7846 Artificial Intelligence Jobs - Page 28

Join our team where youll lead and inspire teams to excel in processing document transactions and remittances and where you ll utilize your expertise in operations management to optimize productivity, quality, and customer experience while fostering a collaborative and inclusive environment. As a Transactions Manager I within JPMorganChase, you will be at the forefront of managing dynamic teams that process daily document transactions and extract checks and remittances. Your role is pivotal in leveraging your extensive knowledge of transaction and operations management to ensure the seamless integration of cutting-edge technology services for capturing client information. You will excel in delegating tasks, managing conflicts, and enhancing the customer experience, all while fostering a culture of innovation and strategic thinking within your team. In this role, you will take charge of remittance processing operations, setting ambitious daily production goals and crafting action plans to boost productivity and quality. Your ability to build strong relationships with other operations departments will be key in researching and resolving inquiries. Additionally, you will lead or participate in projects that aim to enhance operations and elevate the customer experience, driving impactful change across the organization. Job responsibilities Lead teams in processing document transactions and extracting checks and remittances, while optimizing strategic priorities to enhance productivity, quality, and customer experience. Oversee remittance processing by setting production goals, delegating tasks, evaluating performance, and implementing action plans to ensure high productivity and quality. Manage shift operations, resolve production or quality issues, and escalate process delays to management and stakeholders as needed. Utilize strategic thinking and sound judgment in decision-making, fostering a collaborative and engaged team environment through effective leadership and communication. Analyze data to identify and resolve procedural issues, support junior team members, and build strong relationships with other departments to address inquiries. Drive innovation by leveraging skills in market products and artificial intelligence to optimize transaction processes and support new technology implementation. Participate in projects aimed at enhancing operations and customer experience, while coaching and mentoring team members to develop leadership and operational talent. Communicate effectively with the team, providing strategic communications and simplifying complex information, ensuring compliance with guidelines, policies, and procedures. Required qualifications, capabilities, and skills Minimum two years of operations leadership or management experience in remittance processing or equivalent expertise. Intermediate knowledge of remittance processing or equivalent operations experience with indirectly or directly leading front-line teams to deliver towards business priorities and objectives. Ability to understand, navigate, and manage end-to-end operational processes, including identifying, resolving, or escalating breaks or issues. Demonstrated proficiency in using automation technologies to optimize transaction processing and implement automation initiatives. Experience in applying data and technical acumen to interpret models and diagram as well as to make data-informed decisions or recommendations to optimize transaction management. Proven track record in enhancing customer experience, understanding how customers interact and perceive a brand or business throughout the entire customer journey. Work Schedule and Shift Differential must be input as applicable. This position may require you to work non-traditional hours and/or additional hours as business needs arise. Work schedule might be subject to change. Join our team where youll lead and inspire teams to excel in processing document transactions and remittances and where you ll utilize your expertise in operations management to optimize productivity, quality, and customer experience while fostering a collaborative and inclusive environment. As a Transactions Manager I within JPMorganChase, you will be at the forefront of managing dynamic teams that process daily document transactions and extract checks and remittances. Your role is pivotal in leveraging your extensive knowledge of transaction and operations management to ensure the seamless integration of cutting-edge technology services for capturing client information. You will excel in delegating tasks, managing conflicts, and enhancing the customer experience, all while fostering a culture of innovation and strategic thinking within your team. In this role, you will take charge of remittance processing operations, setting ambitious daily production goals and crafting action plans to boost productivity and quality. Your ability to build strong relationships with other operations departments will be key in researching and resolving inquiries. Additionally, you will lead or participate in projects that aim to enhance operations and elevate the customer experience, driving impactful change across the organization. Job responsibilities Lead teams in processing document transactions and extracting checks and remittances, while optimizing strategic priorities to enhance productivity, quality, and customer experience. Oversee remittance processing by setting production goals, delegating tasks, evaluating performance, and implementing action plans to ensure high productivity and quality. Manage shift operations, resolve production or quality issues, and escalate process delays to management and stakeholders as needed. Utilize strategic thinking and sound judgment in decision-making, fostering a collaborative and engaged team environment through effective leadership and communication. Analyze data to identify and resolve procedural issues, support junior team members, and build strong relationships with other departments to address inquiries. Drive innovation by leveraging skills in market products and artificial intelligence to optimize transaction processes and support new technology implementation. Participate in projects aimed at enhancing operations and customer experience, while coaching and mentoring team members to develop leadership and operational talent. Communicate effectively with the team, providing strategic communications and simplifying complex information, ensuring compliance with guidelines, policies, and procedures. Required qualifications, capabilities, and skills Minimum two years of operations leadership or management experience in remittance processing or equivalent expertise. Intermediate knowledge of remittance processing or equivalent operations experience with indirectly or directly leading front-line teams to deliver towards business priorities and objectives. Ability to understand, navigate, and manage end-to-end operational processes, including identifying, resolving, or escalating breaks or issues. Demonstrated proficiency in using automation technologies to optimize transaction processing and implement automation initiatives. Experience in applying data and technical acumen to interpret models and diagram as well as to make data-informed decisions or recommendations to optimize transaction management. Proven track record in enhancing customer experience, understanding how customers interact and perceive a brand or business throughout the entire customer journey. Work Schedule and Shift Differential must be input as applicable. This position may require you to work non-traditional hours and/or additional hours as business needs arise. Work schedule might be subject to change.

Join Chase, where you will have the opportunity to make real innovative impacts to our customers and be part of a creative and dynamic environment where every day brings new challenges and opportunities. As a Transactions Specialist III within JPMorganChase, you will play a crucial role in managing customer accounts and handling inquiries and requests. Your work will involve processing, clearing, servicing, researching, and settling transactions, ensuring the smooth operation of our financial services. You will be expected to apply your broad knowledge of transaction management protocols and processes and use your developing skills in areas such as artificial intelligence, automation, and data & tech literacy to enhance our services. Your ability to coach and manage conflicts will be key in maintaining a positive work environment and ensuring customer satisfaction. While your work will be guided by established procedures, your developing strategic thinking and innovation skills will be valuable in contributing to solutions for new issues. Job responsibilities Process, clear, service, research, and settle transactions in accordance with established procedures, using your developing knowledge of automation and artificial intelligence Handle customer inquiries and requests, such as balance inquiries and account maintenance, ensuring a positive customer experience at all touchpoints Contribute to the resolution of new issues by applying your developing strategic thinking and innovation skills, within the limits of standard policies and procedures Assist in the training of new employees, leveraging your developing coaching and mentoring skills to facilitate their growth and development Participate in projects aimed at enhancing the customer experience, using your developing market product knowledge and data & tech literacy skills to offer continuous insight and drive impact Required qualifications, capabilities, and skills Baseline knowledge or equivalent expertise in transaction management, with a focus on processing, clearing, servicing, researching, and settling transactions Demonstrated ability to handle customer inquiries and requests, with a focus on maintaining a positive customer experience at all touchpoints Experience with automation and artificial intelligence tools and techniques, with a focus on their application in transaction management Developing skills in coaching and conflict management, with the ability to assist in the training of new employees and contribute to a positive work environment Developing skills in strategic thinking and innovation, with the ability to contribute to solutions for new issues within the limits of standard policies and procedures High school diploma or GED required Preferred qualifications, skills, and capabilities Familiarity or developing knowledge of automation and process optimization tools or technologies. Join Chase, where you will have the opportunity to make real innovative impacts to our customers and be part of a creative and dynamic environment where every day brings new challenges and opportunities. As a Transactions Specialist III within JPMorganChase, you will play a crucial role in managing customer accounts and handling inquiries and requests. Your work will involve processing, clearing, servicing, researching, and settling transactions, ensuring the smooth operation of our financial services. You will be expected to apply your broad knowledge of transaction management protocols and processes and use your developing skills in areas such as artificial intelligence, automation, and data & tech literacy to enhance our services. Your ability to coach and manage conflicts will be key in maintaining a positive work environment and ensuring customer satisfaction. While your work will be guided by established procedures, your developing strategic thinking and innovation skills will be valuable in contributing to solutions for new issues. Job responsibilities Process, clear, service, research, and settle transactions in accordance with established procedures, using your developing knowledge of automation and artificial intelligence Handle customer inquiries and requests, such as balance inquiries and account maintenance, ensuring a positive customer experience at all touchpoints Contribute to the resolution of new issues by applying your developing strategic thinking and innovation skills, within the limits of standard policies and procedures Assist in the training of new employees, leveraging your developing coaching and mentoring skills to facilitate their growth and development Participate in projects aimed at enhancing the customer experience, using your developing market product knowledge and data & tech literacy skills to offer continuous insight and drive impact Required qualifications, capabilities, and skills Baseline knowledge or equivalent expertise in transaction management, with a focus on processing, clearing, servicing, researching, and settling transactions Demonstrated ability to handle customer inquiries and requests, with a focus on maintaining a positive customer experience at all touchpoints Experience with automation and artificial intelligence tools and techniques, with a focus on their application in transaction management Developing skills in coaching and conflict management, with the ability to assist in the training of new employees and contribute to a positive work environment Developing skills in strategic thinking and innovation, with the ability to contribute to solutions for new issues within the limits of standard policies and procedures High school diploma or GED required Preferred qualifications, skills, and capabilities Familiarity or developing knowledge of automation and process optimization tools or technologies.

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. 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, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience. Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) 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 We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible. As a Lead Software Engineer at JPMorgan Chase within Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm s business objectives. 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, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience. Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) 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

Educational Requirements MCA,Bachelor of Engineering,BCA Service Line Data & Analytics Unit Responsibilities Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Technical and Professional Requirements: Generative AI, AI/ML, Python, Databricks Preferred Skills: Technology-Machine Learning-Generative AI

Educational Requirements Bachelor of Engineering Service Line Application Development and Maintenance Responsibilities Design and develop Python-based applications with integrated AI capabilities. Work on AI-driven solutions such as chatbots, recommendation systems, intelligent agents, or knowledge-based systems. Collaborate with cross-functional teams to gather requirements and deliver AI-powered features. Integrate third-party AI APIs and services (e.g., OpenAI, Azure Cognitive Services). Optimize performance and scalability of AI components. Maintain high standards of code quality and documentation Additional Responsibilities: Experience6+ YearsLocationBangalore Technical and Professional Requirements: Strong proficiency in Python and its standard libraries. Experience with AI concepts such as expert systems, symbolic AI, NLP, or heuristic algorithms. Familiarity with AI tools and libraries like spaCy, NLTK, OpenAI API, or LangChain. Experience with REST APIs, microservices, and cloud platforms (AWS, Azure, GCP). Strong understanding of data structures, algorithms, and software design principles. Excellent communication and problem-solving skills. Experience with AI integration in enterprise applications. Exposure to knowledge representation, semantic web, or ontology modeling. Experience working in Airline Domain will be added advantage Certifications in AI or cloud technologies. Preferred Skills: Technology-Machine Learning-Python Technology-Machine Learning-Responsible AI

Educational Requirements Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology Service Line Cloud & Infrastructure Services Responsibilities As an Infra AI Automation Programmer you will work on design, development, and deployment of AI systems that generate content or data, often using techniques such as deep learning, neural networks, and generative models using Python backend coding. Meet with clients in and remotely to understand their business objectives, challenges, and identify potential use cases for Generative AI. Assess the client's existing technology infrastructure, data landscape, and AI maturity to determine the feasibility and best approaches for Gen AI adoption. Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions (e.g., content creation, customer service, product development, marketing).Gen AI Strategy and Solution Design Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases, implementation plans, and expected business outcomes. Design Gen AI solutions architecture, considering factors such as model selection (e.g., large language models (LLMs), diffusion models), data requirements, integration with existing systems, and scalability. Evaluate and recommend appropriate Gen AI platforms, tools, and APIs (e.g., OpenAI, Google AI, Azure AI, open-source libraries) relevant to the client's needs and the Indian market. Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications. Additional Responsibilities: Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Technical and Professional Requirements: At least 2+ years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow, Pytorch, Langchain and Prompt Engineering Experience with vector databases and retrieval-augmented generation (RAG). Familiarity with MLOps principles and tools for deploying and managing Gen AI models. Understanding of ethical considerations and responsible AI frameworks. Understanding of data structures, data modelling , SQL & NOSQL Object oriented and functional programming & GIT Knowledge of basic algorithms and object-oriented and functional design principles Deep Knowledge of Mathematics, Probability, Statistics, and Algorithms Good Communication skills Good analytical and problem-solving skills Preferred Skills: Technology-Machine Learning-TensorFlow Technology-Machine Learning-Python Technology-Machine Learning-Generative AI

Role & responsibilities Freshers with AI Explosure Qualification : Any Degree Location: Guindy - WF0 Regards Shyam J Senior HR Analyst 106-109, Anna Salai, Guindy, Chennai 600032 M: +91 9840833416 exelatech.com • About EXELA • Instagram • LinkedIn

Educational Requirements Bachelor of Engineering Service Line Information Systems Responsibilities Job Responsibilities:* Lead the development of Gen AI solutions, including design, implementation, and deployment of AI models and systems* Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions to drive growth and efficiency* Design and implement scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc.* Develop and maintain large-scale AI systems, ensuring high performance, reliability, and security* Lead and mentor a team of AI developers, providing guidance and expertise to ensure high-quality deliverables* Stay up-to-date with the latest advancements in Gen AI, Prompt Engineering, and related technologies, applying this knowledge to drive innovation and improvement* Develop and maintain technical documentation, including architecture diagrams, design documents, and technical guides* Participate in code reviews, ensuring high-quality code and adherence to coding standards and best practices Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA)* At least 5-8 years of experience in software development, with a minimum of 2 years of experience in Gen AI* Strong proficiency in LangChain, Python, Gen AI, Agentic AI, and Prompt Engineering* Excellent communication, teamwork, problem-solving, and leadership skillsTech SkillLangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, KafkaSoft SkillCommunication, Team Work, Problem Solving Technical and Professional Requirements: Preferred Qualifications:* Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI* Experience with cloud-based AI platforms, such as AWS or Azure* Knowledge of containerization technologies, such as Docker* Familiarity with agile development methodologies, such as Scrum or Kanban* Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch* Strong understanding of software design patterns, principles, and best practices* Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD)* Certification in AI, machine learning, or related fields, such as Certified Data Scientist or Certified AI Engineer Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL Technology-Machine Learning-GoLearn Technology-Machine Learning-Generative AI

Educational Requirements Bachelor of Engineering Service Line Information Systems Responsibilities Job Responsibilities:* Lead the development of Gen AI solutions, including design, implementation, and deployment of AI models and systems* Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions to drive growth and efficiency* Design and implement scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc.* Develop and maintain large-scale AI systems, ensuring high performance, reliability, and security* Lead and mentor a team of AI developers, providing guidance and expertise to ensure high-quality deliverables* Stay up-to-date with the latest advancements in Gen AI, Prompt Engineering, and related technologies, applying this knowledge to drive innovation and improvement* Develop and maintain technical documentation, including architecture diagrams, design documents, and technical guides* Participate in code reviews, ensuring high-quality code and adherence to coding standards and best practices Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or related field (B.E/B.Tech/M.E/M.Tech/MCA)* At least 5-8 years of experience in software development, with a minimum of 2 years of experience in Gen AI* Strong proficiency in LangChain, Python, Gen AI, Agentic AI, and Prompt Engineering* Excellent communication, teamwork, problem-solving, and leadership skills Technical and Professional Requirements: Preferred Qualifications:* Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI* Experience with cloud-based AI platforms, such as AWS or Azure* Knowledge of containerization technologies, such as Docker* Familiarity with agile development methodologies, such as Scrum or Kanban* Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch* Strong understanding of software design patterns, principles, and best practices* Experience with DevOps practices, including continuous integration and continuous deployment (CI/CD)* Certification in AI, machine learning, or related fields, such as Certified Data Scientist or Certified AI Engineer Preferred Skills: Technology-OpenSystem-Python - OpenSystem-Flask Technology-Artificial Intelligence-Artificial Intelligence - ALL Technology-Machine Learning-Python Technology-Programing language C-go lang Technology-Machine Learning-Generative AI-retrieval augmented generation (rag)

Educational Requirements Bachelor of Engineering Service Line Information Systems Responsibilities Job Responsibilities:* Design, develop, and deploy AI models and systems using Python, Gen AI, Agentic AI, and other relevant technologies* Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions* Work with large datasets to train and test AI models, and optimize their performance* Apply Prompt Engineering techniques to improve the overall performance of the AI systems* Troubleshoot and debug AI systems to ensure optimal performance and reliability* Provide technical guidance and expertise to ensure high-quality deliverables* Collaborate with the cross functional teams* Participate in code reviews and contribute to the improvement of the overall code quality Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or a related field (B.E/B.Tech/M.E/M.Tech/MCA)* At least 3-5 years of experience in software development, with at least 2 years of hands on experience in Gen AI development* Strong proficiency in Python programming language* Hands on experience with LangChain, Gen AI, Agentic AI, and Prompt Engineering* Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions* Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams KeywordsLangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Prompt Engineering, Machine Learning, SQL, Kafka Technical and Professional Requirements: Preferred Qualifications:* Certification in AI or a related field, such as Certified Data Scientist or Certified AI Engineer* Experience with other AI frameworks and technologies, such as TensorFlow, PyTorch, or Keras* Familiarity with containerization using Docker and Kubernetes* Experience with agile development methodologies and version control systems, such as Git* Strong understanding of software design patterns, principles, and best practices* Experience with DevOps practices, such as continuous integration and continuous deployment* Knowledge of cloud computing platforms, such as Azure / GCP / AWS Preferred Skills: Technology-Analytics - Solutions-SQL Server - Analytics Technology-Machine Learning-Python Technology-Programing language C-go lang Technology-Machine Learning-Generative AI-retrieval augmented generation (rag)

Educational Requirements Bachelor of Engineering Service Line Information Systems Responsibilities Job Responsibilities:* Architect and Design scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc.* Collaborate with cross-functional teams to identify business needs and develop tailored solutions* Provide technical leadership and guidance to junior team members* Stay up-to-date with the latest advancements in AI, machine learning, and data science, and apply this knowledge to improve our solutions* Communicate complex technical concepts to non-technical stakeholders and team members* Troubleshoot and resolve technical issues, and provide support to ensure high system uptime and performance* Develop and maintain technical documentation, and ensure that all solutions are well-documented and easily maintainable Additional Responsibilities: Required Qualifications:* B.E/B.Tech/M.E/M.Tech/MCA degree in Computer Science, Information Technology, or a related field* At least 8 years of experience in software development, with at least 2 years of experience in Generative AI* Proficiency in LangChain, Python, Generative AI, Agentic AI, Kafka, and Advanced Prompt Engineering Techniques* Strong understanding of software architecture, design patterns, and principles* Excellent problem-solving skills, with the ability to analyze complex technical problems and develop creative solutions* Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholdersTech SkillLangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, KafkaSoft SkillCommunication, Team Work, Problem Solving Technical and Professional Requirements: Preferred Qualifications:* Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI* Experience with cloud-based technologies, such as AWS or Azure* Familiarity with containerization using Docker, and orchestration using Kubernetes* Familiarity with agile development methodologies, such as Scrum or Kanban* Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch* Knowledge of data engineering, data warehousing, and data governance* Experience with agile development methodologies, such as Scrum or Kanban* Certification in data science, machine learning, or a related field* Experience with leadership and mentoring, with a proven track record of guiding junior team members and helping them grow in their careers* Strong business acumen, with the ability to understand business needs and develop solutions that drive business growth and improvement. Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL Technology-Machine Learning-Python Technology-Machine Learning-Generative AI Technology-Machine Learning-AI/ML Solution Architecture and Design-generative ai

We are hiring an AI Solution Architect with 12-15 years of experience in software development and architecture, with deep expertise in AI/ML within the healthcare IT domain. This is a 12-month full-time onsite role based in Chennai or Hyderabad for an immediate joiner. The ideal candidate will possess strong experience in cloud platforms (GCP preferred), AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), and compliance with healthcare industry standards (e.g., HIPAA). Youll be responsible for designing scalable AI solutions, leading cross-functional teams, mentoring developers, and driving end-to-end AI solution delivery using MLOps best practices.

Community Program Design: Designing a program framework to launch, onboard, and nurture growth of communities in priority countries around the world, collaborating with other program teams to align objectives Design a framework to build and nurture a student and faculty ecosystem (including but not limited to student clubs, societies and associations, university platforms, academic departments and career services, etc.) Community Engagement & Support: Building and maintaining strong relationships with community members and focal points, acting as their advocate within the company. Proactively engaging with community members through online platforms, forums, social media, and virtual events to foster collaboration and knowledge sharing. Creating, curating, and sharing resources, including guides, FAQs, and industry insights, to help community members enhance their engagement with extended communities. Collaborating with the Marketing team to promote IBM opportunities, showcase success stories and promote their impact across multiple channels. Onboarding & Training: Onboarding new community members and ensuring they are fully equipped to engage their extended communities effectively. Developing and delivering promotional, enablement and training materials, webinars, and best practices. Community Building & Events: Planning and executing virtual events, such as webinars, roundtable discussions, and Q&A sessions in collaboration with program and delivery teams, to promote collaboration and professional development within the community. Developing initiatives that encourage networking, mentorship, and peer support among community members. Organizing recognition and incentive programs to celebrate high-performing community members and foster community spirit. Feedback & Improvement: Gathering feedback from community members on their experience and identifying areas for improvement. Collaborating with cross-functional teams (Marketing, Consulting, Research) to ensure that community member feedback is folded into future strategy. Analyzing engagement metrics and feedback to identify trends, opportunities, and areas for improvement. Required education Bachelor's Degree Required technical and professional expertise About 7+ years of experience designing and runningglobal large-scale programs for professional or student developer communities. Successful track record of setting up and running global community programs with students, developers, and academic stakeholders. Strong experience in community and ecosystem building, including launching and scaling communities, managing stakeholders and operations (including processes, documentation and resource management). Successful track record of creating engaging experiences for student and faculty communities, including experiences that meet individual geographic and global needs. Deep understanding of university and AI education and related ecosystems. Ability to map stakeholders (internal teams, external partners, end-users, etc.) and align community activities with broader organizational objectives. Experience in multi-channel promotion and in collaborating with communications and marketing to promote opportunities and showcase successes. Defining and tracking engagement, growth and impact, reporting program metrics and driving continuous improvements based on lessons learned. Entrepreneurial mindset and appetite to stretch the role, constantly reimagining what it can deliver Ability to genuinely understanding members’ needs, challenges and aspirations, cultivating. relationships, empowering local champions, and demonstrating follow-through on commitments. Ability to work effectively across timezones and multicultural environment. A successful Community Manager is able to combine a a clear strategic vision with hands-on community and ecosystem care, keeping member value at the heart of every decision and driving program growth. Preferred technical and professional experience Experience engaging and nurturing communities on social media Familiarity with data and AI technologies

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 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.

Provide technical leadership in the design, development, and maintenance of scalable build systems and deployment pipelines for AI/ML components, setting standards for quality, reliability, and performance. Mentor and guide a team of engineers, promoting best practices in C++, Python, CI/CD, and infrastructure automation. Design and implement robust build automation systems that support large, distributed AI/C++/Python codebases. Develop tools and scripts to 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 of portable, reproducible development environments, ensuring parity between development and production systems. Maintain and extend CI/CD pipelines for Linux and z/OS, applying 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 and technical goals. Proactively monitor and improve build performance, automation coverage, and system reliability, identifying opportunities for innovation and optimization. Contribute to internal documentation, process improvements, and knowledge sharing to scale impact across teams and foster a culture of continuous improvement. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Expert-level programming skills in C++ and Python, with a strong grasp of both compiled and interpreted language paradigms; able to provide architectural guidance and code-level mentorship. Demonstrated leadership in building and maintaining complex automation pipelines (CI/CD) using tools like Jenkins or GitLab CI, including the ability to define strategy, review team contributions, and drive implementation. In-depth experience with build tools and systems such asCMake, Make, Meson, or Ninja, including development of custom scripts and support for cross-compilation in heterogeneous environments. Proven experience leadingmulti-platform development efforts, particularly onLinux and IBM z/OS, with a deep understanding of platform-specific toolchains, constraints, and performance considerations. Expertise inintegrating native C++ code with Pythonusing tools like pybind11 or Cython, ensuring high-performance and maintainable interoperability across language boundaries. Strong diagnostic and debugging skills, with the ability to lead teams in resolving build-time, runtime, and integration issues in large-scale, multi-component systems. Proficiency inshell scripting (e.g., Bash, Zsh)and system-level operations, with the ability to coach others in scripting best practices. Familiarity withcontainerization technologies like Docker, and a track record of leading the adoption or optimization of container-based development and deployment workflows. Excellent communication and collaboration skills, with the ability to coordinate across disciplines, align technical efforts with strategic goals, and foster a high-performing engineering culture. Preferred technical and professional experience Working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, or ONNX, with an understanding of how to integrate them into scalable, production-grade environments,able to guide teams in best practices for deployment and optimization. Experience developing or maintaining software onIBM z/OS mainframe systems, with the ability to mentor others in navigating legacy-modern hybrid ecosystems. Familiarity withz/OS build and packaging workflows, including leading efforts to streamline and modernize tooling where appropriate. Solid understanding ofsystem performance tuningin high-throughput compute and I/O environments (e.g., large-scale model training or inference pipelines), and the ability to direct optimization strategies. Knowledge ofGPU computing and low-level profiling/debugging tools, with experience driving performance-critical initiatives. Experience managinglong-lifecycle enterprise systems, ensuring forward- and backward-compatibility across releases and deployments through proactive planning and versioning strategies. Background contributing to or maintainingopen-source projectsin infrastructure, DevOps, or AI tooling domains, with a focus on community engagement and sustainability. Proficiency indistributed systems, microservice architectures, and REST APIs, including guiding architectural decisions that balance performance, maintainability, and scalability. Proven experience leadingintegration of MLOps pipelines with CI/CD frameworks, ensuring seamless, secure, and automated deployment of AI/ML models into production workflows. Exceptional communication and stakeholder management skills, capable of clearly articulating technical strategies and trade-offs to non-technical audiences. Demonstrated ability to fostercollaboration and alignment across diverse, cross-functional teams, including AI researchers, DevOps engineers, and enterprise architects. Track record of ensuringcompliance with industry standards, security policies, and best practicesin enterprise-scale AI engineering. Commitment tomaintaining high standards of code quality, performance, and security, with the ability to review and enforce standards across a team or organization.

IBM Z GSI Solution Architects drive adoption of technology patterns for mainframe application and operations modernization. Therefore, all Solution Architects should be able understand, appreciate and advocate the hybrid, in-place modernization leveraging the latest software and hardware advancements and capabilities on IBM Z. As a Senior Solution Architect, you will have - 15+ years of industry experience with 5+ years of experience as a Solution Architect Demonstrated expertise to engage with Clients /Partners and communicate effectively as a subject matter expert (SME) on IBM Z Prior experience of working with a System Integrator and building solution offerings is a plus Ability to learn and articulate the value of modernizing applications and operations on Mainframe and influence clients and Partners to embark on this journey Experience in working with technologies and offerings around Data and AI, Security, Hybrid Cloud, DevOps and Cloud Native Application development, preferably on IBM Z platform. Hands-on skills with technology to be able create demo assets and showcase to customers, conduct PoCs/PoTs, conduct enablement sessions etc. Ability to collaborate with other parts of IBM to help GSIs embrace the hybrid, in-place modernization on IBM Z Ability to engage with Senior Executives, Practice /Vertical Heads of the top GSIs of IBM and IBM Consulting to create valueproposition, content and assets to drive Mainframe skills, capabilities and expertise for client engagements. Solution Architect for Z would primarily perform one or more of the following Co-creation of solutions with GSI partners Development of customizable solution offerings covering various SI personas GSI consumable collateral, Frameworks, Accelerators etc. that are subsequently customized by SIs for their use. Creation of Industry solution accelerators Education / Enablement of GSIs with new solutions or new offerings. Support GSIs during internal or client POCs Support joint technical engagements with clients. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proficiency with middleware such as Db2, IMS, CICS, MQ, WAS Experience with DevOps, CI/CD pipelines, automation, and orchestration tools Understanding of AI/ML solutions, Python basics, data analytics and data modernization strategies on IBM Z Deep experience with IBM z/OS, z security (including RACF), z networking, and Linux on z (RHEL, Ansible, z/VM) Expertise in integrating applications and modernizing data environments using APIs and microservices Experience with enterprise automation, AIOps and observability tools Good knowledge of OpenShift, Cloud and container technologies, Knowledge of IBM Cloud Paks is a plus. Demonstrated communication skills in customer-facing environments at all levels (technical, business and executive leadership levels) Experience collaborating with cross-functional teams, stakeholders and ecosystem partners Ability to lead architectural design, conduct workshops, and mentor junior architects and engineers Preferred technical and professional experience Hands on skills on Software Installation / Maintenance on System Z , System Administration, Performance Tuning tasks would be a plus. Working knowledge of cloud services that are a key part of REST API driven integration architecture and administrative skills on cloud platforms preferred.

As a member of Data & AI Upgrade SWAT team, you will assist clients with upgrading their deployment of Cloud Pak for Data by working in partnership with IBM CSM (Client Success Manager) and, where applicable, Expert Labs, IBM Consulting, or other teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise The ideal candidate should have strong technical skills on Cloud Pak for Data which is a Data and AI platform on top of Red Hat OpenShift Container Platform and a passion to work challenging customer projects.Following are the skill requirements: Should have 5 - 7 Years working experience Linux and Red Hat OpenShift Container Platform. Expertise on Cloud technologies, such as IBM Cloud, AWS or Azure. Familiar with Python, JavaScript or other programming languages. Strong analytical and problem-solving skills. Good communication and project management skills in customer projects. Strong learning skills with new technologies and tools. Fluent level of English. Preferred technical and professional experience Knowledge and experience with IBM Data and AI technologies and products would be preferred. Experience with install or upgrade of Cloud Pak for Data would be a plus. Experience with IBM Software Support would be a plus.

In the IBM Chief Information Office,you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organisations. As a Data Scientist within IBM's Chief Information 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 optimisation 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 analyse complex datasets and generate actionable insights. Learn and utilise 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 Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience: 5+ 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

As a Generative AI Solution Architect with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients. * You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale * You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures. * You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions. * You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. * You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams. * You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Professional with at least 5-10 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions. * Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholder Preferred technical and professional experience Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholders.* Fluent in English

1. Lead Development and deployment of AI Compilers at system level, leveraging deep expertise in AI/ML and Data Science to ensure scalability, reliability, and efficiency. 2. Direct the implementation and optimization of AI Device specific compiler technology, personally driving solutions for complex problems. 3. Collaborate closely with cross-functional teams hands-on approach to ensure seamless integration and efficiency. 4. Proactively stay abreast of the latest advancements in AI/ML technologies and actively contribute to the development and improvement of AI frameworks and libraries, leading by example in fostering innovation. 5. Effectively communicate technical concepts to non-technical stakeholders, showcasing excellent communication and interpersonal skills while leading discussions and decision-making processes. 6. Uphold industry best practices and standards in AI engineering , maintaining unwavering standards of code quality, performance, and security throughout the development lifecycle. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 1. AI compiler development Leadership: - Deep experience in demonstrating coding skills, teaming capabilities, and end-to-end understanding of Enterprise AI product. - Deep background in machine learning, deep learning. - Hands-on expertise with MLIR and other AI compilers like XLA, TVM, etc. - Deep understanding of AI accelerators like GPU, TPU, Gaudi, Habana, etc. - Expertise with product design, design principles and integration with various other enterprise products. 2. Traditional AI Methodologies Mastery: - Demonstrated proficiency in traditional AI methodologies, including mastery of machine learning and deep learning frameworks. - Familiarity with model serving platforms such as Triton inference server, TGIS and vLLM, with a track record of leading teams in effectively deploying models in production environments. - Proficient in developing optimal data pipeline architectures for AI applications, taking ownership of designing scalable and efficient solutions. 3. Development Ownership: - Proficient in backend C/C++, with hands-on experience integrating AI technology into full-stack projects. - Demonstrated understanding of the integration of AI tech into complex full-stack applications. - Strong skills in programing with Python - Strong system programming skills 4. Problem-Solving and Optimization Skills: - Demonstrated strength in problem-solving and analytical skills, with a track record of optimizing AI algorithms for performance and scalability. - Leadership in driving continuous improvement initiatives, enhancing the efficiency and effectiveness of AI solutions. Preferred technical and professional experience 1. Knowledge in AI/ML and Data Science: - Over 13 years of demonstrated leadership in AI/ML and Data Science, driving the development and deployment of AI models in production environments with a focus on scalability, reliability, and efficiency. - Ownership mentality, ensuring tasks are driven to completion with precision and attention to detail. 2. Compiler design skills: - Proficiency in LLVM - Base compiler design concepts 3. Commitment to Continuous Learning and Contribution: - Demonstrated dedication to continuous learning and staying updated with the latest advancements in AI/ML technologies. - Proven ability to contribute actively to the development and improvement of AI frameworks and libraries. 4. Effective Communication and Collaboration: - Strong communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders. - Excellence in interpersonal skills, fostering collaboration and teamwork across diverse teams to drive projects to successful completion.

Key Responsibilities: Design and implement generative AI models using LLMs, GANs, VAEs, and diffusion models. Fine-tune and optimize pre-trained models (e.g., GPT, LLaMA, Claude) for specific business use cases. Develop and maintain scalable pipelines for training, evaluation, and deployment of generative models. Integrate generative models into production systems using APIs and cloud services. Collaborate with data scientists, product managers, and software engineers to define project goals and deliverables. Monitor model performance and continuously improve accuracy, efficiency, and safety. Stay up to date with the latest research and advancements in generative AI and machine learning. Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, AI, Machine Learning, or a related field. 3+ years of experience in machine learning, with at least 1–2 years focused on generative models. Proficiency in Python and ML frameworks like PyTorch or TensorFlow. Experience with LLMs, RAG (Retrieval-Augmented Generation), and vector databases (e.g., FAISS, Pinecone). Familiarity with MLOps tools (e.g., MLflow, Weights & Biases) and containerization (Docker, Kubernetes). Strong understanding of deep learning architectures and training techniques. Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scaling.

Conducting classroom Training on programming skills Creating a positive and engaging learning environment A passion for teaching and helping students achieve their career goals Strong knowledge of SQL. Python, Data Science, ML, DL, NLP, Power Bi

We are looking for a skilled Machine Learning Engineer with strong expertise in Natural Language Processing (NLP) and AWS cloud services to design, develop, and deploy scalable ML models and pipelines. You will play a key role in building innovative NLP solutions for classification, forecasting, and recommendation systems, leveraging cutting-edge technologies to drive data-driven decision-making in the US healthcare domain. Key Responsibilities: Design and deploy scalable machine learning models focused on NLP tasks, classification, forecasting, and recommender systems. Build robust, end-to-end ML pipelines encompassing data ingestion, feature engineering, model training, validation, and production deployment. Apply advanced NLP techniques including sentiment analysis, named entity recognition (NER), embeddings, and document parsing to extract actionable insights from healthcare data. Utilize AWS services such as SageMaker, Lambda, Comprehend, and Bedrock for model training, deployment, monitoring, and optimization. Collaborate effectively with cross-functional teams including data scientists, software engineers, and product managers to integrate ML solutions into existing products and workflows. Implement MLOps best practices for model versioning, automated evaluation, CI/CD pipelines, and continuous improvement of deployed models. Leverage Python and ML/NLP libraries including scikit-learn, PyTorch, Hugging Face Transformers, and spaCy for daily development tasks. Research and explore advanced NLP/ML techniques such as Retrieval-Augmented Generation (RAG) pipelines, foundation model fine-tuning, and vector search methods for next-generation solutions. Required Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related technical field. 6+ years of professional experience in machine learning, with a strong focus on NLP and AWS cloud services. Hands-on experience in designing and deploying production-grade ML models and pipelines. Strong programming skills in Python and familiarity with ML/NLP frameworks like PyTorch, Hugging Face, spaCy, scikit-learn. Proven experience with AWS ML ecosystem: SageMaker, Lambda, Comprehend, Bedrock, and related services. Solid understanding of MLOps principles including version control, model monitoring, and automated deployment. Experience working in the US healthcare domain is a plus. Excellent problem-solving skills and ability to work collaboratively in an agile environment. Preferred Skills: Familiarity with advanced NLP techniques such as RAG pipelines and foundation model tuning. Knowledge of vector databases and semantic search technologies. Experience with containerization (Docker, Kubernetes) and cloud infrastructure automation. Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share. Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment. Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions. Collaborate with cross-functional teams to integrate data-driven insights into business processes. Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders. Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions. Qualifications Bachelors or Masters degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred. 5+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modeling. Expertise in Bayesian modeling and machine learning techniques. Proven experience working with AWS SageMaker for model development, deployment, and monitoring. Familiarity with AWS Certified Data Analytics Specialty certification is a plus. Strong programming skills in Python (preferred) or R. Experience with cloud platforms (AWS preferred), including SageMaker. Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar) Excellent problem-solving and analytical thinking skills. Ability to work in a fast-paced environment and manage multiple projects. Strong communication skills with the ability to explain complex concepts to non-technical audiences. Preferred Qualifications : Experience with A/B testing, econometrics, or other statistical experimentation methods. Familiarity with other cloud computing platforms (e.g., Azure, GCP). Experience working in cross-functional teams and client-facing roles. Additional Information Opportunity to work with cutting-edge technology in a dynamic environment. Exposure to a diverse range of industries and projects. Collaborative and inclusive work culture with opportunities for growth and professional development.

We are looking for a detail-oriented and strategic Business Analyst with experience of working on IT projects dealing with corporate finance data. The ideal candidate will work at the intersection of business, data, and technology, acting as a bridge between the Finance team and the technical team. They will be instrumental in gathering requirements, validating outputs, ensuring alignment with business objectives, and supporting iterative delivery across phases. Key Responsibilities: Collaborate with stakeholders from Finance team to capture business requirements and translate them into actionable technical inputs. Analyze financial reports (e.g., Key Figures, Financial Statements, Capex Reports) and map them to underlying data structures (Power BI, OLAP Cubes). Facilitate UAT (User Acceptance Testing) and maintain traceability between requirements, test cases, and outcomes. Participate in Agile ceremonies and sprint reviews, ensuring business alignment and timely sign-offs. Work with data owners to document dataset definitions, KPIs, cube hierarchies, and metadata needed for model context. Requirements: 5+ years of experience as a Business Analyst in an IT services company working on corporate finance projects. Proficient in creating BRDs, user stories, workflows, and test cases. Strong understanding of financial reports, financial KPIs, variance analysis, forecasting, and budgeting processes. Experience working with BI tools such as Power BI and OLAP cubes (SSAS). Familiarity with Excel and PowerPoint-based financial commentaries and how they are used in decision-making. Exposure to AI, ML, or LLM-based platforms (e.g., Azure OpenAI, Copilot interfaces) is a plus. Comfortable working with semi-structured and structured data sources. Excellent communication skills able to distill complex technical outputs into business-friendly narratives. Good to have: Experience of working on AI implementation projects. Experience with tools like JIRA, Confluence, or Azure DevOps. Certification in Business Analysis (CBAP/CCBA) or Agile (Scrum Product Owner/BA). Contribute to prompt engineering and RAG (Retrieval-Augmented Generation) context definition to improve AI performance.