software engineer

engineering manager

software engineer ii

engineer

engineer specials

ai engineer

Capgemini

<div>
 
 Job Description
 
 
 
 
 Required Skills
 
 
 
 <ul>
 <li>
 Experience in AI/ML, Applied Data Science, or related fields.
 </li>
 <li>
 Advanced proficiency in Python (Pandas, NumPy, FastAPI, Async frameworks preferred).
 </li>
 <li>
 Strong experience with Git, GitHub workflows, and collaborative development.
 </li>
 <li>
 Hands-on with LLMs (GPT, Llama, Mistral, Claude, etc.) RAG pipelines, and embeddings.
 </li>
 <li>
 Proficient in LangChain, LlamaIndex, CrewAI, or similar agent frameworks.
 </li>
 <li>
 Experience building AI Agents and Multi-Agent Systems.
 </li>
 <li>
 Strong understanding of software scalability, distributed systems, and enterprise patterns.
 </li>
 <li>
 Practical knowledge of Azure cloud services or other major cloud providers.
 </li>
 <li>
 Familiar with Docker, APIs, microservices, and REST/GraphQL integrations.
 </li>
 <li>
 Exposure to MLOps, CI/CD, monitoring tools, and production workflows.
 
 
 </li>
 </ul>
 
 Desired Skills
 
 
 
 <ul>
 <li>
 Experience with MCP (Model Context Protocol) for agent-based tooling.
 </li>
 <li>
 Databricks, Spark, Delta Lake, and enterprise data platforms.
 </li>
 <li>
 Experiment tracking (MLflow), vector databases (Pinecone/FAISS), or Neo4j.
 </li>
 <li>
 Experience with autonomous workflow tools like n8n, Airflow, or Temporal.
 
 
 </li>
 </ul>
 
 Mandatory Skills
 
 
 
 Python, Pandas/Numpy/FastAPI, LLM, cloud Services, MLOps
 
 
 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.
</div>

Data Scientist

<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>
 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
 </li>
 <li>
 Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
 </li>
 <li>
 In this role, your responsibilities may include:
 </li>
 <li>
 Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
 </li>
 <li>
 Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements
 </li>
 <li>
 Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours.
 </li>
 <li>
 Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions.
 </li>
 <li>
 Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another
 </li>
 <li>
 Document solution architectures, design decisions, implementation details, and lessons learned.
 </li>
 <li>
 Stay up to date with the latest trends and advancements in AI, foundation models, and large language models.
 </li>
 <li>
 Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <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
 </li>
 <li>
 Demonstrate a growth mindset to understand clients' business processes and challenges
 </li>
 </ul>
</div>

Data Scientist-Advanced Analytics

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>
 </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

Recro

<div>
 
 
 Job Description
 
 
 
 We are looking for a skilled Generative AI Developer to join our Controls Technology team
 
 
 and contribute to the development and integration of innovative generative AI solutions. In
 
 
 this role, you&rsquo;ll work closely with senior developers, AI architects, and business
 
 
 stakeholders to deliver impactful AI-driven features and products.
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Implement and fine-tune generative AI models under the guidance of senior team
 
 
 members.
 
 
 &bull; Contribute to prompt engineering and development of AI-powered workflows.
 
 
 &bull; Assist with the deployment, monitoring, and maintenance of AI models in
 
 
 production environments.
 
 
 &bull; Collaborate with data scientists and engineers to ensure seamless integration of AI
 
 
 capabilities.
 
 
 &bull; Perform data preprocessing, feature engineering, and API development for AI
 
 
 applications.
 
 
 &bull; Participate in code reviews, testing, and documentation to ensure quality and
 
 
 reliability.
 
 
 &bull; Stay updated with advancements in GenAI and share relevant learnings with the
 
 
 team.
 
 
 
 Required Technical Skills:
 
 
 
 &bull; Hands-on experience with at least one major machine learning framework (PyTorch,
 
 
 TensorFlow, Keras).
 
 
 &bull; Familiarity with LLMs, prompt engineering, and fine-tuning (e.g., LoRA, QLoRA).
 
 
 &bull; Exposure to RAG systems and basic knowledge of hybrid search techniques.
 
