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High-CTR: Senior AI/ML Engineer Careers at Unisys - Bangalore, Karnataka | Apply Now!

Unisys

High-CTR: Senior AI/ML Engineer Careers at Unisys - Bangalore, Karnataka | Apply Now!

full-timePosted: Feb 17, 2026

Job Description

## Senior AI/ML Engineer at Unisys: Transforming the Future of Technology Are you a passionate and experienced AI/ML engineer eager to make a significant impact on the world through innovative technology? Do you thrive in a fast-paced, collaborative environment where you can leverage your expertise to solve complex problems and build cutting-edge solutions? If so, Unisys is looking for a talented Senior AI/ML Engineer to join our dynamic team in Bangalore, Karnataka, India. In this role, you will be at the forefront of developing and implementing advanced AI solutions, with a focus on Agentic AI systems and Generative AI applications. You will work alongside a team of talented engineers and researchers, contributing to the design, development, and deployment of AI-powered products that will shape the future of Unisys and its clients. ### Role Overview As a Senior AI/ML Engineer, you will be responsible for: * **Rapid Prototyping:** Converting innovative ideas and business challenges into working demonstrations and Proofs of Concept (PoCs). * **Agentic AI Systems:** Designing, building, and orchestrating Agentic AI systems, including autonomous and semi-autonomous agents capable of reasoning, planning, tool usage, and goal execution. * **Generative AI Applications:** Leading the design and development of Generative AI applications leveraging Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), and multi-agent frameworks. * **Agile Development:** Working with Scrum/Agile teams to develop rapid prototypes and work toward scalable enterprise solutions. * **Technology Evaluation:** Evaluating, selecting, and integrating AI frameworks, agent orchestration tools, and model providers relevant to agentic and generative AI development. * **Continuous Learning:** Staying current on the latest advancements in LLMs, agent architectures, reasoning, memory, and AI best practices. * **Emerging Technologies:** Learning, evaluating, and leveraging emerging AI tooling ecosystems, including copilots, agent builders, orchestration platforms, and observability tools. * **Independent and Collaborative Work:** Functioning as a self-starter, working independently as well as collaboratively to deliver high-impact outcomes. * **Technical Leadership:** Providing technical leadership, guidance, and mentorship to junior AI engineers, fostering a culture of continuous learning and innovation. * **Quality and Security:** Demonstrating strong ownership of quality, reliability, security, and productivity, using efficient development practices, reusable components, and enterprise standards. ### A Day in the Life of a Senior AI/ML Engineer Your day-to-day activities might include: * Participating in daily stand-up meetings with your Scrum team to discuss progress, roadblocks, and upcoming tasks. * Brainstorming new AI solutions with product managers and business stakeholders. * Developing and testing new AI models using Python and relevant AI frameworks. * Integrating AI models into existing systems and applications. * Debugging and troubleshooting AI-related issues. * Conducting code reviews and providing feedback to other engineers. * Researching and evaluating new AI technologies and tools. * Writing technical documentation and presentations. * Mentoring junior AI engineers. * Attending industry conferences and workshops to stay up-to-date on the latest trends. ### Why Bangalore, Karnataka? Bangalore, often referred to as the "Silicon Valley of India," is a thriving hub for technology and innovation. The city boasts a vibrant ecosystem of startups, established tech companies, and world-class universities, making it an ideal location for AI/ML professionals. Here are a few reasons why Bangalore is a great place to live and work: * **Career Opportunities:** Bangalore offers a wide range of career opportunities in the AI/ML field, with numerous companies actively seeking talented engineers. * **Networking:** The city is home to a large and active community of AI/ML professionals, providing ample opportunities for networking and collaboration. * **Education:** Bangalore has several top-tier universities and research institutions offering advanced degrees