1228 Aiml Jobs - Page 32

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Strong knowledge in Python ML, AI ML, LLM(Large Lang Model),Gen AI Preferred Skills: Technology-Open System-Shell scripting-Bash Scripting Technology-Machine Learning-Python Technology-Machine Learning-Generative AI Technology-Machine Learning-AI/ML Solution Architecture and Design-traditional ai ml

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Agile trained to manage team effort and track through JIRA High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline. Additional Responsibilities: Master’s degree in Computer Science Engineering, with Relevant experience in the field of MLOps / Cloud Domain experience in Capital Markets, Banking, Risk and Compliance etc. Exposure to US/ overseas markets is preferred Azure Certified – DP100, AZ/AI900 Domain / Technical / Tools KnowledgeObject oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs Azure ML best practices in environment management, run time configurations (Azure ML & Databricks clusters), alerts. Experience designing and implementing ML Systems & pipelines, MLOps practices Exposure to event driven orchestration, Online Model deployment Contribute towards establishing best practices in MLOps Systems development Proficiency with data analysis tools (e.g., SQL, R & Python) High level understanding of database concepts/reporting & Data Science concepts Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team Experience in managing client relationship and developing business cases for opportunities Azure AZ-900 Certification with Azure Architecture understanding is a plus Technical and Professional : Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to – Python Programming - Expert and Experienced - 4 -5 years DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline failures Engage with Business / Stakeholders with status update on progress of development and issue fix Automation, Technology and Process Improvement for the deployed projects Setup Standards related to Coding, Pipelines and Documentation Adhere to KPI / SLA for Pipeline Run, Execution Research on new topics, services and enhancements in Cloud Technologies Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision

Educational Bachelor of Engineering Service Line Equinox Responsibilities A day in the life of an Infosys Equinox employee As part of the Infosys Equinox delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!Infosys Equinox is a human-centric digital commerce platform that helps brands provide an omnichannel and memorable shopping experience to their customers. With a future-ready architecture and integrated commerce ecosystem, Infosys Equinox provides an end-to-end commerce platform covering all facets of an enterprise’s e-commerce needs. Additional Responsibilities: Communication and Good Problem-solving skills. Good understanding of the functional capabilities of the e-commerce platform. Exposure to a variety of front-end, middleware, and back-end technologies Capable of contributing code to any area in the project’s technical stack. Understanding coding practices, code quality, and code coverage Technical and Professional : Frameworks - Proficiency in React, JQuery. E-Commerce Web application development Preferred Skills: Technology-Reactive Programming-react JS

Educational Bachelor of Engineering Service Line Digital Experience Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to get to the heart of customer issues, diagnose problem areas, design innovative solutions and facilitate deployment resulting in client delight. You will develop a proposal by owning parts of the proposal document and by giving inputs in solution design based on areas of expertise. You will plan the activities of configuration, configure the product as per the design, conduct conference room pilots and will assist in resolving any queries related to requirements and solution design You will conduct solution/product demonstrations, POC/Proof of Technology workshops and prepare effort estimates which suit the customer budgetary requirements and are in line with organization’s financial guidelines Actively lead small projects and contribute to unit-level and organizational initiatives with an objective of providing high quality value adding solutions to customers. If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Understanding of the financial processes for various types of projects and the various pricing models available Ability to assess the current processes, identify improvement areas and suggest the technology solutions One or two industry domain knowledge Client Interfacing skills Project and Team management Technical and Professional : Primary skills:Technology-Digital Commerce-Hybris Ecommerce Preferred Skills: Technology-Digital Commerce-SAP Commerce Cloud (Hybris)

Broad expertise in Fincrime Monitoring, AML, KYC, Sanctions Screening, Payment Screening, Fraud etc Proven risk & regulatory experience in financial services gained through management consulting, banking or other relevant industry practitioner or regulatory roles End to end project implementation and cross functional stakeholder management experience including agile project delivery Seasoned business analyst with experience in requirements analysis, requirements management and documentation, exposure to tools like JIRA, Confluence etc hands on with SQL queries Bachelor degree from a reputable Institute. Master degree preferably in a quantitative field Business, Data Science, Statistics, Computer Science, etc. Comfortable with ideation, solution design and development of thought leadership materials and documents to support practice development efforts Exposure to leading vendor products like Actimize, Fircosoft etc is a plus Experience in Data Science, Analytics, AI ML. Gen AI, Data Management, Data Architectures, Data Governance, platforms and applications is a plus Exposure to Consultative sales business development, pre-sales, RFP and proposal development and client management experience is a plus

Write in Python to deliver a wide variety of Machine Learning & Data Science solutions Implement models and algorithms on Databricks and H2O Building tools to accelerate feature experimentation and exploration with lineage, data privacy protection and easier model performance debugging. Collaborate with Product Owners to apply Workdays agile processes and be responsible for the initiation, delivery, and communication of projects for the stakeholder organizations Building ML-as-a-service, with the purpose of taking experiments to production quickly. Share learnings and project findings with the wider Workday Machine Learning Community Willing to work across multiple time zones. What You will Bring Proficient experience in Python coding, SQL, Spark and experience developing models and other data science work with Python 3 - 4+ years of experience implementing models or machine learning algorithms in production Experience on any of these cloud platforms (AWS, Azure, GCP)

Educational Bachelor of Engineering Service Line Enterprise Package Application Services Responsibilities As a Technical Architect, lead the engagement efforts at different stages from problem definition to diagnosis to technical design, development & deployment in large S/4 HANA transformation programs. Create detailed technical design and architecture, and process artifacts, implement the solution and the deployment plan. Connect with senior client business and IT stakeholders, demonstrating thought leadership in New offerings of SAP technology like S/4 HANA, BTP and guiding them on end to end SAP architecture including SaaS and On premise components Contribute to Unit and Organizational initiatives and COEs. Lead the design and implementation of SAP BTP solutions, integrating AI and automation capabilities. Architect and implement SAP solutions that seamlessly integrate with SAP BTP services and components. Provide technical leadership and guidance to the team on BTP architecture and implementation. Design, develop, and implement complex SAP BTP solutions, leveraging services like Cloud Foundry, SAP Integration Suite, and AI/ML capabilities. Additional Responsibilities: Ability to lead large programs and diverse teams across the geographies. Innovative mindset & stay up-to-date on the latest advancements in BTP, AI, and automation technologies. Ability to lead and present proposals and solutions. Strong Client Facing experience, great communication and presentations skills. Strong analytical and decision-making skills Experience in working in Global delivery model (GDM). Ability to lead quality initiatives. Technical and Professional : Minimum 12+ years of SAP extensive experience including SAP ABAP HANA, Fiori or RAP or CAPM, Odata & BTP, Automation & AI/ML. All technical aspects like SAP RAP or CAPM, SAP ABAP OOPS, ODATA, CDS Views, BRF+, S/4 HANA ABAP 7.5 or ABAP on Cloud Coding standards, must have experience in WRICEFS. Good knowledge and experience in one or more functional modules like SD, MM, FICO, EAM, PS, ISU etc. In depth knowledge and experience in Fiori, BTP and integration with 3rd parties Must have done at least one S/4 HANA greenfield or brownfield implementation. Experience with SPAU & SPDD in SAP upgrade and Migration programs. Should possess experience in SAP BTP Administration & BTP Account setup. Experience working on SAP AI Core, AI launchpad, SAP GenAI Hub, SAP Build Portfolio including SAP Build Process Automation, Build Apps & Build Workzone. Experience with API design and management. Preferred Skills: Technology-SAP Technical-SAP Business Technology Platform (SAP BTP)

CREQ224603

AIML Lead/ ArchitectJDDesign, develop, and deploy machine learning models and algorithms using Python. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of Gen AI/ LLMs Preferrable. Certification in AI/ML or related technologies.

Greetings from Euclid Innovations!!! We have Python Developer with one of our client in Hyderabad. Position : Python Developer Experience : 8+ Years Location : Hyderabad/Bangalore Work Mode: Hybrid Interview Mode: Client Round F2F-In Hyderabad Notice Period: Immediate to 20 Days Max Role Overview: We are looking for a skilled Python Developer with strong Artificial Intelligence (AI) expertise to join our growing technology team. The ideal candidate will be responsible for developing AI-powered solutions using Python and collaborating with data scientists and product teams to bring intelligent features to our applications. Key Responsibilities: Develop and maintain AI-enabled applications using Python. Design and implement machine learning and deep learning models for tasks like classification, prediction, NLP, or computer vision. Collaborate with data scientists to prepare data pipelines and automate model training and evaluation. Develop APIs or microservices to expose AI models and integrate them into front-end systems. Perform data preprocessing, feature engineering, and model validation. Continuously optimize model performance and monitor outputs in production environments. Stay up to date with emerging AI tools, libraries, and trends. Required Skills: Strong knowledge of Python and experience with libraries such as NumPy , Pandas , Scikit-learn , and TensorFlow or PyTorch . Solid understanding of machine learning algorithms , data structures, and OOP principles. Experience in building and deploying ML models in production. Familiarity with RESTful API development using Flask or FastAPI. Experience working with structured and unstructured data . Version control using Git and basic knowledge of DevOps tools. Preferred Qualifications: Bachelors/Master’s degree in Computer Science, Engineering, AI, or related field. Exposure to NLP, computer vision , or time series forecasting. Familiarity with cloud platforms like AWS, GCP, or Azure. Basic knowledge of Docker , Kubernetes , or MLflow is a plus. Nice to Have: Hands-on experience with Generative AI or LLMs . Contributions to AI research or open-source AI projects. Experience with AI model monitoring and performance tuning. if interested share your profile to aruna.c@euclidinnovations.com

Website: Leading Global Technology Research & Advisory Firm | ISG (isg-one.com) Wanted: dynamic and creative individuals ready to connect with a like-minded team. Youll enjoy all the autonomy you need to help our clients make their digital infrastructure faster and more effective. Free reign for free spirits doesn’t mean you’ve got to go it alone. Over 1400 teammates from around the globe are eager to help you out when things get down to wire. Their expertise will put you on the winning path and keep you there. So, get ready to kickstart your career with a team that’s connected – connected by freedom. Role Overview ISG Research is one of the fastest-growing segments within ISG. To enable future growth and scale, we’re modernizing our research operations using AI and intelligent automation.We’re looking for an experienced AI Developer who is passionate about transforming real-world business processes using emerging technology. This is a high-impact role where you’ll work closely with professional researchers, cross-functional business leaders, and global technology stakeholders to shape the future of our research operations. You’ll thrive here if you: Are a creative problem-solver who enjoys figuring things out independently Communicate clearly with both technical and non-technical collaborators Bring a positive, can-do attitude and a drive to make meaningful change Are excited to work across AI, Automation, and Microsoft platforms to build intelligent, scalable systems This role is based in Bangalore and will collaborate with colleagues across the US, Europe, and India . Key Responsibilities Design, develop, and implement AI-driven solutions to streamline and enhance research processes Leverage AI tools (ChatGPT Enterprise, and Microsoft CoPilot Enterprise) and Automation tools (e.g., Azure AI Services, Power Automate, Power Apps, Copilot Studio) to deliver intelligent workflows Build and integrate agentic tools and LLM-powered assistants to support business users Analyze current-state workflows and identify opportunities for automation or augmentation Integrate internal and third-party APIs to extend system capabilities Work with stakeholders to define requirements and translate them into working solutions Document technical designs, processes, and best practices Continuously learn and recommend new tools, approaches, and AI services Technical Skills RequirementsProgramming & Scripting Strong in Python (required) Familiarity with PowerShell , C# , or .NET is a plus (for MS ecosystem alignment) AI/ML Experience Experience working with Azure AI Services (e.g., Azure OpenAI, Azure Machine Learning, Cognitive Services) Familiarity with agent frameworks like LangChain , Semantic Kernel , or Microsoft Copilot Studio Solid understanding of Large Language Models (LLMs) and prompt engineering Ability to build and maintain custom GPT agents or copilots Automation & Integration Experience with Microsoft Power Platform , especially: Power Automate Power Apps Dataverse Integration experience using Microsoft Graph API , REST APIs , or Logic Apps Bonus: Experience with Microsoft Synapse , Azure Data Factory , or RPA tools (UiPath, Power Automate Desktop) Data & Cloud Good understanding of data structures , ETL , and API-based integration Hands-on experience with Azure , including deployment and monitoring of AI services Experience Level 5–10 years of experience in software development, with recent experience focused on AI/ML, automation, or Microsoft technologies Demonstrated ability to independently research and deliver working solutions in ambiguous problem spaces Prior experience modernizing legacy business or knowledge-based workflows is a plus Soft Skills and Traits Strong problem-solving skills and a growth mindset Excellent communication skills, both written and verbal Ability to collaborate across time zones with teams in the US and Europe Comfortable working with domain experts (e.g., researchers, consultants) Organized, curious, and eager to learn Education & Certifications Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field Preferred Certifications: Microsoft Certified: Azure AI Engineer Associate Microsoft Power Platform Developer Associate (or equivalent experience) Work Setup Location : Bangalore, India Work Arrangement : Hybrid – required to work from the office 2–3 days per week Collaborates with teams in India , Europe , and the United States Why Join ISG? Be part of a high-growth, high-impact transformation initiative Use cutting-edge tools across AI, automation, and Microsoft platforms Shape how a successful research business evolves for the next decade Collaborate with a global team of smart, experienced professionals Help define how real AI adoption happens inside the enterprise At ISG, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our clients, and our communities. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. ISG is proud to be an equal opportunity workplace and we are committed to creating an inclusive environment for all employees. The more diverse and inclusive we are, the better our work will be.The duties and responsibilities described in this job description may not be a comprehensive list. Additional tasks may be assigned to the employee from time to time and/or the scope of the job may change as necessitated by business demands.

Job Title: AI Software Developer Location: Pune (Hybrid) Budget: Up to 20 LPA Experience Required: 5+ years (Relevant AI Development Experience) Work Mode: Hybrid (On-site & Remote) Job Summary: We are looking for an AI Developer with hands-on experience working with various AI tools, Proof of Concepts (POCs), and AI-driven projects. The ideal candidate should be proficient in designing, developing, and deploying AI solutions while collaborating with cross-functional teams. Strong problem-solving skills, a passion for AI innovation, and excellent communication abilities are essential. Key Responsibilities: AI Development & Implementation: Develop and implement AI models and algorithms for real-world applications. Work on Proof of Concepts (POCs) and AI-based prototypes, translating ideas into deployable solutions. Optimize and fine-tune AI models for scalability, performance, and efficiency. Integrate AI technologies into existing business processes and software applications. AI Tools & Technology Stack: Hands-on experience with AI/ML tools, frameworks, and libraries such as TensorFlow, PyTorch, OpenAI, LangChain, and Hugging Face. Work with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), and Computer Vision. Utilize cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment and scaling. Project Execution & Collaboration: Collaborate with data scientists, software engineers, and business teams to define AI driven solutions. Work closely with stakeholders to understand business problems and develop AI-based recommendations. Participate in code reviews, debugging, and troubleshooting to ensure AI applications are robust. Communication & Documentation: Communicate AI concepts, technical findings, and project progress to technical and non-technical stakeholders. Document AI models, processes, and best practices for knowledge sharing. Candidate Requirements: Minimum of 4 years of relevant experience in AI/ML development. Strong experience in building software application using Frontend and Backend tools with AI-driven applications, POCs, and automation solutions. Hands-on expertise with AI tools, frameworks, and cloud platforms. Proficiency in programming languages such as Python, R, React, Node or Java for AI/ML model implementation. Experience in LLMs, NLP, Deep Learning, and Generative AI is preferred. Strong problem-solving and analytical skills to drive AI initiatives. Excellent communication skills to convey technical concepts to diverse audiences. Ability to work in a hybrid model from Pune (on-site and remote). Why Join Us? Opportunity to work on cutting-edge AI technologies and projects. Collaborative environment with AI experts and business leaders. A chance to drive AI innovation in a dynamic and fast-paced setting. Hybrid work model based in Pune.

Apply your engineering expertise using the latest Data Engineering and Data Science technologies as Business Intelligence Development Analyst at the JLL Technologies Global Centre of Expertise in Bangalore, India. The JLL Technologies Product Engineering team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Experience with one or more public clouds such as Azure, AWS and GCP (Azure preferred). Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Bachelor's degree in Computer Science or related discipline or Electronics & Communication Engineering. Advanced degree preferred. 6 months+ of experience Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong experience in Data tools and technologies particularly MS Azure Databricks, SQL. Strong experience in Python, PySpark. Strong experience in building and maintaining data pipelines. Strong knowledge and working experience in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Good knowledge of GitHub, Agile methodologies and tools. Nice to have: Experience in Data Science, AI/ML - good understanding and demonstrated application of the concepts, various models and algorithms. Nice to have: Experience in Tableau, Power BI or other reporting tools.

Details: Job Code Position Title Machine Learning Engineer Location Noida Department Technology Services Experience 5+ yrs Qualification Bachelor's degree in Computer Science, Information Technology, or a related field Responsibilities : 1+ years of experience in statistical programming languages like Python, database query language SQL, machine learning Good applied statistical skills and advanced statistical techniques and concepts Working knowledge on ML frameworks such as TensorFlow, Pytorch Keras, Spacy, scikit-learn. Proven experience in configuring and building GenAI use cases on top of the OpenAI platform. Familiarity with GenAI technologies, frameworks, and libraries. Experience with Azure OpenAi / Open AI platform. Experience with natural language processing (NLP) and computer vision (CV) technologies. Experience with data preprocessing, feature engineering, and model selection techniques. Strong proficiency in artificial intelligence, machine learning, and data analysis. Developing high-quality code to build and deploy machine learning models. Ability to translate business requirements into conceptual and detailed system architecture and technology solutions Expertise in ideating, developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, content intelligence Experience working in atleast one cloud environment( AWS/Azure/GCP) and model deployment, orchestration, containerization(Kubernetes) Familiarity with intelligent automation tools, workflow automation, and low code no-code platforms is desirable Knowledge of the application of AI technologies for automation such as natural language processing, virtual agents, computer vision, and neural networks. Requirements: Highly proactive, talented, enthusiastic, focused, eye for detail, professional. Keen to learn and to challenge for smarter ways of doing things; a team player proud of their work who wants to share it. Experience of Agile software delivery Business Process mapping and engineering Ability to work on your own initiative to an agreed action plan Strong communication skills - as this role requires a high level of communication, interpersonal and presentation skills Strong problem solving, time management and organisational skills Energetic, enthusiastic with strong attention to detail

Online / WALK-IN for Assistant Professor/Associate Professor (EEE/ISE/CSE/AIML/DS or Data Science/IT/MCom/Math/Chemistry/Physics) Asst/Asso Prof(eligibility: Mtech/ME and above) Lab Instructor(eligibility: Btech) Interview Date: 1st Jul- 15th Jul 2025 Contact/ Share Resume: Email: lalatendu.mohapatra@amceducation.in Mob: 8431768099 Role & responsibilities: 1. Teaching: Deliver lectures and lead classroom discussions. Develop and update course syllabi and materials. Evaluate and assess student performance through assignments, exams, and projects. Provide academic advising and mentorship to students 2. Research: Conduct independent and collaborative research. Publish research findings in peer-reviewed journals and present at academic conferences. Secure research funding and grants. 3. Service: Participate in departmental, college, and university committees. Contribute to curriculum development and program improvement. Engage in community service and outreach activities. 4. Professional Development: Stay updated with advancements in the field. Participate in workshops, seminars, and conferences to enhance teaching and research skills. 5. Other Responsibilities: Maintain office hours for student consultations. Collaborate with colleagues on interdisciplinary projects. Uphold academic integrity and institutional values. Preferred candidate profile: A Ph.D. or M.tech or equivalent terminal degree in the relevant field. Proven teaching experience at the undergraduate or graduate level. Strong record of scholarly research or potential for research excellence. Excellent communication, interpersonal, and organizational skills. Experience with curriculum development and instructional innovation. Ability to mentor students and foster their academic and professional growth. Collaborative and collegial approach to teamwork.

Job Title: AI Engineer Consultant Key Responsibilities: We are seeking a highly skilled and experienced AI Engineer Consultant to join our Business Development (BD) team and provide Subject Matter Expertise (SME) in Artificial Intelligence. The ideal candidate will have at least 7 years of experience in AI development and deployment, along with the ability to bridge technical expertise and business requirements. This role requires an individual who can help shape business solutions by collaborating with cross-functional teams, understanding market needs, and translating them into scalable, technical AI solutions. Consulting Expertise: Provide AI/ML subject matter expertise to the BD team, helping to define and refine business requirements and solutions that align with client needs. Technical Leadership: Lead the development and implementation of AI models, algorithms, and frameworks, ensuring they meet business objectives and technical feasibility. Collaborative Solution Design: Work closely with both technical and non-technical stakeholders to translate business goals into actionable AI solutions. Help refine technical specifications based on client and internal feedback. Client Interaction: Act as a technical advisor during client discussions, helping explain complex AI concepts in a clear, accessible manner. Business Requirements Gathering: Collaborate with the BD team to gather and prioritize business requirements, turning them into scalable AI solutions that can be effectively marketed and deployed. Proposal Support: Provide support in crafting proposals, RFP responses, and project documentation that reflect a deep understanding of AI technologies and their business applications. Qualifications: Experience: At least 7 years of hands-on experience in AI, machine learning, and data science, with a strong portfolio of successful projects in these domains. Technical Skills: Expertise in AI/ML algorithms, programming languages (Python, R, Java, etc.), data analysis tools, and frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Business Acumen: Strong ability to translate complex technical information into clear business requirements and solutions. Experience in client-facing roles is a plus. Problem-Solving: Ability to quickly analyze problems and design practical, cost-effective AI solutions. Communication Skills: Excellent communication skills, both written and verbal. Experience explaining complex AI concepts to non-technical stakeholders and decision-makers. Consulting Experience: Previous experience working in a consulting or advisory role, especially in helping businesses adopt AI-driven solutions. Desirable Skills: Experience with AI applications in industries such as healthcare, finance, or retail. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and deployment of AI solutions in cloud environments. Advanced degree (MS, PhD) in AI, Machine Learning, Data Science, or related fields is a plus. This is an exciting opportunity for a results-driven professional. If you have a passion, we encourage you to apply. Apply Now: Drop your resume on 8308907577 or kmaran@sevenmentor.com . References are highly appreciated!

Consultant Role in Machine Learning (Adobe Products & License Management) Location : Noida, 25A Experience : 4+ years Company : KPMG/PWC or similar Role Overview: As a consultant with expertise in machine learning, you will work closely with customers, particularly in industries that rely heavily on Adobe products and software licensing. The ideal candidate will be responsible for ensuring smooth communication between the client and the company, while also leveraging AI/ML technologies to support their needs. Your role will involve: Customer Interaction & Communication: Serve as the primary point of contact for clients, especially around Adobe products (such as Adobe Creative Cloud, Adobe Experience Manager, etc.). Act as a liaison between the client and the internal teams to ensure clear and effective communication on licensing, support, and product usage. Use excellent communication skills to understand the clients requirements, address queries, and ensure customer satisfaction. Engage in Q&A sessions with clients to clarify any technical or functional ambiguities, ensuring they are well-informed about product capabilities and licensing management. Machine Learning Expertise: Apply machine learning techniques to help clients derive insights from their data (e.g., customer usage patterns, content creation trends). Work on implementing AI models for enhancing Adobe product capabilities, such as automated content recommendations, predictive analytics, or product usage optimization. Translate complex AI concepts and solutions into easy-to-understand terms for clients, ensuring the clients team can understand and adopt solutions. License Management: Manage and optimize software licenses for Adobe products within client organizations, ensuring compliance and cost-effectiveness. Help clients understand how to best allocate and manage Adobe licenses to suit their needs, balancing usage with budget constraints. Analyze and recommend strategies for improving license management workflows using both AI tools and industry best practices. Customer Satisfaction: Be a key player in ensuring the clients overall satisfaction by managing expectations, offering solutions to pain points, and ensuring timely resolution of issues. Use your expertise in AI and machine learning to suggest smart solutions that streamline client processes and improve their Adobe product experiences. Continuously assess client needs and offer proactive suggestions to enhance their use of Adobe products. Skills and Qualifications: Education : Bachelors or Masters degree in Computer Science, AI, Data Science, or related field. Experience : 4+ years of experience in consulting, with a focus on machine learning, AI, or Adobe products. Technical Knowledge : Strong knowledge of Adobe software products (e.g., Adobe Creative Cloud, Adobe Document Cloud). Familiarity with licensing models and management for Adobe products. Practical experience applying machine learning algorithms and AI solutions to real-world business problems. Familiarity with data analysis and automation tools that can improve product use and licensing efficiency. Communication Skills : Exceptional verbal and written communication skills, with an ability to explain complex technical concepts to non-technical stakeholders. Problem-Solving : Strong analytical and problem-solving skills, with the ability to think critically about business needs and customer challenges. Client-Centric : Proven track record in a customer-facing role, with a focus on customer satisfaction and relationship-building. This role would likely be ideal for someone with a strong understanding of both machine learning and customer relations. The key to success would be your ability to translate AI/ML concepts into actionable business insights while ensuring customers feel heard and supported. Would you like more details about any specific area of this role? You said: give this in a job description manner with proper required skill set ChatGPT said: Certainly! Here's the job description tailored to the role youve described: Job Title: Consultant Machine Learning, Adobe Products & License Management Location: Noida, 25A Experience: 4+ Years Job Overview: We are seeking a highly skilled and customer-focused Consultant with expertise in Machine Learning, Adobe Products, and License Management. In this role, you will act as the key point of contact for clients, leveraging your AI/ML knowledge and strong communication skills to provide optimal solutions and ensure customer satisfaction. You will work closely with clients to manage their Adobe products and licenses, while using advanced AI technologies to enhance their experience. Key Responsibilities: Customer Interaction & Communication: Serve as the primary liaison between clients and internal teams for all matters related to Adobe products and licensing. Lead customer calls, meetings, and Q&A sessions to address client queries and ensure clear understanding of Adobe products and license management. Provide expert guidance on Adobe product features, best practices, and licensing options to optimize the client's business needs. Ensure clients requirements are fully understood and translated into actionable solutions. Machine Learning Expertise: Apply machine learning and AI techniques to help clients extract actionable insights from their data and optimize their use of Adobe products. Develop and implement AI models that can enhance Adobe products, such as predictive analytics, automated content recommendations, and personalized solutions. Translate complex AI concepts into clear and simple terms for clients, ensuring effective understanding and buy-in. License Management: Assist clients with managing their Adobe software licenses, ensuring compliance, cost optimization, and efficient resource allocation. Provide recommendations to improve licensing workflows and reduce inefficiencies, leveraging AI tools where applicable. Help clients understand and manage Adobes licensing models to align with their organizational needs. Customer Satisfaction: Ensure the highest level of customer satisfaction by providing timely, effective solutions and consistently exceeding client expectations. Proactively address and resolve client pain points, ensuring that their needs are met while aligning with business objectives. Actively listen to client feedback and adjust strategies to ensure continuous improvement in customer service. Required Skills & Qualifications: Education : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience : Minimum of 4 years of experience in a consulting role, focusing on machine learning, AI, or Adobe products. Proven track record of working with clients to manage software licenses, especially for Adobe products (Creative Cloud, Document Cloud, etc.). Strong experience applying machine learning algorithms to real-world business problems. Technical Skills : Strong understanding of Adobe products (Creative Cloud, Document Cloud, Adobe Experience Manager, etc.). Knowledge of Adobe product licensing models and management best practices. Expertise in machine learning algorithms, AI technologies, and data analytics. Familiarity with automation tools, data pipelines, and analytical platforms that can optimize license management and product usage. Communication Skills : Excellent verbal and written communication skills, with the ability to simplify and explain technical concepts to non-technical stakeholders. Ability to lead discussions and present technical solutions in a client-friendly manner. Problem-Solving & Analytical Skills : Strong analytical thinking with the ability to assess complex situations and provide innovative solutions. Ability to identify patterns and insights from data to improve client workflows and product usage. Customer-Centric Approach : Proven ability to build and maintain strong client relationships, ensuring customer satisfaction and successful project outcomes. Skilled at managing client expectations and delivering results that align with client goals. Preferred Skills (Optional): Knowledge of cloud-based systems and data infrastructure. Experience with enterprise-level product integration. Familiarity with project management tools and methodologies. Why Join Us? Innovative Environment : Work on cutting-edge technologies in machine learning and AI. Career Growth : Opportunity to grow within a leading consulting firm and gain expertise across diverse industries. Client Impact : Play a key role in shaping customer experiences and optimizing their use of Adobe products.

We are seeking a highly skilled AI Engineer with a strong foundation in backend development and cloud technologies, particularly within the Microsoft ecosystem. The ideal candidate will have experience in AI/ML domains such as Natural Language Processing (NLP), Computer Vision , Video Processing, Text Extraction, Dubbing, and Translation, and be proficient in building scalable, production-ready systems using modern cloud platforms. ________________________________________ Responsibilities: • Design and develop advanced backend components, data systems, pipelines, and microservices for AI-driven applications. • Engineer and implement production-ready, cloud-native infrastructures (or on-premise), from databases to serverless architectures. • Integrate and deploy AI models and services, including NLP, computer vision, and video processing solutions. • Utilize Azure AI Services , Cognitive Services, and other cloud-native AI tools to build intelligent applications. • Collaborate with cross-functional teams to deliver scalable and maintainable AI solutions. • Follow best practices in software engineering, including CI/CD, testing, and documentation. ________________________________________ Requirements: • Bachelors or Master’s degree in Computer Science, Engineering, or a related field. • Proven experience as a senior software or data engineer, with a strong backend focus. • Advanced proficiency in Python, demonstrated through real-world projects. • Practical experience with backend technologies and frameworks. • Strong knowledge of CI/CD frameworks and DevOps practices. • Expertise in Microsoft Azure, including Azure AI Services and Cognitive Services. • Familiarity with AWS, AWS AI Services, and Google Cloud Platform (GCP) is a plus. • Experience with Docker and Kubernetes for containerization and orchestration. • AI/ML experience, especially in NLP, Computer Vision, Video Processing, Text Extraction, Dubbing, and Translation, is highly desirable. • Data engineering experience is a strong advantage.

Greetings!!! Currently we have an Opening for GenAI development role with one of our projects, location based out of Bangalore / Hyderabad. Kindly find below the details for your Perusal. Job Location : Bangalore / Chennai (Hybrid) CTC Range : 15 Lacs to 25 Lacs / Annum. Job Description: Generative AI & Machine Learning: Develop, implement, and fine-tune generative AI models and machine learning algorithms for real-world applications. Collaborate with data scientists and other team members to translate research into production-ready code. Design, build, test, and maintain RESTful APIs and backend services using Python. Hands-on experience in Azure Cloud. About Sonata: Sonata is a global software company, one of the fastest growing in India. It specializes in Platform Engineering, Sonatas proprietary Platformation methodology, providing a framework that assists companies with their digital transformation journeys and helps them build their businesses on platforms that are Open, Connected, Intelligent, and Scalable. Sonata's platform engineering expertise is supported by its capabilities in Cloud and Data, IoT, AI, and Machine Learning, Robotic Process Automation, and Cybersecurity. With its centres in India, the US, Europe, and Australia, Sonata brings Thought leadership, Customer-centricity, and Execution Excellence towards catalysing the business transformation process for its customers around the world. You can read more here: https://www.sonata-software.com/platformation Interested Candidates kindly revert with your updated resume to gsathish@sonata-software.com Regards Sathish 9840669681 Talent Acquisition - Sonata Software Services.

About the Role: Grade Level (for internal use): 13 The Role: Foreseer AI Director The Team The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 15+ Years. 10+ years hands on experience in AI/ML, Data Science or Technology Strategy 5+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Genrative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Kubernetes, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf -----------------------------------------------------------

Role & responsibilities • Perform systems analysis and design. • Design and develop moderate to complex applications. • Develops and ensures creation of application documents. • Defines and produces integration builds. • Monitors emerging technology trends. Primary Skills • Extensive experience with core Java concepts and Java EE. • Extensive experience with Spring and Spring Boot. • Experience with CI/CD code automation and DevOps • Experience with OpenShift • Experience with GCP • Experience with Machine Learning & Artificial Intelligence • Good understanding of software architecture and design principles. • Ability to design scalable, maintainable, and efficient Java & .Net applications. • Understanding of data structures, programming logic, and design • Understanding of application design patterns • Excellent written & verbal communication skills • Excellent attention to detail Secondary Skills • Experience using ArgoCD • Expert with Structured Query Language (SQL) • Experience using Angular • Experience using OAuth/OIDC Qualifications • 5+ years of experience • Bachelors Degree or International equivalent

Job Overview: The AI Solution Architect and CoE Lead will play a pivotal role in leading the design, development, and implementation of artificial intelligence solutions within the organization. This position will also be responsible for driving the strategy for AI excellence and best practices by establishing and overseeing the AI Centre of Excellence (CoE). The CoE will focus on nurturing AI talent, fostering knowledge sharing, and continuously evolving AI practices across the organization. Key Responsibilities: 1. AI Solution Architecture: Design and Develop AI Solutions: Lead the end-to-end process of designing, developing, and deploying AI solutions tailored to business needs. Technical Leadership: Provide technical leadership to cross-functional teams working on AI-related projects, ensuring high standards in solution design, integration, and deployment. Consulting and Advisory: Work closely with stakeholders to identify business requirements and translate them into AI-powered solutions, including machine learning models, data pipelines, and AI-driven processes. Platform Selection and Integration: Evaluate and select appropriate AI tools, platforms, and technologies to meet business goals. Oversee integration with existing systems, ensuring scalability and efficiency. Optimization and Innovation: Continuously monitor, optimize, and evolve AI solutions, keeping the organization at the forefront of AI advancements. 2. Centre of Excellence (CoE) Management: CoE Strategy Development: Develop and implement a strategy for the AI Centre of Excellence, ensuring alignment with business objectives and AI best practices. Knowledge Sharing and Governance: Establish frameworks for knowledge sharing, training, and governance, ensuring that AI practices are consistent and scalable across the organization. Innovation Culture: Foster a culture of innovation and experimentation, encouraging cross-functional collaboration and new AI research and application. Talent Development: Lead efforts to upskill internal teams by organizing training sessions, workshops, and seminars focused on the latest AI technologies and methodologies. Standardization and Best Practices: Define AI-related standards, processes, and best practices across the organization. Ensure all teams adhere to these guidelines to maintain quality and consistency. 3. Stakeholder Engagement: Cross-Functional Collaboration: Collaborate with business leaders, data scientists, IT teams, and product managers to deliver effective AI solutions. Client-facing Engagement: Engage with clients to understand their needs, demonstrate AI capabilities, and provide thought leadership on how AI can address their challenges. Executive Reporting: Regularly report to senior leadership on the progress of AI initiatives, highlighting key milestones, risks, and opportunities. 4. Research and Development: Emerging Technologies: Stay updated on the latest developments in AI technologies, including deep learning, reinforcement learning, natural language processing (NLP), and computer vision, and evaluate their potential impact on business processes. Proof of Concept (PoC): Lead the development of PoCs and pilot projects to test AI ideas and validate their feasibility before broader implementation. 5. AI Governance and Compliance: Ethical AI: Ensure the responsible and ethical use of AI, taking into consideration issues related to fairness, transparency, privacy, and security. Compliance: Maintain awareness of AI-related regulations and ensure the organization's solutions adhere to legal, ethical, and industry standards. Qualifications : Education: Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI, or a related field. A Ph.D. in AI or related fields is a plus. Experience: 11+ years of experience in AI, machine learning, or data science, with a proven track record of delivering AI solutions. 7+ years of experience in a leadership or architecture role, ideally with some experience in leading a Centre of Excellence or a similar initiative. Hands-on experience with AI frameworks such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS, Azure, or Google Cloud. Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance AI solutions. Leadership and Communication: Excellent leadership skills with the ability to influence and collaborate with cross-functional teams. Strong presentation and communication skills for engaging stakeholders at all levels. Project Management: Experience managing large, complex projects with diverse teams and tight deadlines. Governance and Best Practices: Deep understanding of AI governance frameworks, industry standards, and ethical guidelines. Certifications (Optional): Certified AI Professional (e.g., Microsoft Certified: Azure AI Engineer, AWS Certified Machine Learning). Certified Solutions Architect (e.g., AWS Solutions Architect, Google Professional Cloud Architect). Preferred Traits: Visionary Thinker: Ability to foresee AI trends and leverage them strategically for business growth. Problem Solver: Strong analytical skills and an innovative mindset to solve complex business problems using AI. Mentor: Passion for mentoring and developing the next generation of AI talent.

As a Technical Specialist, you will lead and contribute to the development of medium-to-high complexity features, ensuring well-structured design specifications and process improvements. You will support peers, drive technical discussions, and resolve challenges within your area of expertise. Strong hands-on experience in React, Core Java, JDBC, Spring, Hibernate, and Kafka is required, along with a solid understanding of data structures. Proficiency in Oracle databases, Unix/Linux environments, and Agile methodologies is essential, while familiarity with PostgreSQL, Apache Pinot, AI/ML, analytics, and network management (L2 layer domain) is preferred. You will own small to medium features, enhancing solutions and ensuring high-quality software development. You Have: Bachelor's degree with 3 to 5 years of experience. Expertise in React, Core Java, and JDBC. Experience with Spring and/or Hibernate frameworks is required. Strong understanding and practical application of data structures are necessary. Working knowledge of Kafka is essential. It would be nice if you also had: Familiarity with Oracle databases and PostgreSQL databases is preferred. Proficiency in Unix/Linux environments is preferred. Experience in AI/ML and analytics with Agile methodologies. L2 layer domain knowledge is advantageous. Lead and perform development activities for medium- to high-complexity features. Create design specifications for basic, small-scope, or less complex features. Support peers in completing tasks within their own area(s) of expertise. Lead technical discussions with peers to resolve identified issues within their area(s) of expertise. Improve existing processes and solutions. Own small- to medium-sized features.

As a Principal Technical Specialist, you will lead teams in technical discussions, architecture strategy, and system design for high-performance applications. You will collaborate with architects and developers to define workflows, interfaces, and domain models, leveraging SQL and NoSQL databases. Your role requires a hands-on approach, strong communication skills, and the ability to translate complex technical concepts into actionable insights. You have: Bachelors degree in Engineering with 12 to 15 years of relevant work experience. Experience with architectural patterns and programming languages such as Java, Python/Shell, and Golang. Familiarity with frameworks like Spring, Guice, or Micronaut, and libraries such as Pandas, Keras, Pytorch, Scipy, and Numpy. Experience with Kafka, Spark, and databases (SQLPostgres, Oracle; NoSQLElastic, Prometheus, Mongo, Cassandra, Redis, and Pinot). It would be nice if you also had: Experience in OLTP/real-time system management in enterprise software. Experience in both large-scale and small-scale development, with the ability to model domain-specific systems. Expertise in data engineering, statistical analytics, and AI/ML techniques (AI experience is a plus). Knowledge of NMS/EMS for the telecom domain, including Network Operational Lifecycle and Network Planning. Lead and Guide the team in technical discussions. Expertise in Java, Python/Shell, and frameworks like Spring, Kafka, and AI/ML libraries will drive innovation in telecom network management and real-time enterprise software. Analyze and decompose requirements. Work on long lead items and define architecture strategy for the application. Work with architects and developers in other applications and define interfaces and workflows. With a strong foundation in statistical analytics, data engineering and AI/ML. Communicate and present to internal and external audiences.

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications or advanced RAG techniques involving LLM models. And understanding of UI. Job Description Ai architecture is good to have. UI front end skill Ai framework API experience. AIML use cases Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.