AI/ML Computational Science Specialist
Accenture · Bengaluru · onsite · Posted 30d ago
Undisclosed2–5 yrsfulltimeSourced from
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About this role
About The Role
Skill required: Tech for Operations - Artificial Intelligence (AI)
Designation: AI/ML Computational Science Specialist
Qualifications:Any Graduation
Years of Experience:57 years
Language - Ability:English(International) - Intermediate
Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Songall powered by the worlds 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.
What would you do
As a part of the Knowledge-AI team, you will lead the development and deployment of AI-based assets using the latest technologies and advanced AI techniques. You will be responsible for building scalable, production-ready AI solutions using Machine Learning, Deep Learning, NLP, and Generative AI (GenAI) approaches. You will apply your expertise to understand complex business processes and design AI-driven solutions that reduce turnaround time and improve efficiency.You will collaborate with business experts, researchers, and platform engineers to deliver enterprise-grade AI solutions that align with Accentures core principles and deliver measurable outcomes. You will also contribute to innovation through patents, reusable assets, and enhancements to existing solutions.________________________________________
What are we looking for
Strong programming skills in Python and familiarity with libraries such as NumPy, pandas, scikit-learn, Matplotlib, and SeabornExperience with Machine Learning and Deep Learning frameworks (e.g., TensorFlow, PyTorch, Keras)Hands-on experience with Natural Language Processing (NLP) and Large Language Models (LLMs)Exposure to Generative AI, Prompt Engineering, and orchestration frameworks (e.g., LangChain, LlamaIndex)Experience with deploying AI models using FastAPI, Flask, or gRPCFamiliarity with containerization and orchestration tools (e.g., Docker, Kubernetes)Experience with cloud platforms (AWS, Azure, GCP) and services like SageMaker, Vertex AI, Azure MLUnderstanding of MLOps tools and practices (e.g., MLflow, DVC, Kubeflow, CI/CD pipelines)Ability to perform under pressure and manage multiple stakeholdersStrong business acumen and ability to translate business challenges into AI solutionsExcellent collaboration and communication skills across cross-functional teams________________________________________Designing scalable and modular AI architecturesImplementing CI/CD pipelines for ML workflows using tools like GitHub Actions, Jenkins, or Azure DevOpsWorking with vector databases (e.g., Pinecone, FAISS) for semantic search and RAG pipelinesApplying model optimization techniques (e.g., ONNX, TensorRT, quantization, distillation)Implementing observability and monitoring using Prometheus, Grafana, Arize AI, or WhyLabsUnderstanding of responsible AI practices (e.g., fairness, explainability, bias detection)Agile methodologies and sprint planningGood understanding of SQL and NoSQL databases
Roles and Responsibilities: Design, develop, and deploy AI-based solutions across multiple domainsProvide technical leadership and mentorship to junior team membersIndustrialize and commercialize AI products and solutionsAnalyze complex business processes and propose AI-based optimizationsManage cross-functional stakeholders and ensure alignment with business goalsDrive innovation and contribute to patents and reusable assetsLead product/solution development and collaborate with clients to deliver valueOperate in an Agile development environment and proactively manage risks and blockersEnsure adherence to quality control best practices including unit, integration, UAT, and performance testingMaintain comprehensive documentation and deliver compelling storytelling and presentations to stakeholders
QualificationAny Graduation
Skill required: Tech for Operations - Artificial Intelligence (AI)
Designation: AI/ML Computational Science Specialist
Qualifications:Any Graduation
Years of Experience:5
Language - Ability:English(International) - Intermediate
Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Songall powered by the worlds 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.
What would you do
As a part of the Knowledge-AI team, you will lead the development and deployment of AI-based assets using the latest technologies and advanced AI techniques. You will be responsible for building scalable, production-ready AI solutions using Machine Learning, Deep Learning, NLP, and Generative AI (GenAI) approaches. You will apply your expertise to understand complex business processes and design AI-driven solutions that reduce turnaround time and improve efficiency.You will collaborate with business experts, researchers, and platform engineers to deliver enterprise-grade AI solutions that align with Accentures core principles and deliver measurable outcomes. You will also contribute to innovation through patents, reusable assets, and enhancements to existing solutions.________________________________________
What are we looking for
Strong programming skills in Python and familiarity with libraries such as NumPy, pandas, scikit-learn, Matplotlib, and SeabornExperience with Machine Learning and Deep Learning frameworks (e.g., TensorFlow, PyTorch, Keras)Hands-on experience with Natural Language Processing (NLP) and Large Language Models (LLMs)Exposure to Generative AI, Prompt Engineering, and orchestration frameworks (e.g., LangChain, LlamaIndex)Experience with deploying AI models using FastAPI, Flask, or gRPCFamiliarity with containerization and orchestration tools (e.g., Docker, Kubernetes)Experience with cloud platforms (AWS, Azure, GCP) and services like SageMaker, Vertex AI, Azure MLUnderstanding of MLOps tools and practices (e.g., MLflow, DVC, Kubeflow, CI/CD pipelines)Ability to perform under pressure and manage multiple stakeholdersStrong business acumen and ability to translate business challenges into AI solutionsExcellent collaboration and communication skills across cross-functional teams________________________________________Designing scalable and modular AI architecturesImplementing CI/CD pipelines for ML workflows using tools like GitHub Actions, Jenkins, or Azure DevOpsWorking with vector databases (e.g., Pinecone, FAISS) for semantic search and RAG pipelinesApplying model optimization techniques (e.g., ONNX, TensorRT, quantization, distillation)Implementing observability and monitoring using Prometheus, Grafana, Arize AI, or WhyLabsUnderstanding of responsible AI practices (e.g., fairness, explainability, bias detection)Agile methodologies and sprint planningGood understanding of SQL and NoSQL databases
Roles and Responsibilities: Design, develop, and deploy AI-based solutions across multiple domainsProvide technical leadership and mentorship to junior team membersIndustrialize and commercialize AI products and solutionsAnalyze complex business processes and propose AI-based optimizationsManage cross-functional stakeholders and ensure alignment with business goalsDrive innovation and contribute to patents and reusable assetsLead product/solution development and collaborate with clients to deliver valueOperate in an Agile development environment and proactively manage risks and blockersEnsure adherence to quality control best practices including unit, integration, UAT, and performance testingMaintain comprehensive documentation and deliver compelling storytelling and presentations to stakeholders
QualificationAny Graduation
Sourced from naukri
Skills
JenkinsDockerKubernetesGithubStorytellingAgileNoSQLkerassprintNatural Language ProcessingmatplotlibFlask FrameworkPytorchTensorflowPythonSQLPandasNumpyDeep LearningArtificial IntelligenceMachine Learning
About Accenture
Accenture
IT Services & Consulting
350k+
employees
1989
37 years old
Dublin
Ireland
About
Accenture plc is an Irish-American, professional services company based in Dublin, specializing in information technology services and consulting.
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