and training programs in AI/ML. * **Culture:** Bangalore is a cosmopolitan city with a rich cultural heritage, offering a diverse range of experiences for residents. * **Climate:** The city enjoys a pleasant climate throughout the year, making it a comfortable place to live. ### Career Path This Senior AI/ML Engineer role provides a strong foundation for career growth within Unisys. Depending on your interests and skills, you can pursue various career paths, such as: * **Principal AI/ML Engineer:** Lead the development of complex AI systems and mentor other engineers. * **AI/ML Architect:** Design and implement the overall AI strategy for Unisys. * **AI/ML Research Scientist:** Conduct cutting-edge research in AI/ML and publish your findings in top conferences and journals. * **Engineering Manager:** Lead and manage a team of AI/ML engineers. * **Product Manager:** Define and manage the roadmap for AI-powered products. ### Salary and Benefits The salary for this Senior AI/ML Engineer role is competitive and commensurate with experience. While the exact salary will be determined based on your qualifications and interview performance, you can expect a range between $150,000 to $250,000 USD annually. Unisys also offers a comprehensive benefits package, including: * Comprehensive health insurance (medical, dental, vision) * Paid time off (vacation, sick leave, holidays) * Retirement savings plan (401k or equivalent) with company match * Life insurance and disability coverage * Employee assistance program (EAP) * Flexible spending accounts (FSA) or health savings accounts (HSA) * Professional development opportunities (training, conferences) * Tuition reimbursement program * Employee stock purchase plan (ESPP) * Performance-based bonuses ### Unisys Culture Unisys is a global technology solutions company that helps clients solve their most pressing business challenges. We are committed to innovation, collaboration, and customer success. Our culture is built on the following values: * **Integrity:** We act with honesty and integrity in all our interactions. * **Respect:** We treat each other with respect and value diversity. * **Innovation:** We embrace innovation and continuously seek new ways to improve our products and services. * **Collaboration:** We work together as a team to achieve common goals. * **Customer Focus:** We are dedicated to providing exceptional service to our clients. ### How to Apply If you are a qualified and passionate AI/ML engineer, we encourage you to apply for this exciting opportunity. To apply, please submit your resume and cover letter through the Unisys careers website. ### Frequently Asked Questions (FAQ) 1. **What are the key skills required for this role?** The key skills include strong hands-on experience with Large Language Models (LLMs), a solid understanding of Agentic AI concepts, proficiency with Azure AI Services, strong programming skills in Python, and experience with cloud-native development. 2. **What is the work environment like at Unisys?** Unisys fosters a collaborative and inclusive work environment where employees are encouraged to innovate and contribute to challenging projects. 3. **What opportunities are there for professional development?** Unisys offers various professional development opportunities, including training programs, conferences, and tuition reimbursement. 4. **What is the company's policy on work-life balance?** Unisys offers flexible work arrangements and promotes a healthy work-life balance. 5. **What is the interview process like?** The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager. 6. **What are the growth opportunities within the company?** Unisys offers various career paths and opportunities for advancement based on performance and interests. 7. **Does Unisys offer relocation assistance?** Relocation assistance may be available for qualified candidates. 8. **What is the company's commitment to diversity and inclusion?** Unisys is an equal opportunity employer committed to creating a diverse and inclusive workplace. 9. **What kind of projects will I be working on?** You will be working on cutting-edge AI projects that have a significant impact on Unisys and its clients. 10. **How does Unisys support employee well-being?** Unisys offers a comprehensive benefits package that includes wellness programs and resources to support employee well-being. Join Unisys and be a part of a team that is shaping the future of technology!

Locations

  • Bangalore, Karnataka, India

Salary

Estimated Salary Rangemedium confidence

165,000 - 275,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Models (LLMs)intermediate
  • Agentic AIintermediate
  • Agent Orchestration Frameworksintermediate
  • Azure AI Servicesintermediate
  • Azure OpenAI GPT modelsintermediate
  • Pythonintermediate
  • Back-end Development (Python, Golang)intermediate
  • PostgreSQLintermediate
  • Vector Databasesintermediate
  • Reactintermediate
  • Angularintermediate
  • Cloud-Native Developmentintermediate
  • Containersintermediate
  • Microservicesintermediate
  • Kubernetesintermediate
  • Dockerintermediate
  • Helmintermediate
  • Rancherintermediate
  • UI/UX Tooling (Figma)intermediate
  • API Integrationintermediate
  • Data Pipelinesintermediate
  • Prompt Engineeringintermediate
  • Function Callingintermediate
  • Tool Useintermediate
  • Agile Developmentintermediate
  • Scrumintermediate
  • Continuous Learningintermediate
  • Technical Leadershipintermediate
  • Mentorshipintermediate
  • Problem-solvingintermediate
  • Reasoningintermediate
  • Planningintermediate
  • Goal Executionintermediate
  • AI Frameworks Integrationintermediate
  • Model Evaluationintermediate
  • AI Best Practicesintermediate

Required Qualifications

  • BS/BE Degree (experience)
  • 5-8 years relevant experience (experience)
  • Hands-on experience with Large Language Models (LLMs) (experience)
  • Understanding of Agentic AI concepts (experience)
  • Experience with agent orchestration frameworks (experience)
  • Proficiency with Azure AI Services (experience)
  • Strong understanding of Azure OpenAI GPT models (experience)
  • Strong programming skills in Python (experience)
  • Proficiency in back-end development using Python and/or Golang (experience)
  • Experience with PostgreSQL and vector databases (experience)
  • Working knowledge of front-end frameworks (React or Angular) (experience)
  • Hands-on experience with cloud-native development, containers, and microservices (experience)
  • Experience with Kubernetes, Docker, Helm, and platforms like Rancher (experience)
  • Familiarity with UI/UX tooling such as Figma (experience)
  • Cloud certifications (Azure Developer, Azure AI Engineer) - added advantage (experience)

Responsibilities

  • Rapidly converting ideas, business problems, and hypotheses into working demonstrations & PoCs
  • Designing, building, and orchestrating Agentic AI systems
  • Leading the design and development of Generative AI applications leveraging LLMs, embeddings, vector databases, RAG, and multi-agent frameworks
  • Working with Scrum/Agile teams to develop rapid prototypes and work toward scalable enterprise solutions
  • Evaluating, selecting, and integrating AI frameworks, agent orchestration tools, and model providers
  • Staying current on LLMs, agent architectures, reasoning, memory, and AI best practices
  • Learning, evaluating, and leveraging emerging AI tooling ecosystems
  • Working independently and collaboratively to deliver high-impact outcomes
  • Providing technical leadership, guidance, and mentorship to junior AI engineers
  • Fostering a culture of continuous learning and innovation
  • Demonstrating strong ownership of quality, reliability, security, and productivity
  • Using efficient development practices, reusable components, and enterprise standards
  • Designing, implementing, and maintaining scalable and robust AI infrastructure
  • Troubleshooting and resolving issues related to AI models and systems in production
  • Collaborating with cross-functional teams to define and implement AI-driven solutions
  • Contributing to the development of AI strategy and roadmap
  • Participating in code reviews and knowledge sharing sessions
  • Documenting AI models, algorithms, and systems for reproducibility and maintainability
  • Ensuring compliance with data privacy and security regulations
  • Monitoring and evaluating the performance of AI models and systems
  • Contributing to the development of intellectual property
  • Presenting AI solutions and findings to technical and non-technical audiences

