Position: AI Integration Specialist Radiology Workflow Automation Location: Remote (India-based) Type: Full-Time | Long-Term Role About Us: We are a leading radiology group with clinical operations in the U.S. and a support office in India. We are seeking a highly motivated and technically capable AI Integration Specialist to join our international team. This role is ideal for someone with a strong interest in artificial intelligence, healthcare informatics, and radiology workflow optimization. We are currently implementing an AI-assisted radiology reporting workflow in which dictated reports are polished and refined using large language models like ChatGPT. The current workflow is manual, but the long-term goal is full integration and automation through our Radiology Information System (RIS). Key Responsibilities: Process radiology reports using AI tools (e.g., ChatGPT), enhancing formatting, clinical clarity, and adherence to structured reporting standards. Assist with the future automation of this process by designing and testing integration between ChatGPT (or other AI systems) and our RIS using APIs, HL7, or FHIR. We recognize that outsourced assistance will be needed and provided in certain areas. Work closely with radiologists, medical transcription staff, and IT support to refine and streamline the AI-enhanced report editing workflow. Monitor AI output for accuracy, consistency, and clinical appropriateness, offering feedback and improvements. Document standard operating procedures, data flow diagrams, and integration roadmaps. Stay current on emerging AI applications in healthcare, particularly those relevant to radiology. Qualifications: Bachelors or Masters degree in Computer Science, Biomedical Engineering, Health Informatics, or a related field. Minimum 3 years of experience in software development, healthcare IT, or AI/ML system integration—preferably in a clinical or radiology environment. Experience working with healthcare data exchange standards (DICOM, HL7, FHIR) is highly preferred. Familiarity with radiology IT systems such as PACS, RIS , and clinical dictation workflows. Exposure to AI platforms like OpenAI, Azure AI, or Google Cloud AI tools is desirable. Strong written and verbal English communication skills with the ability to work in a global, collaborative environment. Must be quite self-motivated, detail-oriented, and capable of independently managing tasks and timelines. What We Offer Competitive compensation based on experience and capability. Fully remote work environment with flexible scheduling. Long-term growth opportunity to lead AI implementation and innovation efforts across clinical domains. A chance to work at the intersection of radiology, healthcare, and artificial intelligence—shaping the future of medical reporting. To Apply Please email your CV and a short cover letter explaining your interest in healthcare AI and experience with relevant technologies. Include links to past projects or GitHub profiles if available. Email address: hr@intelligentradiologysolutions.com, Phone No: 6006642618

AI Tech Lead to spearhead the architecture, development, deployment of advanced enterprise AI solutions built on the Microsoft Azure ecosystem, leveraging Azure Foundry, Vector Databases, and Graph-based Retrieval-Augmented Generation(Graph RAG). Required Candidate profile This strategic role involves leading the full-stack AI development—connecting SharePoint, SQL, custom application layers—to build intelligent bots, real-time decision systems, and AI transformation

As a Senior Lead Architect at JPMorgan Chase within the Consumer Community Banking Payments Team, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications and platforms products. You drive significant business impact and help shape the target state architecture through your capabilities in multiple architecture domains. Job responsibilities Represents a product family of technical governance bodies Provides feedback and proposes improvements to architecture governance practices Guides evaluation of current technology and leads evaluation of new technologies using existing standards and frameworks Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of 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 applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s), applications, and architecture Advanced knowledge of software architecture, applications, and technical processes with considerable in-depth knowledge in one or more technical disciplines (eg, cloud, artificial intelligence, machine learning, mobile, etc) Proficiency in leading the end to end design of architecture or Small Mid-sized Business (SMB) payment systems using Spring boot/Java microservices, event driven architecture and domain driven design concepts. Track record of migrating legacy payment platforms to cloud native environments (AWS, Azure, or GCP) with the intent to enhance performance, security, resilience and reduce cost. Demonstrated ability to partner with product managers, developers, and business stakeholders to align architectural decisions with business objectives and customer needs. Proven ability in implementing solutions that handle high transaction volumes, low latency, and seamless integration with third party payment providers. we'll versed with RESTful API standards and messaging standards along with the ability to perform the architecture-to-code review working with the technology teams Experience designing payments systems adhering to security standards such as PCI DSS and ensure compliance with regulatory requirement. Adds to team culture of diversity, equity, inclusion, and respect Preferred qualifications, capabilities, and skills Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture

Engineering Leader This role requires a strategic thinker who can drive innovation, enhance system scalability, and mentor engineering teams to build world-class AI-driven applications. Required candidates Profile Minimum 15 years of experience to lead a team of full-stack and backend developer s. strong expertise in software architecture, modern cloud technologies, and hands-on experience with Generative AI. Required Skills & Qualifications: Technical Leadership: Proven experience in leading engineering teams, setting technology vision, and executing large-scale projects. Architect and lead the development of scalable, high-performance full-stack applications using Node.js, React.js, and Java to power cutting-edge products. Design and implement microservices-based, event-driven architectures with RESTful & GraphQL APIs , ensuring seamless user experiences. Optimize system performance, scalability, and reliability , leveraging caching (Redis), database tuning (PostgreSQL, MongoDB), and load balancing strategies . Oversee CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployments across AWS, GCP, or Azure to support continuous innovation. Implement security best practices (OAuth, JWT, OWASP) while ensuring compliance with industry standards for scalable product security . Guide teams in writing high-quality, scalable, maintainable, and test-driven code (Jest, Mocha, JUnit) to support long-term product evolution . Lead frontend architecture decisions, focusing on SSR, hydration strategies, and component-based design to enhance performance and user engagement. Drive observability and monitoring through logging (ELK, Datadog), tracing, and real-time system insights (Prometheus, Grafana) to improve user experience. Collaborate with DevOps teams to automate infrastructure and optimize deployment using Infrastructure as Code (Terraform, Ansible) . Stay ahead of emerging technologies , continuously improving system scalability, developer productivity, and product innovation . Preferred Qualifications: Prior experience in AI-driven products or SaaS applications. Experience in handling large-scale distributed systems and real-time processing. Understanding of security best practices in cloud-native applications. Contributions to open-source projects or research in AI/ML. contact dreamjobs@intellisearchonline.net

Hello Everyone, Optum is hiring Java Developer with AI ML flavor at Gurgaon/Noida. Primary Skills: Java, Spring, GenAI, Splunk/Dynatrace/New Relic, AWS/GCP/Azure, Deep Learning Experience: 7 yrs to 11 yrs Notice Period: Immediate to 45 days Location: Gurgaon/Noida Job Description: Experience in AI Ops that includes AI/ML Models quality monitoring and alerting, AI/ML Model development and continuous improvement, incident triage, troubleshooting, monitoring, continuous innovation Strong knowledge of GenAI models like Gemini, GPT4, and traditional machine learning models from the NLP/Deep Learning discipline. 7+ yrs of experience Java development. Hands-on experience on AI ML (Min 6 months - 1 yr in project) Experience working with data analysis (e.g., Splunk, Dynatrace, New Relic) tools. Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP). Solid incident management skills, with a data-driven and analytical approach to diagnosing complex issues Excellent problem-solving and troubleshooting skills. Ability to work collaboratively with a diverse team of engineers, architects, and developers. Ability to work independently and in a team environment Nice to Have Machine Learning certifications. Experience in a Healthcare Payer enterprise. Proficient in CRM platforms, such as Salesforce. Knowledge of data privacy regulations and practices. Experience in training team members on machine learning technologies and applications. Strong communication and project management skills. Ability to work independently and in a team environment Interested can share their updated CV at mohammad_ayub@optum.com. Thanks and Regards, Arshad Ayub - Talent Scout Optum mohammad_ayub@optum.com

Our client is leading Global IT Service and Consulting Organization Role : Gen AI Lead/ Architect Exp : 10+ years Location. : Bangalore, Chennai, Hyderabad NP: Immediate to 30 days Job Description : Mandatory Skills : Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Preferred Skills : GCP/Azure/AWS, Databricks, MLOps (tools like Kubeflow/ Mlflow) , Kubernetes, GitHub/Bitbucket, ADO, GPT-4

Hi, We have immediate opening for ML Engineer role Exp: 3 to 7 Yrs Location: Hyderabad Notice Period: Immediate to Max 15 Days Skills: Machine learning,AI