 
 &bull; Understanding of model deployment and containerization (Docker).
 
 
 &bull; Proficiency in Python for AI development, data preprocessing, and scripting.
 
 
 &bull; Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a
 
 
 plus.
 
 
 &bull; Understanding of version control systems (Git).
 
 
 &bull; Awareness of AI compliance, data privacy, and responsible AI principles.
 
 
 Required Soft Skills:
 
 
 &bull; Strong teamwork and communication abilities.
 
 
 &bull; Willingness to learn new AI/ML technologies and frameworks.
 
 
 &bull; Analytical mindset and attention to detail.
 
 
 &bull; Openness to feedback and continuous improvement.
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s degree or Master&rsquo;s degree in Computer Science, Data Science, AI, or a
 
 
 related field.
 
 
 &bull; 3&ndash;5 years of professional experience in AI/ML development, with exposure to
 
 
 Generative AI.
 
 
 &bull; Experience delivering AI/ML projects in a collaborative setting.
 
 
 &bull; Exposure to cloud-based AI/ML environments (AWS, GCP, or Azure) is a plus.
 
</div>

Machine Learning Engineer

Aditi Consulting

<div>
 
 
 
 
 Required Skills/Experience:
 
 
 
 <ul>
 <li>
 
 
 Core Skills: Experience delivering AIML production systems, conversational AI, LLMs, GPT models.
 
 
 </li>
 <li>
 
 
 Programming: Python and AIML libraries.
 
 
 </li>
 <li>
 
 
 Cloud/Platforms: Azure AI, Snowflake.
 
 
 </li>
 <li>
 
 
 Key Concept: Agent workflow - automating tasks by chaining AI agents (e.g., for recruitment sourcing).
 
 
 </li>
 <li>
 
 
 Traditional ML: Ability to build, train, and deploy custom ML models.
 
 
 </li>
 <li>
 
 
 Vector Database: Hands-on experience with vector databases for semantic search and efficient data retrieval in RAG implementations.
 
 
 </li>
 <li>
 
 
 Snowflake Cortex: Strong experience in Snowflake, specifically Snowflake Cortex for building internal UIs and applications. 1-2 years hands-on experience in Snowflake is sufficient.
 
 
 </li>
 <li>
 
 
 LLMs Used: Azure AI (GPT-4, GPT 4.2), exploring Gemini Pro. Traditional models include Llama-based models (e.g., 70 billion parameters).
 
 
 </li>
 <li>
 
 
 Data Sources: Primarily Snowflake data lake, potentially Azure and AWS S3.
 
 
 </li>
 <li>
 
 
 Financial Background: Good to have experience in financial or regulated industries, or an understanding of finance-related business questions.
 
 
 </li>
 <li>
 
 
 Testing: Basic unit testing and generation of unit test cases are required.
 
 
 </li>
 </ul>
 
 &nbsp;
 
 
 #AditiConsulting
 
 
 
 #26-00546
 
 
 
</div>

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.
 
 
 
 The team:
 
 
 
 AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
 
 
 AI &amp; Data professionals will work with our clients to:
 
 
 <ul>
 <li>
 Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
 </li>
 <li>
 Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
 </li>
 <li>
 Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3 - 10 years of hands-on experience in technology Consulting experience
 </li>
 <li>
 Experience developing Classes, OOPS, exception handling, parallel processing.
 </li>
 <li>
 Strong knowledge of DB connectivity, data loading, transformation, calculation.
 </li>
 <li>
 Concurrency and error handling data pipeline batch of size [1-10 gb].
 </li>
 <li>
 Ability to understand business requirements and translate them into technical requirements.
 </li>
 <li>
 Ability to design architecture of data pipeline for concurrent data processing.
 </li>
 <li>
 Familiar with creating/designing RESTful services and APIs.
 </li>
 <li>
 Familiar with application unit tests.
 </li>
 <li>
 Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services.
 </li>
 <li>
 Debugging application.
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Good Understanding of fundamental design principles behind a scalable application
 </li>
 <li>
 Good Understanding of accessibility and security compliance
 </li>
 <li>
 Familiarity with event-driven programming in Python
 </li>
 <li>
 Proficient understanding of code versioning tools (Git, Mercurial or SVN)
 </li>
 <li>
 Knowledge of PowerShell and SQL Server
 </li>
 <li>
 Good Knowledge of user authentication and authorization between multiple systems, servers, and environments
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 
 Location:
 