Benefits

  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Paid time off (vacation, sick leave, holidays)
  • general: Retirement savings plan (401k or equivalent) with company match
  • general: Life insurance and disability coverage
  • general: Employee assistance program (EAP)
  • general: Flexible spending accounts (FSA) or health savings accounts (HSA)
  • general: Professional development opportunities (training, conferences)
  • general: Tuition reimbursement program
  • general: Employee stock purchase plan (ESPP)
  • general: Performance-based bonuses
  • general: Relocation assistance (if applicable)
  • general: Employee referral program
  • general: Wellness programs (gym memberships, health screenings)
  • general: Commuting benefits (public transportation subsidies, parking assistance)
  • general: Employee discount programs
  • general: Paid parental leave
  • general: Adoption assistance
  • general: Flexible work arrangements (remote work options, flextime)
  • general: Opportunities for advancement and career growth
  • general: Mentorship programs
  • general: Employee recognition programs
  • general: Team-building activities and social events
  • general: Access to cutting-edge technology and tools
  • general: A collaborative and inclusive work environment
  • general: Opportunity to work on challenging and impactful projects
  • general: Global career opportunities
  • general: Support for community involvement and volunteer activities
  • general: Company-sponsored events and activities
  • general: Employee resource groups (ERGs)
  • general: Generous benefits package

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AIMLLLMAzurePythonCloudEngineerBangaloreIndiaUnisysSeniorAgentic AIGenerative AISenior AI/ML EngineerArtificial IntelligenceMachine LearningLarge Language ModelsAzure AI ServicesPython ProgrammingCloud-Native DevelopmentBangalore JobsKarnataka CareersUnisys CareersAI Engineer JobsML Engineer JobsAI/ML DeveloperAI/ML ArchitectDeep LearningNeural NetworksData ScienceRAGVector DatabasesKubernetesDockerCloud ComputingAI/ML InnovationIT ServicesCloud ComputingCybersecurityConsulting

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Unisys logo

High-CTR: Senior AI/ML Engineer Careers at Unisys - Bangalore, Karnataka | Apply Now!

Unisys

High-CTR: Senior AI/ML Engineer Careers at Unisys - Bangalore, Karnataka | Apply Now!

full-timePosted: Feb 17, 2026

Job Description

## Senior AI/ML Engineer at Unisys: Transforming the Future of Technology Are you a passionate and experienced AI/ML engineer eager to make a significant impact on the world through innovative technology? Do you thrive in a fast-paced, collaborative environment where you can leverage your expertise to solve complex problems and build cutting-edge solutions? If so, Unisys is looking for a talented Senior AI/ML Engineer to join our dynamic team in Bangalore, Karnataka, India. In this role, you will be at the forefront of developing and implementing advanced AI solutions, with a focus on Agentic AI systems and Generative AI applications. You will work alongside a team of talented engineers and researchers, contributing to the design, development, and deployment of AI-powered products that will shape the future of Unisys and its clients. ### Role Overview As a Senior AI/ML Engineer, you will be responsible for: * **Rapid Prototyping:** Converting innovative ideas and business challenges into working demonstrations and Proofs of Concept (PoCs). * **Agentic AI Systems:** Designing, building, and orchestrating Agentic AI systems, including autonomous and semi-autonomous agents capable of reasoning, planning, tool usage, and goal execution. * **Generative AI Applications:** Leading the design and development of Generative AI applications leveraging Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), and multi-agent frameworks. * **Agile Development:** Working with Scrum/Agile teams to develop rapid prototypes and work toward scalable enterprise solutions. * **Technology Evaluation:** Evaluating, selecting, and integrating AI frameworks, agent orchestration tools, and model providers relevant to agentic and generative AI development. * **Continuous Learning:** Staying current on the latest advancements in LLMs, agent architectures, reasoning, memory, and AI best practices. * **Emerging Technologies:** Learning, evaluating, and leveraging emerging AI tooling ecosystems, including copilots, agent builders, orchestration platforms, and observability tools. * **Independent and Collaborative Work:** Functioning as a self-starter, working independently as well as collaboratively to deliver high-impact outcomes. * **Technical Leadership:** Providing technical leadership, guidance, and mentorship to junior AI engineers, fostering a culture of continuous learning and innovation. * **Quality and Security:** Demonstrating strong ownership of quality, reliability, security, and productivity, using efficient development practices, reusable components, and enterprise standards. ### A Day in the Life of a Senior AI/ML Engineer Your day-to-day activities might include: * Participating in daily stand-up meetings with your Scrum team to discuss progress, roadblocks, and upcoming tasks. * Brainstorming new AI solutions with product managers and business stakeholders. * Developing and testing new AI models using Python and relevant AI frameworks. * Integrating AI models into existing systems and applications. * Debugging and troubleshooting AI-related issues. * Conducting code reviews and providing feedback to other engineers. * Researching and evaluating new AI technologies and tools. * Writing technical documentation and presentations. * Mentoring junior AI engineers. * Attending industry conferences and workshops to stay up-to-date on the latest trends. ### Why Bangalore, Karnataka? Bangalore, often referred to as the "Silicon Valley of India," is a thriving hub for technology and innovation. The city boasts a vibrant ecosystem of startups, established tech companies, and world-class universities, making it an ideal location for AI/ML professionals. Here are a few reasons why Bangalore is a great place to live and work: * **Career Opportunities:** Bangalore offers a wide range of career opportunities in the AI/ML field, with numerous companies actively seeking talented engineers. * **Networking:** The city is home to a large and active community of AI/ML professionals, providing ample opportunities for networking and collaboration. * **Education:** Bangalore has several top-tier universities and research institutions offering advanced degrees and training programs in AI/ML. * **Culture:** Bangalore is a cosmopolitan city with a rich cultural heritage, offering a diverse range of experiences for residents. * **Climate:** The city enjoys a pleasant climate throughout the year, making it a comfortable place to live. ### Career Path This Senior AI/ML Engineer role provides a strong foundation for career growth within Unisys. Depending on your interests and skills, you can pursue various career paths, such as: * **Principal AI/ML Engineer:** Lead the development of complex AI systems and mentor other engineers. * **AI/ML Architect:** Design and implement the overall AI strategy for Unisys. * **AI/ML Research Scientist:** Conduct cutting-edge research in AI/ML and publish your findings in top conferences and journals. * **Engineering Manager:** Lead and manage a team of AI/ML engineers. * **Product Manager:** Define and manage the roadmap for AI-powered products. ### Salary and Benefits The salary for this Senior AI/ML Engineer role is competitive and commensurate with experience. While the exact salary will be determined based on your qualifications and interview performance, you can expect a range between $150,000 to $250,000 USD annually. Unisys also offers a comprehensive benefits package, including: * Comprehensive health insurance (medical, dental, vision) * Paid time off (vacation, sick leave, holidays) * Retirement savings plan (401k or equivalent) with company match * Life insurance and disability coverage * Employee assistance program (EAP) * Flexible spending accounts (FSA) or health savings accounts (HSA) * Professional development opportunities (training, conferences) * Tuition reimbursement program * Employee stock purchase plan (ESPP) * Performance-based bonuses ### Unisys Culture Unisys is a global technology solutions company that helps clients solve their most pressing business challenges. We are committed to innovation, collaboration, and customer success. Our culture is built on the following values: * **Integrity:** We act with honesty and integrity in all our interactions. * **Respect:** We treat each other with respect and value diversity. * **Innovation:** We embrace innovation and continuously seek new ways to improve our products and services. * **Collaboration:** We work together as a team to achieve common goals. * **Customer Focus:** We are dedicated to providing exceptional service to our clients. ### How to Apply If you are a qualified and passionate AI/ML engineer, we encourage you to apply for this exciting opportunity. To apply, please submit your resume and cover letter through the Unisys careers website. ### Frequently Asked Questions (FAQ) 1. **What are the key skills required for this role?** The key skills include strong hands-on experience with Large Language Models (LLMs), a solid understanding of Agentic AI concepts, proficiency with Azure AI Services, strong programming skills in Python, and experience with cloud-native development. 2. **What is the work environment like at Unisys?** Unisys fosters a collaborative and inclusive work environment where employees are encouraged to innovate and contribute to challenging projects. 3. **What opportunities are there for professional development?** Unisys offers various professional development opportunities, including training programs, conferences, and tuition reimbursement. 4. **What is the company's policy on work-life balance?** Unisys offers flexible work arrangements and promotes a healthy work-life balance. 5. **What is the interview process like?** The interview process typically involves a phone screening, a technical interview, and an interview with the hiring manager. 6. **What are the growth opportunities within the company?** Unisys offers various career paths and opportunities for advancement based on performance and interests. 7. **Does Unisys offer relocation assistance?** Relocation assistance may be available for qualified candidates. 8. **What is the company's commitment to diversity and inclusion?** Unisys is an equal opportunity employer committed to creating a diverse and inclusive workplace. 9. **What kind of projects will I be working on?** You will be working on cutting-edge AI projects that have a significant impact on Unisys and its clients. 10. **How does Unisys support employee well-being?** Unisys offers a comprehensive benefits package that includes wellness programs and resources to support employee well-being. Join Unisys and be a part of a team that is shaping the future of technology!

