associate software dev engineer Jobs in Mangaluru

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Google

<div>
 
 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>
 <li>
 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
 </li>
 <li>
 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
 </li>
 <li>
 Experience in Artificial Intelligence, Software Engineering, Machine Learning, Data Analysis.
 
 
 </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>
 <li>
 Experience with Large Language Models.
 
 
 </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. The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Write product or system development code.
 </li>
 <li>
 Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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>
 <li>
 Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
 
 
 
 </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, AI/ML, AI Innovation and Research

SentiSum

<div>
 
 At SentiSum, we&rsquo;re building the AI-native
 
 Voice Of Customer platform,
 
 helping top consumer brands understand why customers churn and what to do about it. We turn noisy support tickets, reviews, chats, and surveys into clear retention signals.
 
 
 
 
 
 We&rsquo;re looking for a&nbsp;
 
 Product Specialist
 
 &nbsp;to sit at the intersection of product, customers, and AI. Your job is to make sure customers not only onboard successfully, but also&nbsp;
 
 adopt and get real value
 
 &nbsp;from our platform. You&rsquo;ll configure our AI, insight reports, and craft prompts that unlock insights.
 
 
 
 
 
 
 What you&rsquo;ll do
 
 
 
 
 
 <ul>
 <li>
 Lead customer onboarding: configure datasets, platform, and workflows for fast time-to-value
 </li>
 <li>
 Drive adoption: ensure customers use the product deeply and see measurable impact
 </li>
 <li>
 Become an expert in&nbsp;
 
 AI prompt engineering,
 
 designing and refining prompts to deliver accurate, actionable insights
 </li>
 <li>
 Partner with Customer Success and Product to translate customer needs into product improvements
 </li>
 <li>
 Champion simplicity: make advanced AI features intuitive and useful for non-technical users
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 
 
 
 <ul>
 <li>
 3&ndash;6 years in a
 
 customer-facing product role
 
 (Solutions, or Product Specialist) at a SaaS or AI-driven company
 </li>
 <li>
 Hands-on experience with
 
 AI tools and prompt engineering
 
 (configuring LLMs, fine-tuning prompts, or similar applied AI work)
 </li>
 <li>
 Background in
 
 onboarding, adoption, or solution setup
 
 and driving usage and measurable impact
 </li>
 <li>
 Comfortable working with data and product configuration (no heavy coding required, but technical curiosity essential)
 </li>
 <li>
 Bonus: Startup experience where you&rsquo;ve worn multiple hats and moved fast to deliver customer value
 </li>
 </ul>
 
 
 
 
 Salary: 15 - 25 lac fixed + bonus + ESOPs
 
</div>

Product Specialist (AI & Adoption)

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Work with broader team to build, analyze and improve the AI solutions.
 </li>
 <li>
 You will also work with our software developers in consuming different enterprise applications.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
 </li>
 <li>
 Proficient in Python with focus on Data Analytics Packages.
 </li>
 <li>
 Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions.
 </li>
 <li>
 Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
 </li>
 <li>
 Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience with conversation analytics. Experience with cloud technologies
 </li>
 <li>
 Experience with data exploration tools such as Tableu
 </li>
 </ul>
</div>

Data Scientist-Artificial Intelligence

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology
 
 
 
 Your Role And Responsibilities
 
 
 
 An AI Data Scientist at IBM is not just a job title &ndash; it&rsquo;s a mindset. You&rsquo;ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.
 
 
 We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable.
 
 
 Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive.
 
 
 
 Day-to-Day Duties
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC
 </li>
 <li>
 Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.
 </li>
 <li>
 Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus.
 </li>
 <li>
 Experience and working knowledge in COBOL &amp; JAVA would be preferred
 </li>
 <li>
 Having experience in Code generation, code matching &amp; code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.)
 </li>
 <li>
 Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI.
 </li>
 <li>
 Growth mindset: Demonstrate a growth mindset to understand clients' business processes and challenges.
 </li>
 <li>
 Experience in python and pyspark will be added advantage
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Experience: Proven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.
 </li>
 <li>
 Strong track record in scientific publications or open-source communities
 </li>
 <li>
 Experience in full AI project lifecycle, from research and prototyping to deployment in production environments
 </li>
 </ul>
</div>

Psyche Graphics W.L.L. Bahrain

<div>
 
 About Us
 
 
 
 Mercari is a Japan-based C2C marketplace company founded in 2013 with the mission to "Create value in a global marketplace where anyone can buy &amp; sell." From being the first tech unicorn from Japan before its IPO in 2018 we have come a long way towards becoming a global player and continuously and diligently work towards our transformation journey with a strong focus on our mission.
 
 
 Since its inception, Mercari Group has worked to grow its services, investing in both our people and technology. Over time Mercari has expanded from being the top player in the C2C marketplace in Japan to new geographies like the U.S. We have also successfully launched new businesses such as Merpay, which is a mobile payment service platform with a vision to create a society where anyone can realize their dreams through a new ecosystem centered not only on payment service but also on credit. Today, Mercari Group is made up of multiple subsidiary businesses including logistics, B2C platform, blockchain, and sports team management.
 
