7846 Artificial Intelligence Jobs - Page 31

Role & responsibilities 1.Programming Languages 2.Machine Learning & Deep Learning 3.Natural Language Processing (NLP) 5. Data Engineering & Analytics 6.AI Model Deployment

Job Description Designation: AI/ML Developer Location: Ahmedabad Department: Technical Job Summary: We are looking enthusiastic AI/ML Developer with 2 to 3 years of relevant experience in machine learning and artificial intelligence. The candidate should be well-versed in designing and developing intelligent systems and have a solid grasp of data handling and model deployment. Key Responsibilities: Develop and implement machine learning models tailored to business needs. Develop and fine-tune Generative AI models (eg, LLMs, diffusion models, VAEs) using platforms like Hugging Face, LangChain, or OpenAI. Conduct data collection, cleaning, and pre-processing for model readiness. Train, test, and optimize models to improve accuracy and performance. Work closely with cross-functional teams to deploy AI models in production environments. Perform data exploration, visualization, and feature selection Stay up-to-date with the latest trends in AI/ML and experiment with new approaches. Design and implement Multi-Agent Systems (MAS) for distributed intelligence, autonomous collaboration, or decision-making. Integrate and orchestrate agentic workflows using tools like Agno, CrewAI or LangGraph. Ensure scalability and efficiency of deployed solutions. Monitor model performance and perform necessary updates or retraining. Requirements: Strong programming skills in Python and experience with libraries like Tensor Flow, PyTorch, Scikit-learn, and Keras. Experience working with vector databases (Pinecone, Weaviate, Chroma) for RAG systems. Good understanding of machine learning concepts, including classification, regression, clustering, and deep learning. Knowledge of knowledge graphs, semantic search, or symbolic reasoning. Proficiency in working with tools such as Pandas, NumPy, and data visualization libraries. Hands-on experience deploying models using REST APIs with frameworks like Flask or FastAPI. Familiarity with cloud platforms (AWS, Google Cloud, or Azure) for ML deployment. Knowledge of version control systems like Git. Experience with Natural Language Processing (NLP), computer vision, or predictive analytics. Exposure to MLOps tools and workflows (eg, MLflow, Kubeflow, Airflow). Basic familiarity with big data frameworks like Apache Spark or Hadoop. Understanding of data pipelines and ETL processes. What we offer: Opportunity to work on live projects and client interactions. A vibrant and learning-driven work culture. 5 days a week Flexible work timings. About Company Techify is the Fastest Growing Tech Company with a talented, passionate and learning team. Techifys DNA Is About Solutions Technologies. We are here to help our customers grow their business. Our Vision is to Become One of the Best Product Engineering companies in India We put client relationships first hence our mission is to build software solutions that help clients transform their business by unleashing hidden potential with technology. So our success mantra is Customer first, Team second and We are the third. Our main focus is our Customers and Partners success. Our visionary and experienced team turns innovative ideas into efficient products softwares. Our well-defined processes ensure on-time delivery to our partners giving us an edge over our competitors. The most important pillar in achieving our goals is our dedicated Team and to encourage them and keep them motivated, we have set up a culture that rewards Self Development and Innovation. Our cutting-edge services include intensive research and analysis to identify the appropriate technology to achieve best performances by incurring least cost possible. We take a studied approach towards cost, performance, feature trade-offs to help companies surmount the challenges of delivering high-quality, timely products and services to the marketplace. We have the ability to take up any product be it at the stage of defining, designing, verifying or realizing.

Role Objective- To impart training and monitor the student life cycle for ensuring standard outcome Responsibilities Impart training on AI domain Mapping and identifying areas where needy and underprivileged youths may be found and counseling them to enroll in relevant courses. Review student resumes and give feedback; provide coaching for the interview process. Conducting mock Assign and grade class work, homework, tests and Encourage and monitor the progress of individual Observe and maintain accurate and complete records of students progress and development. Counseling students with academic problems and providing student Groom the students to prepare them for Needs to undertake additional responsibilities from time to time based on the organization s needs. Important Topics (Required) Fundamentals of Artificial Intelligence (AI) Machine Learning (ML) Deep Learning (DL) Natural Language Processing (NLP) and Large Language Models (LLMs) Computer Vision Model Deployment Techniques AI Tools and Frameworks AI Ethics and Governance Desired profile Graduate Relevant experience of at least 1(one) Professional training in AI & its Computer literate with sound knowledge of Microsoft Office Willingness to travel Good Communication Skills, Influencing Skills . Proficient in English and Hindi Preferred Industry: IT/ITES Job Category: AI Faculty Job Type: Full Time Job Location: Jharkhand-Ranchi

Automation Testers are requested not to apply; Develop a new product that delivers Software Automation in all phases of Infrastructure Management to End-customers in the AI space with IaC; Git, CI/CD; Bash Script; Kubernetes; virtualization; LINUX OS Required Candidate profile Solid Command on Java, Python, C, C++. (any of them); Ansible playbooks, code that manage Linux-based HPC and AI environments; Bare metal provisioning: PXE, kickstart; Linux-based systems; Ansible;

Job Description: We are seeking an enthusiastic and highly skilled Senior AI ML Developer to join our team and work on exciting AI initiatives. The ideal candidate should have worked in CRM Domain like Zoho CRM/ Fresh works and have expert knowledge in AI/ML models, LLMS, Vector database and RAG techniques to automate workflows, create conversational analytics assistants and create similarity models by clustering/ embeddings. Key Responsibilities: 1. Develop CRM Agentic AI Design and implement AI agents using frameworks like Lang Chain, AutoGPT, or ReAct. Automate CRM processes by enabling agents to handle emails, generate follow-ups, update pipelines, and classify tickets. Integrate models for sentiment analysis, intent recognition, entity extraction, and summarization. Connect agents to external APIs, calendars, and CRM tools (e.g., Salesforce, HubSpot). Manage agent memory and context via vector databases like FAISS or Pinecone. 2. Conversational KPI Dashboard Assistant Build a chatbot interface that allows users to query CRM KPIs via natural language. Use Python, LangChain, and OpenAI APIs to parse queries and trigger backend data retrieval tools. Render results in both dashboard format (e.g., Recharts/Chart.js) and tabular views. Support queries like Whats the total expected revenue this quarter?” or “Show me the lead-to-win ratio by region.” 3. Similarity and Recommendation Engines Extract features from existing AI/ML libraries. Build and manage an embedding database for semantic similarity search. Implement clustering algorithms (e.g., K-Means) to group songs based on genre. Develop a scoring system to compare new tracks to a database of existing songs. Required Experience and Qualifications: 4+ years of experience in AI/ML Model development. Should have expert knowledge in CRM Domain including workflows, Forms, Dashboards/reports and data import/export as done. Proficient in Python, with strong experience in TensorFlow, PyTorch, and Scikit-learn. Working knowledge of LangChain, AutoGPT and LLM integration. Expertise in developing Agents for CRM, Dashboards in Leading organisation. Expertise in implementing Agentic AI solutions using LLM models, RAG and Vector database. Proven experience in vector similarity, embedding models and clustering techniques. Passionate about AI innovation and solving real-world challenges with automation and intelligence Proven experience in designing platform architecture and managing API integrations. Strong background in microservices architecture and REST API design. Demonstrated experience with scalability and performance optimization for cloud-based platforms. Experience with Agile methodologies and leading cross-functional teams in a fast-paced environment. Excellent communication and presentation skills for delivering product demos and gathering customer feedback. Proven ability to manage a product roadmap and deliver on tight deadlines. Experience with data security, compliance, and industry best practices. A bachelor’s degree in computer science, engineering, or a related field.

Hi, Greetings from Sun Technology Integrators!! This is regarding a job opening with Sun Technology Integrators, Bangalore. Please find below the job description for your reference. Kindly let me know your interest and share your updated CV to nandinis@suntechnologies.com ASAP. Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python Please let me know, if any of your friends are looking for a job change. Kindly share the references. Please Note: WFO- Work From Office (No hybrid or Work From Home) Shift Details: IST Shift - 12.30 PM to 9.30 PM IST -2 ways free cab facility(Pickup+Drop) Years of Exp-5 to 10 years Interview Mode- 2 rounds Virtual interview Thanks and Regards, Nandini S | Sr.Technical Recruiter Sun Technology Integrators Pvt. Ltd. nandinis@suntechnologies.com www.suntechnologies.com

Job Description Position: AI Ethusiast / Junior AI Developer Experience: 2 years Academic Requirement: Recent Graduate with a degree in Mathematics, Computer Science, Physics, or a related field. Compensation: As per market standards Hiring Manager: Priteshsinh Solanki Location: India (Remote or In-Office) Probation: 6 Months Skills: Strong interest in artificial intelligence and machine learning. Familiarity with programming languages such as Python. Basic understanding of APIs and data integration. Eagerness to learn and adapt to new technologies quickly. About Company: CT Automotive is at the forefront of innovation in the automotive industry. We are looking to expand our team with passionate individuals who are eager to explore and develop cutting-edge AI technologies. Role Overview: We are seeking a recent graduate with a strong background in mathematics, computer science, or physics, and a keen interest in artificial intelligence and language models. This role will involve working on innovative projects that leverage AI to solve real-world problems within the automotive sector. Key Responsibilities: Collaborate on the development of AI-driven tools and interfaces. Work with APIs to integrate AI models into our existing systems. Assist in building data-driven solutions, such as logistics cost estimation tools. Stay up to date with the latest developments in AI and machine learning technologies. (23-07-2025) CT AUTOMOTIVE INDIA

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Providing guidance and support for company projects and initiatives Working with Stakeholders to implement technology solutions to their requirements on Surveillance platforms. Data analysis and production of technical documentation, formulating testing approaches, test plans and cases. Regular updates to senior stakeholders Supporting business users with user acceptance testing. Presentation of results to senior stakeholders Skills Must have 7+ years of Business Analysis & UAT experience in Capital Markets domain experience. Solid understanding of trade surveillance practices, market abuse regulations, and related compliance requirements (e.g., MAR, Dodd-Frank, MiFID II) Knowledge of trade surveillance tools and systems (e.g., Actimize, SMARTS, or similar) Good knowledge of Python/Pyspark and SQL Strong analytical and problem-solving skills Excellent communication and interpersonal skills, with the ability to collaborate with diverse teams and stakeholders Ability to work independently and manage multiple priorities in a dynamic environment Good understanding of business change and software development life cycles Strong stakeholder management skills Analyse trade data to identify trends, anomalies, and potential risk areas. Generate detailed reports for senior management, compliance, and regulatory bodies to support ongoing monitoring efforts. Analyze trade data to identify trends, anomalies, and potential risk areas. Generate detailed reports for senior management, compliance, and regulatory bodies to support ongoing monitoring efforts. Nice to have Machine Learning, Artificial Intelligence

Position level: AI Specialist/Software engineering professional (Cant be a junior/fresher, needs to be middle to senior level person) Work Experience: Ideally, 4 to 5 years of working as a Data Scientist / Machine Learning and AI at a managerial position (end-to-end project responsibility). Slightly lower work experience can be considered based on the skill level of the candidate. About the job: Use AI-ML to work with data to predict process behaviors. Stay abreast of industry trends, emerging technologies, and best practices in data science, and provide recommendations for adopting innovative approaches within the product teams. In addition, championing a data-driven culture, promoting best practices, knowledge sharing, and collaborative problem-solving. Abilities: Knowledge about data analysis, Artificial Intelligence (AI), Machine Learning (ML), and preparation of test reports to show results of tests. Strong in communication with a collaborative attitude, not afraid to take responsibility and make decisions, open to new learning, and adapt. Experience with end-to-end process and used to make result presentation to customers. Technical Requirements: Experience working with real world messy data (time series, sensors, etc.) Familiarity with Machine learning and statistical modelling Ability to interpret model results in business context Knowledge of Data preprocessing (feature engineering, outlier handling, etc.) Soft Skill Requirements: Analytical thinking Ability to connect results to business or process understanding Communication skills Comfortable explaining complex topics to stakeholders Structured problem solving – Able to define and execute a structured way to reach results Autonomous working style – can drive a small project or parts of a project Tool Knowledge: Programming: Python (Common core libraries: pandas, numpy, scikit-learn, matplotlib, mlfow etc.); Knowledge of best practices (PEP8, code structure, testing, etc.) Code versioning (GIT) Data Handling: SQL; Understanding of data format (CSV, JSON, Parquet); Familiarity with time series data handling Infrastructure: Basic Cloud technology knowledge (Azure (preferred), AWS, GCP); Basic Knowledge of MLOps workflow Good to have: Knowledge of Azure ML, AWS SageMaker; Knowledge of MLOps best practices in any tool; Containerization and deployment (Docker, Kubernetes) Languages: English – Proficient/Fluent Location: Hybrid (WFO+WFH) + Availability to visit customer sites for meetings and work-related responsibilities as per the project requirement.

