software engineer

production engineer

associate engineer

associate project engineer Jobs in Mangaluru

associate project engineer

design engineer

ai engineer

InvestCloud, Inc.

<div>
 About the Team You will be joining the newly formed AI, Data &amp; Analytics team, primarily responsible as a Data Scientist leading various projects within the small AI team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on &ldquo;enhanced intelligence&rdquo;. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team.
 
 
 We are seeking a Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role, working as part of a team both locally in India and globally, you will integrate AI and ML solutions into the InvestCloud product suite.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Implement applications powered by Generative AI and Machine Learning models and deploy them in production
 </li>
 <li>
 Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment
 </li>
 <li>
 Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders
 </li>
 <li>
 Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI.
 </li>
 <li>
 Analyze large datasets to identify patterns, trends, and insights that can inform business decisions.
 </li>
 <li>
 Work with 3rd party providers of AI products to evaluate and implement solutions achieving Investcloud&rsquo;s business objectives.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience
 </li>
 <li>
 At least two years of professional experience in Data Science, Machine Learning and AI
 </li>
 <li>
 Outstanding communications skills in English
 </li>
 <li>
 Proficiency in programming in Python
 </li>
 <li>
 Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain)
 </li>
 <li>
 Knowledge of data preprocessing, feature engineering, and model evaluation metrics
 </li>
 <li>
 Experience using large language models, generative AI and agentic frameworks (this may be at work or in personal projects)
 </li>
 <li>
 Experience in database technologies (Oracle, PostgreSQL)
 </li>
 <li>
 Working experience developing and deploying Machine Learning models in production
 </li>
 <li>
 Working experience with Git and Docker
 </li>
 <li>
 Working proficiency in English
 </li>
 <li>
 Ability to work in a fast-paced environment, working across multiple projects simultaneously
 </li>
 <li>
 Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect.
 </li>
 <li>
 Practical, get-things done mentality within our controls environment.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Working experience with Vector Database Technologies
 </li>
 <li>
 Experience working with Snowflake and/or Databricks
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure
 
 
 </li>
 </ul>
 
 What Do We Offer
 
 
 
 Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience.
 
 
 Location and Travel The ideal candidate will be expected to work from the office.
 
 
 Compensation The salary range will be determined based on experience, skills, and geographic location.
 
 
 Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.
</div>

Data Scientist

Google

<div>
 Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
 
 Bengaluru, Karnataka, India; Hyderabad, Telangana, India
 
 .
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Master's degree or PhD in Computer Science or related technical fields.
 </li>
 <li>
 2 years of experience with data structures or algorithms.
 </li>
 <li>
 Experience developing accessible technologies.
 
 
 </li>
 </ul>
 
 About the job
 
 Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
 With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
 
 
 The AI and Infrastructure team works on the world&rsquo;s toughest problems, redefining what&rsquo;s possible and the possible easy. We empower Google customers by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Googler Cloud customers, and billions of Google users worldwide. We&rsquo;re at the center of amazing work at Google by being the &ldquo;flywheel&rdquo; that enables our advanced AI models, delivers computing power across global services, and offers platforms that developers use to build services.
 
 
 In AI and Infrastructure, we shape the future of hyperscale computing by inventing and creating world-leading future technology, and drive global impact by contributing to Google infrastructure, from software to hardware (including building Vertex AI for Google Cloud). We work on complex technologies at a global scale with key players in the AI and systems space. Join a team of talented individuals who not only work together to keep data centers operating efficiently but also create a legacy of driving innovation by building some of the most complex systems technologies.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
 </li>
 <li>
 Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
 </li>
 <li>
 Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
 </li>
 <li>
 Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Software Engineer III, Google Cloud

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 
 Job Description
 
 
 
 We are looking for an Senior Staff Machine Learning Engineer to play a pivotal role as a technical leader within the LSS AI team. This role goes beyond building models- you will set the technical direction, own the AI roadmap, and lead initiatives that push the boundaries of what's possible in enterprise AI. You will combine deep research expertise with the ability to build production-grade ML systems at scale, partnering across engineering, product, and research to deliver transformative AI solutions.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of state-of-the-art ML systems across search, recommendations, generative AI, reinforcement learning, and LLMs for Sales Navigator.
 </li>
 <li>
 Define and drive the technical roadmap and architecture for end-to-end AI systems within LSS, ensuring scalability, reliability, and innovation.
 </li>
 <li>
 Research, fine-tune, and adapt large language models (LLMs) and build agentic AI systems that enable reasoning, planning, and decision-making for sales professionals.
 </li>
 <li>
 Partner with product, design, and other engineering teams to align AI solutions with business strategy and maximize impact.
 </li>
 <li>
 Drive cross-functional collaborations with horizontal AI and platform teams to leverage foundational tools and scale adoption of innovations across LinkedIn.
 </li>
 <li>
 Mentor and guide engineers, fostering a culture of craftsmanship, innovation, and technical excellence.
 </li>
 <li>
 Represent LinkedIn in external venues (papers, conferences, workshops) by showcasing advances in applied AI research and engineering.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 MS/PhD degree in Computer Science or related technical discipline, or equivalent practical experience.
 </li>
 <li>
 12+ years of experience in machine learning, artificial intelligence, or related fields.
 </li>
 <li>
 8+ years in an architect or technical leadership role driving large-scale AI initiatives.
 </li>
 <li>
 Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.
 </li>
 <li>
 Expertise in at least one of: LLMs, generative AI, search/recommendations, reinforcement learning, or large-scale deep learning.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 15+ years of experience building and scaling machine learning systems in production.
 </li>
 <li>
 Proven experience in pre-training and fine-tuning LLMs, including domain-specific adaptations.
 </li>
 <li>
 Strong software engineering skills (Python, Java, C++, or similar), with the ability to design robust, scalable systems.
 </li>
 <li>
 Track record of influencing product and technical strategy through AI/ML innovation.
 </li>
 <li>
 Publications, patents, or open-source contributions in machine learning, NLP, or related areas.
 
 
 
 </li>
 </ul>
 Suggested Skills
 
 
 <ul>
 <li>
 Machine Learning
 </li>
 <li>
 Large Language Models
 </li>
 <li>
 Generative AI
 </li>
 <li>
 Search &amp; Recommendations
 </li>
 <li>
 Reinforcement Learning
 </li>
 <li>
 Technical Leadership
 </li>
 <li>
 Cross-Functional Collaboration
 
 
 
 </li>
 </ul>
 You Will Benefit from Our Culture
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Sr. Staff Software Engineer, Machine Learning

Microsoft

<div>
 
 Overview
 
 
 
 Are you inspired to constantly push the edges of web UX? Are you looking to join a team of talented engineers developing a next-generation user interface? Do you want to be an integral part of Microsoft's mission to be a leader in the cloud? We are part of the Microsoft Specialized Cloud organization delivering at-scale customer experience for all Edge solutions &ndash; Azure Local (formerly Azure Stack HCI), Arc Workload Orchestration, Site Manager, Azure Local Catalog, Jumpstart.Azure Local is a hyperconverged infrastructure (HCI) operating system delivered as an Azure service. It provides the latest security, performance, and hybrid capabilities, which now include Azure Arc enablement and new management scenarios through the Azure portal.Workload orchestration for Azure Arc is a comprehensive, cloud-native, cross-platform service engine that simplifies the deployment, management, and update of application workloads across edge environments.Our team is at the forefront of Edge + AI innovation, building secure, reliable, and scalable technologies to manage edge devices globally.With the rapid rise of Edge AI, we are building intelligent systems that bring machine learning and inference closer to the data source, enabling real-time decision-making, ultra-low latency experiences, and secure, scalable edge deployments. By seamlessly integrating AI capabilities into Azure Edge solutions, we empower customers to run complex models on cloud or locally, optimize performance, and unlock new scenarios where cloud and edge intelligence work hand in hand.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 As a software Engineer II, you will Design, develop, and deliver high-quality, performant, and accessible front-end experiences for Azure Edge solutions
 </li>
 <li>
 Collaborate closely with designers, product managers, and other engineers to bring new features to life
 </li>
 <li>
 Participate in code reviews, testing, debugging, and deployment
 </li>
 <li>
 Take ownership of well-defined problem areas and deliver reliable solutions with guidance from senior engineers
 </li>
 <li>
 Help maintain and improve existing systems and infrastructure to ensure high availability and performance
 </li>
 <li>
 Contribute to a culture of continuous learning, experimentation, and improvement
 </li>
 <li>
 Leverage AI-powered experiences such as agentic UIs to create smarter, more adaptive user workflows
 </li>
 <li>
 Automate repetitive and redundant tasks to improve developer velocity and system efficiency
 </li>
 <li>
 Take initiative to identify opportunities for scaling solutions horizontally across multiple edge and hybrid products
 </li>
 <li>
 This role is embedded in a supportive company culture that offers ample opportunities for career advancement and learning across various domains We highly value qualities such as passion, creativity, a thirst for acquiring knowledge in complex technical domains, agility, and accountability
 </li>
 <li>
 Joining a team of motivated and talented individuals, you will play a pivotal role in an environment that encourages personal and professional growth. This opportunity not only challenges you but also allows you to influence the narrative of Adaptive Cloud at Microsoft
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualification:
 
