Experience in CI/CD pipelines, scripting languages, and a deep understanding of version control systems (e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience in 4+ years of experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines.

AI Engineer & Lead This role is a blend of technical innovation, strategic consulting, and hands-on problem-solving, making each day varied, challenging, and impactful. Exp: 3-8 Years Location: Chennai & Hyderabad Organization: Intellect Design Arena - Product Company ------------------------------------------------------------------------------------------------------------- About Intellect Design Arena Limited Intellect Design Arena Ltd is an enterprise-grade financial technology leader, providing composable and intelligent solutions for futuristic global financial institutions across 57 countries. Intellects revolutionary First Principles Thinking-based Enterprise Connected Intelligence Platform, eMACH.ai, is the most comprehensive, composable, and intelligent open finance platform in the world. With an impressive array of 329 microservices, 535 events, and over 1757 APIs, eMACH.ai enables financial institutions to design and deploy future-ready technology solutions that provide a significant global competitive edge. With three decades of domain expertise, Intellect offers a full spectrum of banking and insurance technology products through four lines of business: Global Consumer Banking (iGCB), Global Transaction Banking (iGTB), IntellectAI and Digital Technology for Commerce (iDTC). Intellect is a pioneer in applying Design Thinking and our 8012 FinTech Design Center, the world's first Design Center dedicated to Design Thinking Principles, underscores our commitment to continuous and impactful innovation, addressing the ever-growing need for digital transformation. We proudly serve over 325+ customers worldwide, supported by a diverse workforce of solution architects and domain and technology experts in major global financial hubs. Summary: As an AI Engineer, you will work directly with clients to own the implementation of AI solutions using our AI platform. You will build and deploy end-to-end AI workflows, taking projects from concept to production, and solving complex, real-world challenges at scale. Your insights and learnings from client engagements will directly contribute to the evolution of our platform, ensuring we stay at the forefront of AI innovation. You will play a key role in expanding our presence into new markets and problem spaces unlocked by Generative AI. Key Responsibilities: Deliver Production-Ready AI Solutions: Design and deploy AI Agents, data processing pipelines, that are robust, scalable, and suitable for real-world applications. Solve Real Business Problems: Focus on practical AI solutions that address tangible business challenges, moving beyond theoretical approaches. Collaborate Across Teams: Work effectively with both technical and non-technical stakeholders to ensure clear communication and smooth project execution. Adapt in Dynamic Environments: Operate comfortably in fast-paced, evolving settings, adjusting quickly to shifting objectives and direct user feedback. Drive Innovation and Growth: Embrace an entrepreneurial mindset, continuously learning, innovating, and striving to make a high impact in a rapidly changing field. Client Interaction and Strategy Development: Engage with clients to understand their challenges, develop AI strategies, and translate their needs into actionable technical solutions. Deploying Solutions to Production: Move AI workflows from prototype to production, ensuring they integrate smoothly into client environments and solve real-world problems. Iterating and Improving: Continuously enhance deployed solutions based on feedback and evolving requirements, focusing on debugging, performance improvement, and workflow adaptation. Contributing to Platform Evolution: Share field insights to influence the development of new features and capabilities within the AI platform, aligning it with market needs. Key Traits: Technical Proficiency: Expertise in building and deploying AI models, data pipelines, and advanced analytics in production environments. Problem-Solver: Ability to design practical, impactful AI solutions that address real business challenges, focusing on tangible outcomes Collaborative: Effective communication skills to work with diverse teams, including technical and non-technical stakeholders, and explain complex AI concepts in understandable terms. Adaptable: Comfortable working in dynamic, fast-paced environments with evolving objectives, quickly iterating on solutions based on feedback. Innovative and Entrepreneurial: Passion for continuous learning, innovation, and applying an entrepreneurial approach to drive impact and growth. Client-Focused: Strong ability to engage directly with clients, understand their needs, and align AI strategies with business objectives. Detail-Oriented: Focus on refining, testing, and fine-tuning AI solutions for optimal performance in real-world settings. Continuous Learner: Commitment to staying updated on the latest AI technologies, tools, and methodologies, exploring new approaches to keep skills and solutions cutting-edge. Skills and Qualifications: Proven experience developing solutions using Generative AI models, with a strong understanding of the AI landscape and related technologies. Solid foundation in Machine Learning principles, including evaluation, training, and problem decomposition. Strong background in engineering or a related technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Machine Learning. Proficiency in programming languages such as Python, Java, C++, JavaScript/TypeScript, or similar. Interested folks can reach out to bicky.nath@intellectdesign.com

Project Role : Scrum Master Project Role Description : Acts as an enabler for the effective functioning of a software development team using Agile methodologies. Coaches and mentors the Scrum Team(s), removing barriers to successful implementation and enabling a continued focus on the task at hand. Facilitates scrum and agile ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives. Identifies and reports progress via appropriate metrics. Must have skills : Adobe Workfront Work Management Software Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Scrum Master, you will act as an enabler for the effective functioning of a software development team using Agile methodologies. Your typical day will involve coaching and mentoring the Scrum Team, facilitating various Agile ceremonies, and ensuring that the team remains focused on their tasks. You will work closely with team members to identify and remove any barriers that may hinder their progress, while also tracking and reporting on the team's performance through appropriate metrics. Your role is crucial in fostering a collaborative environment that promotes continuous improvement and high-quality deliverables. You must have knowledge on AWS Basics, Python, Adobe WF/AEM Basics, Web Technologies Basics, ML/AI/LLM Basics. 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.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate communication between team members and stakeholders to ensure alignment on project goals.- Encourage a culture of continuous improvement by implementing feedback mechanisms and promoting best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Adobe Workfront Work Management Software.- Strong understanding of Agile methodologies and frameworks.- Experience in coaching and mentoring teams in a Scrum environment.- Ability to facilitate meetings and discussions effectively.- Proficient in using metrics to track team performance and progress. Additional Information:- The candidate should have minimum 7.5 years of experience in Adobe Workfront Work Management Software.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 2-4 yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Collaborate with the Customer Account Executive, Sales Specialist, and Solution Architect to uncover and address challenges or obstacles in both new and existing customer accounts. Design, plan, and implement AI systems for customers, with the ability to develop data pipelines, machine learning (ML) pipelines, and approaches for training and serving ML models, leveraging additional support and resources as needed. Lead technical deep dives, proofs of concept, internal sprints and the development of industry-specific AI solutions to enhance adoption and customer success. Identify key AI stakeholders within customer organizations, advocating for their needs within both business and technical teams. Collaborate closely with internal AI business units and engineering teams, offering valuable market feedback on products and solutions. Participate in customer advocacy, including speaking at conferences, writing blog posts, and other public-facing activities. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Solution Engineer with over 5 years of practical experience in the following areas: Use Case Development, including building AI applications such as deep learning, LLM/RAG, NLP, computer vision, and pattern recognition. Technical Expertise in AI Frameworks and Tools:Expertise with various machine learning frameworks (e.g., TensorFlow,PyTorch, Scikit-learn) and cloud AI servicesto design and deploy production-ready AI systems. Machine Learning Operations Design, including hands-on experience in AI systems architecture, with the ability to design and explain data and ML pipelines, as well as training and serving approaches. Experience with CI/CD andMLOpspractices, including automation via Infrastructure as Code (IaC) tools such as Ansible, in the context of ML and LLM operations. Proven ability to delivertechnicalpresentations and lead business value discussions. Customer-Centric Mindset:A passion for delivering exceptional customer experiences, ensuring that AI solutions meet the specific needs and goals of the customer organization.Strong executive presence and public speaking skills. Continuous Learning & Improvement:Stay up-to-date on emerging AI technologies, frameworks, and methodologies. Actively participate in internal knowledge sharing and contribute to the development of best practices and new tools.

A hands-on engineering position responsible for designing, automating, and maintaining robust build systems and deployment pipelines for AI/ML components, with direct development responsibilities in C++ and Python. The role supports both model training infrastructure and high-performance inference systems. Design and implement robustbuild automation systemsthat support large, distributed AI/C++/Python codebases. Develop tools and scripts that enable developers and researchers to rapidly iterate, test, and deploy across diverse environments. Integrate C++ components with Python-based AI workflows, ensuring compatibility, performance, and maintainability. Lead the creation ofportable, reproducible development environments, ensuring parity between development and production. Maintain and extend CI/CD pipelines for Linux and z/OS, implementing best practices in automated testing, artifact management, and release validation. Collaborate with cross-functional teams — including AI researchers, system architects, and mainframe engineers — to align infrastructure with strategic goals. Proactively monitor and improve build performance, automation coverage, and system reliability. Contribute to internal documentation, process improvements, and knowledge sharing to scale your impact across teams. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise With 5+ years of strong programming skills in C++ and Python, with a deep understanding of both compiled and interpreted language paradigms. Hands-on experience building and maintainingcomplex automation pipelines(CI/CD) using tools likeJenkins, or GitLab CI. In-depth experience withbuild tools and systemssuch asCMake, Make, Meson, or Ninja, including custom script development and cross-compilation. Experience working onmulti-platform development, specifically onLinux and IBM z/OSenvironments, including understanding of their respective toolchains and constraints. Experience integratingnative C++ code with Python, leveragingpybind11,Cython, or similar tools for high-performance interoperability. Proven ability to troubleshoot and resolvebuild-time, runtime, and integration issuesin large-scale, multi-component systems. Comfortable withshell scripting(Bash, Zsh, etc.) and system-level operations. Familiarity withcontainerization technologieslike Docker for development and deployment environments. Preferred technical and professional experience Working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, or ONNX, including understanding of how they integrate into production environments. Experience developing or maintaining software on IBM z/OS mainframe systems. Familiarity with z/OS build and packaging workflows, Understanding of system performance tuning, especially in high-throughput compute or I/O environments (e.g., large model training or inference). Knowledge of GPU computing and low-level profiling/debugging tools. Experience managing long-lifecycle enterprise systems and ensuring compatibility across releases and deployments. Background contributing to or maintaining open-source projects in the infrastructure, DevOps, or AI tooling space Proficiency in distributed systems, microservice architecture, and REST APIs. Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders. Demonstrated excellence in interpersonal skills, fostering collaboration across diverse teams. Proven track record of ensuring compliance with industry best practices and standards in AI engineering. Maintained high standards of code quality, performance, and security in AI projects.

Yokogawa Electric International Pte is looking for Service Engineer to join our dynamic team and embark on a rewarding career journey Technical Support: Respond to service inquiries, troubleshoot technical issues, and provide solutions Maintenance and Repair: Perform routine maintenance, inspections, and repairs on systems or equipment Installation and Setup: Install, configure, and set up new systems or machinery as required Testing and Diagnosis: Conduct tests, analysis, and diagnostic procedures to identify problems and recommend solutions Customer Interaction: Interact with customers, clients, or internal stakeholders to understand their needs and address concerns Documentation: Maintain accurate records of service activities, reports, and documentation Training and Guidance: Provide training and guidance to users or clients on the proper use and maintenance of equipment or systems Required Skills and Qualifications:Technical Knowledge: Proficiency in relevant technologies, systems, or machinery Problem-Solving Skills: Ability to diagnose and resolve technical issues efficiently Communication Skills: Strong verbal and written communication for interacting with clients and documenting procedures

Yokogawa Electric International Pte is looking for System Sales to join our dynamic team and embark on a rewarding career journey As a Sales Representative at our Personnel Network, you will play a critical role in connecting with potential clients, customers, or members of our network and promoting our products or services You will be responsible for developing and maintaining strong relationships, understanding the needs of clients, and achieving sales targets Responsibilities:Client Engagement: Identify and approach potential clients, customers, or members within our personnel network Product/Service Promotion: Educate clients on the benefits and features of our products or services, tailored to their needs Relationship Building: Cultivate and maintain strong relationships with existing and potential clients, demonstrating excellent customer service Sales Targets: Achieve or exceed sales targets and goals, including revenue and volume targets Needs Analysis: Understand the unique requirements and preferences of each client, tailoring solutions to meet their specific needs Sales Presentations: Prepare and deliver persuasive sales presentations and proposals Follow-up: Conduct post-sale follow-ups to ensure customer satisfaction and gather feedback Market Research: Stay informed about industry trends and competitors to adjust sales strategies accordingly Documentation: Maintain accurate and up-to-date records of client interactions, sales, and prospects in a CRM system Sales Reporting: Prepare regular sales reports and forecasts for management Networking: Actively participate in events, trade shows, or networking opportunities to expand your personal network and create leads

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred o Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Required Technical and Professional Expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges

We are seeking a seasoned Finance Transformation Leader specializing in Accounts Payable (AP) to spearhead process optimization, automation, and strategic efficiency initiatives. This role requires a blend of value enablement and execution, stakeholder engagement, and transformation leadership to drive transformative financial improvements while ensuring seamless business continuity. Key Responsibilities Strategic Finance Transformation Develop and execute a roadmap for AP process transformation , ensuring efficiency, compliance, and scalability. Analyze existing workflows and identify cost-saving opportunities through automation and process re-engineering. Execution focused to delivering client value by bringing focus to process, policy, technology proposals. Support new solution development via sole source, RFP and renewal activities. Champion Lean and Six Sigma methodologies to drive operational excellence in AP processes. Technology & Automation Leadership Oversee digital transformation initiatives , including AI-driven invoice processing, OCR integration, and ERP automation . Evaluate and implement AP automation tools , optimizing reconciliation, approvals, and payment cycles. Assess and bring to fore newer solutions that will help differentiate IBM in market place with regard to the value proposition Stay abreast of emerging financial technologies to ensure a future-ready AP function. Stakeholder & Vendor Management Cultivate strong relationships with senior finance leaders, procurement heads, and external partners to align AP transformation goals. Collaborate with global finance teams to ensure standardization and compliance with international payment regulations . Lead negotiations with vendors and financial institutions to drive cost-effective payment solutions . Operational Excellence & Compliance Establish and maintain KPIs for AP performance , tracking invoice processing times, payment accuracy, and vendor satisfaction. Create sub-offering to add incremental value to our clients and engagements Ensure adherence to financial governance policies and regulatory frameworks. Conduct periodic audits to assess fraud risks, AP controls, and financial integrity . Consulting & Change Management Drive AP process improvement initiatives , collaborating with consulting firms and internal finance teams. Develop a structured change management approach , ensuring minimal disruption during transformation efforts. Conduct training and upskilling sessions for finance teams on new AP technologies and methodologies . Leadership & Communication Lead a high-performing finance transformation team, mentoring junior professionals in AP strategy. Present AP transformation insights, recommendations, and financial impact reports to senior leadership and board members . Foster a culture of continuous innovation, cost efficiency, and accountability in finance operations. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Deep expertise in AP processes, procurement finance, and shared services environments . Consulting experience in finance transformation, automation, and process reengineering . Proven ability to engage and influence senior stakeholders in finance, operations, and procurement . Hands-on experience with ERP systems (SAP, Oracle, Workday) and AP automation tools (RPA, AI-driven AP solutions) . Strategic mindset with the ability to drive sustainable cost efficiencies . Exceptional communication skills —able to translate complex financial strategies into actionable insights. Preferred technical and professional experience MBA, CA, or CPA qualification will be an edge Certification in Lean Six Sigma, Financial Process Automation, or Agile Finance . Experience in global finance transformation and shared service center environments .

Integrate operations, strategies and influence policy making with C-suite level clients; solve for critical situations and enable sustainable sales growth, which accounts for 50% of ISA Technology business. Navigating IBM’s organisation, interlocking with Technology and Services leaders to ensure integrated client solutions - Achieving the transactional revenue The person will be responsible for managing a diverse portfolio in our business spanning from Hardware, Data & AI, Automation, Subscription & Annuity, TLS, Security to Services business, bringing all of them together in front of our clients and partners. In addition, the person will be responsible for driving sales and pipeline management and progression, as well as lead teams to plan and conduct complex negotiations reaching lasting agreements and commitments.. Engaging support of all relevant IBM roles and partners to ensure integrated solution is delivered to the client; incorporating Global System Integrators (GSI), Independent Software Vendor (ISV), and competitive landscape into account strategy/plans Responsible for executing with integrity and is accountable for satisfactory business controls. Leading the sales team through large, complex and highly competitive sales situations from opportunity identification through deal closure Creating an effective sales coaching environment for your teams within assigned territory to achieve client objective, while practicing growth leadership and mindset behaviours Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong sales execution experience and client engagement skills Deep Knowledge of IBM’s strategy and portfolio Ability to advise clients on the technical architecture needed to address their business requirements. Differentiate IBM in context of Client’s industry Industry, business, and finance acumen to identify and progress opportunities Lead and manage a sales team to achieve business goals Ability to tell and relate applicable IBM client zero stories to your client Preferred technical and professional experience NA

As a Software Engineer III at JPMorgan Chase within the Consumer and community banking technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

As a Software Engineer III at JPMorgan Chase within the Consumer and community banking technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

As a Software Engineer III at JPMorgan Chase within the Consumer Community Banking Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience in Java, AWS, Microservices, Springboot Hands-on experience in AWS EC2, AWS Lambda, AWS KMS, AWS S3, SQS, Event Bridge Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Hands-on experience in Cassandra, PostgreSQL Hands-on experience with Cloud Infrastructure Provisioning Tools like Terraform Cloud Formation etc. Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

When you mentor and advise multiple technical teams and move financial technologies forward, it s a big challenge with big impact. You were made for this. As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and community banking- Data Technology, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years of applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in Core Java, Spring boot, Micro services Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Architecture and Engineering, Core Platform Engineering, you will be an integral part of an agile team focused on developing, improving, and implementing innovative technology products that emphasize security, stability, and scalability. In this key technical role, you will be responsible for delivering essential technology solutions across various technical domains, supporting diverse business functions in achieving the firms strategic goals. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years of applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability of Java, Spring Boot, Micro services, AWS, Kafka applications Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e. g. , cloud, artificial intelligence, machine learning, mobile, etc. ) In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Preferred qualifications, capabilities, and skills Proficient in Kafka is a plus Knowledge of Performance Engineering and Chaos Engineering

The NVIDIA Clocks Team is looking for an excellent Senior CAD engineer with extensive experience in Hardware Design Methodology and Programming. The NVIDIA Clocks Team is committed to delivering high-quality clocking and reset logic to various units in SOCs. The complexity of the clocks and resets methodology has increased significantly to support the sophisticated features that power our product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. Modern clocking design solutions need to be innovative, ensuring quality in covering the complex specifications and balance the constraints on infrastructure, re-usability, testing speed and multi-platform support. What youll be doing: Own the Infrastructure for Clocking Design flows and processes in SOC products from end-to-end, including identifying inefficiencies, developing automation solutions, establishing robust design development processes and productization practices. Seek complex problems and develop a scalable solution that works across platforms. Work hands-on with industry-standard tools and pioneering AI driven design methodologies. This includes coding in Python, Perl, C++, and NVIDIA custom compilers and tools. Partner closely with our design team to understand our architecture and collaborate with quality assurance engineers to deliver high-quality design solutions. Coordinate with internal and external teams across multiple time zones. Mentor junior engineers and lead the deployment of design methodologies. What we need to see: BS or MS in EE/ECE/CSE, with 5+ years of relevant industry work experience. Strong understanding of Logic Design and Architecture. Expertise in automation tools like Make flows, build flows, CI/CD pipelines, and experience with Agentic AI frameworks. Experience in coding complex algorithms and developing innovative solutions for design tooling. Proficiency in Python and Perl, with an ability to decode and work with custom scripting languages. Strong collaboration skills and ability to work with multiple teams. Prior experience in implementing CAD solutions. Understanding of operating systems and hardware limitations for deploying design flows. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our outstanding engineering teams are growing fast. If you are creative, curious, and motivated with a real passion for technology, we want to hear from you! #LI-Hybrid

What if the work you did every day could impact the lives of people you know? Or all of humanity? Position Summary: Sr Automation Programmer position will be a part of the GIS Data and AI team that provides management and support of tools/services to users across all of Illumina. The roles responsibilities include the delivery and support of Intelligent Automation Solutions based in UIPath. Requirements of the role may include business process analysis, application configuration, application integrations, end user support, and solving complex technical problems. Responsibilities: Work as part of Agile scrum teams to design, implement, and test solutions in support of business needs across our Automation, AI and Custom Apps portfolio Deliver software architecture, designs, and implementations Participate in all aspects of our agile development process, from sprint planning to daily scrum meetings and sprint demos Create and execute unit tests to verify functionality Troubleshoot and resolve software defects Contribute to software design reviews and code reviews Manage and Support Internal Ticket Escalations General to Complex technology support including troubleshooting and resolving day-to-day issues, and root cause analysis of sustaining issues Independently debug and resolve complex application issues and problems Provide application best practice guidance to end users Manage Application Functionality Updates, Integrations, Configurations, Releases and Security Settings Work on sustaining issues, enhancements, and projects Develop, update, and implement policies and procedures to maintain best practices across the teams portfolio Partner with IT resources in the overall strategy, design, operation, and continual improvement of applications services All listed tasks and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodation for additional tasks and responsibilities. Required Educational Background: Bachelors / master s degree in computer science, engineering Requirements: Typically has 5-7 years of experience with strong technical and functional experience in hands on application support, administration, configurations, integration, enhancements, and project work. Experience using commercially available solutions UIPath and Microsoft Power Apps. Experience with AI / Gen AI applications (LLMs, Prompt Engineering) a plus Strong technical experience in hands on application administration and configuration of both on-premise and cloud delivered services Experience in a fast-paced, global, corporate environment including the ability to manage expectations and facilitate prioritization efforts Eagerness to learn new technology and processes Ability to analyze both technical and data problems then propose solutions Excellent oral and written communication skills API and scripting experience a plus Ability to interface well with cross-functional teammates Change control experience in an FDA regulated environment All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities. We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. . To learn more, visit: https: / / www.dol.gov / ofccp / regs / compliance / posters / pdf / eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Position Summary: Sr Automation Programmer position will be a part of the GIS Data and AI team that provides management and support of tools/services to users across all of Illumina. The roles responsibilities include the delivery and support of Intelligent Automation Solutions based in UIPath. Requirements of the role may include business process analysis, application configuration, application integrations, end user support, and solving complex technical problems. Responsibilities: Work as part of Agile scrum teams to design, implement, and test solutions in support of business needs across our Automation, AI and Custom Apps portfolio Deliver software architecture, designs, and implementations Participate in all aspects of our agile development process, from sprint planning to daily scrum meetings and sprint demos Create and execute unit tests to verify functionality Troubleshoot and resolve software defects Contribute to software design reviews and code reviews Manage and Support Internal Ticket Escalations General to Complex technology support including troubleshooting and resolving day-to-day issues, and root cause analysis of sustaining issues Independently debug and resolve complex application issues and problems Provide application best practice guidance to end users Manage Application Functionality Updates, Integrations, Configurations, Releases and Security Settings Work on sustaining issues, enhancements, and projects Develop, update, and implement policies and procedures to maintain best practices across the teams portfolio Partner with IT resources in the overall strategy, design, operation, and continual improvement of applications services All listed tasks and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodation for additional tasks and responsibilities. Required Educational Background: Bachelors / master s degree in computer science, engineering Requirements: Typically has 5-7 years of experience with strong technical and functional experience in hands on application support, administration, configurations, integration, enhancements, and project work. Experience using commercially available solutions UIPath and Microsoft Power Apps. Experience with AI / Gen AI applications (LLMs, Prompt Engineering) a plus Strong technical experience in hands on application administration and configuration of both on-premise and cloud delivered services Experience in a fast-paced, global, corporate environment including the ability to manage expectations and facilitate prioritization efforts Eagerness to learn new technology and processes Ability to analyze both technical and data problems then propose solutions Excellent oral and written communication skills API and scripting experience a plus Ability to interface well with cross-functional teammates Change control experience in an FDA regulated environment We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. . To learn more, visit: https: / / www.dol.gov / ofccp / regs / compliance / posters / pdf / eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.

About the job Key responsibilities: 1. Manage pre-sale and sale of software and digital services for smart buildings and smart cities 2. Sell Digi Pravesh (Aadhar-based face recognition visitor management system) to government and private sectors 3. Promote and sell digital transformation services for making buildings and cities smart Our Role : 1. We will teach and train candidates to get the skills required 2. We will impart knowledge to candidates Skill(s) required Data Science Sales Management Sales Strategy Earn certifications in these skills Learn Google Analytics Learn Machine Learning Learn Statistical Modeling Learn Data Analytics Learn Data Science Learn Tableau Learn Deep Learning Learn Artificial Intelligence Learn Computer Vision Learn Neural Networks Who can apply Only those candidates can apply who: 1. have minimum 1 years of experience 2. are from Mumbai only Other requirements Computer science graduation preferred. Salary Annual CTC: 3,50,000 /yearAnnual CTC breakup:1. Fixed pay: 2,50,000 /year2. Variable pay: 1,00,000 /year Perks Informal dress code 5 days a week Number of openings 3 To Apply click on below link https: / / secutech.keka.com / careers

Generative AI (GenAI) EngineerJob Summary:We are seeking a talented and highly motivated Generative AI (GenAI) Engineer As a GenAI Engineer, you will be at the forefront of developing and deploying innovative solutions leveraging cutting-edge generative models You will also be responsible for building, training, and fine-tuning GenAI models for various applications, from text generation, image synthesis, code generation, etc This role requires a strong foundation in machine learning, deep learning, and a passion for exploring the potential of generative AI Qualifications:Education: Masters or PhD degree Good to have any certification in Artificial Intelligence, Machine Learning, or a related field Experience: 8+ years of experience in developing and deploying machine learning models 2+ years of experience with generative models Experience with cloud platforms such as AWS, Azure, or GCP Skills: Technical Expertise: Strong understanding of generative AI models, such as GANs, VAEs, diffusion models, and large language models Proficiency in Python and other programming languages commonly used in machine learning Experience with model training and fine-tuning techniques Knowledge of data preprocessing and feature engineering methods Familiarity with model deployment and monitoring tools Soft Skills: Strong analytical and problem-solving skills Excellent communication, presentation, and interpersonal skills Ability to work independently and as part of a team Creativity and a passion for exploring the potential of generative AI

An AI Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Collaboration and Project ManagementCollaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders. Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases. Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise EducationBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Technical Skills: Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms.