ai and a - machine learning engineer - vg - w4 - cdao0230

hro (recruitment operations)-process developer/ management trainee/assistant manager

recruiting analyst

data analyst

Accenture in India

<div>
 
 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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 </ul>
</div>

Recruiting Analyst

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Title: Manager II, Machine Learning Engineer
 
 
 
 EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.
 
 
 Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you&rsquo;ll work with technologists and business experts, blending EY&rsquo;s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you&rsquo;ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.
 
 
 
 EY Technology:
 
 
 
 Technology has always been at the heart of what we do and deliver at EY. We need technology to keep an organization the size of ours working efficiently. We have 250,000 people in more than 140 countries, all of whom rely on secure technology to be able to do their job every single day. Everything from the laptops we use, to the ability to work remotely on our mobile devices and connecting our people and our clients, to enabling hundreds of internal tools and external solutions delivered to our clients. Technology solutions are integrated in the client services we deliver and is key to us being more innovative as an organization.
 
 
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 EY Technology supports our technology needs through three business units:
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 Client Technology (CT) - focuses on developing new technology services for our clients. It enables EY to identify new technology-based opportunities faster and pursue those opportunities more rapidly.
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 Enterprise Workplace Technology (EWT) &ndash; EWT supports our Core Business Services functions and will deliver fit-for-purpose technology infrastructure at the cheapest possible cost for quality services. EWT will also support our internal technology needs by focusing on a better user experience.
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 Information Security (Info Sec) - Info Sec prevents, detects, responds and mitigates cyber-risk, protecting EY and client data, and our information management systems.
 
 
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 The opportunity
 
 
 
 This role will be managing a team of machine learning engineers responsible for the development and programming of machine learning integrated software algorithms. Supports the continuous evolution and strategy of machine learning engineer program. This role also includes creating data mining architectures, applying data science methodologies, and researching emerging techniques to identify trends and inform business decisions.
 
 
 
 Your Key Responsibilities
 
 
 
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 Hires, evaluates, and supervises crew. Provides guidance and training as necessary to develop crew. Sets performance standards, reviews performance, and makes informed compensation decisions in accordance with all applicable Human Resources policies and procedures.
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 Oversees complex data pipelines and implements data engineering design principles for iterative data pipeline development to drive scale and efficiency.
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 Monitors existing data and model pipelines in a production environment. Identifies and diagnoses data inconsistencies and errors, documents assumptions, and forages to fill data gaps. Applies knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running artificial intelligence (AI) systems to automate predictive models.
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 Collaborates with other data science teams to review model ready dataset document/feature documentation.
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 Partners with data science teams to understand data requirements. Oversees detailed analysis of raw data sources for data quality, applies business context, and model development needs. Drives efficiency through the use of data discovery tools.
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 Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Supports ongoing business planning and departmental prioritization activities.
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 Guides model monitoring scripts as needed. Diagnoses root causes based on model monitoring alerts and triages issues. Coordinates and plans response to model monitoring alerts and resolves issues.
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 Executes operational plans to achieve department objectives. Collaborates with department or functional heads in planning, developing, and executing near-term goals.
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 Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
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 Participates in special projects and performs other duties as assigned.
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 Develops scalable data mining strategies and analytical models to uncover hidden patterns and improve decision-making processes across domains.
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 Applies domain-specific data analysis techniques in sectors like marketing, supply chain, or scientific research to deliver strategic impact.
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 Explores and integrates emerging data science frameworks and tools to enhance analytical maturity and model performance across the enterprise.
 
 
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 </ul>
 
 Skills And Attributes For Success
 
 
 
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 A team player with strong analytical, communication and interpersonal skills
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 Constantly updating yourself about new technologies in the market
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 A winning personality and the ability to become a trusted advisor to the stakeholders
 
 
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 To qualify for the role, you must have
 
 
 
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 Minimum 8 years of experience in data science, data engineering, or machine learning roles
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 Bachelor&rsquo;s degree (B.E./B.Tech) in Data Science, Computer Science, or Applied Mathematics; Master&rsquo;s degree/Diploma preferred in relevant fields
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 Strong hands-on experience in pipeline design, model monitoring, AI/ML implementation, stakeholder collaboration, and analytical storytelling.
 
 
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 Ideally, you&rsquo;ll also have
 
 
 
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 Strong verbal and written communication, facilitation, relationship-building, presentation and negotiation skills.
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 Be highly flexible, adaptable, and creative.
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 Comfortable interacting with senior executives (within the firm and at the client)
 
 
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 What We Look For
 
 
 
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 Strong teamwork, work ethic, product mindset, client centricity and a relentless commitment to EY values.
 
 
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 What Working At EY Offers
 
 
 
 We offer a competitive remuneration package where you&rsquo;ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
 
 
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 Support, coaching and feedback from some of the most engaging colleagues around
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 Opportunities to develop new skills and progress your career
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 The freedom and flexibility to handle your role in a way that&rsquo;s right for you
 
 
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 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

AI And A - Machine Learning Engineer - VG - W4 - CDAO0230

Turing

<div>
 
 
 About Turing:
 
 
 
 Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&amp;L
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are looking for experienced
 
 Machine Learning Engineers (MLE Bench)
 
 to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems.
 
 
 
 
 
 The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.
 
 
 
 
 
 
 What does day-to-day life look like?
 
 
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 Work with real-world ML codebases to support
 
 MLE Bench&ndash;style evaluation tasks
 
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 Build, run, and modify
 
 model training, evaluation, and inference pipelines
 
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 Prepare datasets, features, and metrics for ML benchmarking and validation.
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 Debug, refactor, and improve
 
 production-like ML systems
 
 for correctness and performance.
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 Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks.
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 Write
 
 clean, reproducible, and well-documented Python code
 
 for ML workflows.
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 Participate in
 
 code reviews
 
 to ensure high standards of engineering quality.
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 Collaborate with researchers and engineers to design
 
 challenging, real-world ML engineering tasks
 
 for AI system evaluation.
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 </ul>
 
 
 
 
 
 Requirements:
 
 
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 Minimum
 
 3+ years
 
 of overall experience as a
 
 Machine Learning Engineer or Software Engineer (ML-focused)
 
 .
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 Strong proficiency in
 
 Python
 
 for machine learning and data workflows.
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 Hands-on experience with
 
 model training, evaluation, and inference pipelines
 
 .
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 Solid understanding of
 
 machine learning fundamentals
 
 (supervised/unsupervised learning, evaluation metrics, optimization).
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 Experience working with
 
 ML frameworks
 
 (e.g., PyTorch, TensorFlow, JAX, or similar).
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 Ability to understand, navigate, and modify
 
 complex, real-world ML codebases
 
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 Experience writing
 
 readable, reusable, and maintainable production-quality code
 
 .
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 Strong problem-solving and debugging skills.
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 Excellent spoken and written
 
 English communication skills
 
 .
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 </ul>
 
 
 
 
 
 Perks of Freelancing With Turing:
 
 
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 Work in a fully remote environment.
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 Opportunity to work on cutting-edge AI projects with leading LLM companies.
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 </ul>
 
 
 
 
 
 Offer Details:
 
 
 <ul>
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 Commitments Required:
 
 At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
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 Engagement Type:
 
 Contractor assignment (no medical/paid leave)
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 <li>
 
 Duration of Contract:
 
 3 months (adjustable based on engagement)
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 </ul>
 
 
 
 
 Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
 
</div>

Remote 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 5 Year(s) Of Experience Is Required
 
 
 
 
 Educational Qualification :
 
 15 years full time education
 
 
 Summary:
 
 
 As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring high-quality application pipelines, and integrating generative AI models into various projects. You will also explore advanced techniques such as deep learning, neural networks, and image processing, contributing to innovative solutions that meet the needs of diverse stakeholders.
 
 
 Roles &amp; Responsibilities:
 
 
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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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 Provide solutions to problems for their immediate team and across multiple teams.
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 Facilitate knowledge sharing and mentoring within the team to enhance overall performance.
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 Evaluate and implement new technologies and methodologies to improve project outcomes.
 
