Engineering jobs in India

Embedded Software Engineer

Your Job

• Develop, maintain, and test an embedded software platform used in a broad range of our new products.
• Create technical specifications for new features.
• Deliver detailed designs of software components.
• Review and document the code, utilizing peer-review tools.
• Support projects during the integration and application of the software platform.
• Support the qualification and certification of products.

Professional Competencies and Requirements:

• Proven expertise and practical experience in the design of embedded systems with a solid background in real-time systems.
• Excellent coding skills in C/C++ with programming experience.
• Solid experience with RTOS and real-time analysis.
• Good knowledge of embedded hardware (ARM development boards, Single-Board Computers).
• Previous experience in cyber security and/or functional safety is an advantage.
• Excellent written and spoken English; knowledge of the German language will be considered an advantage.
• Experience with Agile development methodologies

Educational Background: Master's or bachelor's degree in computer science, Electrical Engineering, Automation Technology, or a related field.



Personal Competencies and Requirements:

• Capable of making fast decisions and taking responsibility for results in a dynamic and changing environment.
• Oriented towards achieving goals and results.
• Focused on adding value for internal and/or external clients.
• Team player, able to work in a multicultural working environment.
• Creative thinker with a continuous improvement attitude.
• Flexible, adaptable, and open to change, with a willingness to acquire new knowledge and skills.

You can expect the following with us:

• Motivating compensation and social benefits package
• Opportunity to work on a variety of projects in the field of industrial automation, IIoT and robotics
• Professional development and learning opportunities in high technology and production environment.

Experience Level: 5 - 8 Years

Working Model: Hybrid

Work Location: Bommasandra, Bangalore

Your Responsibilities * Design and maintain frameworks for product classification and automated security requirements mapping * Conduct TARAs (Threat Analysis and Risk Assessment) and security assessments for Festo products * Support product teams in automating the generation of SBOMs (Software Bill of Materials) * Develop and execute test specifications, test cases and test plans for vulnerability testing of Festo products * Conduct penetration testing and basic vulnerability assessment of Festo products * Support documentation of test results and collaborate with the development teams * Support the continuous improvement and automation of security testing * Establish and maintain DevSecOps practices within CI/CD environments and develop automation infrastructure * Support the provision of tools and documentation in the context of SAMM (Software Assurance Maturity Model) * Collaborate with product compliance and development teams to implement and maintain product security measures * Support investigation and mitigation of product-related security incidents (PSIRT) Our Requirements * Education: Bachelor's degree in engineering, Computer Science, Mechatronics, Information Science and Electronics, Cyber Security or equivalent * Mandatory Experience: o Min 2 years of experience in product security, ideally in Industrial Automation or automotive field o Programming knowledge in Python and JavaScript o Basic familiarity with different industrial protocols and PLC systems o Experience with CI/CD practices and DevOps o Basic knowledge of Linux * Nice-to-Have: o Understanding of Secure Development Lifecycle and standards like IEC 62443-3 / 62443-4 o Additional knowledge in programming languages such as C, C++ or Shell scripting o Experience with tools like OpenVAS, Nessus, Nmap, Wireshark, embedded or IOT penetration testing o Experience in embedded domain o Experience in Linux hardening

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