ai consultant

Devoteam

<div>
 
 
 Company Description
 
 
 
 
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,&nbsp;
 
 
 
 Values:
 
 
 
 1. Respect
 
 
 2. Frankness
 
 
 3. Passion
 
 
 
 
 &nbsp;
 
 
 
 
 Job Description
 
 
 
 
 An AI Expert is a highly experienced professional with deep and broad knowledge across artificial intelligence who provides advanced guidance, mentorship, and problem‑solving on complex or cross‑cutting AI initiatives. &nbsp;&ldquo;AI Senior Consultant&rdquo; is the go‑to person (internal or external) who can connect the dots between AI domains and keep programs state‑of‑the‑art while aligning with business goals.
 
 
 
 Key Responsibilities
 
 
 
 &bull; Technical advisory: Advise on hard AI problems, evaluate modeling approaches/architectures, and troubleshoot issues (e.g., training instability, non‑convergence, data leakage). Review project plans and model designs for soundness.
 
 
 &bull; Thought leadership &amp; strategy: Identify high‑value opportunities for AI, assess emerging technologies, and recommend strategic directions (e.g., where to invest in new capabilities or data assets).
 
 
 &bull; Cross‑department collaboration: Liaise across projects to avoid duplicated effort, share approaches, and translate AI capabilities/limitations for executives and non‑technical stakeholders.
 
 
 &bull; R&amp;D and innovation: Stay current with research, prototype novel ideas, and participate in external communities (conferences, publications, open‑source) to keep practices cutting edge.
 
 
 
 
 Qualifications
 
 
 
 
 &bull; Experience: Typically 5+ years in AI/ML (fewer if experience includes significant, high‑impact contributions across multiple projects).
 
 
 &bull; Portfolio: Evidence of impact such as patents, publications, open‑source contributions, or high‑profile project outcomes.
 
 
 &bull; External recognition: Speaking engagements, standards/consortium participation, or similar indicators of recognized expertise.
 
 
 &bull; Teaching/mentoring: Demonstrated experience coaching teams and institutionalizing best practices.
 
 
 
 
 Additional Information
 
 
 
 
 
 Business Unit: Data &amp; Intelligence&nbsp;
 
 
 
 
 Level: Mid - Senior Level&nbsp;
 
 
 
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
 
</div>

AI Consultant

<div>Company Description 
Tech for People Unlocks the Future
At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us. 
With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
Devoteam Culture &amp; Values: 
True innovation is born from a powerful culture, fused with meaningful values.
Culture:
Fair and courageous 
Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it. 
 
Ambition and results 
Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint. 
 
Learning and innovating 
Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence. 
 
Caring and sharing 
A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration. 
At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
Values:
1. Respect 
2. Frankness 
3. Passion 
Job Description 
An AI Expert is a highly experienced professional with deep and broad knowledge across artificial intelligence who provides advanced guidance, mentorship, and problem&#8209;solving on complex or cross&#8209;cutting AI initiatives. &ldquo;AI Senior Consultant&rdquo; is the go&#8209;to person (internal or external) who can connect the dots between AI domains and keep programs state&#8209;of&#8209;the&#8209;art while aligning with business goals.<div>
Key Responsibilities 
<ul><li>Technical advisory: Advise on hard AI problems, evaluate modeling approaches/architectures, and troubleshoot issues (e.g., training instability, non&#8209;convergence, data leakage). Review project plans and model designs for soundness.</li><li>Thought leadership &amp; strategy: Identify high&#8209;value opportunities for AI, assess emerging technologies, and recommend strategic directions (e.g., where to invest in new capabilities or data assets).</li><li>Cross&#8209;department collaboration: Liaise across projects to avoid duplicated effort, share approaches, and translate AI capabilities/limitations for executives and non&#8209;technical stakeholders.</li><li>R&amp;D and innovation: Stay current with research, prototype novel ideas, and participate in external communities (conferences, publications, open&#8209;source) to keep practices cutting edge.</li></ul></div> 
Qualifications<ul><li> 
Experience: Typically 5+ years in AI/ML (fewer if experience includes significant, high&#8209;impact contributions across multiple projects).</li><li>Portfolio: Evidence of impact such as patents, publications, open&#8209;source contributions, or high&#8209;profile project outcomes.</li><li>External recognition: Speaking engagements, standards/consortium participation, or similar indicators of recognized expertise.</li><li>Teaching/mentoring: Demonstrated experience coaching teams and institutionalizing best practices.</li></ul> 
Additional Information 
Business Unit: Data &amp; Intelligence
Level: Mid - Senior Level
Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
To know more about us, please visit: www.devoteam.com</div>