 
 
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 Professional &amp; Technical Skills:
 
 
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 Must To Have Skills: Proficiency in Machine Learning (ML).
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 Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
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 Experience with cloud platforms and services for deploying AI solutions.
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 Familiarity with data preprocessing and feature engineering techniques.
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 Ability to work with large datasets and perform data analysis.
 
 
 
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 </ul>
 Additional Information:
 
 
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 The candidate should have minimum 7.5 years of experience in Machine Learning (ML).
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 This position is based at our Hyderabad office.
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 A 15 years full time education is required.
 
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 </ul>
</div>

AI / ML Engineer

Blumetra Solutions

<div>
 
 Work Location: Hyderabad (Hybrid Model)
 
 
 
 
 Prestige Skytech, Financial District
 
 
 
 
 Experience: 5 - 8 years
 
 
 
 
 Mandatory Skills: AI, ML, RAG, LLM
 
 
 
 
 Key Responsibilities
 
 
 
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 Agentic AI Development:
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 Build, customize, and deploy AI agents using frameworks like LangChain, AutoGen, CrewAI, and Haystack.
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 Enable agent reasoning, planning, and tool-use for complex tasks.
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 </ul>
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 RAG Pipeline Design:
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 Implement and optimize RAG pipelines for enterprise-scale knowledge retrieval.
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 Work with vector databases (Pinecone, FAISS, Weaviate, Milvus) to manage embeddings and context injection.
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 Fine-tune retrieval strategies, chunking logic, and metadata tagging for high-quality responses.
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 </ul>
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 Prompt Engineering &amp; LLM Integration:
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 Develop structured prompts, context-aware query chains, and workflows for LLMs (OpenAI, Anthropic, Llama, Mistral, etc.).
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 Integrate RAG-enabled LLMs into APIs, chatbots, and enterprise applications.
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 </ul>
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 Automation &amp; Platform Development:
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 Create orchestration pipelines for AI agents and RAG workflows.
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 Contribute to building internal AI platforms, dashboards, and monitoring systems.
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 Experimentation &amp; Research:
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 Stay current with new developments in RAG, multi-agent systems, and reasoning models.
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 Rapidly prototype AI solutions to demonstrate value to business teams.
 
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 </ul>
 </ul>
 
 Required Skills
 
 
 
 <ul>
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 Programming: Strong in Python; familiarity with JavaScript/TypeScript or Go is a plus.
 </li>
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 LLM Frameworks: Experience or coursework in LangChain, LlamaIndex, Haystack, or AutoGen.
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 RAG Expertise: Understanding of RAG concepts, document indexing, embeddings, retrieval strategies, and vector DBs.
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 Databases: PostgreSQL/MySQL for structured data; Pinecone, Weaviate, Milvus, FAISS for vectors.
 </li>
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 APIs &amp; Cloud: Knowledge of REST/GraphQL APIs and cloud services (AWS/GCP/Azure).
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 Version Control: Git, GitHub/GitLab, and CI/CD pipelines.
 
 
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 </ul>
 
 Preferred Skills (Good-to-Have)
 
 
 
 <ul>
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 Familiarity with LangGraph and other agent orchestration libraries.
 </li>
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 Exposure to multi-agent collaboration patterns and reasoning models (OpenAI o1, DeepSeek-R1).
 </li>
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 Knowledge of document preprocessing, semantic search, and hybrid retrieval.
 </li>
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 Understanding of MLOps for deploying and monitoring AI pipelines.
 </li>
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 Experience with Docker, Kubernetes, and distributed systems.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, AI/ML, or related field.
 </li>
 <li>
 Strong analytical skills, eagerness to experiment, and enthusiasm to learn cutting-edge AI tools.
 
 
 </li>
 </ul>
 Skills: llm,ai,rag,agents,ml
</div>

AI Engineer

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Recruiting Analyst

AI And A - Machine Learning Engineer - VG - W4 - CDAO0230

Remote ML Engineer

AI / ML Engineer

AI Engineer