Job Title:AI/RPA Solution Architect About The Role :: We are seeking a highly skilled and experienced AI/RPA Solution Architect to join our Automation team. The ideal candidate will possess a robust background in AI technologies and extensive experience in RPA solutions. This role demands a deep understanding of AI/ML, NLP, and RPA tools, with a focus on delivering innovative solutions to our clients. Key Responsibilities: Solution Design: Architect and implement AI and RPA solutions tailored to meet specific business needs, ensuring scalability and efficiency. Collaboration: Work closely with cross-functional teams, including data scientists, software developers, and business analysts, to seamlessly integrate AI/ML models and RPA workflows. Model Development: Develop and maintain scalable AI/ML models using Python and relevant libraries such as TensorFlow, PyTorch, scikit-learn, NLTK, and spaCy. RPA Leadership: Lead the architecture and development of RPA solutions using Automation Anywhere (AA 360) and Power Platform, ensuring robust and efficient automation processes. Best Practices: Ensure adherence to best practices in AI/ML and RPA development, including code quality, testing, and documentation. Mentorship: Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement. Innovation: Stay abreast of the latest advancements in AI and RPA technologies, and proactively incorporate new tools and methodologies to enhance solution offerings. Requirements: Experience: 7-10 years of experience in implementing AI and RPA technologies Technical Skills: Must Have 1. Well versed in Microsoft Stack i.e. Azure ML/Cognitive Services, AI Builder etc. 2. Proficiency in Python and its libraries for AI/ML and NLP tasks (e.g., TensorFlow, PyTorch, scikit-learn, NLTK, spaCy) RPA Tools: Extensive experience with RPA tools, specifically Automation Anywhere (AA 360) and Power Automate Problem-Solving: Strong problem-solving skills and the ability to thrive in a fast-paced environment Communication: Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders Education: A masters degree and/or degree in Computer Science, Engineering, or a related field is preferred Preferred Qualifications: Cloud Platforms: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML models. Additional Languages: Knowledge of other programming languages such as HTML, CSS, JavaScript, and C#. Certifications: Certification in AI/ML or RPA technologies. Tools and Technologies: Familiarity with additional tools and technologies such as Docker, Kubernetes, Jenkins, Git, and CI/CD pipelines for streamlined development and deployment processes.

Introduction We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA- as the world around us changes, so do we. Wipro empowers companies to transform their business and deliver superior experiences for their customers, partners and employees. With an entrepreneurial mindset and a sense of fun, we thoughtfully evaluate clients problems; craft innovative solutions that leverage cutting-edge technologies; and work side-by-side with clients to drive business outcomes. Enterprise Futuring is the largest global business line across Wipro, they offer our clients forward-looking solutions for large-scale enterprise transformation. They offer intelligent insights, enterprise data, application platforms, digital operations, and cybersecurity risk services. At Enterprise Futuring, the AI practice has deep industry knowledge, incredible passion, and strong customer relationships. Wipro stands firm as a leading partner in AI service innovation, creating impactful realizations of business potential. Through the development of robust, personalized solutions enhanced by the innovative power of AI technology, Wipro is committed to building transformative journeys for clients. Roles & Responsibilities Day-to-day technical responsibilities Design solutions and implement generative AI models and algorithms, utilizing state-of-the-art algorithms such as GPT, VAE, and GANs. Work on integrating cloud with GenAI algorithms like ChatGPT, Bedrock, Bard, PaLM etc. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Research the latest advancements in generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into our products and services. Optimize existing generative AI models for improved performance, scalability, and efficiency. Develop and maintain AI pipelines, including data pre-processing, feature extraction, model training, and evaluation. Drive the team to build GenAI products and solutions, working in an agile methodology Stakeholder Interaction & Management Work with internal teams and get relevant data/inputs for preparing documents such as RFP responses, capability demonstrations, client presentations and collaterals, participating in the customer calls to sell solutions etc. Collaborate with relevant stakeholders/teams to get feedback and make revisions to ensure that the proposal stays relevant to the needs throughout various proposal stages. Ensures communication among all parties throughout the proposal process Identifies bottlenecks in the process escalating accordingly to higher level, as necessary, to ensure timetable and deliverables remain on track Reach out to the below mentioned internal teams during proposal creation. Effective Project Management Effectively and efficiently plan, organize, lead and control the delivery of the final solution/proposal/document Prepare a work plan that lists the tasks required to create the proposal, such as design, writing, editing, review and production Uses strong interpersonal, organizational, and time management skills to juggle multiple tasks with differing deadlines to consistently produce the document Collaborate and influence internal key stakeholders to get relevant data within the specified timeline to ensure relevant data in plugged into the solution Ensure promptness and compliance of proposals by creating and managing proposal calendars, compliance checklists, compliance matrices, trackers, etc. Oversees collection and completion of all proposal components (technical, cost, management, annexes) working in collaboration with internal teams, as well as partners. Follow up with relevant stakeholders/teams to get feedback and revisions and ensure that the proposal development stays on schedule. Update the sales team and other stakeholders on a regular basis on the progress of the proposal Tech skills you will have You have solid experience over the last few years developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure. Prompt engineering for GenAI algorithms Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. Deployment of GenAI models Scrum/ Agile Why work at Wipro We pride ourselves on creating an inclusive workplace that provides equal opportunities to all persons regardless of their age, cultural background, sexual orientation, gender identity and expression, disability, veteran status, or anything else. If you only meet some of the requirements for this role, that's okay! We value a diverse range of backgrounds & ideas and believe this is fundamental for our future success. So, if you have the curiosity to learn and the willingness to teach what you know, we'd love to hear from you. Wipro has been globally recognized by several organizations for our commitment to sustainability, inclusion, and diversity. Social good is in our DNA, we believe in sustainability for the health of our planet, its inhabitants, and our business. For over 75 years we have operated as a purpose-driven company with an unwavering commitment to our customers and our communities. Energized by what we call the Spirit of Wipro, we commit ourselves to being a catalyst for change- working to build a more just, equitable and sustainable society. Around 66% of Wipros economic ownership is pledged towards philanthropic purposes. All of our employees are expected to embody Wipros 5-Habits for Success which are:Being Respectful, Being Responsive, Always Communicating, Demonstrate Stewardship, Building Trust.