TAWANTECH

<div>Role Overview:<ul>
<li>Provide AI strategy consulting for enterprises and government sectors.
</li><li>Build and lead AI Centers of Excellence (AI Factories).
</li><li>Support organizations in AI strategy implementation and deployment services.
</li><li>Conduct AI readiness assessments and maturity evaluations to identify gaps and opportunities.
</li><li>Collaborate with stakeholders to design scalable AI architectures aligned with business objectives.
</li><li>Guide clients on the adoption of emerging AI technologies and frameworks.
</li></ul>Key Responsibilities:<ul>
<li>Define and implement enterprise-level AI strategies.
</li><li>Architect end-to-end AI solutions across multiple domains (ML, NLP, Computer Vision, etc.).
</li><li>Assess AI maturity and deliver tailored roadmaps for digital transformation.
</li><li>Develop governance frameworks and best practices for AI adoption.
</li><li>Partner with business leaders to ensure AI solutions meet performance, security, and compliance standards.
</li><li>Provide technical leadership and mentorship for AI implementation teams.</li>
</ul>Requirements<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.
</li><li>7+ years of experience in architecture, strategic planning, and AI consultancy.
</li><li>Strong expertise in AI technologies, including:
</li><li><ul><li>Machine Learning (ML)
</li><li>Natural Language Processing (NLP)
</li><li>Deep Learning
</li><li>Robotic Process Automation (RPA)
</li><li>Computer Vision
</li><li>Generative AI &amp; Agentic AI
</li><li>OSINT &amp; GEOINT applications
</li></ul></li><li>Proven track record in designing and deploying enterprise-scale AI solutions.
</li><li>Strong business acumen with the ability to bridge the gap between technical and executive stakeholders.
</li><li>Excellent communication, presentation, and client-facing skills.
</li></ul>Preferred:<ul>
<li>Master&rsquo;s degree in AI, Data Science, or a related advanced field.
</li><li>AI-related certifications (e.g., AWS AI/ML Specialty, Google Cloud ML, Microsoft AI Engineer).
</li><li>Experience in regulated industries (healthcare, finance, government).</li></ul></div>