You are responsible for Interacting with business / client stakeholders and assessing requirements for the new reconciliation and responsible for matching rule prototype, configuration and implementation in Intellimatch platform Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Creating business cases, Identifying market potential, Requirements gathering, Requirements analysis Conducting research in incorporating intelligence to Artificial Intelligence based products & design Mentoring team to code Artificial Intelligence algorithms Product management & Team management Preferred technical and professional experience Knowledge about Renewables, ADMS, Generation, Transmission and Distribution of Energy Resource should be knowledgeable about digital technologies Strong written, oral communication skills and able to manage user / vendor / customer

Scale an existing RAG code base for a production grade AI application Requirements: Proficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) Development: Develop 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 Sharing: Document 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 Innovation: Stay 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. Experience in python and pyspark will be added advantage 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 Having experience in Code generation, code matching & code translation Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . 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. Demonstrate a growth mindset to understand clients' business processes and challenges Preferred technical and professional experience Education: Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Data Science or a related field. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. Implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes). Experience in contributing to open-source AI projects or utilizing open-source AI frameworks. Experience in optimizing AI algorithms for performance and scalability. Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems effectively. 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. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure. Proven ability to contribute to the development and improvement of AI frameworks and libraries. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.

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) Development: Develop 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

Position Overview: We are seeking a Senior Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you re seeking an environment for continuous learning and improvement, we d love to hear from you! Virtana is a remote first work environment so you ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy, efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform. Job Location - Pune, Chennai or Remote Qualifications: The ideal candidate must have the following qualifications: 6 + years experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics; CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must Experience in understanding and usage of LLM models and Prompt engineering is preferred. Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow About Virtana: Virtana delivers the industry s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana s software solutions for over a decade. Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. Company Profitable Growth and Recognition In FY2023 (Fiscal year ending January 2023), Virtana earned: Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue Positive Cash Flow, 171% YoY cash flow growth You can schedule with us through Calendly at https: / / calendly.com / bimla-dhirayan / zoom-meeting-virtana

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. About Fractal Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500 companies. Fractals vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the worlds most admired companies. Fractal has over 5000 employees across 17 global locations, including the United States, UK, India, Singapore, Middle East and Australia. Fractal has been recognized as "Great Workplace" and "Indias Best Workplaces for Women" in the top 100 (large) category by The Great Place to Work Institute; featured as a leader in Data Engineering services 2024 Data Science Services 2024 by Information Services Group. Fractal Experience is the design and behavior science unit at Fractal, that uses human-centered design, behavior science data to deliver outcomes across our client s business value chain - Growth, Acceleration, Scale. To set up clients for success, we bring in a full-stack, multi-disciplinary design team of designer researchers and strategists, behavior scientists and UX/UI designers. Role Summary : As a Senior Design Researcher at Fractal, you will play a key role in building deep empathy with users, uncovering unmet needs, and translating research insights into actionable opportunities. You ll be an integral part of conducting the research process from planning and strategy to discovery, synthesis, and insight generation while staying true to the users voice throughout the journey. You ll collaborate closely with interaction designers, data scientists, and engineers to ensure seamless integration across all workstreams, delivering impactful, user-centered solutions. Key Responsibilities : Collaborate with cross-functional teams, including design, data science, and engineering, ensuring alignment and integration across project workstreams Develop and articulate comprehensive research plans, methodologies, and tools tailored to project needs Conduct primary and secondary research, including user interviews, ethnographic studies, and field research Synthesize research findings into clear insights, frameworks, and actionable opportunities Translate insights into design recommendations in collaboration with designers and other stakeholders Transform insights from research into user journeys and low-fi wireframes that deliver seamless user experiences Manage research logistics, including coordination with external agencies and participant recruitment Advocate for the user s voice throughout the project lifecycle, ensuring it remains central to the design process Leverage tech fluency to understand and align research outcomes within a data and AI ecosystem Experience : 6years+ of experience in design research, user experience research, or ethnographic research. Skills : Strong expertise in qualitative and quantitative research methodologies Demonstrated experience in conducting user interviews, field studies, and workshops Ability to synthesize complex findings into clear insights and actionable frameworks Strong storytelling skills to communicate research outcomes effectively If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. About Fractal Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500 companies. Fractals vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the worlds most admired companies. Fractal has over 5000 employees across 17 global locations, including the United States, UK, India, Singapore, Middle East and Australia. Fractal has been recognized as "Great Workplace" and "Indias Best Workplaces for Women" in the top 100 (large) category by The Great Place to Work Institute; featured as a leader in Data Engineering services 2024 Data Science Services 2024 by Information Services Group. Fractal Experience is the design and behavior science unit at Fractal, that uses human-centered design, behavior science data to deliver outcomes across our client s business value chain - Growth, Acceleration, Scale. To set up clients for success, we bring in a full-stack, multi-disciplinary design team of designer researchers and strategists, behavior scientists and UX/UI designers. Location : Mumbai / Bengaluru Role Summary : As a UX/UI Designer at Fractal, you will craft intuitive and visually compelling interfaces that empower data analysts and scientists to navigate complex datasets with ease. This role is pivotal in striking a balance between function and aesthetics, ensuring users feel at home while deriving meaningful insights. We re seeking designers adept at transforming complex interactions into simple, engaging experiences. Youll collaborate across teams to enhance our design process and ensure consistent, high-quality outputs aligned with Fractal s design systems. Key Responsibilities : Collaborate with business consultants, data engineers, and designers to create user-focused, pixel-perfect interfaces Be part of primary and secondary research, including user interviews, ethnographic studies, and eld research Synthesize research ndings into clear insights, frameworks, and actionable opportunities Transform insights from research into wireframes, prototypes, and user ourneys that deliver seamless user experiences Design and iterate across delity levels sketches, wireframes, information architecture, and high-delity mockups Communicate design solutions eectively to clients and stakeholders through clear presentations and artifacts Devise solutions connecting AI, Engineering, and Design while maintaining a user-centered approach Optimize designs for a range of devices and interfaces, with rapid iteration based on feedback. Experience : 3-5 years of experience in TLXTI design; prior experience with data visualization or design systems is a plus. Skills : Strong visual communication and prociency in tools like Figma Expertise in Gestalt principles, typography, composition, and color theory Ability to simplify complex data and abstract ideas into visually engaging, actionable designs Practical knowledge of human-centered design (HCD) and accessibility Proficiency in creating prototypes, conducting user research, and presenting design solutions. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