Role: Lead ML Developer (NLP) Job Summary: This job requires candidate to lead the design and development work with Large Language model and application of Large Language models for different use cases. As an expert in using Generative AI, particularly LLM models, and proficient in Python programming, he/she will be responsible for developing and deploying a system that can convert natural language queries to handle the use cases like building SQL query statements for searching tables in DB or searching the documents for Q&A. This role requires a deep understanding of natural language processing (NLP) techniques, database management systems, SQL Query optimization, and passion for building intelligent systems. Responsibilities: Develop and implement a robust system for converting natural language queries with help of prompt engineering into useful format, which can be further programmatically used for search a set of SQL tables or set of documents. Development and application of word embedding techniques (Woprd2vec, Transformer model based encoders, LLM based encoder, BERT based encoders etc) Fine Tuning of Large Language Models with custom data sets. Utilize Generative AI techniques, leveraging Large Language models, to accurately interpret and convert natural language queries into SQL statements. Use of LLMs for the NLP state of art techniques like Text Classification, NER, Keyword Extraction, Text-to-SQL conversion. Check the feasibility of use cases based on Large Language Models, specifically in area chatbot for sales and finance problems. Develop mechanism to summarize SQL tables into user-level summary text, providing concise and meaningful insights from the data retrieved. Design and build scalable architecture that can handle a large volume of queries efficiently, ensuring high performance and minimal latency. Collaborate with cross-functional teams, including data scientists, software engineers, and database administrators, to understand requirements and integrate the solution into existing systems. Conduct thorough research and stay up to date with the latest advancements in NLP, machine learning, and Generative AI to continuously improve the systems accuracy and efficiency. Optimize and fine-tune SQL queries to ensure efficient data retrieval, taking into account query execution plans, indexes, and query performance optimization techniques. Develop testing frameworks and conduct rigorous testing to validate the systems accuracy, reliability, and scalability. Document the system architecture, design decisions, and codebase to facilitate future maintenance and enhancements. Skills MUST Strong experience in architecting and development of ML, NLP based projects is a must. Strong track record of ML led solution development from scratch. Strong proficiency in Python Programming (very strong Python credentials only apply) and experience with relevant libraries and frameworks for NLP such as NLTK, spaCy, Hugging Face transformers. In-depth knowledge and experience in using Generative AI techniques for NLP tasks, preferable with Large Language models (e.g., GPT-3, GPT-4), GCP PALM models (code bison, text bison) or Hugging Face models. Good exposure to word embedding techniques. (BERT, Word2Vec, LLM based encoders etc.) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and deep learning architectures. Hands on experience with Langchain framework. Solid understanding of SQL and experience working with popular relational database management systems. Proficiency in writing both simple standard SQL queries and complex joining queries to fetch data from a database. Experience with query optimization techniques and understanding of indexes, execution plans, and performance tuning. Familiarity with cloud-based data warehousing platforms. Strong problem-solving skills and ability to translate business requirements into technical solutions. Excellent communication skills to collaborate effectively with multidisciplinary teams. Ability to work independently, manage priorities, and deliver high-quality results within project timelines. Strong attention to detail and a commitment to producing clean, well-documented code.

