Engineering jobs in India

Conduct a comprehensive assessment of all network technologies deployed across countries, identifying risks, and creating actionable plans to address critical vulnerabilities. Develop and execute a multi-year global network strategy that drives standardization, security, and operational efficiency.

• A Manufacturing Lead opportunity with a leading Global MNC in Energy, Oil&Gas and Industrial Tooling Space
• A manufacturing leadership opportunity with great career prospects and growth

• Planning, design and implementation of voice and data communication networks
• Network monitoring/management, including monitoring and baselining of the network status
• Ensuring active network operation (on-call duty) and ensuring high availability (switching, routing, WLAN, security, cloud)
• Detection and elimination of bottlenecks (bandwidths, number of ports, KPIs, ...)

Our client is looking to hire a visionary leader to drive its design and engineering initiatives to new heights. He/She will be leading the design vertical and will report to the Director of the company.

• Build a Total Quality Management culture by driving/developing the capabilities of the Associates on Quality aspects on the job and to evaluate process/equipment capabilities through the Validations and Process Monitoring
• Ensure manufacturing processes/process quality activities are followed in compliance
• Establish and maintain an effective, governed and documented system for all company processes

* Perform penetration testing of Festo products.

* Assist in creating and maintaining test plans and checklists.

* Perform penetration testing of Festo products.

* Assist in creating and maintaining test plans and checklists.

Job Title: Radio Frequency (RF) Engineer - Apple Product ExperiencePosition Overview:

As an RF Engineer, you will be responsible for designing, testing, and optimzing the radio frequency (RF) performance of our products, with a focus on wireless technologies commonly used in Apple devices (e.g., Wi-Fi, Bluetooth, 5G, NFC, etc.). You will work closely with cross-functional teams to ensure the highest quality and performance of RF components in mobile devices, wearables, and other consumer electronics.

Key Responsibilities:

1. RF Design & Optimization: Design and optimize RF circuits, systems, and components for next-generation products, ensuring high performance across Wi-Fi, Bluetooth, LTE, 5G, NFC, GPS, and other wireless standards commonly used in Apple products.

2. Wireless Performance Testing: Conduct comprehensive RF testing and validation, including range, throughput, interference, and signal integrity, to ensure optimal wireless performance in diverse real-world environments.

3. Integration with Apple Ecosystem: Apply knowledge of Apple-specific RF engineering practices and technologies to integrate wireless solutions within Apple's ecosystem (iOS, macOS, watchOS, etc.) and across Apple product lines (iPhone, iPad, Apple Watch, AirPods, etc.).

4. Interference Management: Troubleshoot and resolve interference, signal degradation, and performance issues, ensuring that wireless solutions meet stringent Apple standards for reliability and efficiency.

5. Collaboration: Work cross-functionally with hardware engineers, software teams, product managers, and quality assurance to ensure seamless RF integration into new devices.

6. Documentation & Reporting: Maintain detailed records of RF performance, design specifications, test results, and analysis. Provide technical documentation and reports for internal teams and stakeholders.

7. Compliance & Certification: Ensure all RF designs comply with regulatory standards and certifications (e.g., FCC, CE) and support certification processes for wireless technologies.

Qualifications:

Educational Background: Bachelor's or Master's degree in Electrical Engineering, Telecommunications, or a related field.

Experience:

1. 3+ years of hands-on RF engineering experience, with a focus on wireless technologies used in Apple products (e.g., Wi-Fi, Bluetooth, 4G/5G, NFC).

2. Proven track record of designing, testing, and optimizing RF systems in mobile or consumer electronics, preferably in the context of Apple's wireless ecosystems.

Technical Skills:

1. Strong knowledge of RF circuit design, antenna design, and system-level RF integration.

2. Expertise in RF measurement tools (e.g., spectrum analyzers, network analyzers, oscilloscopes).

3. Familiarity with wireless standards and protocols (Wi-Fi, Bluetooth, 5G, NFC, etc.).

4. Experience with RF simulation and modeling tools (e.g., Keysight ADS, Ansys HFSS).

5. Experience in performance optimization for power efficiency, data throughput, and signal integrity.

Apple-specific Expertise (Preferred Qualifications):

1. In-depth understanding of Apple's product line, including iPhone, iPad, AirPods, Apple Watch, and their wireless components.

2. Familiarity with Apple's design philosophies, testing procedures, and certification processes for wireless technologies.

3. Problem-Solving Skills: Strong analytical and troubleshooting skills with a knack for identifying complex RF performance issues and providing innovative solutions.

4. Communication: Excellent verbal and written communication skills, with the ability to clearly explain technical concepts to both technical and non-technical teams.

5. Attention to Detail: Strong attention to detail in testing, analysis, and documentation to ensure the highest standards of quality

The Project Manager will be responsible for planning, executing, and overseeing projects to ensure they are completed on time, within budget, and meet the quality standards of the organisation. This role involves coordinating with cross-functional teams, managing resources, and driving the successful delivery of projects while ensuring alignment with strategic goals.

Responsible for leading large-scale manufacturing optimization initiatives, improving plant efficiency, and developing long-term process improvement strategies.

Effectively manage and oversee wind energy projects, ensuring compliance with regulations and quality standards, and providing valuable input into wind farm electrical bop designs and re-designing processes along with associated installation and commissioning to achieve cost effective and sustainable assets.

Our client is seeking an experienced Development Lead to manage the product development and commercialization of sports footwear and sneakers. You'll oversee the entire lifecycle from design to market launch, ensuring high-quality and innovative products.

Chief Projects Officer (CPO) will lead green field and brown field projects across ingot-wafer-cell-module value chain, cell-battery, hydrogen, supply chain security projects, major revamps/refurbishment. The candidate will manage multiple critical high value high growth projects (7-10 projects) simultaneously.

• A strategic role with a global food manufacturing giant to setup a large scale greenfield project.
• Excellent growth trajectory in a high visibility role.

Our client is seeking a highly strategic and analytical Head of Projects who is adept at executing complex industrial and manufacturing projects within the Metal & mining Industry. The role is based in Mumbai and requires a blend of leadership, technical prowess, and innovative thinking.

The Project Manager will be responsible for overseeing and executing industrial and manufacturing projects within the chemical industry, ensuring timely completion within budget constraints. The role will involve coordinating with various teams, managing resources, and ensuring high standards of safety and compliance.

The role of Sr. Engineering Manager- DevOps involves leading and managing DevOps initiatives to ensure seamless application deployment and infrastructure efficiency. This position in Bengaluru requires a strong understanding of DevOps practices and the ability to drive operational excellence in the technology sector.

This role leads capital goods procurement for new and ongoing projects, focusing on project and routine Capex, vendor development, cost optimization, and digitalization of procurement processes. It requires strong engineering knowledge, cross-functional collaboration, and strategic leadership to ensure timely, value-driven, and system-compliant procurement outcomes.

This position is Leader of Human Resource Function for Global Capability Centre in India, based out of Engineering Centre at Pune Location. Is responsible for driving Talent Development, DEI (Diversity, Engagement & Inclusion) and Change Management Agenda for the engineering functions locally, apart from driving culture and people process integration of the different engineering centres in scope.

As a Senior Test Engineer at Bupa Technology, you will take ownership of quality engineering activities within squad to deliver periodic releases. With automation-first mindset you will be collaborating closely with cross-functional teams, you will design, execute, and maintain comprehensive test plans, defect co-ordination and test completion report. proactively identify quality risks early in the development process.

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

As a Lead Test Engineer, you will drive the quality engineering strategy across crews/program level, ensuring the delivery of Bupa releases on time. Leveraging technical expertise and leadership capabilities, you will define and implement test strategies, automation practices, and mentor team members to uplift testing maturity. You will collaborate with cross-functional stakeholders to identify risks early and optimize testing frameworks.

Drive global project imports from port to plant-own compliance, cost, and delivery for critical engineering and capital equipment. Be the strategic link between supply chain, engineering, and execution in high-impact manufacturing projects.

The Digital Delivery Lead (AVP/DVP) will oversee the engineering and delivery of core digital platforms, including the sales website and customer app, leading a team of 15+ developers to build scalable, high-performance systems. This role requires strong technical leadership, hands-on expertise in modern web and mobile technologies, and a proven track record in agile project execution.

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

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

Platform owner who manages the overall platform with his/her Engineering skills and experience, having sound product & business acumen, strong stakeholder management. Platform owner will guide and mentor multiple engineer teams acting as a catalyst for faster business delivery by streamlining and simplifying processes, monitoring engineering productivity

The purpose of the Data Engineering specialist is to build and unit test code for Projects and Programmes on Azure Cloud Data and Analytics Platform

The Technical Engineering Center Bangalore is one of our fastest growing engineering centers. Moving from a mechanical focus, our fastest growing domain in Bangalore is now software engineering.

We're looking for an experienced AVP - Sr Test Architect to lead and define the quality engineering strategy across multiple domains, focusing on both automation and performance testing. This role requires hands-on leadership, cross-functional collaboration, and technical depth in both UI/backend automation and performance engineering.