Date 10 Jul 2025 Location: Bangalore, KA, IN Company Alstom At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Your future role Take on a new challenge and apply your data science expertise in a cutting-edge field. Youll work alongside innovative and collaborative teammates. You'll play a key role in shaping Alstoms next-generation data-driven solutions for the mobility industry. Day-to-day, youll work closely with teams across the business (engineering experts, data engineers, DevOps/MLOps engineers, and HMI designers), develop machine learning models, and contribute to the development of proof-of-concept applications in maintenance, operations, energy, and city flow domains. Youll specifically take care of extracting key insights from mobility data using advanced tools and techniques, but also contribute to building AI/ML software modules to enhance customer performance and experience. Well look to you for: Designing and developing data-driven solutions, integrating engineering aspects and evaluating financial impacts Implementing feature selection/extraction methods to improve ML models and derive interpretable insights Building and optimizing machine learning models, including supervised and unsupervised approaches Assessing and enhancing the quality of incoming data and model outputs using appropriate evaluation metrics Collaborating with domain experts to define and meet business requirements Creating reports and explanatory materials to communicate insights effectively Evaluating opportunities from emerging mathematical approaches and data science technologies Applying strong testing and quality assurance practices All about you We value passion and attitude over experience. Thats why we dont expect you to have every single skill. Instead, weve listed some that we think will help you succeed and grow in this role: Degree in computer science or engineering, supplemented by training in data science/ML or related disciplines Excellent knowledge of Python programming Understanding of modern statistics, including time-series and signal processing, text mining, or image processing Experience with Python data science stack (e.g., pandas, scikit-learn, keras, numpy, tensorflow) Strong knowledge of artificial intelligence and machine learning algorithms (e.g., classification, regression, dimensionality reduction, neural networks, deep learning) Experience in building and optimizing supervised and unsupervised ML models Experience with database management (SQL, ElasticSearch, etc.) Proficiency in a LINUX environment (shell scripting) [OptionalExperience in PHM, predictive maintenance, traffic modelling, NLP, video analytics, or sequence mining] [OptionalFamiliarity with Git and release management] Things youll enjoy Join us on a life-long transformative journey the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. Youll also: Enjoy stability, challenges and a long-term career free from boring daily routines Work with cutting-edge technologies to revolutionize digital mobility Collaborate with cross-functional teams and supportive colleagues Contribute to innovative projects in the mobility domain Utilise our flexible and inclusive working environment Steer your career in whatever direction you choose across functions and countries Benefit from our investment in your development, through award-winning learning programs Progress towards leadership or technical expert roles Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension) You dont need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, youll be proud. If youre up for the challenge, wed love to hear from you! Important to note As a global business, were an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. Were committed to creating an inclusive workplace for everyone.

Position: Gen AI Engineer Location: Noida/ Hyderabad Job Overview: As a Generative AI Engineer in our engineering team, you will be responsible for developing and implementing cutting-edge generative AI models to solve complex problems and drive innovation across our organization. You will work closely with software engineers, and product managers to design, build, and deploy AI-powered solutions that enhance our products and services. Key Responsibilities: Design, train, fine-tune, and evaluate generative AI models (LLMs, diffusion models, transformers, etc.) Implement prompt engineering and retrieval-augmented generation (RAG) pipelines Develop APIs and services for integrating generative AI into products Build and maintain scalable machine learning pipelines (e.g., data preprocessing, model training, inference serving) Conduct experiments, benchmark models, and contribute to model selection Collaborate cross-functionally with product, design, and infrastructure teams Monitor and optimize model performance, latency, and safety in production Stay current with state-of-the-art research in generative AI and foundation models Qualifications & Skills: Bachelor's or Masters degree in Computer Science, AI, Data Science, or a related field 5+ years of experience working with deep learning frameworks (e.g., PyTorch, TensorFlow) Strong understanding of transformer architectures, attention mechanisms, and generative models Experience with LLM s like GPT, LLaMA, Claude, Mistral, or similar Proficiency in Python and ML tooling (e.g., Hugging Face, LangChain, Weights & Biases) Familiarity with cloud environments (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) If interested plz contact 9513487487 jobs@intellisearchonline.net

