software engineer

design engineer

mechanical design engineer Jobs in Mangaluru

mechanical design engineer

assistant engineer - mechanical Jobs in Mangaluru

assistant engineer - mechanical

electronics engineer

ai engineer

Capgemini

<div>
 <ul>
 <li>
 Develop and implement Generative AI / AI solutions on Google Cloud Platform
 </li>
 <li>
 Work with cross-functional teams to design and deliver AI-powered products and services
 </li>
 <li>
 Work on developing, versioning and executing Python code
 </li>
 <li>
 Deploy models as endpoints in Dev Environment
 </li>
 <li>
 Must Have Skills
 </li>
 <li>
 Solid understanding of python
 </li>
 <li>
 Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX
 </li>
 <li>
 Experience with natural language processing (NLP) and machine learning (ML)
 </li>
 <li>
 Experience on Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc
 </li>
 <li>
 Hands on experience with Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc
 </li>
 <li>
 Familiarity with Prompt Design and prompt tuning for Generative AI models
 </li>
 <li>
 Ability to work on Vector Data Stores, custom embeddings and generate insights based on embeddings
 </li>
 <li>
 Exposure and familiarity in developing endpoints and frameworks like Flask or FastAPI
 </li>
 <li>
 Exposure and familiarity in using BigQuery (Basic understanding)
 </li>
 <li>
 Hands-on experience with using LangChain - Chain of Thoughts, tools, simple and sequential chain
 </li>
 </ul>
 
 
</div>

Software Engineer

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 A Data Scientist applies analytical, statistical, and computational techniques to collect, clean, analyze, extract insights from data and support data-driven decision-making. This role involves working with large-scale datasets to build models, uncover trends, and collaborate with cross-functional teams to improve digital products and services.
 
 
 <ul>
 <li>
 Supports data science initiatives by applying analytical and technical expertise to solve product and platform-related challenges.
 </li>
 <li>
 Collaborates with sales order management teams, technology teams, and business stakeholders to translate requirements into scalable data science solutions
 </li>
 <li>
 Writes efficient, maintainable production-ready code and partners with technology teams to deploy models and data pipelines into live environments.
 </li>
 <li>
 Develops machine learning models and data-driven solutions that improve system performance, user engagement, or operational efficiency.
 
 
 </li>
 </ul>
 Problem Solving &ndash; Identifies technical and analytical challenges in digital systems, explores multiple approaches, and selects optimal solutions to improve product outcomes.
 
 
 <ul>
 <li>
 Artificial Intelligence Ethics &ndash; Applies ethical principles to ensure fairness, transparency, and accountability in AI-driven features and data usage.
 </li>
 <li>
 Programming &ndash; Develops and maintains code using Python, R, and/or SQL to support data processing, analysis, and model development.
 </li>
 <li>
 Data Analysis &ndash; Analyzes structured and unstructured data to uncover patterns, trends, and insights that inform product and business decisions.
 </li>
 <li>
 Data Wrangling &ndash; Cleans, transforms, and prepares raw data from various sources for analysis and modeling.
 </li>
 <li>
 Statistics &ndash; Applies statistical techniques to validate hypotheses, measure feature impact, and support experimentation.
 </li>
 <li>
 Algorithms &ndash; Implements machine learning algorithms for use in cases such as classification, regression, clustering, or forecasting.
 </li>
 <li>
 Communication &ndash; Translates complex data findings into clear narratives and visualizations using tools like Power BI, tailored to technical and non-technical audiences. Business Understanding &ndash; Aligns data science work with product goals, user needs, and business KPIs to maximize impact.
 </li>
 <li>
 Automation &ndash; Utilizes tools such as Power-BI, Power Automate to streamline data workflows and operational processes.
 </li>
 <li>
 Research &ndash; Explores emerging tools, techniques, and methodologies to enhance the effectiveness and scalability of data science solutions.
 </li>
 <li>
 Metrics Creation &ndash; Designs and monitors performance metrics to evaluate the success of models, features, and business initiatives.
 