An AI Data Scientist at IBM is not just a job title - its a mindset. Youll 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) Development: Develop 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 Sharing: Document 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 Innovation: Stay 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 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 mindset: Demonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience Experience: Proven 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

MTS SOFTWARE SYSTEM DESIGN ENGINEER THE ROLE: The right engineer will drive the success of power IP (Intellectual Property) and features in AMD (Advanced Micro Devices) products through leadership & coordination, resolution of technical dependencies, and achievement of schedule commits. This is a high-visibility and widely multi-functional role, spanning pre-silicon architecture to post-silicon implementation & product delivery. THE PERSON: You will use your software development experience to innovate to improve yourself and our products. You will have a passion for understanding software performance and developing tools to increase your colleagues productivity. Your peers will provide you a results-oriented and encouraging environment to solve challenging technical problems and grow your career , fueling your opportunity to be a part of Delighting Our Customers. KEY RESPONSIBILITIES: Use proofing tools to identify and understand performance bottlenecks in large code bases, including libraries and HPC applications. Optimize compiled code, including the use compiler optimizations and the leverage of performant libraries Collaborate with software engineers to enable them to understand and improve code performance Build software tools for the most advanced HPC (High Performance Compute) and AI platforms in the world Innovate in production software environments continuously striving to optimize the workflow PREFERRED EXPERIENCE: Programming experience using C/C++ and/or Fortran Excellent problem solving skills, including the ability to flexibly learn new technical skills and resolve novel and unforeseen issues Self managing, being able to work with limited supervision on multiple complex tasks and deliver goals on time Good communication and team working skills, able to efficiently meet individual and team goals as part of a distributed team Experience of parallel languages and paradigms, such as OpenMP or MPI Prior experience of scripting such as Python, Shell, or R is desirable Knowledge of build systems, Spack and source code control systems is desirable ACADEMIC CREDENTIALS: Bachelor s or Masters degree in Computer Ecience, Engineering, Mathematics or equivalent

Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Sr. Associate Director, Software Engineering In this role, you will: Provide coaching and guiding directly or indirectly to engineering teams by giving clear technical direction, feedback and timely suggestions to ensure a high-quality standard of deliverables according to HSBC standards and best practices. Provide technical leadership across the end-to-end delivery and run lifecycle, utilising their skills and expertise to carry out software development, testing and operational support activities typically being deployed to resolve the most challenging and/or impactful projects or deliveries End to end accountability for a product or service, identifying and developing the most appropriate Technology solutions to meet customer needs as part of the Customer Journey Address existing technical engineering debt and drive for technical evolution aka Digital Transformation for the teams by working closely with various parties including business, Subject Matter Experts, Solution Architects globally. Liaise with other engineers, architects, and business stakeholders to understand and drive the product or service s direction. Establish a digital environment and automate processes to minimize variation and ensure predictable high-quality code and data. Create technical test plans and records, including unit and integration tests, within automated test environments to ensure code quality. Provide support to DevOps teams working at all stages of a product or service release/change with a strong customer focus and end to end journeys, ensuring they have an excellent domain knowledge. Working with Ops, Dev and Test Engineers to ensure operational issues (performance, operator intervention, alerting, design defect related issues, etc.) are identified and addressed at all stages of a product or service release / change. Provide support in identification and resolution of all incidents associated with the IT service, as directed by leadership of the DevOps team, Ensure service resilience, service sustainability and recovery time objectives are met for all the software solutions delivered. Responsible for automating the continuous integration / continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement. Keep up to date and have expertise on current tools, technologies and areas like cyber security and regulations pertaining to aspects like data privacy, consent, data residency etc. that are applicable Work with industry groups/peers and vendors outside of HSBC to establish and maintain HSBCs involvement and influence in the engineering space. Promote innovation and adoption of cutting-edge specialist technologies and practices with the domain and across HSBC Work with the Engineering Practice to promote development of engineers through coaching, and mentoring. Identify as an authority for specific engineering disciplines providing steer/assistance to programmes or projects that require it. Requirements To be successful in this role, you should meet the following requirements: Currently be a hands-on full stack developer and possess a minimal of 17+ years experience of hands-on software development. Possess strong demonstrable technical capabilities (API, microservices, Java, web-based technologies, ReactJS, database, artificial intelligence, etc), Experience with cloud native development and public cloud providers like GCP or Azure Experience implementing customer facing applications Very good understanding of technology and its application, e.g., mobile app, host to host technologies, artificial intelligence, microservices, etc. Knowledge and experience on DevOps, Disciplined Agile Delivery (DAD), Agile control Framework. Experience presenting to senior stakeholder in both business and technology. Have people leadership capability and experience leading engineering distributed teams encompassing 30+ staff. Are passionate about technology and look for opportunities to learn & bring new ideas to the team. Have experience with Production Support and incident management Excellent knowledge of their technical environment and will have significant responsibility in setting the way forward in the types of technology they look after. Forward thinking, making the right decisions based on strategy Strong communication skills to help for negotiating, collaborating, presenting, facilitating, influencing engineering teams, stakeholders, etc. Demonstrable ability to mentor, develop talent and motivate staff to reach their optimum performance levels and career development Want to be part of a world class team, working for a business with a need and appreciation for excellent software engineers Can-do attitude and problem-solving mindset. Self-starter The successful candidate will also meet the following requirements: Can-do attitude and problem-solving mindset. Self-starter You ll achieve more when you join HSBC. .

Overview Company data team (CDO) of MSCI is responsible for the processing, maintenance, and quality control of various Issuer level data points pertaining to Fundamental data (Balance sheet, Income statement & Cashflow), Segment Data and GICS assignment to the company. These datapoints and the derived ratios based on these data in turn serve as inputs to its various products related to Equity, Fixed income and ESG & Climate of MSCI. The Fundamental Data (FD) Team within the Company Data vertical is responsible for maintaining and improving our large sets of fundamental data. They help keep our data accurate and expand our coverage using financial knowledge, AI, machine learning, and technical skills like Python, Power BI, and SQL. As a member of this dynamic team, you will be responsible for Maintain and improve large data sets,identifying opportunities to automate and optimize manual processes, fostering a culture of continuous improvement. You will guide your peers in leveraging automation to streamline operations and deliver tangible results. If you’re passionate about AI , thrive in a fast-paced, self-driven environment, and want to leave a lasting impact on the business, this is the perfect role for you. We seek a highly skilled member with Strong understanding of financial concepts, corporate events, and data certification, a proven track record in developing large-scale, reliable platforms from the ground up, not just applications or solutions. Experience in delivering multiple successful versions of platforms over time is a key advantage. You’ll collaborate closely with teams across product , research , operations , and program management , ensuring that the platforms you build are not only built to last but deliver immediate and long-term value. This is a highly visible and impactful role that offers the opportunity for long-term growth within MSCI . Responsibilities Your Responsibilities Take lead in creating data validation process to maintaing and improve large data sets. To find panic areas where processes can be improved and automated through advanced AI tools and programming solutions. Spearhead key projects aimed at upgrading outdated systems, introducing innovative methods to boost operational performance. Offer support and guidance to colleagues in utilizing tools such as Python, Power BI, SQL, and machine learning to enhance the team's technical capabilities. Partner with various teams, including product development, research, and operations, to ensure cohesive project execution and solution delivery. Contribute to the creation and implementation of reliable, scalable systems that meet both immediate needs and long-term goals. Encourage ongoing assessment of existing processes and recommend new strategies to improve operational efficiency and effectiveness. Use data analytics and visualization techniques to support informed decision-making and drive strategic initiatives Qualifications Skills and experience that will help you excel 2-4 years of relevant experience with a solid understanding of financial principles and their application in capital markets. Experience in automating manual processes to improve efficiency. Basic programming skills for automation, data analysis, and database management. Expertise in data visualization and reporting using Power BI. Proven track record of building scalable, reliable platforms from the ground up. Ability to guide teams in driving transformation and identifying optimization opportunities. Strong cross-functional teamwork with product, research, operations, and management teams. Skilled in identifying inefficiencies and creating innovative solutions. Ability to thrive in fast-paced, evolving environments with long-term commitment to projects. Preferred Skills: Knowledge and hands-on experience in AI fundamentals, prompt engineering, and machine learning techniques. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. About Fractal Fractal is one of the most prominent providers of Artificial Intelligence to Fortune 500 companies. Fractals vision is to power every human decision in the enterprise, and bring AI, engineering, and design to help the worlds most admired companies. Fractal has over 5000 employees across 17 global locations, including the United States, UK, India, Singapore, Middle East and Australia. Fractal has been recognized as "Great Workplace" and "Indias Best Workplaces for Women" in the top 100 (large) category by The Great Place to Work Institute; featured as a leader in Data Engineering services 2024 & Data Science Services 2024 by Information Services Group. Fractal Experience is the design and behavior science unit at Fractal, that uses human-centered design, behavior science & data to deliver outcomes across our client s business value chain - Growth, Acceleration, Scale. To set up clients for success, we bring in a full-stack, multi-disciplinary design team of designer researchers and strategists, behavior scientists and UX/UI designers. Location : Mumbai / Bengaluru Role Summary : As a Design Researcher at Fractal, you will play a key role in building deep empathy with users, uncovering unmet needs, and translating research insights into actionable opportunities. You ll be an integral part of conducting the research process from planning and strategy to discovery, synthesis, and insight generation while staying true to the users voice throughout the journey. You ll collaborate closely with interaction designers, data scientists, and engineers to ensure seamless integration across all workstreams, delivering impactful, user-centered solutions. Key Responsibilities : Collaborate with cross-functional teams, including design, data science, and engineering, ensuring alignment and integration across project workstreams Develop and articulate comprehensive research plans, methodologies, and tools tailored to project needs Conduct primary and secondary research, including user interviews, ethnographic studies, and field research Synthesize research findings into clear insights, frameworks, and actionable opportunities Translate insights into design recommendations in collaboration with designers and other stakeholders Transform insights from research into user journeys and low-fi wireframes that deliver seamless user experiences Manage research logistics, including coordination with external agencies and participant recruitment Advocate for the user s voice throughout the project lifecycle, ensuring it remains central to the design process Leverage tech fluency to understand and align research outcomes within a data and AI ecosystem Experience : 2-5 of experience in design research, user experience research, or ethnographic research. Skills : Strong expertise in qualitative and quantitative research methodologies Demonstrated experience in conducting user interviews, field studies, and workshops Ability to synthesize complex findings into clear insights and actionable frameworks Strong storytelling skills to communicate research outcomes effectively. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