Skill required: Tech for Operations - Microsoft Robotic Process Automation Designation: App Automation Eng Associate Qualifications: BE/Any Graduation Years of Experience: 1 to 3 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationAutomate Business Processes using Robotic Process Automation Tools (Blue Prism and Automation Anywhere) Cognitive RPA like OCR, NLP, ML/AI, and API Integrations to provide automation in a process. It includes writing code using scripting language like C, VB.NET, Python etc. to help in Automations. Design architecture of automation solutions and RPA tools to design process flows, write code, and create technical documentation to provide end-to-end automation. What are we looking for Automation AnywhereAbility to establish strong client relationshipProblem-solving skillsAbility to work well in a teamAutomation in Application Development Roles and Responsibilities: In this role you are required to solve routine problems, largely through precedent and referral to general guidelines Your expected interactions are within your own team and direct supervisor You will be provided detailed to moderate level of instruction on daily work tasks and detailed instruction on new assignments The decisions that you make would impact your own work You will be an individual contributor as a part of a team, with a predetermined, focused scope of work Please note that this role may require you to work in rotational shifts Qualification BE,Any Graduation

ABOUT US: Newton School and Rishihood University have formed a powerful partnership to drive transformation in the world of technology and education. Newton School, dedicated to bridging the employability gap, has partnered with Rishihood University, India's first impact university. Together, we will be revolutionizing education, empowering students, and shaping the future of technology. With a team of experienced professionals and renowned investors, we are united in our mission to solve the employability challenge and make a lasting impact on society. Job Summary: Are you passionate about computer science? Join us as an Assistant Professor in the Computer Science department at Sonipat, Delhi NCR. We are seeking an experienced professional to deliver high-quality lectures, design course content, and mentor students and take lab classes ensuring their success in the tech field. Key Responsibility Areas: Course Development and Planning Owning and running labs Cross-Functional Team Collaboration Owning up to Academic Success Tutoring and Student Support Stakeholder Management Willingness to work in Sonipat, Delhi NCR. Role Description: - Develop course materials and curriculum. - Collaborate with team members to improve the learning experience. -Provide guidance and support to students in understanding the subjects or the programming languages. -Take ownership of labs, guide students in creating and developing projects. Qualifications: • M.Tech in Computer Science or related field. • Experience in teaching or mentoring students is preferred. • Excellent communication and presentation skills. • Experience with industry-standard tools and technologies. • Experience with DSA OR MERN OR DBMS, any one or more are acceptable. Requirements: • Strong expertise in topics related to In-depth knowledge of Database Management Systems - Relational Database Management Systems (RDBMS), Querying in SQL, Normalization, Indexing, Transactions, Query Optimization, Data Modeling, Database Design, ACID properties, NoSQL Databases. • Preferred frontend technologies: HTML, CSS, Java Script, React Js. - Strong expertise in topics related to Advanced Data Structures and Algorithm -Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting Algorithms, Searching Algorithms, Dynamic Programming, Algorithm Analysis, Recursion • Anyone of the above-mentioned technologies is accepted. Perks and Benefits: Market Competitive Salaries/ Stipend Research Opportunities and industry collaborations Inculcate research and innovation in students, help Rishihood university to do cutting-edge work in the computer science department. State-of-the-Art Facilities in Labs and Classrooms.

Dear Candidate, This is with reference for Opportunity for Tech Lead - GCP AI (Gemini) professionals PFB the JD Responsibilities: Lead the development and implementation of AI-driven solutions using GCP services and Gemini technologies. Collaborate with stakeholders to understand business requirements and translate them into scalable, secure technical solutions. Design and optimize AI architectures for performance, reliability, and cost-effectiveness. Establish best practices for AI model development, deployment, and monitoring. Ensure compliance with ethical AI principles, data governance, and security standards. Provide technical leadership and mentorship to cross-functional teams, including data scientists and engineers. Stay updated with emerging trends in AI and cloud technologies, particularly within the GCP ecosystem. Troubleshoot and resolve complex technical issues related to AI systems. Document architectural designs, technical decisions, and best practices for future reference. Eligibility Criteria: Bachelors or masters degree in computer science, Data Science, or a related field. Extensive experience with GCP AI services and Gemini technologies. Strong understanding of AIarchitecture, machine learning, and optimization techniques. Proficiency in programming languages such as Python, Java, or similar. Experience with cloud-based AI solutions and MLOps practices is a plus. Familiarity with ethical AI principles and frameworks. Knowledge of data governance,compliance standards, and security protocols. Excellent problem-solving and analytical skills. Proven leadership and team management abilities. Ability to work in a fast-paced environment and manage multiple priorities. Skill - Tech Architect - GCP AI (Gemini) Location - Pune/Bangalore