 
 </li>
 </ul>
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Data Scientist

CoffeeBeans

<div>
 
 
 About CoffeeBeans Consulting
 
 
 
 CoffeeBeans is a tech-driven software consulting company that helps businesses solve complex problems using modern data, AI, and engineering solutions. We blend deep technical expertise with a product mindset to build scalable, intelligent, and high-impact solutions across industries. Our data science team works on end-to-end delivery&mdash;from exploration and modeling to GenAI application development and deployment.
 
 
 
 
 
 
 
 
 
 
 
 Role Overvi
 
 
 
 ewAs an L2 Data Scientist, you will play a hands-on role in delivering production-grade ML and GenAI-powered applications. You are expected to independently take ownership of data science components within client projects, contribute to solutioning and design, and mentor junior team members. You will work across a range of use cases such as personalization, fraud detection, intelligent automation, RAG pipelines, and LLM-based assistant
 
 
 s.This role is ideal for someone who has proven experience in both traditional ML and an emerging understanding of LLMs and generative AI application
 
 
 
 
 
 
 
 
 
 s.
 
 
 Key Responsibili
 
 
 
 
 tiesML &amp; Data Sci
 
 
 <ul>
 <li>
 enceOwn and deliver ML model development, tuning, and evaluation for client-facing proje
 </li>
 <li>
 cts.Lead exploratory data analysis, data preprocessing, and feature engineering with minimal supervis
 </li>
 <li>
 ion.Build models using appropriate ML techniques (classification, regression, clustering, recommendation) and ensure performance meets business expectati
 </li>
 <li>
 ons.Contribute to experimentation frameworks and model reproducibility best practi
 </li>
 </ul>
 
 
 
 
 
 ces.
 
 GenAI &amp; LLM Applica
 
 
 <ul>
 <li>
 tionsDesign and prototype GenAI solutions using LLMs (e.g., OpenAI, Claude, Mistral, Ll
 </li>
 <li>
 ama).Build RAG pipelines, prompt templates, few-shot learning prompts, and evaluation mechanisms for GenAI sys
 </li>
 <li>
 tems.Integrate LLMs with APIs, vector databases (e.g., Pinecone, FAISS, Weaviate), and context provi
 </li>
 <li>
 ders.Contribute to benchmarking, safety, and cost-performance trade-offs in LLM app develop
 </li>
 </ul>
 
 
 
 
 
 ment.
 
 Product &amp; Engineering Collabo
 
 
 <ul>
 <li>
 rationCollaborate with engineering teams to take models from experimentation to deployment (batch/real-
 </li>
 <li>
 time).Assist in building APIs and data pipelines needed for productionizing m
 </li>
 <li>
 odels.Contribute to technical documentation, explainability reports, and client presenta
 </li>
 </ul>
 
 
 
 
 
 tions.
 
 Team &amp;
 
 
 <ul>
 <li>
 GrowthMentor junior data scientists and review code/model
 </li>
 <li>
 design.Stay current with advances in ML and GenAI to inform solution design and share knowledge inte
 </li>
 <li>
 rnally.Participate in discovery and solutioning phases with clients alongside tech leads a
 </li>
 </ul>
 
 
 
 
 
 
 
 
 nd PMs.
 
 
 Required Skills &amp; Quali
 
 
 <ul>
 <li>
 ficationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Engineering, Statistics, or a relat
 </li>
 <li>
 ed field.3&ndash;5 years of hands-on experience in applied data science, including both ML model development and GenAI-based sol
 </li>
 <li>
 utioning.Strong command over Python and ML libraries (scikit-learn, XGBoost, LightGB
 </li>
 <li>
 M, etc.).Experience working with LLM APIs (OpenAI, Cohere, Claude, etc.) and frameworks (LangChain, LlamaIndex, or
 </li>
 <li>
 similar).Hands-on experience with prompt engineering, RAG workflows, and evaluating LLM
 </li>
 <li>
 outputs.Proficiency in SQL and data wrangling tools (pandas
 </li>
 <li>
 , NumPy).Experience working with REST APIs, Git, and cloud environments (
 </li>
 </ul>
 
 
 
 
 
 
 
 
 AWS/GCP).
 
 
 Good-to-
 
 
 <ul>
 <li>
 Have SkillsExperience with deploying models via FastAPI, Docker, or serverless
 </li>
 <li>
 platforms.Knowledge of MLOps tools (MLflow, DVC) and monitoring
 </li>
 <li>
 frameworks.Experience with embeddings, vector databases, and similar
 </li>
 </ul>
 
 
 
 
 
 
 
 
 ity search.
 
 
 What You Can Expect a
 
 
 <ul>
 <li>
 t CoffeeBeansWork on real-world AI/ML problems acro
 </li>
 <li>
 ss verticals.Be part of a fast-moving team delivering end-to-end ML &amp;
 </li>
 <li>
 ; GenAI apps.Collaborate with experienced engineers and PMs in a flat and
 </li>
 <li>
 open culture.Opportunities to lead, mentor, and influence te
 </li>
 </ul>
 
 
 
 ch direction.
</div>

ShareChat

<div>
 
 
 Who are we and What do we do?
 
 
 
 ShareChat (https://sharechat.com/about) is India's largest homegrown social media company, with 325+ million monthly active users across all its platforms including Moj, a leading short video app which was launched in a record 30 hours.
 
 
 Founded in October 2015, with a vision of building an inclusive community that encourages &amp; empowers each individual to share their unique journey and valuable experiences with confidence.
 
 
 We are spearheading India's internet revolution by building products through world-class AI &amp; tech to evangelize the content ecosystem for India in regional languages.
 
 
 We believe in complete ownership of problem-solving while committing to speed and integrity in everything we do. We place the utmost importance on user empathy &amp; strive to work towards creating a world-class experience for them every day. Join us to drive how the next billion users will interact on the internet!
 
 
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Design and develop systems that serve ad recommendations to over 300 million users
 </li>
 <li>
 Develop and maintain scalable and efficient machine learning systems and pipelines for data processing, feature extraction, model training, and deployment
 </li>
 <li>
 Develop highly scalable feature pipelines aimed at ad prediction systems, which associate ads with users according to relevance, while maximizing revenue for ShareChat
 </li>
 <li>
 Improve system design and architecture to ensure high stability and performance
 </li>
 <li>
 Build monitoring dashboards to keep a check on healthy functioning of critical services and jobs responsible for powering suggestions across different real estates on the application
 </li>
 <li>
 Enhance team&rsquo;s productivity and efficiency by contributing to modular code development, tools, libraries and easy to follow technical documents
 </li>
 <li>
 Collaborate with other teams to build tools and platforms to enhance ML engineering productivity
 </li>
 <li>
 Partner with peers and work in an environment that support your growth
 </li>
 </ul>
 
 
 
 
 
 Who are you?
 
 
 <ul>
 <li>
 2-4 years of experience in a consumer facing large scale application
 </li>
 <li>
 Strong CS fundamentals with a track record of writing production-quality code in a modern high-level programming language
 </li>
 <li>
 Excellent coding skills in at least one of Go, Python, NodeJS, C/C++, Java, Scale
 </li>
 <li>
 Experience in automated software testing
 </li>
 <li>
 Experience using cloud-based open source tools in Linux/Unix environments (GCP is a plus)
 </li>
 <li>
 Strong communication skills
 </li>
 <li>
 Experience with distributed systems, scalable data processing frameworks (e.g., Spark,Kafka) and noSQL systems (e.g., HBase, Cassandra) are a plus
 </li>
 <li>
 Experience in AI/ML and distributed systems is a plus
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Where will you be?
 
 
 
 Bangalore
 
 
 
 
 
 
 What's in it for you?
 