The Adobe Experience Cloud (https: / / www.adobe.com / experience-cloud.html) is a USD 3B+ business serving the needs of enterprise businesses including 95%+ of fortune 500 organizations. Adobe Journey Optimizer (AJO) within Experience Cloud provides a platform for designing cross-channel customer experiences and provides an environment for visual campaign orchestration, real time interaction management and cross channel execution. It is built natively on the Adobe Experience Platform and combines a unified, real-time customer profile, an API-first open framework, centralized offer decisioning, and artificial intelligence (AI) and machine learning (ML) for personalization and optimization We are seeking an experienced full time Mobile Engineer to join the "Mobile Experience team" and contribute to mobile SDKs that allow customers to craft interactive experiences in their mobile apps. These SDKs are embedded in the mobile apps of many Fortune 500 companies and other large businesses. At Adobe, we process billions of hits per week from these mobile apps. Beyond the usual responsibility of designing, developing, documenting, and thoroughly testing code, Computer Scientists @ Adobe would own features of varying complexity, which may require understanding interactions with other parts of the system, moderately sophisticated algorithms and good design judgment. For this, we are looking for strong and passionate engineers to join our team as we scale the business by building the next gen capabilities and adding new value to our existing offerings! What youll do This is an individual contributor position. Expectations will be on the below lines: Work with a team of engineers to Design, Create and maintain features in our Adobe Experience Platform using the ReactJS/React Native and other js based platforms. Be responsible for all phases of engineering. From early specs, design/architecture, technology choice, development, unit-testing/integration automation, and deployment. Continuously follow new trends in the marketplace and find ways to implement these in our mobile SDKs to provide customers more innovative ways to interact and engage with their users to create mobile experiences. You will help research and prototype new features to evaluate them for inclusion. Build technical specifications, prototypes and presentations to communicate your ideas. Requirements B.Tech / M.Tech degree in Computer Science from a premier institute. 3-5 years of proven experience in software development. Extensive knowledge of mobile platforms and mobile app development experience . Strong programming skills using javascript/typescript, Redux and CI/CD pipelines Excellent computer science fundamentals. Good understanding of software-design algorithms. .

Job Title: Data Scientist Location : Gurgaon Department : Data & Analytics Experience :5+ Employment Type : Full-time About Cars24 Cars24 is revolutionizing the way used cars are bought and sold in India and abroad. Our platform leverages data and technology to provide a seamless car ownership experience. We are driven by insights and fuelled by curiosity, and we aim to transform every part of the auto ecosystemfrom buying to financing to servicing. Role Overview As a Data Scientist at Cars24, you will be part of the core data team responsible for building scalable, data-driven solutions that impact millions of customers. You will work closely with product, engineering, and business teams to solve complex problems using machine learning, statistical analysis, and modeling techniques. Key Responsibilities Collaborate with cross-functional teams to understand business problems and translate them into data science solutions. Build and deploy predictive models using techniques such as regression, classification, clustering, recommendation systems, etc. Analyze large-scale structured and unstructured data to generate insights and guide business decisions. Design and implement A/B tests and causal inference models to measure the impact of changes. Monitor and improve the performance of deployed models continuously. Present analytical findings to senior leadership in a clear, concise manner. Requirements Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or a related field. 5+ years of hands-on experience in a data science or analytics role. Strong programming skills in Python or R; familiarity with data manipulation libraries (e.g., pandas, NumPy). Experience with SQL and working knowledge of databases. Proven experience in machine learning frameworks (scikit-learn, XGBoost, TensorFlow, etc.). Familiarity with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Experience with cloud platforms (AWS/GCP) is a plus. Nice-to-Have Experience in the automotive or e-commerce domain. Exposure to real-time data processing or large-scale data pipelines. Knowledge of MLOps tools and best practices. What We Offer A fast-paced, data-first environment. Opportunity to work on high-impact projects that affect millions of customers. Competitive salary with performance-based incentives. Learning budgets, flexible work options, and a collaborative culture. Role & responsibilities Preferred candidate profile