 
 For our services to be utilized by people worldwide; however, there is still a mountain of work ahead of us. This endeavor naturally requires the capability of the best talent and minds, and that is exactly the reason for us to launch the India Center of Excellence. With your help, we will continue to take on the world stage and strive to grow into a successful global tech company.
 
 
 
 Our Culture
 
 
 
 To achieve our mission at Mercari, our organization and each of our employees share the same values and perspectives. Our individual guidelines for action are defined by our four values: Go Bold, All for One, Be a Pro and Move Fast. Our organization is also shaped by our four foundations: Sustainability, Diversity &amp; Inclusion, Trust &amp; Openness, and Well-being for Performance. Regardless of how big Mercari gets, the culture will remain essential to achieving our mission and something we want to preserve throughout our organization. We invite you to read the Mercari Culture Doc which summarizes the behaviors and mindset shared by Mercari and its employees. We continue to build an environment where all of our members of diverse backgrounds are accepted and recognized, and where they can thrive while holding dear to Mercari's culture.
 
 
 
 Work Responsibilities
 
 
 
 As an AI Engineer in our new AI Taskforce team, you will be at the forefront of designing, developing, and deploying innovative AI applications using foundation models (e.g., Large Language Models, Multimodal Models) across Mercari. You will build foundational platforms and services that empower product teams to ship robust, scalable AI-powered features. This role is crucial for bridging the gap between cutting-edge research and production systems that deliver measurable value to millions of users, directly contributing to our mission to "Create value in a global marketplace where anyone can buy &amp; sell."
 
 
 
 Bold Challenges
 
 
 
 <ul>
 <li>
 Build Foundational AI Services: Design, build, and deploy core generative AI applications and services using modern techniques like prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning to solve high-impact problems across the Mercari ecosystem
 </li>
 <li>
 Drive AI Adoption: Collaborate closely with product, engineering, and infrastructure teams to integrate powerful AI capabilities into the Mercari app, architecting modular and scalable solutions that other teams can build upon
 </li>
 <li>
 Ensure AI Quality and Safety: Develop and champion robust evaluation pipelines to rigorously measure, monitor, and improve model performance, focusing on accuracy, latency, cost, and responsible AI principles
 </li>
 <li>
 Lead the Full AI Lifecycle: Own features end-to-end, from problem scoping and prototyping to production deployment, maintenance, and iteration based on quantitative metrics and qualitative user feedback
 </li>
 <li>
 Innovate and Educate: Be a key technical voice on our new central team. Stay at the forefront of advancements in AI engineering and share your knowledge to help uplift the technical capabilities of the entire organization
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 2-6 years of professional software engineering experience, with a demonstrated focus on building and deploying AI/ML-powered systems in production
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field
 </li>
 <li>
 Proficiency in Python and hands-on experience building applications with Large Language Models (LLMs) and familiarity with core concepts such as prompt engineering, RAG, and fine-tuning
 </li>
 <li>
 Experience building Model Context Protocol(MCP) servers in either Python or Go
 </li>
 <li>
 Solid understanding of software engineering fundamentals and the ability to write clean, maintainable, and production-ready code
 </li>
 <li>
 Strong problem-solving skills and a data-driven approach to decision-making
 </li>
 <li>
 Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders across multiple teams.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience designing and implementing systematic evaluation strategies for generative AI systems (e.g., AI-as-judge, human-in-the-loop)
 </li>
 <li>
 Experience with cloud platforms (GCP, AWS, etc.) and containerization technologies (Docker, Kubernetes)
 </li>
 <li>
 Contributions to open-source projects or publications in top-tier AI/ML conferences
 </li>
 <li>
 Experience with microservice architecture and development
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Employment Status: Full-time
 </li>
 <li>
 Office: Bangalore
 </li>
 <li>
 Hybrid workstyle: We believe in high performance and professionalism. We work from the office 2 days/week and work from home 3 days/week
 </li>
 <ul>
 <li>
 To build a strong &amp; highly-engaged organization in India, we highly encourage everyone to work from our Bangalore office, especially during the initial office setup phase
 </li>
 <li>
 We will continue to review and update the policy to address future organizational needs
 </li>
 </ul>
 <li>
 Work Hours: Full flextime (no core time)
 </li>
 <ul>
 <li>
 Flexible to choose working hours other than team common meetings
 </li>
 </ul>
 </ul>
</div>

AI Engineer

HDFC Bank

<div>
 
 
 Job Purpose
 
 
 
 An experienced AI/ML Engineer to design, develop and maintain AI / ML and GenAI based solutions on enterprise platform on Industry best and open-source models at scale along with governance and security frameworks
 
 
 
 Job Responsibilities (JR): 6 &ndash; 8 Areas
 
 
 
 
 Actionable (4-6)
 