 
 <ul>
 <li>
 A bachelor&rsquo;s degree in computer engineering, Computer Science, or a related field
 </li>
 <li>
 4+ years of software development and hands-on in frontend development using Typescript or JavaScript
 </li>
 <li>
 Deep expertise in React/Redux
 </li>
 <li>
 Excellent coding, debug, and analytical problem-solving skills
 </li>
 <li>
 Deep expertise in developing web apps, mobile apps
 
 
 </li>
 </ul>
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 Demonstrated experience of developing scalable products
 </li>
 <li>
 Experience troubleshooting, investigating, and fixing production issues in large scale cloud and/or hosted environments.
 </li>
 <li>
 Sense of ownership and continuous improvement mindset.
 </li>
 <li>
 Experience writing code to automate day-to-day tasks.
 </li>
 <li>
 Experience in developing cloud services
 </li>
 <li>
 Experience in developing AI powered solutions
 </li>
 <li>
 Past contributions to Open-source libraries
 </li>
 <li>
 Skills in priority setting, analysis, communication, time management, scheduling, and multitasking
 </li>
 <li>
 Solid foundation in both software and systems engineering.
 </li>
 <li>
 Experience in building infrastructure using Microsoft Azure technology.
 </li>
 <li>
 Proven verbal and written communication skills.
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
 
 
 Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Software Engineer II

AuxoAI

<div>
 AuxoAI is hiring a Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems, including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Own the full ML lifecycle: model design, training, evaluation, deployment.
 </li>
 <li>
 Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection.
 </li>
 <li>
 Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines.
 </li>
 <li>
 Build agentic workflows for reasoning, planning, and decision-making.
 </li>
 <li>
 Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark.
 </li>
 <li>
 Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines.
 </li>
 <li>
 Collaborate with product and engineering teams to integrate AI models into business applications.
 </li>
 <li>
 Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of experience in designing, deploying, and scaling ML/DL systems in production.
 </li>
 <li>
 Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
 </li>
 <li>
 Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines.
 </li>
 <li>
 Familiarity with agent-based development (e. g., ReAct agents, function-calling, orchestration).
 </li>
 <li>
 Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows.
 </li>
 <li>
 Strong software engineering background with experience in testing, version control, and APIs.
 </li>
 <li>
 Proven ability to balance innovation with scalable deployment.
 </li>
 <li>
 B. S. /M. S. /Ph. D. in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Bonus: Open-source contributions, GenAI research, or applied systems at scale.
 
 
 </li>
 </ul>
 This job was posted by Anupam Arya from AuxoAI.
</div>

Data Scientist - AI / ML

PwC Acceleration Center India

<div>
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
 
 
 The Opportunity
 
 
 When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you&rsquo;ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You&rsquo;ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
 
 
 As part of the AI Engineering team you will design and deliver innovative AI applications that transform business operations. As a Senior Associate, you will collaborate with cross-functional teams to develop scalable solutions, driving enterprise innovation while staying at the forefront of emerging technologies and industry trends.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement innovative AI applications to improve business operations
 </li>
 <li>
 Collaborate with cross-functional teams to develop scalable solutions
 </li>
 <li>
 Stay abreast of emerging technologies and industry trends
 </li>
 <li>
 Analyze business requirements to inform application development
 </li>
 <li>
 Provide technical guidance and support to team members
 </li>
 <li>
 Drive enterprise innovation through successful project execution
 </li>
 <li>
 Confirm solutions meet quality standards and client expectations
 </li>
 <li>
 Contribute to knowledge sharing and practices within the team
 
 
 </li>
 </ul>
 What You Must Have
 
 
 <ul>
 <li>
 Bachelor's Degree
 </li>
 <li>
 3 years of experience in Data Science/ML/AI roles
 </li>
 <li>
 Oral and written proficiency in English
 
 
 </li>
 </ul>
 What Sets You Apart
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Engineering
 </li>
 <li>
 Hands-on experience with Generative AI solutions
 </li>
 <li>
 Proficiency in Python and data science libraries
 </li>
 <li>
 Familiarity with cloud platforms like Azure
 </li>
 <li>
 Understanding of production-level AI systems
 </li>
 <li>
 Experience with Docker and containerized deployments
 </li>
 <li>
 Knowledge of NLP techniques and transformer architectures
 </li>
 <li>
 Demonstrated track record of delivering AI-driven solutions
 </li>
 <li>
 Experience in deploying AI models via APIs
 </li>
 </ul>
</div>

Data Scientist- Sr Associate

Data Scientist / ML Engineer

Explore 236+ Ai engineer in Mangaluru this December. Find roles across top companies and apply now to boost your career.