 
 
 Bengaluru/Hyderabad/Pune/Chennai
 
 
 
 #AIE2026
 
 
 
 #AI&amp;Data2026
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 322086
</div>

Python Data Engineer-Hyderabad,Bengaluru,Pune,Chennai

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 Barclays
 
 to connect them with exceptional tech professionals for this role.
 
 
 
 Embark on a transformative journey as a &ldquo;Software Engineer&rdquo; at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. At Barclays, we don't just anticipate the future - we're creating it.
 
 
 Network Assurance &amp; AI is a new engineering team within the newly formed Network OSS &amp; Tools functional unit in the Network Product domain at Barclays. The Network Assurance &amp; AI Engineering team is responsible for the design, build and run of the zero-touch operations, closed loop auto-remediation and AIOps capabilities for network assurance and observability of the Barclays Global Network.
 
 
 To be successful in this role, you should have below skills:
 
 
 <ul>
 <li>
 Java Proficiency (Java 17+) and Spring Ecosystem (Spring MVC, Data JPA, Security etc) with strong SQL and NoSQL integration expertise. Strong knowledge of runtime (virtualisation, containers and Kubernetes) and expertise with test driven development.
 </li>
 <li>
 Strong knowledge of CI/CD pipelines and tooling : Github Actions, Jenkins, Gitlab CI or similar. Monitoring and Observability - logging/tracing and alerting with knowledge of integrations into opensource tooling like grafana/ELK etc.
 </li>
 <li>
 Demonstrable expertise with large scale streaming pipeline-based RCA and Remediation
 
 
 </li>
 </ul>
 
 Some Other Highly Valued Skills May Include Below
 
 
 
 <ul>
 <li>
 Expertise building ELT pipelines and cloud/storage integrations - data lake/warehouse integrations (redshift, BigQuery, snowflake etc).
 </li>
 <li>
 Expertise with security, secure coding practice and Performance Optimization - JVM tuning, performance profiling, caching, lazy loading, rate limiting and high availability in large datasets.
 </li>
 <li>
 Expertise in Public, Private and Hybrid Cloud technologies (DC, AWS, Azure, GCP etc) and across broad Network domains (Fixed and Wireless)
 
 
 </li>
 </ul>
 You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
 
 
 This role is based in our Bengaluru and Pune office.
 
 
 
 Purpose of the role
 
 
 
 To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
 
 
 
 Accountabilities
 
 
 
 <ul>
 <li>
 Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
 </li>
 <li>
 Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
 </li>
 <li>
 Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
 </li>
 <li>
 Stay informed of industry technology trends and innovations and actively contribute to the organization&rsquo;s technology communities to foster a culture of technical excellence and growth.
 </li>
 <li>
 Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
 </li>
 <li>
 Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
 
 
 </li>
 </ul>
 
 Assistant Vice President Expectations
 
 
 
 <ul>
 <li>
 To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
 </li>
 <li>
 Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
 </li>
 <li>
 If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others.
 </li>
 <li>
 OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
 </li>
 <li>
 Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
 </li>
 <li>
 Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
 </li>
 <li>
 Take ownership for managing risk and strengthening controls in relation to the work done.
 </li>
 <li>
 Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
 </li>
 <li>
 Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
 </li>
 <li>
 Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
 </li>
 <li>
 Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
 </li>
 <li>
 Influence or convince stakeholders to achieve outcomes.
 
 
 </li>
 </ul>
 All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.
</div>

Software Engineer

Explore 157+ Ai engineer in Mangaluru this March. Find roles across top companies and apply now to boost your career.

157 ai engineer jobs In Mangaluru

Data Scientist

Data Scientist-Advanced Analytics

Software Engineer III, Google Cloud

Machine Learning Engineer

Data Scientist

Python Data Engineer-Hyderabad,Bengaluru,Pune,Chennai

Software Engineer