 
 <ul>
 <li>
 Design and implement the necessary infrastructure (e.g., compute clusters, storage, networking) for AI applications, including cloud platforms like AWS, Azure, or GCP
 </li>
 <li>
 Design, build, and train generative AI models using techniques like deep learning and neural networks
 </li>
 <li>
 Develop and maintain scalable, efficient, and reliable data pipelines for AI models, ensuring data quality and integrity.
 </li>
 <li>
 Integrate machine learning models into AI platforms and deploy them into production environments, often using AIOps, MLOps and LLMOps frameworks
 </li>
 <li>
 Design and implement monitoring strategies for AI platforms and optimize their performance for scalability and real-time applications.
 </li>
 <li>
 Perform machine learning tests and statistical analysis to fine-tune the machine learning systems
 </li>
 <li>
 Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, performance evaluation and training of AI/ML solutions Extend existing machine learning libraries and frameworks
 </li>
 <li>
 Implemented and evaluated machine learning models, including supervised, unsupervised, and reinforcement learning techniques, for B2C use cases
 </li>
 <li>
 Strong experience with deep learning frameworks like TensorFlow and PyTorch
 </li>
 <li>
 Used Python or other programming models to build and train a deep learning model for Document Classification, Extraction, Signature matching, STT, TTS kind of use cases
 </li>
 <li>
 Demonstrated ability to fine-tune and optimize models using large data sets
 </li>
 <li>
 Certified in AI/ML in any of the cloud platforms like AWS, Azure, or GCP and experience deploying AI/ML models in the cloud
 </li>
 <li>
 Effective communication skills, both written and verbal, with the ability to effectively communicate technical concepts to non-technical audiences
 </li>
 </ul>
 
 
 Key Skills :
 
 
 <ul>
 <li>
 Strong background in designing and implementing machine learning and deep learning algorithms and responsible AI practices at enterprise scale and speed
 </li>
 <li>
 Working knowledge with ML platforms like TensorFlow, PyTorch, or Hugging Face
 </li>
 <li>
 Proficiency in Training, Tuning and Deploying GenAI models based on LLMs, GANs, and VAEs
 </li>
 <li>
 Hands on expert in programming languages like Python, Java, or C++, and have experience with cloud platforms, containerization technologies (e.g., Docker, Kubernetes), and data pipeline tools (e.g., Apache Kafka, Spark)
 </li>
 <li>
 Experience working in cross-functional teams
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 </ul>
 
 
</div>

AI / ML Engineer

<div>
 
 We help the world run better
 
 
 
 At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
 
 
 
 Role Description
 
 
 
 <ul>
 <li>
 Experience with various LLM architecture design using RAG, MCP and hybrid models
 </li>
 <li>
 Good understanding of choosing the right ML algorithms based on business problems.
 </li>
 <li>
 Experience in prototyping Ai solutions including having a good understanding of data vectorizations and or feature designs
 </li>
 <li>
 Collaborate with SAP external customers specifically Retail, Manufacturing.. to drive workshops and outline AI use-cases. Develop PRD&rsquo;s to clearly communicate requirements to the Engineering teams.
 </li>
 <li>
 Leverage AI to solve pressing business challenges for our enterprise customers
 </li>
 <li>
 Use the various Ai Studios to quickly create a proposed prototype for both neural networks and Agentic Ai use cases
 </li>
 <li>
 Partner with leadership, customers, and prospects to identify opportunities where AI can deliver value at scale for multiple SAP customers to build end to end processes using AI
 </li>
 <li>
 Define and track key business metrics that demonstrate the business impact
 </li>
 <li>
 Collaborate with our engineering and development teams working on AI technologies, UX designers and GTM teams to accelerate bringing products to the market.
 </li>
 <li>
 Develop customer facing multi-modal Generative AI demos specific to use cases and document the script, set-up environment for partners and solution architects to leverage.
 </li>
 <li>
 Conduct hands-on market research to validate requirements and ensure we're building solutions that address real customer needs and market opportunities
 </li>
 <li>
 Document what you know and guide others. This can vary from building targeted training for partners, Solutions Architects, and other internal stakeholders, to writing blogs, and to simply working through hard problems with a customer on a whiteboard.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5+ years of product management expertise with a proven track record of shipping
 </li>
 <li>
 2+ years of and hands on building generative AI models and shipping at scale
 </li>
 <li>
 Experience building conversational tools and chatbots
 </li>
 <li>
 Experience working with customers and building long-term strong relationships.
 </li>
 <li>
 Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into complex projects.
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Experience successfully partnering with Data Science teams
 </li>
 <li>
 Passion for directly engaging with customers&mdash;from requirements gathering to demos and sales support
 </li>
 <li>
 Experience working and guiding product and engineering teams distributed globally
 
 
 </li>
 </ul>
 
 Bring out your best
 
 
 
 SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
 
 We win with inclusion
 
 
 
 SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
 
 SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
 
 
 For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
 
 
 Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 433531 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
</div>

AI Product Specialist

Explore 146+ Artificial intelligence specialist in Mangaluru this October. Find roles across top companies and apply now to boost your career.

146 artificial intelligence specialist jobs IN Mangaluru

Software Engineer, AI/ML, AI Innovation and Research

Product Specialist (AI & Adoption)

Data Scientist-Artificial Intelligence

Data Scientist-Artificial Intelligence

AI Engineer

AI / ML Engineer

AI Product Specialist