1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems

3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement

1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables

2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats

Qualifications

* Bachelor's or master's degree in computer science, or a comparable field.

* 5 to 8 years of experience working in frontend development with web-based applications.

* Expertise in frontend technologies like HTML, CSS and JavaScript.

* Expertise in working with Blazor framework.

* Expertise in backend technologies like C#/.NET 8.0.

* Good knowledge of RESTful APIs and web services.

* Solid understanding of OOP and design patterns.

* Mathematical knowledge, particularly in geometry to support the development of CAD interface.

* Experience of working in an agile development team (E.g. Scrum).

* High degree of personal responsibility and analytical skills to solve complex challenges.

* Quick thinking, positive attitude, and excellent collaboration skills.

* Strong motivation and enthusiasm for professional development and visual appealing frontends.

* Goal and results oriented.

* Team player and ability to work in a multicultural and multinational environment.

* Unconventional thinking, creativity, and a willingness to continuously improve.

* Flexible, adaptable, open to change and the acquisition of new knowledge and skills.Job Description:

* Design, develop and maintain the web application Fluid Draw web and fluidsim.festo.com using .Net 8.0 and Blazor framework.

* Maintain and extend the CAD interface [Drawing area]

* Implement new features and optimize existing functionalities for performance and usability.

* Ensure code quality through testing, code reviews and adherence to best practices.

* Collaborate with cross-functional teams and support PO to gather and analyze requirements.

* Participate in architectural discussions and contribute to the overall design of the application.

* Troubleshoot and resolve issues in a timely manner.Job Location: Bengaluru, India

Job Level: Experienced Professionals - 5+ years

Level of Education: BE/BTech

Job Type: Full-Time/Regular

Role Summary The Zone Network and Security Project Manager will be responsible for the co-ordination of designing, implementing, and maintaining secure IT infrastructure solutions. The role's main responsibility is to ensure the organization's IT systems remain resilient, compliant, and aligned with business objectives. The ideal candidate will have a strong technical background in network engineering and cybersecurity coupled with hands-on experience in project management and cross-functional collaboration. Experience with retail and cloud infrastructure a plus.Key Responsibilities

Project Management

• Lead network and system migration projects.
• Collaborate with suppliers and stakeholders, including Retail IT, to design and test IT infrastructure solutions.
• Ensure timely delivery and successful execution of IT and security projects.

Network Engineering and Security

• Advise and co-ordinate the design, configuration, and management of company network security infrastructure (e.g., Meraki, Fortinet, Zscaler).
• Lead the implementation and maintenance of secure WAN solutions (ADSL, MPLS, SD-WAN).
• Develop and enforce security compliance measures, including IPSec VPN management.
• Support global connectivity solutions, such as Meraki, Cloudi-fi, and Zscaler.
• Design, implement, and manage Zscaler Private Access (ZPA) solutions for secure remote access to internal applications across our 3500 retail stores in the Zone.
• Configure and optimize Zscaler Secure Internet Access (ZIA) policies for web security, threat prevention, and data loss prevention for our 3500 retail stores in the Zone.
• Troubleshoot and resolve issues related to Zscaler ZPA and ZIA deployments, ensuring optimal performance and security.

Cloud Infrastructure and Automation

• Working knowledge of cloud-based systems in Azure and AliCloud, including AAD server migrations.

Cybersecurity and Compliance

• Implement and support data loss prevention (DLP) tools such as CrowdStrike.
• Lead cybersecurity IT training where needed.

IT Systems Administration

• Monitor and maintain system performance using tools like ThousandEyes.
• Strong analytical skills and high proficiency in using PowerBI and Excel.

Collaboration and Support

• Manage access controls using SharePoint.
• Provide project workflow customization and ServiceNOW and Confluence knowledge base access management.
• Support cross-functional teams with IT tools, meeting room setups, and collaboration platforms (Teams, SharePoint, ServiceNOW, Confluence).

Qualifications and Skills

Technical Certifications (bonus but not required)

• CCNP (Cisco Certified Network Professional).
• PMP (Project Management Professional).
• Zscaler Certifications (e.g., Zscaler Certified Administrator, Zscaler Certified Professional) are a significant plus.

Technical Expertise

• Proficient in network technologies: Cisco Meraki, Palo Alto Firewalls.
• Strong skills in cloud technologies: Azure, AliCloud.
• Advanced knowledge of cybersecurity tools: CrowdStrike, CyberArk.
• Extensive hands-on experience with Zscaler, specifically Zscaler Private Access (ZPA) and Zscaler Secure Internet Access (ZIA) modules.

Preferred Experience

• 5+ years of experience in network engineering and cybersecurity roles.
• Proven track record in IT infrastructure management and cloud migration projects.

Demonstrated experience in deploying, configuring, and maintaining Zscaler Private Access (ZPA) and Zscaler Secure Internet Access (ZIA) in an enterprise environment, particularly within a large-scale retail contextLocation- Hyderabad

Mode- Hybrid, 3 Days WFO

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

Job Requirements Education

* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)

* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience

*3 - 4 years for Data Scientist

* Relevant working experience in a data science/advanced analytics role Behavioural Skills

*Delivery Excellence

*Business disposition

*Social intelligence

*Innovation and agility Knowledge

* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)

*Statistical modelling using Analytical tools (R, Python, KNIME, etc.)*Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)

*Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.

*Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)

*Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)

*Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)

* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools

*Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)

* Microsoft Office applications (MS Excel, etc.)

Location- Gurgaon

Be the driving force behind revenue growth at a cutting-edge Series A startup revolutionizing document automation with AI. As a remote Account Executive, you'll own the entire sales process to win mid-market and enterprise clients across the US and fuel our rapid expansion.

Candidates with 2 to 8 years of experience from Real estate experience working in Warehousing leasing, Real estate industry should apply

Lead the design and execution of enterprise-wide Knowledge Management strategy, integrating advanced tools, content governance, and analytics to enhance IT service delivery and innovation. Build and maintain knowledge infrastructure, foster a culture of knowledge sharing, ensure compliance, and drive stakeholder engagement, training, and change management to maximize knowledge asset value and business impact.

This role requires a skilled HRBP to partner with business leaders in the Technology industry, ensuring alignment between HR strategies and organisational goals. The ideal candidate will focus on driving talent management, employee engagement, and workforce planning initiatives.

We're hiring a Business Development Representative (BDR) on behalf of our client to support their continued growth. This is a high-impact role where you'll help drive pipeline generation, initiate conversations with key decision-makers, and collaborate closely with the sales and marketing teams. If you're motivated, tech-savvy, and excited about working in a fast-paced SaaS environment, this could be a great fit.

• Configured and commissioned SCADA/EMS software systems for renewable energy projects, ensuring stable operation and promptly resolving customer-reported issues. Responsibilities included problem investigation, troubleshooting, software upgrades, and configuration changes.
• Addressed customer feedback and requirements by coordinating with relevant stakeholders to provide effective resolutions.

The Professional Consultant (Legal) will provide expert legal advice and support to ensure compliance and mitigate risks within the organization.

This role focuses on delivering high-quality legal solutions in the IT/ITeS sector.

The Head Legal will oversee all legal operations, ensuring compliance and mitigating risks in the Product and Technology sector. This role requires expertise in legal strategy, contract management, and regulatory frameworks to support business objectives effectively.

We are seeking a dedicated Finance/Digital transformation professional to join a leading Technology company based out of Bengaluru. This role will lead the design, deployment, and scaling of digital tools, automation frameworks, and data-driven processes that improve financial accuracy, reporting, controls, and efficiency across the organization.

Senior Manager - SAP MM to oversee the SAP Materials Management (MM) function, with a strong focus on SAP S/4HANA. This is a hands-on role ideal for someone with in-depth knowledge of SAP MM, as well as cross-module experience with Quality Management (QM) and Production Planning (PP), particularly in the integration of these areas. The role requires managing a small team of 5-6 consultants while also coordinating with a larger SAP team of 40 members, both internal and external. Worked on BTP, CPI to build custom solutions & interfaces;

The role of Finance Controller in the technology industry is ideal for a detail-oriented professional with expertise in accounting and finance. Based in Thane, this position involves managing financial operations and ensuring compliance with industry standards.

The Senior Manager Taxation role is designed for an experienced professional to oversee and manage all tax-related activities, ensuring compliance with regulations and optimising tax strategies. This position offers an opportunity to work in International Taxation, PoE, PoEM, transfer pricing, annual tax planning and strategy and tax advisory.

The Chief of Staff will play a critical role in supporting executive leadership by driving strategic initiatives, ensuring operational excellence, and fostering collaboration across teams. This position in Bangalore requires a highly organised professional with a strong understanding of the software industry.

The Finance Controller will oversee financial accounting, controlling, planning, reporting, and compliance for a leading company in the technology sector. This role, based in Mumbai, requires strong expertise in accounting, finance and compliance to drive business success.

Our client is seeking a stellar Solutions Consultant to join their team and help accelerate growth. As an expert on their platform, you will lead technical demos, Proof of Concepts, and collaborate closely with Sales to articulate their solution's value to prospects and customers.

The client is a experienced Data Modeler specialising in scalable data model design for HRIS and IAM systems. The person will translate business needs into robust conceptual, logical and physical models supporting both transactional and analytical use cases. They'll collaborate with cross-functional teams to define data architecture, ensure governance and compliance, and optimize ETL pipelines.

This is a high-impact role where you will own our visual identity, starting with a complete overhaul of the client's website. Your work will directly shape the brand is perceived by Fortune 500 enterprises and the broader AI ecosystem.

• This is the first marketing hire, where the candidate will be setting up the marketing engine from scratch.
• We prefer candidates from Product Marketing background

• Candidate should come with strong US team management experience
• Candidate should come with experience driving US enterprise sales

1. Android
   2. Core Java
   3. SQLite Database
   4. Kotlin

This is a founding Product Marketing Lead role, reporting directly to the CEOThis is a 5 days WFO role with shift timings being 1pm - 10 pm

The role requires a professional to oversee corporate compliance and governance activities within a pre-IPO startup. You will play a key role in ensuring adherence to regulatory standards and supporting the IPO journey of the platform

An excellent opportunity for a detail-oriented Internal Auditor to join a leading technology and telecoms organisation, based in Gurugram. The successful candidate will play a key role in improving the company's operations by maintaining a systematic, disciplined approach to risk management, control, and governance processes.