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senior software engineer Jobs in Mangaluru

senior software engineer

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software development engineer

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ai engineer

automation engineer

<div>
 At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we&rsquo;ll give you what you need to make it happen. It won&rsquo;t always be easy, growing takes grit. But at ABB, you&rsquo;ll never run alone. Run what runs the world.
 
 
 This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we&rsquo;ve announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you&rsquo;ll be part of a pioneering team shaping the future of robotics&mdash;working alongside world-class experts in a fast-moving, innovation-driven environment.
 
 
 This Position reports to:
 
 
 Project Manager
 
 
 
 
 
 
 
 Your Role And Responsibilities
 
 
 
 In this role, you will have the opportunity to act as commissioning lead for high complex projects. Each day, you will ensure completion of all commissioning activities effectively and cost-efficiently and in accordance with contract specifications, quality standards, safety requirements, and cybersecurity policies and standards. You will also showcase your expertise by providing technical solutions to meet current and emerging business and customer requirements.
 
 
 The work model for the role is:
 
 
 This role is contributing to the Robotics &amp; Discrete Automation in Bangalore, India.
 
 
 You will be mainly accountable for:
 
 
 <ul>
 <li>
 Design, develop, and customize PLC programs using Ladder Logic, Structured Text, and other IEC 61131-3 languages for various machinery and production lines.
 </li>
 <li>
 Integrate PLCs with sensors, actuators, HMIs, SCADA systems, and ensure seamless communication using industrial protocols like Modbus, Profibus, and Ethernet/IP.
 </li>
 <li>
 Perform on-site commissioning, testing, troubleshooting, and maintenance of PLC-controlled systems; travel up to 80% across India based on project requirements.
 </li>
 <li>
 Prepare and maintain technical documentation including wiring diagrams, program logic, user manuals, and operating guides using MS Office tools.
 </li>
 <li>
 Collaborate with cross-functional teams and ensure compliance with safety standards while coordinating with vendors and customers for timely support and delivery.
 
 
 
 </li>
 </ul>
 
 Qualifications For The Role
 
 
 
 <ul>
 <li>
 Diploma or Bachelor&rsquo;s degree in Mechanical or Production Engineering
 </li>
 <li>
 5+ years of experience in Bodyshop/Chassis shop installation and commissioning, preferably in automotive or automation industries
 </li>
 <li>
 Strong expertise in handling Spot-Welding jigs, Arc welding fixtures, Roller hemming fixtures, with sound knowledge of BIW processes
 </li>
 <li>
 Proficient in PLC programming using Ladder Logic, Structured Text, and Function Block Diagram (FBD)
 </li>
 <li>
 Hands-on experience with PLC platforms such as Siemens (TIA Portal, Step 7), Allen-Bradley (RSLogix, Studio 5000), and Mitsubishi
 </li>
 <li>
 Skilled in HMI/SCADA development using tools like Wonderware, WinCC, and Ignition
 </li>
 <li>
 Familiarity with industrial communication protocols including Modbus, Profibus, Ethernet/IP, OPC UA, and CANopen
 </li>
 <li>
 Strong electrical knowledge including reading schematics and working with sensors, actuators, relays, and motor controls
 
 
 
 </li>
 </ul>
 
 More About Us
 
 
 ABB Robotics &amp; Discrete Automation Business area provides robotics, and machine and factory automation including products, software, solutions and services. Revenues are generated both from direct sales to end users as well as from indirect sales mainly through system integrators and machine builders. www.abb.com/robotics
 
 
 We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.
 
 
 
 Fraud Warning:
 
 Any genuine offer from ABB will always be preceded by a formal application and interview process.
 
 
 We never ask for money from job applicants.
 
 
 For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
 
 
 Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.
</div>

PLC Engineer

Okta

<div>
 
 Get to know Okta
 
 
 
 Okta is The World&rsquo;s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.
 
 
 At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences.
 
 
 Join our team! We&rsquo;re building a world where Identity belongs to you.
 
 
 We are looking for a Senior Software engineer who is passionate about writing the tools to integrate and support to build large-scale, high-demand software in a fast-paced agile environment with a devops mindset . You will share our passion for test-driven development, continuous integration and automation to produce frequent high-quality releases.
 
 
 Our engineering team is fast, innovative and flexible; with a weekly release cycle and individual ownership. We believe in pushing boundaries and embracing emerging technologies, and you will be part of the team that is constantly evolving and scaling our Developer experience and Infrastructure to the next level.
 
 
 You will get an opportunity to work in scaling our infrastructure to the next generation. Our scale is already huge in running tens of thousands of tests for every commit automatically managing hundreds and thousands of compute nodes across AWS and GCP environments . This comes with challenges in speed by reducing compute time from days to a few minutes.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 Major areas of responsibility include:
 
 
 <ul>
 <li>
 You will be part of the team that manages the large scale distributed infrastructure across AWS and GCP, supporting a variety of tools and technologies that serve the needs of the entire organization.
 </li>
 <li>
 You will be part of the team that builds, maintains, and improves our highly-automated build, release and testing infrastructure.
 </li>
 <li>
 Scripting, tools-building, and automation are paramount to Okta Engineering; everybody automates. You will be creating and coding tools for internal use to support continuous delivery.
 </li>
 <li>
 Team up with Development, QA and OPS to continuously innovate and enhance our build and automation infrastructure
 </li>
 <li>
 Collaborate with peers and stake-holders to create new tools/process/technology. We use the latest technology from AWS and you can experiment, recommend, and implement new technologies in our build and CI system.
 </li>
 <li>
 Work with internal customers to roll-out projects and process, monitor adoption, collect feedback, and fine-tune the project to respond to internal customers&rsquo; needs
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 5+ years of a solid background in Software Engineering and Operations.
 </li>
 <li>
 Problem solving skills on one of the programming languages(Python/Golang/NodeJs)
 </li>
 <li>
 You approach problem from DevOps mindset
 </li>
 <li>
 You have hands-on experience managing distributed infrastructure in AWS/GCP.
 </li>
 <li>
 Solid understanding and hands-on experience of CI/CD release pipelines.
 </li>
 <li>
 Experience in Kubernetes
 </li>
 <li>
 Experience with AWS, its services, and its supporting tools (cost control, reporting, environment management).
 </li>
 <li>
 Ability to coordinate cross-functional work toward task completion.
 
 
 </li>
 </ul>
 
 Education and Training:
 
 
 
 <ul>
 <li>
 B.S. in CS or equivalent
 
 
 </li>
 </ul>
 P22402_3165303
 
 
 
 What you can look forward to as a Full-Time Okta employee!
 
 
 
 <ul>
 <li>
 Amazing Benefits
 </li>
 <li>
 Making Social Impact
 </li>
 <li>
 Developing Talent and Fostering Connection + Community at Okta
 
 
 </li>
 </ul>
 Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.
 
 
 Some roles may require travel to one of our office locations for in-person onboarding.
 
 
 Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
 
 
 If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
 
 
 Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
 
 
</div>

Senior Software Engineer

HCLTech

<div>
 
 
 Job Title:
 
 
 
 
 ML Ops Engineer / ML Engineer
 
 
 
 Experience - 5Yrs -20 Yrs
 
 
 Location - Chennai / Bangalore / Hyderabad / Pune / Noida / Mumbai/
 
 
 
 
 
 
 Job Overview:
 
 
 
 We are looking for an experienced MLOps Engineer to help deploy, scale, and manage machine learning models in production environments. You will work closely with data scientists and engineering teams to automate the machine learning lifecycle, optimize model performance, and ensure smooth integration with data pipelines.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Transform prototypes into production-grade models
 
 
 <ul>
 <li>
 Assist in building and maintaining machine learning pipelines and infrastructure across cloud platforms such as AWS, Azure, and GCP.
 </li>
 <li>
 Develop REST APIs or FastAPI services for model serving, enabling real-time predictions and integration with other applications.
 </li>
 <li>
 Collaborate with data scientists to design and develop drift detection and accuracy measurements for live models deployed.
 </li>
 <li>
 Collaborate with data governance and technical teams to ensure compliance with engineering standards.
 </li>
 </ul>
 
 
 Maintain models in production
 
 
 <ul>
 <li>
 Collaborate with data scientists and engineers to deploy, monitor, update, and manage models in production.
 </li>
 <li>
 Manage the full CI/CD cycle for live models, including testing and deployment.
 </li>
 <li>
 Develop logging, alerting, and mitigation strategies for handling model errors and optimize performance.
 </li>
 <li>
 Troubleshoot and resolve issues related to ML model deployment and performance.
 </li>
 <li>
 Support both batch and real-time integrations for model inference, ensuring models are accessible through APIs or scheduled batch jobs, depending on use case.
 </li>
 </ul>
 
