Engineer - Applied Machine Learning Careers at Unisys - Bangalore, India | Apply Now!
Unisys
Engineer - Applied Machine Learning Careers at Unisys - Bangalore, India | Apply Now!
Job Description
Engineer - Applied Machine Learning at Unisys: Bangalore, India
Role Overview
Are you a passionate and experienced Software Engineer with a focus on Applied Machine Learning? Unisys is seeking a proactive and hands-on individual to join our team in Bangalore, India. In this role, you will be a key player in shaping the technological vision and driving the development of our AI Knowledge Curation platform. This platform analyzes millions of customer support tickets from Fortune 500 enterprises to identify opportunities for knowledge base improvement.
A Day in the Life
As an Engineer - Applied Machine Learning, your day will involve a mix of strategic planning, hands-on development, and collaboration. You'll contribute to the technological roadmap, ensuring our solutions align with company objectives and maintain our leadership position. You'll be involved in the design, implementation, and optimization of ML pipelines for processing high-volume customer support data. A significant part of your day will also be dedicated to research and experimentation, exploring cutting-edge techniques in text analytics and LLM prompting strategies. You will work closely with product managers, data engineers and customer success teams. Your mentorship skills will come into play as you guide other engineers, promoting a culture of continuous learning.
Why Bangalore?
Bangalore, often referred to as the "Silicon Valley of India," is a hub for technological innovation and a vibrant center for the IT industry. The city offers a diverse and dynamic environment, attracting top talent from across the country and around the world. Working in Bangalore provides access to a thriving tech community, numerous networking opportunities, and a high quality of life with a relatively low cost of living compared to other major tech hubs. Unisys's presence in Bangalore provides a strategic advantage, allowing us to tap into this rich talent pool and foster innovation within our organization.
Career Path
At Unisys, we believe in investing in our employees' growth and development. This role offers a clear career path with opportunities to advance into senior engineering positions, technical leadership roles, or even management positions. You'll have access to ongoing training and development programs, including our Unisys University and MBA sponsorship program, to help you expand your skills and knowledge. We are committed to helping you realize your full potential and achieve your career goals.
Salary and Benefits
Unisys offers a competitive salary and benefits package that is designed to attract and retain top talent. The salary for this role will be commensurate with experience and qualifications. In addition to a competitive salary, we offer a range of benefits, including:
- Attractive pension scheme
- Various allowances
- Bonus/referral/incentive/recognition programs
- Comprehensive health insurance
- Paid time off
- Employee assistance program
- Professional development opportunities
Unisys Culture
At Unisys, we foster a "Winning Culture" where employees are empowered to innovate, collaborate, and succeed. We are committed to Corporate Social Responsibility and inclusion, and we strive to create a workplace where everyone feels valued and respected. Our values include integrity, innovation, and client-centricity. We believe in investing in our employees' well-being and providing a supportive and inclusive work environment.
How to Apply
If you are a highly motivated and experienced Software Engineer with a passion for Applied Machine Learning, we encourage you to apply for this exciting opportunity. To apply, please submit your resume and cover letter through our online application portal. We look forward to hearing from you!
Frequently Asked Questions (FAQ)
- What is the AI Knowledge Curation platform? The AI Knowledge Curation platform analyzes millions of customer support tickets to identify opportunities for knowledge base improvement.
- What skills are essential for this role? Essential skills include experience in software engineering, machine learning, Python, Spark, LLMs, text analytics, and communication.
- What kind of projects will I be working on? You will be working on projects related to designing and implementing ML pipelines, researching new techniques in text analytics, and evaluating the performance of knowledge recommendations.
- Is there room for growth in this role? Yes, there are opportunities to advance into senior engineering positions, technical leadership roles, or management positions.
- What benefits does Unisys offer? Unisys offers a comprehensive benefits package including health insurance, paid time off, retirement plans, and professional development opportunities.
- What is the work environment like at Unisys? Unisys fosters a collaborative and inclusive work environment where employees are empowered to innovate and succeed.
- What is the interview process like? The interview process typically involves a phone screening, a technical interview, and a final interview with the hiring manager.
- Does Unisys offer relocation assistance? Relocation assistance may be available for qualified candidates.
- What is the company's policy on work-life balance? Unisys is committed to supporting work-life balance and offers flexible work arrangements where possible.
- What opportunities for professional development are available? Unisys offers a range of professional development opportunities, including training programs, conferences, and mentorship opportunities.