 
 
 At ShareChat, our values - Ownership, Speed, User Empathy, Integrity, and First Principles - are at the core of our ways of working. We believe in hiring top talent and grooming future leaders by providing a flexible environment to aid growth and development. We also offer several benefits to our employees - like ESOPs, monthly childcare allowance for women employees, insurance coverage, and more.
 
</div>

SDE-2

Oracle

<div>
 
 Job Description
 
 
 
 Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.
 
 
 
 Responsibilities
 
 
 
 Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer/partner. Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned.
 
 
 
 Qualifications
 
 
 
 Career Level - IC4
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Applied Scientist 4

<div>
 At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
 
 
 
 Job Description
 
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.
 
 
 <ul>
 <li>
 Applies scientific methods to analyse and solve software engineering problems.
 </li>
 <li>
 He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.
 </li>
 <li>
 His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
 </li>
 <li>
 The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.
 </li>
 <li>
 The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 </li>
 </ul>
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
</div>

C++ QT Developer

Danaher Corporation

<div>
 At first glance, you&rsquo;ll see Danaher&rsquo;s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms&mdash;life sciences, diagnostics, and biotechnology.
 
 
 Look again and you&rsquo;ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You&rsquo;ll find associates who are as certain about their impact as they are about where they&rsquo;re headed next.
 
 
 You&rsquo;ll find the Danaher Business System, which makes everything possible. You&rsquo;ll also see a company that investors trust&mdash;our culture of continuous improvement has helped us outperform the S&amp;P 500 by more than 5,000% over the past 25 years.
 
 
 The Senior Supply Chain Data Scientist will join the Supply Chain AI team, reporting to Principal Supply Chain AI Scientist. This role is responsible for developing and deploying OR, ML and AI models to optimize supply chain functions across the enterprise. This role will be working remotely.
 
 
 
 In this role, you will have the opportunity to:
 
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of OR/AI/ML models tailored to supply chain subject areas such as demand forecasting and sensing, inventory optimization, transportation and logistics routing, supplier risk prediction, production planning and network optimization.
 </li>
 <li>
 Develop and deploy generative AI models for supply chain use cases, fine-tuning large pre-trained LLMs, evaluating modeling performance; continuously iterate and optimize the solutions.
 </li>
 <li>
 Collaborate with cross-functionally with supply chain, engineering, IT, and business solution implementation team to align technical solutions with business needs.
 </li>
 <li>
 Partners with solution architect engineer to enable appropriate data flow/data model, development using appropriate tools/technology to ensure rapid prototyping, testing and deployment
 </li>
 <li>
 Ensure models are robust, scalable, and production ready with clear monitoring and feedback loops.
 </li>
 <li>
 Stay ahead of the curve on related emerging technologies and bring innovative approaches to supply chain optimization
 
 
 </li>
 </ul>
 
 The essential requirements of the job include:
 
 
 
 <ul>
 <li>
 PhD or Master&rsquo;s degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in applied OR/AI/ML roles, with at least 3 years focused on supply chain problems
 </li>
 <li>
 Strong expertise in optimization, regression, classification, time series, deep learning.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, Scala or similar
 </li>
 <li>
 Strong hands-on knowledge in developing/implementing Operations Research models and Machine Learning models to solve supply chain related problems
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms such as AWS, Snowflake etc.
 </li>
 <li>
 Strong communication skills to engage with technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 It would be a plus if you also possess previous experience in:
 
 
 
 <ul>
 <li>
 Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions is preferred.
 </li>
 <li>
 Experience with AI agent solution development
 </li>
 <li>
 Familiarity with ERP enterprise supply chain systems like Oracle, SAP
 
 
 </li>
 </ul>
 Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
 
 
 For more information, visit www.danaher.com.
</div>

Senior Data Scientist, Supply Chain

Explore 131+ Ai engineer in Mangaluru this September. Find roles across top companies and apply now to boost your career.

131 ai engineer jobs IN Mangaluru

Software Engineer

Data Scientist

Data Scientist

SDE-2

Applied Scientist 4

C++ QT Developer

Senior Data Scientist, Supply Chain