Locations

  • Bangalore, Karnataka, India

Salary

Estimated Salary Rangemedium confidence

165,000 - 275,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Large Language Models (LLMs)intermediate
  • Agentic AIintermediate
  • Agent Orchestration Frameworksintermediate
  • Azure AI Servicesintermediate
  • Azure OpenAI GPT modelsintermediate
  • Pythonintermediate
  • Back-end Development (Python, Golang)intermediate
  • PostgreSQLintermediate
  • Vector Databasesintermediate
  • Reactintermediate
  • Angularintermediate
  • Cloud-Native Developmentintermediate
  • Containersintermediate
  • Microservicesintermediate
  • Kubernetesintermediate
  • Dockerintermediate
  • Helmintermediate
  • Rancherintermediate
  • UI/UX Tooling (Figma)intermediate
  • API Integrationintermediate
  • Data Pipelinesintermediate
  • Prompt Engineeringintermediate
  • Function Callingintermediate
  • Tool Useintermediate
  • Agile Developmentintermediate
  • Scrumintermediate
  • Continuous Learningintermediate
  • Technical Leadershipintermediate
  • Mentorshipintermediate
  • Problem-solvingintermediate
  • Reasoningintermediate
  • Planningintermediate
  • Goal Executionintermediate
  • AI Frameworks Integrationintermediate
  • Model Evaluationintermediate
  • AI Best Practicesintermediate

Required Qualifications

  • BS/BE Degree (experience)
  • 5-8 years relevant experience (experience)
  • Hands-on experience with Large Language Models (LLMs) (experience)
  • Understanding of Agentic AI concepts (experience)
  • Experience with agent orchestration frameworks (experience)
  • Proficiency with Azure AI Services (experience)
  • Strong understanding of Azure OpenAI GPT models (experience)
  • Strong programming skills in Python (experience)
  • Proficiency in back-end development using Python and/or Golang (experience)
  • Experience with PostgreSQL and vector databases (experience)
  • Working knowledge of front-end frameworks (React or Angular) (experience)
  • Hands-on experience with cloud-native development, containers, and microservices (experience)
  • Experience with Kubernetes, Docker, Helm, and platforms like Rancher (experience)
  • Familiarity with UI/UX tooling such as Figma (experience)
  • Cloud certifications (Azure Developer, Azure AI Engineer) - added advantage (experience)