Locations
- Bangalore, Karnataka, India
Salary
1,980,000 - 4,950,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Pythonintermediate
- Sparkintermediate
- LLM (Large Language Models)intermediate
- Text Analyticsintermediate
- Clusteringintermediate
- Topic Modelingintermediate
- Data Engineeringintermediate
- Customer Successintermediate
- Algorithmsintermediate
- Data Structuresintermediate
- Software Engineeringintermediate
- Mentoringintermediate
- Communication (written and verbal)intermediate
- Problem-solvingintermediate
Required Qualifications
- At least 5 years of experience in software engineering/machine learning projects (experience)
- 3+ years experience implementing LLM-based (or similar) solutions into production/deployment stage (experience)
- Experience working with Python and its machine learning libraries/ software development frameworks (experience)
- Experience working with Spark or other distributed computations framework (experience)
- Experience mentoring other Machine Learning team members desirable (experience)
- Algorithms and data structures knowledge is mandatory (experience)
- Ability to grasp new technologies very quickly is an absolute must (experience)
- Ability to work effectively and independently as well as part of a team (experience)
- Ability to communicate clearly and effectively, both in writing and verbally in English (experience)
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
Responsibilities
- Contribute to defining and communicating the technological roadmap for large-scale knowledge curation and analytics.
- Ensure alignment with company objectives and maintaining leadership position in the market.
- Lead and contribute hands-on to the design, implementation, and optimization of ML pipelines for ingesting, processing, and analyzing high-volume customer support data.
- Drive research initiatives exploring state-of-the-art techniques in large-scale text analytics, clustering, topic modeling, and advanced LLM prompting strategies.
- Integrate relevant findings into the product.
- Design and implement rigorous evaluation frameworks to measure the accuracy, impact, and business value of knowledge recommendations generated by the system.
- Partner closely with Product, Data Engineering, and Customer Success teams.
- Translate business requirements into ML solutions.
- Ensure the system delivers measurable value to enterprise customers.
- Provide technical leadership and mentorship to other engineers on the team.
- Promote a culture of high standards, experimentation, and continuous learning.
- Analyze customer support tickets to identify opportunities for knowledge base improvement.
Benefits
- general: Winning Culture
- general: Work on prestigious clients worldwide
- general: Corporate Social Responsibility and inclusion standards
- general: Unisys University access for individual needs
- general: MBA sponsorship program
- general: Wellbeing & Employee Assistance Program
- general: Confidential mental health support
- general: Solid qualification-, performance- & competence-based remuneration model
- general: Attractive pension scheme
- general: Various allowances
- general: Bonus/referral/incentive/recognition programs
- general: Professional development opportunities
- general: Employee resource groups
Tags & Categories
Answer 10 quick questions to check your fit for Engineer - Applied Machine Learning Careers at Unisys - Bangalore, India | Apply Now! @ Unisys.
Related Books and Jobs
Engineer - Applied Machine Learning Careers at Unisys - Bangalore, India | Apply Now!
Unisys
Engineer - Applied Machine Learning Careers at Unisys - Bangalore, India | Apply Now!
Job Description
Engineer - Applied Machine Learning at Unisys: Bangalore, India
Role Overview
Are you a passionate and experienced Software Engineer with a focus on Applied Machine Learning? Unisys is seeking a proactive and hands-on individual to join our team in Bangalore, India. In this role, you will be a key player in shaping the technological vision and driving the development of our AI Knowledge Curation platform. This platform analyzes millions of customer support tickets from Fortune 500 enterprises to identify opportunities for knowledge base improvement.
A Day in the Life
As an Engineer - Applied Machine Learning, your day will involve a mix of strategic planning, hands-on development, and collaboration. You'll contribute to the technological roadmap, ensuring our solutions align with company objectives and maintain our leadership position. You'll be involved in the design, implementation, and optimization of ML pipelines for processing high-volume customer support data. A significant part of your day will also be dedicated to research and experimentation, exploring cutting-edge techniques in text analytics and LLM prompting strategies. You will work closely with product managers, data engineers and customer success teams. Your mentorship skills will come into play as you guide other engineers, promoting a culture of continuous learning.
Why Bangalore?
Bangalore, often referred to as the "Silicon Valley of India," is a hub for technological innovation and a vibrant center for the IT industry. The city offers a diverse and dynamic environment, attracting top talent from across the country and around the world. Working in Bangalore provides access to a thriving tech community, numerous networking opportunities, and a high quality of life with a relatively low cost of living compared to other major tech hubs. Unisys's presence in Bangalore provides a strategic advantage, allowing us to tap into this rich talent pool and foster innovation within our organization.
Career Path
At Unisys, we believe in investing in our employees' growth and development. This role offers a clear career path with opportunities to advance into senior engineering positions, technical leadership roles, or even management positions. You'll have access to ongoing training and development programs, including our Unisys University and MBA sponsorship program, to help you expand your skills and knowledge. We are committed to helping you realize your full potential and achieve your career goals.
Salary and Benefits
Unisys offers a competitive salary and benefits package that is designed to attract and retain top talent. The salary for this role will be commensurate with experience and qualifications. In addition to a competitive salary, we offer a range of benefits, including:
- Attractive pension scheme
- Various allowances
- Bonus/referral/incentive/recognition programs
- Comprehensive health insurance
- Paid time off
- Employee assistance program
- Professional development opportunities
Unisys Culture
At Unisys, we foster a "Winning Culture" where employees are empowered to innovate, collaborate, and succeed. We are committed to Corporate Social Responsibility and inclusion, and we strive to create a workplace where everyone feels valued and respected. Our values include integrity, innovation, and client-centricity. We believe in investing in our employees' well-being and providing a supportive and inclusive work environment.
How to Apply
If you are a highly motivated and experienced Software Engineer with a passion for Applied Machine Learning, we encourage you to apply for this exciting opportunity. To apply, please submit your resume and cover letter through our online application portal. We look forward to hearing from you!
Frequently Asked Questions (FAQ)
- What is the AI Knowledge Curation platform? The AI Knowledge Curation platform analyzes millions of customer support tickets to identify opportunities for knowledge base improvement.
- What skills are essential for this role? Essential skills include experience in software engineering, machine learning, Python, Spark, LLMs, text analytics, and communication.
- What kind of projects will I be working on? You will be working on projects related to designing and implementing ML pipelines, researching new techniques in text analytics, and evaluating the performance of knowledge recommendations.
- Is there room for growth in this role? Yes, there are opportunities to advance into senior engineering positions, technical leadership roles, or management positions.
- What benefits does Unisys offer? Unisys offers a comprehensive benefits package including health insurance, paid time off, retirement plans, and professional development opportunities.
- What is the work environment like at Unisys? Unisys fosters a collaborative and inclusive work environment where employees are empowered to innovate and succeed.
- What is the interview process like? The interview process typically involves a phone screening, a technical interview, and a final interview with the hiring manager.
- Does Unisys offer relocation assistance? Relocation assistance may be available for qualified candidates.
- What is the company's policy on work-life balance? Unisys is committed to supporting work-life balance and offers flexible work arrangements where possible.
- What opportunities for professional development are available? Unisys offers a range of professional development opportunities, including training programs, conferences, and mentorship opportunities.
Locations
- Bangalore, Karnataka, India
Salary
1,980,000 - 4,950,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- Pythonintermediate
- Sparkintermediate
- LLM (Large Language Models)intermediate
- Text Analyticsintermediate
- Clusteringintermediate
- Topic Modelingintermediate
- Data Engineeringintermediate
- Customer Successintermediate
- Algorithmsintermediate
- Data Structuresintermediate
- Software Engineeringintermediate
- Mentoringintermediate
- Communication (written and verbal)intermediate
- Problem-solvingintermediate
Required Qualifications
- At least 5 years of experience in software engineering/machine learning projects (experience)
- 3+ years experience implementing LLM-based (or similar) solutions into production/deployment stage (experience)
- Experience working with Python and its machine learning libraries/ software development frameworks (experience)
- Experience working with Spark or other distributed computations framework (experience)
- Experience mentoring other Machine Learning team members desirable (experience)
- Algorithms and data structures knowledge is mandatory (experience)
- Ability to grasp new technologies very quickly is an absolute must (experience)
- Ability to work effectively and independently as well as part of a team (experience)
- Ability to communicate clearly and effectively, both in writing and verbally in English (experience)
- Bachelor's degree in Computer Science, Engineering, or related field (experience)
Responsibilities
- Contribute to defining and communicating the technological roadmap for large-scale knowledge curation and analytics.
- Ensure alignment with company objectives and maintaining leadership position in the market.
- Lead and contribute hands-on to the design, implementation, and optimization of ML pipelines for ingesting, processing, and analyzing high-volume customer support data.
- Drive research initiatives exploring state-of-the-art techniques in large-scale text analytics, clustering, topic modeling, and advanced LLM prompting strategies.
- Integrate relevant findings into the product.
- Design and implement rigorous evaluation frameworks to measure the accuracy, impact, and business value of knowledge recommendations generated by the system.
- Partner closely with Product, Data Engineering, and Customer Success teams.
- Translate business requirements into ML solutions.
- Ensure the system delivers measurable value to enterprise customers.
- Provide technical leadership and mentorship to other engineers on the team.
- Promote a culture of high standards, experimentation, and continuous learning.
- Analyze customer support tickets to identify opportunities for knowledge base improvement.
Benefits
- general: Winning Culture
- general: Work on prestigious clients worldwide
- general: Corporate Social Responsibility and inclusion standards
- general: Unisys University access for individual needs
- general: MBA sponsorship program
- general: Wellbeing & Employee Assistance Program
- general: Confidential mental health support
- general: Solid qualification-, performance- & competence-based remuneration model
- general: Attractive pension scheme
- general: Various allowances
- general: Bonus/referral/incentive/recognition programs
- general: Professional development opportunities
- general: Employee resource groups
Tags & Categories
Answer 10 quick questions to check your fit for Engineer - Applied Machine Learning Careers at Unisys - Bangalore, India | Apply Now! @ Unisys.
Related Books and Jobs