Main Responsibilities are: Understand, Define and Articulate the art of possible of AI/ML/MLOps solutions to Business heads. Hands-on in Designing, Development and Production roll-out of AI / ML/ MLOps solutions using data science framework and methodologies (CRISP-DM and TDSP) for complex problems. Must have thorough understanding and hands-on experience of using Statistical Modeling, Classical ML, Bigdata Analytics, Deep Neural Networks, Edge AI, MLOps, Generative AI •. Should have good understanding of functional domain with data, data pipelines, data storage, data lineage and quality data management. Data Analysis and Insights Generation - Perform exploratory data analysis (EDA) on large datasets from manufacturing processes, supply chain, and other verticals to uncover trends, anomalies, and actionable insights. Identify key performance indicators (KPIs) and metrics to monitor operational efficiency, sustainability goals, and process improvements. Write efficient, reusable, and well-documented code in Python for data processing, analysis, and automation of workflows. Leverage the AWS ecosystem (e.g., S3, Redshift, Lambda, Glue) for data storage, processing, and integration. Utilize statistical and machine learning techniques to solve business problems. Collaborate with data scientists, engineers, and plant managers to translate business needs into technical solutions. Coordinate with vendors to integrate third-party tools or datasets as required. Work on strategic innovative data science projects (Generative AI/ Video Analytics/ Prescriptive Analytics/ Diagnostic Analytics/ Bigdata Analytics/ Time series Analytics etc.) with transformative vision. Work with Business Head and CFT to understand their requirements, help them understand the Art of possible, and develop innovative AI solutions. Also provide mentorship and guidance to junior Data analysts and Data Science Interns in architecting solutions and developing them.

We're looking for a backend software engineer who is passionate about building robust systems around data not just analyzing it. You'll be part of a small, high-impact team working directly with the founders to drive business value through reliable data infrastructure, web automation, and scalable backend services. This is not a data science only role ; strong computer science fundamentals and real-world engineering experience are essential. Key Responsibilities: You have two key responsibilities in this Role: New Products & Features: Collaborate directly with the founding team to build products where data is the core feature powering everything from enterprise insights to AI-enhanced automation. Design and implement backend services that extract, clean, and structure messy real-world data for downstream use in analytical or AI systems. Ensure System Reliability & Scale Maintain high uptime and performance of our backend services used by thousands of customers across industries. Evolve systems architecture to support more data, faster pipelines, and future AI features all without compromising maintainability. Other responsibilities include: Build and maintain Python-based backend systems optimized for speed, scale, and extensibility. Model, optimize, and query PostgreSQL databases for large, evolving datasets. Design data pipelines in Python to ingest and process web and API data for real-time and batch systems. Implement web scraping and reverse engineering strategies using tools like Selenium to access hard-to-reach data sources. Support AI workflows by preparing clean, structured datasets for model consumption (internal or 3rd-party tools). Deploy and manage backend services on Linux-based cloud servers , configuring tools like Nginx , uWSGI , and monitoring systems. Occasionally build internal data visualizations and dashboards to validate and expose AI/data insights. Qualifications: 1+ years of backend software engineering experience, preferably in data-heavy environments. B.Tech in Computer Science or related field. Strong in Python and data engineering solutions specifically ETL pipelines. Exposure to AI workflows (e.g., data pre-processing for ML, model APIs, or vector databases), even if not hands-on ML. Proficiency in PostgreSQL (or similar RDBMS), including query optimization and schema design. Experience with scraping , data ingestion , and external API integration . Bonus: Familiarity with Python based web backends and Linux server environments and cloud deployment.

Internship Opportunity No-Code Automation Were looking for a proactive intern to help build and maintain automated workflows using no-code tools like n8n . Key Responsibilities: Build and optimize automation workflows Integrate tools using APIs and webhooks Troubleshoot and iterate workflows Maintain documentation and support knowledge sharing Who Should Apply: Familiar with no-code platforms (esp. n8n) Basic understanding of APIs & webhooks Strong problem-solving and learning attitude Can work independently Location Note: Candidates whose hometown is Siliguri but are currently based in other cities are encouraged to apply . Were open to relocation for the right fit and this is a great opportunity to move back home while gaining hands-on experience.