Position:
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Machine Learning Engineer
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Entry level role suitable for freshers and early career professionals
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Core engineering position focused on applied machine learning
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Part of a product driven engineering organization
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Role aligned with enterprise automation and AI powered platforms
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Opportunity to work on real world customer facing AI systems
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Focus on building production ready machine learning solutions
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Strong exposure to end to end ML lifecycle
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Role involves both research oriented and engineering oriented work
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Designed for individuals eager to grow in AI and ML domains
Company:
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UiPath
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Global enterprise software company
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Known for leadership in automation and AI driven platforms
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Strong focus on intelligent automation for enterprises
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Organization driven by innovation and product excellence
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Culture centered on curiosity, ownership, and collaboration
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Workforce includes engineers, data scientists, and product experts
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Emphasis on ethical technology and responsible AI
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Commitment to diversity, inclusion, and equal opportunity
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Strong global presence with engineering teams across regions
Location:
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Jaipur
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India
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Office based role
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Work from office setup
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Collaboration focused environment
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Engineering hub location
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Access to local leadership and cross functional teams
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Structured office infrastructure for product teams
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Suitable for candidates based in or willing to relocate to Jaipur
Job type:
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Full time
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Permanent employment
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Long term role
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Direct payroll position
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Benefits as per company policy
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Structured career growth path
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Stable role within engineering department
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Performance based growth opportunities
Job mode:
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Onsite
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Office based collaboration
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Daily interaction with engineering teams
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Hands on participation in product development
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Suitable for candidates preferring in person teamwork
Job requisition id:
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Not explicitly mentioned by the company
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Hiring managed through internal requisition process
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Applications reviewed on rolling basis
Years of experience:
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Fresher friendly role
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Entry level opportunity
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Suitable for candidates with zero to three years of experience
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Open to recent graduates and early career professionals
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Emphasis on skills, learning mindset, and problem solving ability
Company description
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UiPath is an enterprise focused technology company dedicated to transforming how businesses operate through automation
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The organization builds intelligent automation platforms that enable companies to streamline processes and improve efficiency
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UiPath focuses on combining automation, AI, and analytics to help enterprises reduce manual effort and increase productivity
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The company believes that automation can unlock human potential by removing repetitive work
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UiPath products are used across industries such as finance, healthcare, retail, manufacturing, and technology
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The company operates with a strong product mindset, prioritizing reliability, scalability, and customer impact
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Employees at UiPath are encouraged to think creatively and take ownership of their work
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Collaboration across engineering, product, and business teams is a key part of the culture
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UiPath promotes continuous learning and supports employees in expanding technical and professional skills
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The organization values integrity, transparency, and respect in all interactions
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Diversity and inclusion are treated as strengths that drive better ideas and outcomes
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UiPath aims to create technology that is trusted, secure, and accessible
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The company invests in research and development to stay ahead in AI driven automation
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Employees are empowered to experiment, iterate, and improve solutions
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UiPath supports flexible work practices where possible while balancing business needs
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The company provides equal opportunity to all applicants and employees
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Ethical use of data and AI is an important consideration in product development
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UiPath strives to build long term relationships with customers and partners
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The work environment encourages curiosity and continuous improvement
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Overall, UiPath positions itself as a mission driven organization focused on meaningful technological impact
Profile overview:
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The Machine Learning Engineer role focuses on building intelligent systems that power enterprise automation solutions
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This position involves working closely with other engineers to design and implement AI driven features
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The role supports the development of applications that solve complex customer problems using machine learning
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Engineers in this role contribute directly to production systems used by real customers
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The position offers exposure to applied machine learning in a commercial environment
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The engineer will participate in the full lifecycle of ML solutions from concept to deployment
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Collaboration with product managers and stakeholders is an integral part of the role
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The role requires balancing technical depth with practical product requirements
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Engineers are expected to contribute ideas that shape platform direction
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There is an opportunity to influence how AI capabilities evolve over time
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The role encourages exploration of different ML techniques and approaches
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Engineers will work on scalable and maintainable ML pipelines
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Emphasis is placed on writing clean, testable, and modular code
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The role supports learning through hands on implementation and feedback
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Engineers are encouraged to develop strong software engineering fundamentals
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Exposure to customer interactions during implementation phases is possible
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The position supports growth across ML, software engineering, and product understanding
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Engineers may specialize in domains such as inventory optimization or pricing intelligence
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The role values empathy toward end users and practical usability
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Overall, the position is ideal for candidates seeking a strong foundation in applied machine learning
Qualifications:
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Background or exposure to machine learning or artificial intelligence concepts
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Understanding of statistics, optimization, or related quantitative fields
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Familiarity with basic ML algorithms such as regression, classification, or clustering
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Interest in applied machine learning rather than purely theoretical work
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Experience using Python for data analysis or ML projects
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Basic understanding of software development principles
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Exposure to version control systems and collaborative development
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Awareness of testing practices such as unit or integration testing
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Familiarity with cloud platforms such as AWS, Azure, or GCP is beneficial
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Basic understanding of databases and data storage concepts
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Working knowledge of SQL for querying structured data
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Exposure to NoSQL or large scale data systems is an advantage
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Ability to work in a multidisciplinary team environment
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Strong problem solving and analytical thinking skills
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Willingness to learn new tools, frameworks, and methodologies
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Good communication skills for working with technical and non technical stakeholders
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Interest in building customer focused products
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Ability to manage tasks independently when required
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Curiosity and motivation to deepen ML and software skills
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Educational background in engineering, computer science, data science, or related fields is helpful
Additional info:
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The role allows flexibility depending on team and business needs
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Work arrangements may evolve over time based on organizational requirements
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Applications are reviewed continuously without a fixed closing date
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The hiring process may conclude early if a suitable candidate is selected
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Candidates who do not meet every requirement are still encouraged to apply
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The company values passion, learning ability, and mindset alongside skills
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UiPath promotes an inclusive and respectful workplace culture
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Equal opportunity is provided regardless of personal background
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Reasonable accommodations are available for candidates upon request
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Applicant privacy is respected throughout the hiring process
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The role offers long term growth potential within the organization
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Exposure to enterprise scale systems is a key benefit
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Employees receive mentorship and guidance from experienced professionals
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Learning opportunities include hands on projects and team collaboration
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The company emphasizes ethical and responsible AI practices
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Engineers are encouraged to share feedback and improve processes
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Career paths can evolve as the team and products grow
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Internal mobility and skill development are supported
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Performance and impact are recognized and rewarded
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Overall, the role provides a strong platform for early career ML engineers
Please click here to apply.