We are seeking a highly skilled AI Engineer with expertise in Multimodal Retrieval-Augmented Generation (RAG), Vector databases, and Large Language Model (LLM) implementation. AI/ML engineering, with a focus on multimodal systems and LLMs.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills : Google Cloud Machine Learning Services Good to have skills : Google Pub/Sub, GCP Dataflow, Google DataprocMinimum 2 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 to enhance performance and efficiency. Your typical day will involve collaborating with cross-functional teams to design and implement innovative solutions, utilizing advanced technologies such as deep learning and natural language processing. You will also be responsible for analyzing data and refining algorithms to ensure optimal functionality and user experience, while continuously exploring new methodologies to drive improvements in AI applications. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and development of AI-driven applications to meet project requirements.- Collaborate with team members to troubleshoot and resolve technical challenges. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Machine Learning Services.- Good To Have Skills: Experience with GCP Dataflow, Google Pub/Sub, Google Dataproc.- Strong understanding of machine learning frameworks and libraries.- Experience in deploying machine learning models in cloud environments.- Familiarity with data preprocessing and feature engineering techniques. Additional Information:- The candidate should have minimum 2 years of experience in Google Cloud Machine Learning Services.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Sr Manager Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 16 to 25 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation1 CL6 AI Research Scientists1. Deep Expertise in Machine Learning & AI Theory2. Algorithm Design & Theoretical Innovation3. Data Proficiency & Synthetic Data Generation4. Responsible AI & Ethical Awareness5. Programming & ToolingThe Azure OpenAI Service L100 deck also emphasizes the evolution of tooling from symbolic AI to modern generative models 6.6. Collaboration & CommunicationAI Research Scientists often work in interdisciplinary teams and must:Publish researchPresent at conferencesCollaborate with engineers, product teams, and stakeholders1 CL6 Data ScientistsThis role requires a unique blend of technical and legal fluency. 1Data Scientists must be able to build and evaluate models that power autonomous agentsespecially those involved in legal document analysis, compliance automation, and contract intelligencewhile ensuring these agents adhere to evolving legal standards 2. According to the GenAI Foundation Strategy_12AUG2024, this includes assessing AI use cases Roles and Responsibilities: In this role you are required to identify and assess complex problems for area(s) of responsibility The individual should create solutions in situations in which analysis requires in-depth knowledge of organizational objectives Requires involvement in setting strategic direction to establish near-term goals for area(s) of responsibility Interaction is with senior management levels at a client and/or within Accenture, involving negotiating or influencing on significant matters Should have latitude in decision-making and determination of objectives and approaches to critical assignments Their decisions have a lasting impact on area of responsibility with the potential to impact areas outside of own responsibility Individual manages large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Skill required: Marketing Operations - Marketing Automation & Technology Execution Designation: Marketing Platform Auto Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do We are seeking a talented and motivated AI Developer to join our dynamic team. As an AI Developer, you will be responsible for developing, implementing, and optimizing AI models and algorithms to solve complex business challenges. You will work closely with cross-functional teams to design intelligent solutions that scale and meet the needs of our projects. What are we looking for Develop AI Models:Design and build machine learning, deep learning, and NLP models to automate business processes and enhance decision-making. Data Processing:Collect, clean, and preprocess data to ensure it is ready for training AI models. Model Optimization:Tune and optimize models to improve performance and scalability. Collaborate with Teams:Work closely with data scientists, engineers, and product managers to define and implement AI solutions. AI Research:Stay updated with the latest trends in artificial intelligence and machine learning and apply state-of-the-art techniques in your work. Deploy AI Solutions:Work on integrating AI models into production systems and ensure they work seamlessly. Testing & Validation:Conduct thorough testing of AI models to ensure they are accurate, efficient, and robust. Documentation:Maintain detailed documentation for AI algorithms, processes, and code. Education:Bachelors or masters degree in computer science, Data Science, AI, Machine Learning, or a related field. Experience:Proven experience (2+ years) in developing and deploying AI models. Programming Languages:Proficient in Python, with experience in AI/ML libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, or similar. Backend framework like Django/Flask. Machine Learning:Strong understanding of machine learning algorithms and frameworks. Data Handling:Experience with data manipulation and preprocessing using libraries like Pandas, NumPy, etc. Deep Learning:Familiarity with neural networks, CNNs, RNNs, and other deep learning architectures. Cloud Platforms:Experience with cloud services like AWS, GCP, or Azure for deploying AI models. Database Knowledge:Knowledge of SQL, NoSQL databases, and data storage solutions. Version Control:Proficiency in Git for version control and collaboration. Problem-Solving:Excellent problem-solving and analytical skills. Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shiftsStrong communication skills to explain complex AI concepts to non-technical stakeholders. Ability to work in a fast-paced, collaborative environment. Eagerness to learn and stay updated with new AI technologies and industry trends. Qualification Any Graduation

Job Title Data & AI Telecom Analytics Level 9 - S&C Global Network CMT Management Level:9 Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Data Science, Predictive Analytics, Model building, Model Production, Data Analysis, Data Visualization, Storytelling, Communication, Teamwork Good to have skills: Vertex AI, GEN AI, LLMs, RAGs Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data & AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. About Comms & Media practice within Strategy & Consulting: Comms & Media (C&M) is one of the Industry Practices within Accentures S&C Global Network team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the worlds leading wireline, wireless, cable and satellite communications and service providers Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & ResponsibilitiesA Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional & Technical Skills: Overall 5+ years of experience in Data Science & at least 3 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves About Our Company | Accenture Qualification Experience: Minimum 5+ year(s) of experience is required Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

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 Good to have skills : NAMinimum 12 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 that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and performance of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are effectively integrated and aligned with business objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud computing and AI service integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Design and Implement Artificial Intelligence and Data Science solutions on Cloud at enterprise scale. Contextual understanding of customer requirements with visions, strategies, and roadmaps for implementation. Collaboration with solution architects, business analysts and partner architects/stakeholders in Global Delivery model for AI Solution development. Play a key role in defining AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings. Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools. Audit AI tools and practices across data, models and software engineering with a focus on continuous improvement Understand the workflow and pipeline architectures of ML and Deep Learning workloads. Data science and advanced analytics, including knowledge of advanced analytics tools (such as SAS, R and Python) along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). Hands-on programming skill on at least one language C#.net or node.js or python. Expert on Cloud competencies on Artificial Intelligence and Machine Learning PaaS components. Contextual Conversation design (Azure BOT service/Amazon Lex/ Google Dialog flow) for personalized and humanized interaction with end user for complex business cases. Natural Language Processing model design, training and publishing for multiple languages. Custom Speech model Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocab. Computer vision OCR, Face Recognition, Custom model for Object detection and classifications. Document/Form Entity Extraction. Cognitive Search on heterogeneous unstructured data. Enterprise Channel Integration for AI. Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes. Azure/ AWS/ GCP/ Watson certifications on AI & Data Science like AI 102, DP 100. Exp In Years Subscribe for more info Join the Insightful Webinar on AI-Driven Property Underwriting.

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 Good to have skills : HanaMinimum 15 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 that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and pipelines. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will analyze, design, code, and test multiple components of application code across one or more clients. Perform maintenance, enhancements, and/or development work. # typical day of the job based on the provided DESCRIPTION. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with cross-functional teams to analyze, design, and develop software solutions.- Write clean, maintainable, and efficient code following best practices.- Participate in code reviews to ensure code quality and adherence to standards.- Troubleshoot and debug software applications to resolve issues.- Stay updated on emerging technologies and trends in software development. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD).- Strong understanding of SAP SD modules and functionalities.- Experience in customizing and configuring SAP SD.- Knowledge of integration with other SAP modules like MM, FI, and CO.- Experience in SAP SD implementation projects. Additional Information:- The candidate should have a minimum of 3 years of experience in SAP Sales and Distribution (SD).- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Manager Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 13 to 18 years Language - Ability: English(Domestic) - Advanced About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Python (Programming Language)Python Software DevelopmentPySparkMicrosoft SQL ServerMicrosoft SQL Server Integration Services (SSIS)Ability to work well in a teamWritten and verbal communicationNumerical abilityResults orientation1 CL7 Data Engineers Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved you will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Skill required: NA - Business Transformation Designation: Business Transformation Assoc Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do In this role, you will be expected to develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Also, translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth.Develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. What are we looking for Adaptable and Flexible, Ability to perform under pressure, problem solving skills, Ability to establish strong client relationships, Ability to handle disputesRobotic Process Automation AWS or any other cloud-based IAAS knowledge on basic VBS programming or data structures, or data visualization tools like Power BI, knowledge on Python preferred knowledge on basic understanding of AI. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation