Qureos Mentor

Accenture in India

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 Skill required:
 
 Talent Acquisition- end to end - Talent Identification
 
 
 
 Designation:
 
 Recruiting Analyst
 
 
 
 Qualifications:
 
 Any Graduation
 
 
 
 Years of Experience:
 
 3 to 5 years
 
 
 
 About Accenture
 
 
 
 Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song&mdash; all powered by the world&rsquo;s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
 
 
 
 What would you do?
 
 The ideal candidate will assist in the end-to-end recruitment process, ensuring smooth coordination, compliance, and timely communication with candidates and internal stakeholders -Maintain and update applicant tracking systems (ATS) with candidate information. -Coordinate background checks, drug tests, and onboarding documentation Talent Acquisition - End to End involves managing the entire recruitment process from start to finish. This includes identifying job needs, sourcing candidates, conducting interviews, and making job offers. The goal is to efficiently fill positions with the best talent. Responsibilities also include onboarding new hires and ensuring a smooth transition into the company. This role is crucial for building a strong and effective workforce. Assess current and future talent needs, identify mission-critical workforces, understand key workforce skills and competencies, and address talent gaps.
 
 
 
 What are we looking for?
 
 Recruiting Systems
 
 
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 Ability to establish strong client relationship
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 Ability to handle disputes
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 Ability to manage multiple stakeholders
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 Ability to work well in a team
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 Written and verbal communication Knowledge of ATS tool, Excel proficiency, Team Management, Stakeholder Management, handling job boards End to end Recruitment Process
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 HRMS Tool Roles and Responsibilities:
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 In this role you are required to do analysis and solving of lower-complexity problems
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 Your day to day interaction is with peers within Accenture before updating supervisors
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 In this role you may have limited exposure with clients and/or Accenture management
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 You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments
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 The decisions you make impact your own work and may impact the work of others
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 You will be an individual contributor as a part of a team, with a focused scope of work
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 Please note that this role may require you to work in rotational shifts
 
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Recruiting Analyst

<div>
 
 Skill required:
 
 Talent Acquisition - Candidate Assessments
 
 
 
 Designation:
 
 HR Service Delivery Associate
 
 
 
 Qualifications:
 
 Any Graduation
 
 
 
 Years of Experience:
 
 1 to 3 years
 
 
 
 About Accenture
 
 
 
 Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song&mdash; all powered by the world&rsquo;s largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
 
 
 
 What would you do?
 
 Provide high-volume administrative support for interviews, assessments, documentation follow-ups, manual data entry/updates, and training access coordination (where needed); ensure accurate records and SLA adherence on scheduling, assessment sends, and turnaround times. Talent Acquisition involves identifying, attracting, and hiring qualified candidates for job openings. This includes creating job postings, conducting interviews, and coordinating with hiring managers. The goal is to fill positions with the best talent efficiently. Responsibilities also include sourcing candidates, managing recruitment processes, and ensuring a positive candidate experience. This role is essential for building a strong and capable workforce. Filter applications using screening methodology to ensure the right skills are evaluated and the selected candidates have the right competencies to do the job. Ensure proper training of interviewers and conduct reference, certification and background checks.
 
 
 
 What are we looking for?
 
 Education: Graduate Degree Relevant experience into recruitment admin/coordinator experience and recruitment administration experience
 
 
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 Must have US staffing experience along with the other mandatory skills. Needs to meet the sourcing criteria &amp; within the standard compensation bracket for the role; basic communication skills to be put through for written assessment. Must be nearer to the target on skill/knowledge required should be put on hold and considered again depending on the available pipeline to meet hiring targets. Needs to fit the role requirement but above the standard compensation offered should be referred to delivery/transition lead for decision. Interview scheduling &amp; assessment coordination Data entry accuracy &amp; documentation hygiene ATS/scheduling/assessment tools US recruiting support exposure Roles and Responsibilities:
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 Schedule interviews and reminders in manual-assist scenarios; coordinate logistics with stakeholders.
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 Coordinate online assessments and track completion; handle manual sends when required.
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 Follow up with candidates for documentation and ensure timely, accurate submissions.
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 Perform manual system updates for interviews/assessments and data entry from external systems.
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 Coordinate training access as needed. Work Model &amp; Shifts: WFO; comfortable with US shift coverage as business requires; expectations to be set clearly during interviews., Any Graduation
 