 
 Contribute to AI platform and engineering practices
 
 
 <ul>
 <li>
 Contribute to the development and maintenance of the AI infrastructure, ensuring the models are scalable, secure, and optimized for performance.
 </li>
 <li>
 Collaborate with the team to establish best practices for model deployment, version control, monitoring, and continuous integration/continuous deployment (CI/CD).
 </li>
 <li>
 Drive the adoption of modern AI/ML engineering practices and help enhance the team&rsquo;s MLOps capabilities.
 </li>
 <li>
 Develop and maintain Flask or FastAPI-based microservices for serving models and managing model APIs.
 </li>
 </ul>
 
 
 
 
 
 Minimum Required Skills:
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, analytics, mathematics, statistics.
 </li>
 <li>
 Strong experience in Python, SQL, Pyspark.
 </li>
 <li>
 Solid understanding and knowledge of containerization technologies (Docker, Podman, Kubernetes).
 </li>
 <li>
 Proficient in CI/CD pipelines, model monitoring, and MLOps platforms (e.g., AWS SageMaker, Azure ML, MLFlow).
 </li>
 <li>
 Proficiency in cloud platforms, specifically AWS, Azure and GCP.
 </li>
 <li>
 Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
 </li>
 <li>
 Familiarity with batch processing integration for large-scale data pipelines.
 </li>
 <li>
 Experience with serving models using FastAPI, Flask, or similar frameworks for real-time inference.
 </li>
 <li>
 Certifications in AWS, Azure or ML technologies are a plus.
 </li>
 <li>
 Experience with Databricks is highly valued.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Ability to work in a team-oriented, collaborative environment.
 </li>
 </ul>
 
 
 
 
 
 Tools and Technologies:
 
 
 
 
 Model Development &amp; Tracking:
 
 TensorFlow, PyTorch, scikit-learn, MLflow, Weights &amp; Biases
 
 
 
 Model Packaging &amp; Serving:
 
 Docker, Kubernetes, FastAPI, Flask, ONNX, TorchScript
 
 
 
 CI/CD &amp; Pipelines:
 
 GitHub Actions, GitLab CI, Jenkins, ZenML, Kubeflow Pipelines, Metaflow
 
 
 
 Infrastructure &amp; Orchestration:
 
 Terraform, Ansible, Apache Airflow, Prefect
 
 
 
 Cloud &amp; Deployment:
 
 AWS, GCP, Azure, Serverless (Lambda, Cloud Functions)
 
 
 
 Monitoring &amp; Logging:
 
 Prometheus, Grafana, ELK Stack, WhyLabs, Evidently AI, Arize
 
 
 
 Testing &amp; Validation:
 
 Pytest, unittest, Pydantic, Great Expectations
 
 
 
 Feature Store &amp; Data Handling:
 
 Feast, Tecton, Hopsworks, Pandas, Spark, Dask
 
 
 
 Message Brokers &amp; Data Streams:
 
 Kafka, Redis Streams
 
 
 
 Vector DB &amp; LLM Integrations (optional):
 
 Pinecone, FAISS, Weaviate, LangChain, LlamaIndex, PromptLayer
 
</div>

Machine Learning Engineer

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 Salary range: Rs 600000 - Rs 800000 (ie INR 6-8 LPA)
 
 
 
 Min Experience: 0 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are looking for a passionate and motivated
 
 AI Engineer
 
 to join our growing team. This role is ideal for individuals who are eager to build a career in artificial intelligence and machine learning. You will work closely with data scientists, engineers, and product teams to design, develop, and deploy AI-driven solutions that power intelligent products and business applications.
 