9+ years experience in designing, developing and deploying production-grade machine learning solutions (supervised, unsupervised, reinforcement learning), deep learning framework (e.g. TensorFlow, PyTorch, Keras, etc) and NLP (NLTK, Spark NLP, spaCy, HuggingFace, Flair, NLTK, etc) for real-world business problems Experience with Open Source LLM and Langchain Framework Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems Development and ML experience in cloud platforms such as Microsoft Azure Combination of deep technical skills and business sense, to interface with all levels and disciplines within an organization. Excellent written and verbal communication skills to explain complex research to both technical and non-technical audiences Self-motivated individual that thrives in a dynamic environment

Responsibilities Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today – planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Are you interested in working in one of the most impactful areas of technology in the world today? Do you want to build generative AI skills while working on a project to transform the most mission-critical IT workloads for organizations that power the global economy? Come join the team that is at the intersection of cutting-edge AI and mainframe software development, a key strategic pillar for IBM. As a Backend Developer, you will be responsible for the technical approach and implementation of new and existing applications within your workstream. You are a software engineer who is comfortable leading agile development teams in a hands-on way, providing guidance regarding best practices and working in cooperation with your team’s leadership, Scrum Master, designer, and other engineers. You make informed decisions with input from informed parties at all levels of the organization to quickly deliver valuable working software. You are comfortable providing mentoring guidance to less-experienced team members and collaborating with other senior members of your team. You have a passion for high-quality, reliable, and maintainable code. You have a product mindset, and are agile and retrospective, and not afraid to identify what we are doing wrong so we can fix it, and what we are doing right so we can improve upon it. You will work with multidisciplinary teams to define requirements and develop solutions. You will design, code, and test solutions for modernization of the IBM Z platform, that use programming languages including Python, Java, Golang and leverage technologies and platforms like Ansible, Kubernetes, Docker. Comfortable with multi-tasking and working as part of a global team, as well as providing technical leadership and taking ownership. Adaptive to ambiguity and willing to change in a fast-paced environment Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10 – 12 years of software development experience Expertise in translating product requirements into technical requirements, preparing HLD/LLD, working closely with team members to translate the requirements into product work items. 5+ years of experience in leading product development teams on AI applications written in Python, Ansible; knowing Golang is a plus. Hands-on experience with AI/ML libraries such as TensorFlow, PyTorch, Scikit-Learn, and NLP libraries such as SpaCy, NLTK, or Hugging Face Transformers Solid understanding of ML algorithms such as supervised learning, unsupervised learning, reinforcement learning and deep learning Proficient in NLP techniques for understanding and processingcode, documentation, and user input. Skills in data collection, cleaning, processing, and analysis to build and train AI models Exposure working with the following:Kubernetes, Docker, etc. Exposure to DevOps concepts, CI/CD tools and setting up CI/CD pipelines. Preferred technical and professional experience Familiarity or exposure to IBM Z Architecture, IBM z/OS Systems Programming, Application development on IBM z/OS. Solid understanding of ML algorithms such as supervised learning, unsupervised learning, reinforcement learning and deep learning Hands-on experience working with Java, Golang, Ansible, Kubernetes, Docker Proficient in source control management tools (Tekton, Jenkins) and with Agile Life Cycle

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 : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education

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 : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities:-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.-Optimizing existing generative AI models for improved performance, scalability, and efficiency.-Ensure data quality and accuracy-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers-Experience working with cloud based platforms (example:AWS, Azure or related)-Strong problem-solving and analytical skills-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI-Prior statistical modelling experience-Demonstrable experience with deep learning algorithms and neural networks-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.-Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills:-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.-Must have strong knowledge of data structures, algorithms, and software engineering principles.-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.-Need to have knowledge of software development methodologies, such as Agile or Scrum.-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information:-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Qualifications 15 years full time education