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 </ul>
</div>

HR Service Delivery Associate

<div>
 
 Project Role :
 
 Forward Deployed Engineer
 
 
 
 Project Role Description :
 
 Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms.
 
 
 
 Must have skills :
 
 Python (Programming Language)
 
 
 
 Good to have skills :
 
 NA
 
 
 
 Minimum 2 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 15 years full time education
 
 
 Summary:
 
 
 As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based AI services or on-premises solutions to create robust, production-ready pipelines. The work often includes applying generative AI models and exploring various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to ensure seamless deployment and continuous improvement of AI-driven solutions is a key aspect of daily activities, fostering innovation and efficiency in delivering intelligent systems. AI Powered Tech Talent
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
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 Expected to perform independently and become a subject matter expert.
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 Required active participation and contribution in team discussions.
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 Contribute in providing solutions to work related problems.
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 Collaborate with team members to enhance the design and functionality of AI applications.
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 Assist in troubleshooting and resolving technical challenges encountered during development and deployment.
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 Support junior team members by sharing knowledge and providing guidance on project tasks.
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 Continuously update skills and knowledge to stay current with emerging AI technologies and methodologies.
 
 
 
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 </ul>
 Professional &amp; Technical Skills:
 
 
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 Must To Have Skills: Proficiency in Python (Programming Language).
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 Strong experience in developing and deploying AI and machine learning models.
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 Familiarity with cloud platforms and their AI service offerings.
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 Knowledge of deep learning frameworks and neural network architectures.
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 Ability to design and implement scalable application pipelines for production environments.
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 Experience with natural language processing and image processing techniques.
 
 
 
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 Additional Information:
 
 
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 The candidate should have minimum 2 years of experience in Python (Programming Language).
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 This position is based at our Pune office.
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 A 15 years full time education is required.
 
 </li>
 </ul>
</div>

Forward Deployed Engineer

<div>
 
 Project Role :
 
 AI / ML Engineer
 
 
 
 Project Role Description :
 
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
 
 
 Must have skills :
 
 Large Language Models (LLMs)
 
 
 
 Good to have skills :
 
 NA
 
 
 
 Minimum 3 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 15 years full time education
 
 
 Summary:
 
 
 As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models to enhance system capabilities. Additionally, the role may involve exploring various domains such as deep learning, neural networks, conversational agents, and image analysis to create innovative and efficient AI-driven solutions. Collaboration and continuous improvement are key aspects of daily activities in this position.
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Expected to perform independently and become an SME.
 </li>
 <li>
 Required active participation/contribution in team discussions.
 </li>
 <li>
 Contribute in providing solutions to work related problems.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI solutions with business objectives.
 </li>
 <li>
 Continuously research and implement emerging AI technologies to improve system performance.
 </li>
 <li>
 Document technical designs and processes to support knowledge sharing within the team.
 </li>
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 Assist junior team members by providing guidance and support in their development tasks.
 
 
 
 </li>
 </ul>
 Professional &amp; Technical Skills:
 
 
 <ul>
 <li>
 Must To Have Skills: Proficiency in Large Language Models (LLMs).
 </li>
 <li>
 Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
 </li>
 <li>
 Strong understanding of generative artificial intelligence models and their practical applications.
 </li>
 <li>
 Familiarity with deep learning frameworks and neural network architectures.
 </li>
 <li>
 Ability to develop and optimize AI pipelines for production environments.
 </li>
 <li>
 Knowledge of chatbot development and image processing techniques.
 
 
 
 </li>
 </ul>
 Additional Information:
 
 
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 The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
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 This position is based at our Coimbatore office.
 </li>
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 A 15 years full time education is required.
 
 
 
 </li>
 </ul>
 , 15 years full time education
</div>

AI / ML Engineer

<div>
 
 Project Role :
 
 AI / ML Engineer
 
 
 
 Project Role Description :
 
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
 
 
 Must have skills :
 
 Machine Learning (ML)
 
 
 
 Good to have skills :
 
 NA
 
 
 
 Minimum 7.5 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 15 years full time education
 
 
 Summary:
 
 
 As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing.
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
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 Expected to be an SME.
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 Collaborate and manage the team to perform.
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 Responsible for team decisions.
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 Engage with multiple teams and contribute on key decisions.
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 Expected to provide solutions to problems that apply across multiple teams.
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 Lead research and development efforts in AI/ML technologies.
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 Implement and optimize machine learning models.
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 Conduct data analysis and interpretation for business insights.
 
 
 
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 </ul>
 Professional &amp; Technical Skills:
 
 
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 Must To Have Skills: Proficiency in Machine Learning.
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 Strong understanding of statistical analysis and machine learning algorithms.
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 Experience with data visualization tools such as Tableau or Power BI.
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 Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
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 Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
 
 
 
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 </ul>
 Additional Information:
 
 
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 The candidate should have a minimum of 12 years of experience in Machine Learning.
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 This position is based at our Bhubaneswar office.
 </li>
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 A 15 years full-time education is required.
 
 </li>
 </ul>
</div>

<div>
 
 Project Role :
 
 AI / ML Engineer
 
 
 
 Project Role Description :
 
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
 
 
 Must have skills :
 
 Machine Learning (ML)
 
 
 
 Good to have skills :
 
 NA
 
 
 
 Minimum 3 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 15 years full time education
 
 
 Role Summary
 
 
 We are seeking a hands-on AI Native Engineer who can design, build, and deploy end-to-end agentic and LLM-powered systems. This includes constructing RAG pipelines, working with vector databases, building autonomous or semi-autonomous agents, integrating tools and skills, and developing evaluation frameworks for high-quality AI behaviour. You will prototype rapidly, experiment with models, and evolve solutions from PoC to production while working closely with cross-functional teams.
 
 
 AI Powered Tech Talent
 
 
 Key Responsibilities
 
 
 Agentic &amp; LLM System Development
 
 
 Build agentic AI systems, including agent orchestration, planning loops, tool calling, and memory modules.
 
 
 Implement LLM toolchains, custom prompts, templates, evaluators, and multi-step reasoning workflows.
 
 
 Develop autonomous/semi-autonomous agents for retrieval, summarization, decision support, or workflow automation.
 
 
 RAG Pipelines &amp; Vector Intelligence
 
 
 Design and implement RAG pipelines end-to-end: ingestion, chunking, embeddings, indexing, vector search, hybrid retrieval, and grounding.
 
 
 Integrate vector databases such as pgvector, Pinecone, Weaviate, or Milvus.
 
 
 Optimize retrieval quality, latency, and factual accuracy using rerankers, retrieval evaluators, and freshness pipelines.
 
 
 Model Integration &amp; AI Ops
 
 
 Integrate enterprise-grade AI APIs, foundation models, and transformer models into scalable systems.
 
 
 Implement robust evaluation frameworks including offline and online evals, regression tests, content safety checks, and red-team scenarios.
 
 
 Build monitoring for model drift, agent failure modes, hallucination detection, and end-to-end system health.
 
 
 Full-Stack &amp; Cloud Alignment
 
 
 Deploy services using Python/Node/Java microservices, serverless functions, or containerized workloads.
 
 
 Integrate event streams, API gateways, and cloud-native patterns across Azure/AWS/GCP.
 