Responsibilities

  • Rapidly converting ideas, business problems, and hypotheses into working demonstrations & PoCs
  • Designing, building, and orchestrating Agentic AI systems
  • Leading the design and development of Generative AI applications leveraging LLMs, embeddings, vector databases, RAG, and multi-agent frameworks
  • Working with Scrum/Agile teams to develop rapid prototypes and work toward scalable enterprise solutions
  • Evaluating, selecting, and integrating AI frameworks, agent orchestration tools, and model providers
  • Staying current on LLMs, agent architectures, reasoning, memory, and AI best practices
  • Learning, evaluating, and leveraging emerging AI tooling ecosystems
  • Working independently and collaboratively to deliver high-impact outcomes
  • Providing technical leadership, guidance, and mentorship to junior AI engineers
  • Fostering a culture of continuous learning and innovation
  • Demonstrating strong ownership of quality, reliability, security, and productivity
  • Using efficient development practices, reusable components, and enterprise standards
  • Designing, implementing, and maintaining scalable and robust AI infrastructure
  • Troubleshooting and resolving issues related to AI models and systems in production
  • Collaborating with cross-functional teams to define and implement AI-driven solutions
  • Contributing to the development of AI strategy and roadmap
  • Participating in code reviews and knowledge sharing sessions
  • Documenting AI models, algorithms, and systems for reproducibility and maintainability
  • Ensuring compliance with data privacy and security regulations
  • Monitoring and evaluating the performance of AI models and systems
  • Contributing to the development of intellectual property
  • Presenting AI solutions and findings to technical and non-technical audiences

Benefits

  • general: Comprehensive health insurance (medical, dental, vision)
  • general: Paid time off (vacation, sick leave, holidays)
  • general: Retirement savings plan (401k or equivalent) with company match
  • general: Life insurance and disability coverage
  • general: Employee assistance program (EAP)
  • general: Flexible spending accounts (FSA) or health savings accounts (HSA)
  • general: Professional development opportunities (training, conferences)
  • general: Tuition reimbursement program
  • general: Employee stock purchase plan (ESPP)
  • general: Performance-based bonuses
  • general: Relocation assistance (if applicable)
  • general: Employee referral program
  • general: Wellness programs (gym memberships, health screenings)
  • general: Commuting benefits (public transportation subsidies, parking assistance)
  • general: Employee discount programs
  • general: Paid parental leave
  • general: Adoption assistance
  • general: Flexible work arrangements (remote work options, flextime)
  • general: Opportunities for advancement and career growth
  • general: Mentorship programs
  • general: Employee recognition programs
  • general: Team-building activities and social events
  • general: Access to cutting-edge technology and tools
  • general: A collaborative and inclusive work environment
  • general: Opportunity to work on challenging and impactful projects
  • general: Global career opportunities
  • general: Support for community involvement and volunteer activities
  • general: Company-sponsored events and activities
  • general: Employee resource groups (ERGs)
  • general: Generous benefits package

Target Your Resume for "High-CTR: Senior AI/ML Engineer Careers at Unisys - Bangalore, Karnataka | Apply Now!" , Unisys

Get personalized recommendations to optimize your resume specifically for High-CTR: Senior AI/ML Engineer Careers at Unisys - Bangalore, Karnataka | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "High-CTR: Senior AI/ML Engineer Careers at Unisys - Bangalore, Karnataka | Apply Now!" , Unisys

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AIMLLLMAzurePythonCloudEngineerBangaloreIndiaUnisysSeniorAgentic AIGenerative AISenior AI/ML EngineerArtificial IntelligenceMachine LearningLarge Language ModelsAzure AI ServicesPython ProgrammingCloud-Native DevelopmentBangalore JobsKarnataka CareersUnisys CareersAI Engineer JobsML Engineer JobsAI/ML DeveloperAI/ML ArchitectDeep LearningNeural NetworksData ScienceRAGVector DatabasesKubernetesDockerCloud ComputingAI/ML InnovationIT ServicesCloud ComputingCybersecurityConsulting

Answer 10 quick questions to check your fit for High-CTR: Senior AI/ML Engineer Careers at Unisys - Bangalore, Karnataka | Apply Now! @ Unisys.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.