 
 You will contribute to projects across various AI domains &mdash; including natural language processing (NLP), computer vision, recommendation systems, and predictive analytics &mdash; while continuously learning and applying state-of-the-art algorithms and tools.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 AI Model Development: Design, implement, and train machine learning and deep learning models to solve business problems across different use cases.
 </li>
 <li>
 Data Preparation &amp; Feature Engineering: Work with large and diverse datasets to collect, clean, preprocess, and transform data for model training and evaluation.
 </li>
 <li>
 Algorithm Optimization: Experiment with different algorithms, hyperparameters, and architectures to improve model performance and efficiency.
 </li>
 <li>
 Model Deployment &amp; Integration: Collaborate with backend and DevOps teams to deploy AI models into production using frameworks like TensorFlow Serving, PyTorch, ONNX, or Docker.
 </li>
 <li>
 Research &amp; Innovation: Stay up to date with advancements in AI research and tools. Apply innovative techniques from recent papers, open-source projects, or frameworks to improve business processes.
 </li>
 <li>
 Cross-Functional Collaboration: Work with product managers and software engineers to understand business requirements and translate them into technical solutions.
 </li>
 <li>
 Performance Monitoring: Evaluate models on real-world data, monitor drift, and continuously fine-tune and retrain models to maintain accuracy and reliability.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or related field.
 </li>
 <li>
 0-3 years of hands-on experience in machine learning, AI development, or data-driven software engineering.
 </li>
 <li>
 Proficiency in programming languages such as Python (preferred) or R, with experience using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
 </li>
 <li>
 Strong understanding of machine learning algorithms, neural networks, data preprocessing, and statistical analysis.
 </li>
 <li>
 Experience with model evaluation metrics, data visualization tools (Matplotlib, Seaborn, Power BI), and version control systems like Git.
 </li>
 <li>
 Basic understanding of cloud platforms such as AWS, GCP, or Azure, especially their AI/ML services.
 </li>
 <li>
 Familiarity with APIs, REST frameworks, and data pipelines is a plus.
 </li>
 <li>
 Excellent problem-solving ability, curiosity, and eagerness to learn emerging AI technologies.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Exposure to NLP (transformers, text classification, embeddings) or Computer Vision (CNNs, object detection).
 </li>
 <li>
 Internship or project experience involving AI/ML model deployment or end-to-end data workflows.
 </li>
 <li>
 Knowledge of MLOps tools (e.g., MLflow, Kubeflow) or containerization using Docker
 </li>
 </ul>
</div>

AI Engineer

Unifize

<div>
 
 Backend Engineer - AI Platform
 
 
 
 Job Location: Bangalore, India
 
 
 Experience : 3 - 5 years
 
 
 
 About Unifize:
 
 
 
 At Unifize, we're building the AI-native product suite for regulated manufacturing companies. Our platform is designed to unify Quality, Operations, and R&amp;D in a single collaborative system.
 
 
 Today, life sciences and other regulated manufacturers rely on a patchwork of disconnected tools, eg, QMS, DMS, PLM, MES, spreadsheets, and email, to manage their processes. This fragmentation slows down innovation, increases compliance risks, and forces teams to waste time manually connecting the dots.
 
 
 Unifize changes that by bringing process, documentation, and communication together in one place. Whether it's managing CAPAs, resolving deviations, launching new products, or preparing for audits, Unifize enables teams to work faster with full traceability and audit readiness built in.
 
 
 What makes Unifize different:
 
 
 <ul>
 <li>
 No-code configuration for rapid deployment and adaptation
 </li>
 <li>
 Collaboration embedded in every record, not siloed in email or chat
 </li>
 <li>
 Context-aware AI that suggests actions, detects risks, and enhances productivity
 </li>
 <li>
 Flexible architecture that supports expansion across QMS, DMS, MES, PLM, CMMS, and more
 
 
 </li>
 </ul>
 We're already working with leading companies in the life sciences and manufacturing sectors. Our customers start with one use case and consistently expand, with 100% net expansion to date.
 
 
 Check out our website, case studies, videos to learn more.
 
 
 
 The Role:
 
 
 
 We're building a new AI Platform microservice that integrates tightly with our core Clojure-based system. This role involves leading backend development for this service, primarily in Python, working on AI/ML integrations and microservices architecture, and ensuring robust data handling via PostgreSQL.
 
 
 We don't expect prior experience with Clojure but value curiosity and a willingness to learn. This role is a good fit for engineers who enjoy ownership, functional programming principles, and building infrastructure that powers intelligent applications.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Own and build Python-based backend services that interface with AI models and core product workflows
 </li>
 <li>
 Design and manage scalable PostgreSQL and vector database schemas and queries
 </li>
 <li>
 Develop and maintain RESTful APIs
 </li>
 <li>
 Collaborate with the platform and frontend teams to ensure clean integration with the larger Unifize system
 </li>
 <li>
 Contribute to design decisions, including service boundaries, API structure, and data pipelines
 </li>
 <li>
 Write clean, well-tested code and proactively review others' work
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Strong proficiency in Python, with emphasis on clean, modular design
 </li>
 <li>
 Solid understanding of relational databases, particularly PostgreSQL
 </li>
 <li>
 Experience designing and consuming LLM APIs and writing integrations with them - having understanding of RAG, vectorisation
 </li>
 <li>
 Familiarity with architectural principles behind modern web applications
 </li>
 <li>
 Ability to work in a fast-paced environment with a collaborative, product-focused team
 
 
 </li>
 </ul>
 
 Good to have:
 
 
 
 <ul>
 <li>
 Understanding of AI/ML model integrations and workflows in production environments
 </li>
 <li>
 Experience with functional or functional-style programming (e.g., Clojure, Elixir, Scala, Java 8+)
 </li>
 <li>
 Exposure to distributed systems and microservices
 </li>
 <li>
 Familiarity with message queues, job orchestration, or asynchronous processing
 </li>
 </ul>
</div>

Backend Engineer - AI

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 3000000 - Rs 4000000 (ie INR 30-40 LPA)
 
 
 
 Min Experience: 5 years
 
 
 Location: Bengaluru
 
 
 JobType: full-timeWe are seeking an experienced
 
 Data Engineer
 
 to design, build, and maintain robust data pipelines and architectures that power analytics, interoperability, and data-driven decision-making across our healthcare ecosystem. The ideal candidate will have a strong background in
 
 Azure data services
 
 ,
 
 ETL development
 
 ,
 
 Databricks
 
 , and hands-on experience with
 
 FHIR (Fast Healthcare Interoperability Resources)
 
 standards. This role requires a mix of technical proficiency, problem-solving ability, and a deep understanding of healthcare data integration.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Data Pipeline Development: Design, develop, and optimize scalable ETL/ELT workflows to extract, transform, and load structured and unstructured healthcare data into Azure-based data platforms (e.g., Azure Data Lake, Azure Synapse, Databricks).
 </li>
 <li>
 FHIR Data Integration: Implement and manage FHIR-based data models and APIs for healthcare data interoperability. Ensure compliance with healthcare data standards and regulatory frameworks.
 </li>
 <li>
 Data Architecture &amp; Modeling: Develop logical and physical data models to support data warehousing, reporting, and analytics needs. Ensure data accuracy, integrity, and security across all stages of the data lifecycle.
 </li>
 <li>
 Databricks Development: Build and manage scalable data processing solutions using Azure Databricks. Optimize performance of large-scale data transformations using PySpark, SQL, or Scala.
 </li>
 <li>
 Data Quality &amp; Governance: Establish and maintain data quality frameworks, validation processes, and governance standards. Ensure consistent and compliant data handling across systems.
 </li>
 <li>
 Collaboration &amp; Stakeholder Management: Partner with data scientists, analysts, architects, and business teams to deliver reliable and accessible data assets. Translate business requirements into technical solutions.
 </li>
 <li>
 Performance Optimization: Monitor, troubleshoot, and enhance data pipelines for performance, scalability, and cost efficiency in the Azure environment.
 </li>
 <li>
 Documentation &amp; Best Practices: Maintain detailed documentation of architecture, data flows, and processes. Contribute to continuous improvement by implementing data engineering best practices and automation.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <li>
 Education: Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
 </li>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Strong expertise in Azure Data Services - Azure Data Factory, Azure Synapse, Azure Data Lake, and Azure SQL.
 </li>
 <li>
 Hands-on experience with Databricks for data processing, transformation, and analytics.
 </li>
 <li>
 Proven ability to design and maintain ETL/ELT pipelines using modern data engineering tools and frameworks.
 </li>
 <li>
 Proficiency in SQL, Python, or Scala for data manipulation and automation.
 </li>
 <li>
 Solid understanding of FHIR standards, data schemas, and API integration for healthcare data exchange.
 </li>
 <li>
 Experience with data modeling, metadata management, and data governance frameworks.
 </li>
 <li>
 Familiarity with CI/CD, Git, and DevOps practices in data engineering environments.
 </li>
 <li>
 Experience: 5-10 years of professional experience in data engineering, with at least 2 years of exposure to healthcare or interoperability projects leveraging FHIR.
 </li>
 <li>
 Soft Skills:
 </li>
 <ul>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Ability to work in a fast-paced, agile environment with cross-functional teams.
 
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with HL7, CDA, or other healthcare interoperability standards.
 </li>
 <li>
 Exposure to machine learning data pipelines or advanced analytics environments.
 </li>
 <li>
 Azure certifications (e.g., Azure Data Engineer Associate) are a plus
 </li>
 </ul>
</div>

Data Engineer

Qualcomm

<div>
 
 Company
 
 
 
 Qualcomm India Private Limited
 
 
 
 Job Area
 
 
 
 Facilities &amp; Security Group, Facilities &amp; Security Group &gt; Facilities Engineering
 
 
 
 Qualcomm Overview
 
 
 
 Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in.
 
 
 
 General Summary
 
 
 
 
 Job Description - Building Maintenance Engineer
 
 
 
 
 Job Overview
 
 
 
 A Building Maintenance Engineer is a skilled professional responsible for the safe and efficient functioning of a building and its equipment. They are involved in the upkeep of buildings, including general maintenance, repairs, and the installation of new systems. Qualifications may include experience in engineering, plumbing, electrical work, air conditioning, and interior fit outs. A Building Maintenance Engineer is an important role in businesses and organizations, ensuring that the building is safe and secure while also maintaining the highest standards of building infrastructure. An eye for detail, excellent problem-solving skills, and the ability to think on your feet is vital for this role.
 
 
 
 Building Maintenance Engineer Responsibilities
 
 
 
 <ul>
 <li>
 Maintain the highest standards of quality with cost and time balanced
 </li>
 <li>
 Good communication both oral and written is a must to collaborate with all stakeholders
 </li>
 <li>
 Perform regular inspections and maintenance of building systems to detect and address issues periodically and predictive
 </li>
 <li>
 Should be able to use analytical skills to identify options and implement in quick time
 </li>
 <li>
 Should have the ability to lead, manage and educate internal team of carpenters, plumbers, painters on quality, time and cost
 </li>
 <li>
 Hands on approach
 </li>
 <li>
 Critical thinking to be used for every solution and project to find other options
 </li>
 <li>
 Maintain and educate suppliers on safe and clean work site standards
 </li>
 <li>
 Should be able to work on every repair and maintenance request irrespective of size
 </li>
 <li>
 Conduct repairs on civil and interiors and knowledge of electrical, plumbing, HVAC, and other mechanical systems as needed.
 </li>
 <li>
 Create, track and close a 52 week plan with budget. Work with all stakeholders including finance and procurement teams
 </li>
 <li>
 Work with EHS team to adhere to all safety protocols, regulations, and codes, promoting a culture of safety throughout the organization.
 </li>
 <li>
 Knowledge of OSHA and other safety guidelines are needed
 </li>
 <li>
 Coordinate and track maintenance and repair projects, including managing contractors and vendors and ensuring work is completed to industry standards.
 </li>
 <li>
 Maintain accurate records of maintenance and repair work, including conducting regular equipment inventory and creating maintenance schedules.
 </li>
 <li>
 Respond promptly to maintenance requests and emergencies, troubleshooting issues and implement effective solutions in a timely manner.
 </li>
 <li>
 Stay updated on industry trends and best practices in building maintenance and recommend improvements to enhance facility efficiency and performance.
 </li>
 <li>
 Collaborate with other team members to develop and implement preventive maintenance programs that extend the lifespan of equipment and systems.
 </li>
 <li>
 Knowledge of Industry best practices, standards, methods, materials and costing is critical factor to have.
 </li>
 <li>
 Highest integrity and self-motivation is critical responsibility.
 
 
 
 </li>
 </ul>
 
 Key Deliverables
 
 
 
 <ul>
 <li>
 Value for money
 </li>
 <li>
 Innovative solutions
 </li>
 <li>
 Cost optimization
 </li>
 <li>
 Best in quality repairs and upgrades
 </li>
 <li>
 Predictive schedules
 </li>
 <li>
 Monthly reports
 </li>
 <li>
 Zero Safety Incidents
 </li>
 <li>
 Budget preparation, tracking and reporting
 
 
 
 </li>
 </ul>
 
 Building Maintenance Engineer Qualifications &amp; Skills
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering or a related field.
 </li>
 <li>
 Proven experience working as a Building Maintenance Engineer or in a similar role.
 </li>
 <li>
 In-depth knowledge of building systems, including HVAC,BMS, plumbing, electrical, and fire safety systems.
 </li>
 <li>
 Strong troubleshooting and problem-solving skills to quickly identify and address maintenance issues.
 </li>
 <li>
 Proficient in using maintenance management software and automation
 </li>
 <li>
 Excellent communication and interpersonal skills to effectively coordinate with internal teams, contractors, and vendors.
 </li>
 <li>
 Ability to prioritize tasks, work independently, and manage time effectively.
 </li>
 <li>
 Attention to detail and a commitment to delivering high-quality work.
 </li>
 <li>
 Valid professional license or certification in building maintenance or a related field is preferred.
 
 
 
 </li>
 </ul>
 
 Applicants
 
 : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found
 
 here
 
 . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies:
 
 Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
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