 
 Build CI/CD pipelines for AI services with safe rollouts, versioning, and feature flags for model updates.
 
 
 Prototyping &amp; Rapid Iteration
 
 
 Rapidly experiment with models, embeddings, architectures, and agentic patterns.
 
 
 Translate business requirements into AI-native technical architectures and communicate trade-offs via demos and deep-dives.
 
 
 Document designs, experiments, and evaluation results for reproducibility and knowledge sharing.
 
 
 Professional &amp; Technical Skills
 
 
 Must-Have (AI Native Core)
 
 
 Hands-on experience with LLMs, agent frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, AutoGen), and vector DBs.
 
 
 Strong Python skills for building agents, RAG services, data pipelines, and evaluation harnesses.
 
 
 Deep understanding of transformer models, embeddings, prompt engineering, and model fine-tuning workflows.
 
 
 Experience deploying AI systems to production with monitoring, error handling, retries, and fallback strategies.
 
 
 Good to Have
 
 
 Experience with cloud AI platforms (Azure OpenAI, Bedrock, Vertex AI).
 
 
 Knowledge of multimodal models, reinforcement learning, or advanced reasoning agents.
 
 
 Familiarity with evaluation frameworks (pytest, JUnit) and custom eval harnesses.
 
 
 Additional Information
 
 
 Minimum 3 years of experience in ML/AI engineering (AI-native experience preferred).
 
 
 Location: Bengaluru.
 
 
 Education: 15 years full-time education., 15 years full time education
</div>

<div>
 
 Project Role :
 
 AI / ML Engineer
 
 
 
 Project Role Description :
 
 Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
 
 
 
 Must have skills :
 
 Large Language Models (LLMs), SAP CRM interaction Center
 
 
 
 Good to have skills :
 
 NA
 
 
 
 Minimum 3 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 15 years full time education
 
 
 Summary:
 
 
 As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies. This role requires integrating cloud-based or on-premises pipelines to ensure solutions are production-ready and scalable. The work often includes applying generative artificial intelligence models and exploring various domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and continuous improvement in AI-driven solutions.
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Expected to perform independently and become an SME.
 </li>
 <li>
 Required active participation/contribution in team discussions.
 </li>
 <li>
 Contribute in providing solutions to work related problems.
 </li>
 <li>
 Collaborate with team members to refine and optimize AI models and system architectures.
 </li>
 <li>
 Assist in documenting technical processes and best practices to support knowledge sharing.
 </li>
 <li>
 Support junior team members by providing guidance and sharing expertise to foster their professional growth.
 
 
 
 </li>
 </ul>
 Professional &amp; Technical Skills:
 
 
 <ul>
 <li>
 Must To Have Skills: Proficiency in Large Language Models (LLMs).
 </li>
 <li>
 Experience with designing and deploying AI applications using cloud AI services and on-premises infrastructure.
 </li>
 <li>
 Strong understanding of generative artificial intelligence models and their practical applications.
 </li>
 <li>
 Familiarity with deep learning frameworks and neural network architectures.
 </li>
 <li>
 Ability to develop and maintain production-quality AI pipelines ensuring robustness and scalability.
 </li>
 <li>
 Knowledge of chatbot development and image processing techniques.
 
 
 
 </li>
 </ul>
 Additional Information:
 
 
 <ul>
 <li>
 The candidate should have minimum 3 years of experience in Large Language Models (LLMs).
 </li>
 <li>
 This position is based at our Indore office.
 </li>
 <li>
 A 15 years full time education is required.
 
 
 
 </li>
 </ul>
 , 15 years full time education
</div>

Join Accenture in India and explore 11   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Accenture in India

About Company

Recruiting Analyst

HR Service Delivery Associate

Forward Deployed Engineer

AI / ML Engineer

AI / ML Engineer

AI / ML Engineer

AI / ML Engineer