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Eightfold.ai is hiring for an fresher entry level Machine Learning Engineer role in India




Position:

  • Machine Learning Engineer role on the AI Agents team

  • Early career level opportunity suitable for 2024 or 2025 graduates in AI, Computer Science or related areas

Company:

  • Eightfold .ai, a company focused on transforming employment dynamics through artificial intelligence

  • Industry leader delivering an AI‑powered talent intelligence platform that matches people to jobs based on potential rather than network

Location:

  • Noida, Uttar Pradesh, India; hybrid work setup with partial in‑office attendance

Job type:

  • Full time employment, part of engineering department

Job mode:

  • Hybrid work format mixing in‑office and remote work for employees

Job requisition id:

  • 68749941490

Years of experience:

  • Less than two years preferred, though potential and enthusiasm matter most. People from batch 2024/2025 are welcomed to apply!


Company description

Here is an overview of the company mission, background and vision in around two hundred words:

  • Eightfold .ai was created with a bold goal to reshape how people connect with career opportunities in society

  • The founders saw how networking has long influenced who gets access to roles rather than true talent or potential

  • Through artificial intelligence the company has built the first talent intelligence platform that maps skills to jobs with precision

  • Its suite of AI tools enables enterprises to plan hires develop staff and retain diverse talent for the long term

  • Eightfold has attracted over four hundred ten million dollars in funding earning a valuation of more than two billion

  • The venture capital and investors support its mission to ensure that anyone anywhere can find the fitting career match

  • The leadership team includes a PhD in Machine Learning from IIT Delhi and former Google search personalization lead

  • The other co‑founder graduated from IIT Bombay led Facebook news feed ranking and YouTube search at Google

  • Together they assembled a team focused on tackling one of society’s most central challenges in a fast‑growing startup

  • The company has been featured on major media platforms such as TechCrunch and Reuters by virtue of its innovation

  • Its workplace culture prioritizes hard business problems user centric design and inclusive high growth potential environment

  • As Eightfold scales globally its software is used by large enterprises to reimagine talent acquisition and workforce development

  • This makes the company both socially minded and commercially impactful in driving technology to better employment outcomes


Profile overview

A two hundred word summary of the candidate’s profile and role relevance:

  • As a Machine Learning Engineer on the AI Agents team you will build autonomous AI experiences that support talent workflows

  • You will collaborate with senior team members to implement systems enabling natural language agents to assist users

  • The role involves creating conversational interfaces that allow users to perform tasks through chat‑style exchanges

  • You will design and write scalable production code in Python that combines LLMs and generation AI tools

  • The team values experimentation so you will prototype chat systems and iterate based on feedback and usage signals

  • You will take part in design sessions code review meetings and planning discussions to shape architecture and feature roadmaps

  • Your work will blend data signals AI models and user interaction context to drive intelligent decision making in agents

  • For a global product used by millions your contributions will shape how people discover and pursue career paths

  • We prioritize curiosity coding ability and willingness to learn over prior industry or internship experience

  • You will grow by experimenting with machine learning frameworks such as PyTorch TensorFlow or LangChain

  • You will gain experience building AI systems at scale for real world enterprise use across many industries

  • The role suits someone who is early in their career eager to learn technology cropping up in generative AI and NLP

  • You must be comfortable working in a fast moving startup like environment with tight collaboration and iteration cycles

  • If you are driven by social impact and love building agentic AI that supports real users this position is a strong match


Qualifications

A bullet list near two hundred words describing requirements and core qualifications:

  • A Bachelor or Master degree in Computer Science AI Data Science or a related field recently earned or soon to be conferred

  • Solid foundation in data structures algorithm design and javascript or ideally Python programming

  • Coursework or demonstrable interest in machine learning natural language processing generative AI or agent‑based systems

  • Willingness to learn frameworks such as PyTorch TensorFlow or agent orchestration libraries like LangChain

  • Enthusiasm for working in team based development sessions brainstorming planning reviews and paired coding

  • Basic understanding of probability statistics optimization or regression techniques used in data science

  • Interest in building experiments analyzing outcomes and iterating based on what the data shows

  • Strong collaboration skills to work effectively in a team that values diverse ideas and creative problem solving

  • Capability to adopt new tools quickly and iterate on prototypes and real code that will serve paying customers

  • Ability to scale code from prototypes to production ready systems used by global clients

  • Successful candidates will be proactive self learners curious about AI trends and committed to continuous growth

  • Communication skills sufficient to explain technical ideas to peers for feedback and alignment

  • Though experience matters less total desire to create things using AI and working empathy for users will best suit this opportunity

  • Ideal candidates may include previous academic research on chatbots LLMs or generative agents

  • Internships or side project repositories showing coding or ML work are welcome and add strength to your profile

  • Familiarity with cloud platforms such as AWS or Google Cloud Platform is advantageous but not required


Additional info

Approximately two hundred words of extra details about work culture benefits and application context:

  • Hybrid work starts May first two thousand twenty five for employees near offices in Noida Bangalore or Santa Clara with three in‑office days weekly

  • The company blends remote flexibility with in person collaboration to support innovation and maintain high team spirit

  • Eightfold .ai is an equal employment opportunity employer offering inclusive hiring across demographics and backgrounds

  • There is no bias regarding race ethnicity religion gender identity veteran status or disability in evaluation or employment

  • Employees receive family‑medical vision and dental benefits alongside a competitive base salary

  • Team members are eligible for equity grants discretionary performance bonuses or commissions as part of total compensation

  • You will join an organization that values diversity creativity and problem solving in a mission to improve social mobility

  • You will learn from founders with experience at Google Facebook IIT who have built global search systems

  • The company culture emphasizes learning experimentation data driven decision making and user‑centred design

  • You will be able to grow professionally by working on real business challenges affecting hiring retention and workforce planning

  • Internally collaboration between engineering product design and talent partners ensures well aligned team execution

  • Employees have access to training tech talks mentorship and career development pathways as part of their growth journey

  • The company carefully monitors market trends and product usage to iterate rapidly and improve AI models over time

  • This role gives you access to high visibility projects with impact for millions of users and significant room for advancement


Please click here to apply.



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