AI Consultant & Architect

Accenture

<div><h1 class="jobSectionHeader">Job Title- GenAI Health AI Use Case Implementation &ndash; H&amp;PS &ndash; S&amp;C Global Network</h1>
Management Level: Analyst / Consultant (Level 11/9)
Location: Bangalore / Chennai
Must Have Skills: Hands-on experience with AI/ML frameworks and tools such as TensorFlow, Prompt engineering, PyTorch, Scikit-learn, MLflow, Hugging Face, Azure ML, AWS SageMaker, AI/ML Model Development, GenAI Applications, GCP Vertex AI etc.
Good-to-Have Skills: Familiarity with healthcare data standards (HL7, FHIR, ICD-10, SNOMED, CPT, etc.) and health frameworks
Experience: Minimum 1-7 years of relevant experience in the health consulting domain
Educational Qualification: B. Tech/B.E. (Tier 1 preferred) + MBA (Tier 1/2 preferred)<h2 class="jobSectionHeader">
Job Summary:</h2><h2 class="jobSectionHeader">
As a Health AI Implementation Consultant in Accenture&rsquo;s Strategy &amp; Consulting Global Network (S&amp;C GN), you will work with leading healthcare and public service clients to design, develop, and deploy AI solutions that transform patient care, public health operations, payer efficiency, and provider services. Your role will span across AI/ML model development, data transformation, healthcare workflows, GenAI applications, and cloud enablement. You will design operating models, optimize processes, and enable AI-driven decision-making while supporting program management, business analysis, and value realization to help clients modernize healthcare delivery, improve outcomes, and accelerate digital transformation.</h2><h2 class="jobSectionHeader">
Roles &amp; Responsibilities:</h2><ul><li>
Understanding of healthcare ecosystems&mdash;payer, provider, and public health models&mdash;and exposure to global landscapes (US, Europe, Middle East, Asia-Pacific) is preferred. We welcome candidates who demonstrate strong problem-solving skills and an industry-driven mindset, with the ability to quickly adapt to health and public service contexts.</li><li>
Ability to design, test, and optimize prompts for LLMs that ensure contextual accuracy, reliability, and clinical/operational relevance.</li><li>
Hands-on ability to use lightweight Python code to interact with LLM APIs, build prompt libraries, and create repeatable workflows.</li><li>
Identify, assess, and solve complex business problems using domain expertise and GenAI techniques.</li><li>
Exposure to fine-tuning, evaluating, and applying LLMs (OpenAI, Anthropic, Cohere, LLaMA, Mistral, etc.) for healthcare/public service scenarios.</li><li>
Familiarity with healthcare data standards (e.g., FHIR, HL7, DICOM), electronic health records (EHRs), claims data, and public health datasets. Ability to frame prompts that incorporate structured and unstructured health data sources to deliver accurate outputs.</li><li>
Understanding of privacy, security, bias, and explainability requirements in AI-driven systems.</li><li>
Exceptional interpersonal and presentation skills to convey GenAI and prompt engineering value propositions to senior stakeholders.</li><li>
Support end-to-end delivery of AI/ML consulting engagements across healthcare domains such as clinical decision support, claims management, patient engagement, and public health analytics.</li><li>
Engage with client stakeholders (clinicians, payers, public health leaders) to conduct workshops and interviews for requirement gathering, capability maturity assessments, and AI adoption readiness.</li><li>
Conduct As-Is assessments of data flows and clinical/operational processes, and design To-Be AI-enabled workflows and operating models leveraging frameworks like Responsible AI (RAI) and data governance standards.</li><li>
Translate business needs into AI solution blueprints, process flows, user stories, and functional specifications for AI/ML implementations.</li><li>
Work closely with data engineers and technical teams to define AI/ML pipelines, identify automation opportunities, and develop AI transformation roadmaps.</li><li>
Analyze and optimize healthcare processes such as patient journey mapping, claims processing, service delivery, population health, and operational efficiency through AI models.</li><li>
Develop business cases, value driver trees, and performance KPIs aligned to AI transformation goals and value realization.</li><li>
Create high-quality client deliverables such as AI strategy documents, model design specifications, Responsible AI assessments, and actionable recommendations.</li><li>
Support business development initiatives, including RFP/RFI responses, go-to-market activities, proposal creation, and development of AI consulting assets and methodologies.</li><li>
Drive thought leadership by contributing to white papers, Points of View (POVs), and industry-focused research on AI in healthcare and public services.</li><li>
Ability to work in client-facing roles with some travel.</li></ul><h2 class="jobSectionHeader">
Must Have Experience:</h2><ul><li>
Proven Prompt Engineering Experience: At least 2 hands-on projects involving the design of prompt libraries, reusable prompt frameworks, or healthcare-specific use cases.</li><li>
Education / Experience: MBA, MPH, or M.Tech from a Tier 1 institute is a plus. Alternative we value equivalent relevant industry experience in healthcare or public service consulting.</li><li>
GenAI &amp; Digital Transformation Exposure: Experience in GenAI, data, and digital transformation initiatives with a focus on delivering measurable business value.</li><li>
Health Data &amp; Interoperability: Familiarity with standards such as FHIR, HL7, and DICOM, with the ability to structure prompts around complex health data sources.</li><li>
Cloud AI Ecosystems: Practical understanding of Azure, AWS, or GCP AI services for deploying and scaling prompt workflows</li></ul><h2 class="jobSectionHeader">
Additional Information:</h2><ul><li>
An opportunity to work on transformative prompt-engineering projects with key G2000 clients.</li><li>
Collaborate with leaders in strategy, industry experts, and GenAI practitioners to shape innovative prompt frameworks.</li><li>
Ability to embed responsible AI into healthcare/public service delivery.</li><li>
Personalized training modules to grow your skills in GenAI, LLM APIs, and domain consulting.</li><li>
Thrive in a culture committed to equality, collaboration, and continuous innovation</li><li>
Cross-cultural competence and adaptability to thrive in dynamic, global healthcare environments.</li><li>
Certifications in AI/ML, Cloud, Responsible AI, or Healthcare IT standards preferred</li><li>
Flexibility to travel for client engagements and on-ground implementation support</li></ul>
About Our Company | Accenture</div>
 
<div>Experience: Minimum 1-7 years of relevant experience in the health consulting domain
Educational Qualification: B. Tech/B.E. (Tier 1 preferred) + MBA (Tier 1/2 preferred)</div>

GN – Health – Data & AI – Consultant

Capgemini

<div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Your Role
</h2></div><div><ul><li>Design and implement generative AI models using Azure Machine Learning, Cognitive Services, and OpenAI APIs.
</li><li>Fine-tune and deploy models like GPT, Stable Diffusion, or custom transformers on Azure infrastructure.
</li><li>Build and optimize inference pipelines for real-time and batch generation.
</li><li>Integrate generative AI into enterprise applications and workflows.
</li><li>Collaborate with data scientists, product teams, and designers to deliver AI-powered features.
</li><li>Monitor model performance, address bias/hallucination issues, and ensure reliability.
</li><li>Stay current with generative AI research and contribute to experimentation and benchmarking.
</li><li>Ensure compliance with data privacy and ethical AI standards.
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Your Profile
</h2></div><div><ul><li>Strong experience with Azure AI services (Azure OpenAI, Azure ML, Cognitive Services).
</li><li>Proficiency in Python and ML frameworks like PyTorch, TensorFlow, Hugging Face.
</li><li>Hands-on experience with LLMs, GANs, diffusion models, and transformer architectures.
</li><li>Familiarity with prompt engineering, fine-tuning, and RAG (retrieval-augmented generation).
</li><li>Experience with model deployment tools (ONNX, TorchServe, Triton).
</li><li>Knowledge of vector databases and embedding techniques.
</li></ul></div></div><div><div><h2 class="jobSectionHeader">What you'll love about working here
</h2></div><div><ul><li>You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
</li><li>You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
</li><li>You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.
</li></ul></div></div></div>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div>

Azure Gen AI - Consultant

<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.
 
 
 
 Generative AI Consultant for Supply Chain Business Process &ndash; Senior Consultant
 
 
 
 
 The opportunity
 
 
 
 We&rsquo;re looking for Senior Level Consultants with expertise in Generative AI who can work on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. Analytics, AI innovation, and large-scale data solutions, is the key to join the Supply Chain Technology group of our GDS consulting Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering.
 
 
 This role demands a highly technical, extremely hands-on experience who will work closely with our EY Partners and external clients to develop new business as well as drive other initiatives on different business needs. The ideal candidate must have a good understanding of the problems and use cases that can be solved with Gen AI models with closest accuracy with Supply Chain industry knowledge and proven experience in delivering solutions to different lines of business and technical leadership.
 
 
 
 Your Key Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with data engineering teams to enable high-quality data curation for model training and evaluation.
 </li>
 <li>
 Design, develop, and fine-tune Generative AI models using frameworks like LangChain, Hugging Face, TensorFlow, or PyTorch.
 </li>
 <li>
 Implement solutions for data pre-processing, tokenization, and dataset augmentation.
 </li>
 <li>
 Deploy Generative AI models on cloud platforms (e.g., AWS, GCP, Azure) or edge devices, ensuring scalability and robustness.
 </li>
 <li>
 Work on MLOps pipelines, including CI/CD workflows, model monitoring, and retraining strategies.
 </li>
 <li>
 Conduct performance benchmarking, hyperparameter tuning, and optimization to improve model efficiency.
 </li>
 <li>
 Stay updated on the latest trends and advancements in Generative AI and integrate best practices into project workflows.
 
 
 </li>
 </ul>
 
 Skills And Attributes For Success
 
 
 
 <ul>
 <li>
 4-7 years or experience in Generative AI, Machine Learning, or Analytics development.
 </li>
 <li>
 Proficiency in Python with focus on AI/ML libraries and frameworks like LangChain, TensorFlow, PyTorch, or Hugging Face Transformers with quite good experience on RAG, Agent, and Transformers.
 </li>
 <li>
 Experience with data pipelines and tools like Spark, Snowflake, or Databricks.
 </li>
 <li>
 Strong hands-on experience deploying AI models on cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
 </li>
 <li>
 Expertise in Model Development with in-depth knowledge of LLMs (e.g., GPT-3.5, GPT-4, DALL-E, Text Embeddings Ada, LLAMA, T5, Bloom), prompt engineering, and Model selection and fine-tuning techniques.
 </li>
 <li>
 Should have good understanding of Model pricing can build cost effective solution.
 </li>
 <li>
 Experience with tools like MLflow, Kubeflow, or Airflow for operationalizing ML workflows, Docker.
 </li>
 <li>
 Ability to mentor developers and contribute to architectural decisions.
 </li>
 <li>
 Familiarity with Vector Databases and embeddings (e.g., Pinecone, Weaviate).
 </li>
 <li>
 Experience working on end-to-end analytics pipelines with a focus on actionable insights.
 </li>
 <li>
 Hands-on exposure to APIs for integrating Generative AI solutions into business applications.
 </li>
 <li>
 Knowledge of NLP techniques like summarization, text classification, and entity recognition.
 </li>
 <li>
 Certifications in Machine Learning or cloud platforms are a plus.
 
 
 </li>
 </ul>
 
 To qualify for the role, you must have
 
 
 
 <ul>
 <li>
 4-7 years ML, MLOps, Generative AI LLMs experience as Developer/Lead / Architect
 </li>
 <li>
 Expertise in the Data Engineering, Data transformation, curation, feature selection, ETL Mappings, Data Warehouse concepts.
 </li>
 <li>
 Should be able to design AI solutions and present solutions as per client needs
 </li>
 <li>
 Thorough knowledge in Structured Query Language (SQL), Python, PySpark, Spark, and other languages.
 </li>
 <li>
 Should have experience in developing end-to-end GenAI solutions with capability to migrate the solution for Production.
 </li>
 <li>
 Should have Knowledge of Cloud like Azure, AWS, GCP etc.
 </li>
 <li>
 Knowledge of framework like, LangChain, Hugging Face, Azure ML Studio Azure.
 </li>
 <li>
 Knowledge of data modelling and Vector DB management and modelling.
 </li>
 <li>
 Design and develop complex flows and processes.
 
 
 </li>
 </ul>
 
 Ideally, you&rsquo;ll also have
 
 
 
 <ul>
 <li>
 Quite good understanding of Supply Chain process and operations.
 </li>
 <li>
 Strong knowledge of Programming concepts, Cloud Concepts, LLM Models, design and coding
 </li>
 <li>
 Expertise in data handling to resolve any data issues as per client needs
 </li>
 <li>
 Experience in designing and developing DB objects and Vector Dbs.
 </li>
 <li>
 Experience of creating complex SQL queries, PySpark code, Python Scripting for retrieving, manipulating, checking and migrating complex datasets.
 </li>
 <li>
 Experience in Model selection and tuning of model.
 </li>
 <li>
 Good verbal and written communication in English, Strong interpersonal, analytical and problem-solving abilities.
 </li>
 <li>
 Experience of interacting with customers in understanding business requirement documents and translating them into ETL specifications and High- and Low-level design documents.
 </li>
 <li>
 Candidates having additional knowledge of BI tools such as PowerBi, Tableau, etc will be preferred.
 </li>
 <li>
 Experience with Cloud data bases and multiple ETL tools.
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 <ul>
 <li>
 The incumbent should be able to drive Generative AI and ML related developments. Additional knowledge of data structures preferably in Supply chain Industry will be an advantage.
 </li>
 <li>
 An opportunity to be a part of market-leading, multi-disciplinary team of 10000 + professionals, in the only integrated global transaction business worldwide.
 </li>
 <li>
 Opportunities to work with EY GDS consulting practices globally with leading businesses across a range of industries
 
 
 </li>
 </ul>
 
 What Working At EY Offers
 
 
 
 At EY, we&rsquo;re dedicated to helping our clients, from startups to Fortune 500 companies &mdash; and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:
 
 
 <ul>
 <li>
 Support, coaching and feedback from some of the most engaging colleagues around
 </li>
 <li>
 Opportunities to develop new skills and progress your career
 </li>
 <li>
 The freedom and flexibility to handle your role in a way that&rsquo;s right for you
 
 
 </li>
 </ul>
 
 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>

Supply Chain-AI Automation- Consultant

<div>Responsibilities:<ul>
<li>Recruit, screen, and place AI specialists (data scientists, ML engineers, AI researchers, etc.) across multiple industries.
</li><li>Provide training programs to upskill teams in advanced AI skills and emerging technologies.
</li><li>Deliver AI project manpower solutions, ensuring the right talent is aligned with project needs and timelines.</li>
</ul>Requirements<ul>
<li>Bachelor&rsquo;s degree in Business, IT, Computer Science, Software Engineering, or related field.
</li><li>Minimum 5 years of experience in AI staffing, talent management, training, and project-based manpower solutions.
</li><li>Familiarity with AI technical domains: ML, NLP, Deep Learning, RPA, Computer Vision, Gen AI, Agentic AI, OSINT, GEOINT.
</li><li>Strong communication, talent assessment, and training delivery skills.</li></ul></div>

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