So, what’s the role all about? We are seeking a skilled and experienced Developer with expertise in .net programming along with knowledge on LLM and AI to join our dynamic team. As a Contact Center Developer, you will be responsible for developing and maintaining contact center applications, with a specific focus on AI functionality. Your role will involve designing and implementing robust and scalable AI solutions, ensuring efficient agent experience. You will collaborate closely with cross-functional teams, including software developers, system architects, and managers, to deliver cutting-edge solutions that enhance our contact center experience. How will you make an impact? Develop, enhance, and maintain contact center applications with an emphasis on copilot functionality. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Perform system analysis, troubleshooting, and debugging to identify and resolve issues. Conduct regular performance monitoring and optimization of code to ensure optimal customer experiences. Maintain documentation, including technical specifications, system designs, and user manuals. Stay up to date with industry trends and emerging technologies in contact center, AI, LLM and .Net development and apply them to enhance our systems. Participate in code reviews and provide constructive feedback to ensure high-quality code standards. Deliver high quality, sustainable, maintainable code. Participate in reviewing design and code (pull requests) for other team members – again with a secure code focus. Work as a member of an agile team responsible for product development and delivery Adhere to agile development principles while following and improving all aspects of the scrum process. Follow established department procedures, policies, and processes. Adheres to the company Code of Ethics and CXone policies and procedures. Excellent English and experience in working in international teams are required. Have you got what it takes? BS or MS in Computer Science or related degree 2-4 years’ experience in software development. Strong knowledge of working and developing Microservices. Design, develop, and maintain scalable .NET applications specifically tailored for contact center copilot solutions using LLM technologies. Good understanding of .Net and design patterns and experience in implementing the same Experience in developing with REST API Integrate various components including LLM tools, APIs, and third-party services within the .NET framework to enhance functionality and performance. Implement efficient database structures and queries (SQL/NoSQL) to support high-volume data processing and real-time decision-making capabilities. Utilize Redis for caching frequently accessed data and optimizing query performance, ensuring scalable and responsive application behavior. Identify and resolve performance bottlenecks through code refactoring, query optimization, and system architecture improvements. Conduct thorough unit testing and debugging of applications to ensure reliability, scalability, and compliance with specified requirements. Utilize Git or similar version control systems to manage source code and coordinate with team members on collaborative projects. Experience with Docker/Kubernetes is a must. Experience with cloud service provider, Amazon Web Services (AWS) Experience with AWS Could on any technology (preferred are Kafka, EKS, Kubernetes) Experience with Continuous Integration workflow and tooling. Stay updated with industry trends, emerging technologies, and best practices in .NET development and LLM applications to drive innovation and efficiency within the team. You will have an advantage if you also have: Strong communication skills Experience with cloud service provider like Amazon Web Services (AWS), Google Cloud Engine, Azure or equivalent Cloud provider is a must. Experience with ReactJS. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7442 Reporting into: Sandip Bhattcharjee Role Type: Individual Contributor

Job Summary We are seeking a highly experienced Principal Architect with 10 to 14 years of experience to join our team. The ideal candidate will have expertise in Vertex AI Project Stakeholder Management Google APIGEE Risk Management Delivery Management Cloud Storage Google Data Studio and Looker. This role requires domain experience in Utilities and offers a hybrid work model with day shifts. Responsibilities Lead the design and implementation of complex architectural solutions using Vertex AI and Google APIGEE. Oversee project stakeholder management to ensure alignment with business objectives and successful project delivery. Provide risk management strategies to identify assess and mitigate potential risks throughout the project lifecycle. Manage delivery processes to ensure timely and efficient completion of projects. Utilize Cloud Storage solutions to manage and store data securely and efficiently. Develop and maintain data visualizations and reports using Google Data Studio and Looker. Collaborate with cross-functional teams to ensure seamless integration of architectural solutions. Conduct regular reviews and assessments of architectural frameworks to ensure they meet industry standards and best practices. Implement continuous improvement initiatives to enhance the efficiency and effectiveness of architectural processes. Provide technical guidance and mentorship to junior team members. Ensure compliance with regulatory requirements and industry standards in the Utilities domain. Communicate effectively with stakeholders to provide updates on project progress and address any concerns. Drive innovation and stay updated with the latest technological advancements in the field. Qualifications Possess a strong background in Vertex AI and Google APIGEE with hands-on experience. Demonstrate expertise in project stakeholder management and risk management. Have a proven track record in delivery management and cloud storage solutions. Show proficiency in creating data visualizations and reports using Google Data Studio and Looker. Exhibit domain knowledge and experience in the Utilities sector. Display excellent communication and collaboration skills. Hold a relevant certification in cloud architecture or a related field. Certifications Required Google Professional Cloud Architect Certified Project Management Professional (PMP)

Position Overview Are you ready to lead and shape the future of cutting-edge products in the Diligent ecosystem? As a Product Manager, you’ll be at the helm of innovation, driving market-leading solutions that empower businesses to excel. You’ll deeply understand our customers’ needs, master the business domain, and align product evolution with corporate strategy—all while delivering exceptional user experiences. In this role, you’ll be a key player in developing relationships with cross-functional teams and internal stakeholders. You will shape the product vision, collaborate on dependencies with other products, and continually gather feedback to refine your roadmap. We are Looking for PM to join us to shape the future of how our customers leverage, AI-powered reporting, visualisations, and data integrations to surface impactful insights across governance, risk, and compliance. What You’ll Do: Shape the Future: Own the entire product lifecycle—from concept to launch—and take pride in delivering game-changing solutions. Customer-Centric Vision: Be the voice of the customer, translating their needs into actionable insights that drive product innovation. Lead Cross-Functional Teams: Collaborate closely with developers, UX designers, and leaders across Customer Success, Sales, and Marketing to bring ideas to life. Create Exceptional Experiences: Deliver seamless, high-quality user experiences across platforms (Mobile, Web, Desktop) for our target personas. Drive Business Impact: Define key success metrics, track performance, and measure outcomes to ensure our products not only meet expectations but exceed them. Stay Ahead of the Curve: Monitor industry trends, perform competitor analysis, and continuously evolve our product roadmap to stay competitive. Prioritise with Precision: Manage a well-organised backlog of user stories, ensuring clarity and alignment with business goals. What We’re Looking For: 2+ years of product management experience in data, integrations, analytics with AI-focussed capabilities Understanding of AI/ML concepts and their application in reporting or business intelligence tools. Familiarity with data platforms, APIs, or reporting tools (e.g., Power BI, Looker, QuickSight, Snowflake). Proven ability to lead cross-functional teams and influence stakeholders at all levels. Solid understanding of writing technical and functional requirements. Excellent communication skills, both written and verbal, with the ability to translate complex ideas into clear and actionable plans. Strong organisational and coordination skills to drive collaboration across multiple teams.

Technical Expertise: Deep knowledge of AI, particularly LLMs, and their integration challenges. Experience with agent-based modelling and an understanding of its practical applications. Proficiency in low-code/no-code platforms and their capabilities. Knowledge of system assurance, QA processes, and testing methodologies. Familiarity with AI-driven response systems and chatbot frameworks. System Architecture Experience: Proven track record in architecting and overseeing the deployment of complex, multi-component platforms. Skills in ensuring seamless integrations between disparate system components. Ability to design scalable and resilient architectures that can handle high workloads and potential system failures. Strategic Vision: Capability to align technical architecture decisions with broader business goals and objectives. Foresight to anticipate technological advancements and adapt the architecture accordingly. Data Management & Security: Strong foundation in data management, storage, and retrieval strategies. Knowledge of cybersecurity best practices and data privacy regulations to ensure the platform's integrity and compliance. UX/UI Sensibility: While not necessarily a designer, the architect should understand the importance of user experience, especially in AI-driven response systems.

Role & responsibilities We are looking for an experienced GenAI Developer to join our team and drive innovation in AI-driven applications. The ideal candidate will work with large language models (LLMs), agentic AI, retrieval-augmented generation (RAG), vector databases, and API development to build intelligent and scalable AI-powered solutions. Develop, fine-tune, and deploy LLM-based applications to enhance AI-driven capabilities. Implement Agentic AI workflows for autonomous decision-making and task execution. Design and optimize RAG pipelines to improve contextual retrieval and knowledge grounding. Work with vector databases (e.g., FAISS, Pinecone, Weaviate, pgvector) for efficient data retrieval and embedding storage. Build and integrate RESTful APIs using FastAPI or similar frameworks to enable seamless AI interactions. Optimize AI models for latency, efficiency, and cost-effectiveness in production environments. Integrate multimodal AI capabilities to process and generate content from various media formats. Embed real-time monitoring and analytics to generate insights and proactive recommendations. Ensure security, privacy, and ethical AI practices in all deployments. Preferred candidate profile Experience with LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.). Hands-on experience in Agentic AI frameworks (LangChain, AutoGPT, CrewAI, Agno (Phidata), etc.). Proficiency in RAG techniques for enhanced AI responses. Expertise in vector databases such as FAISS, Pinecone, ChromaDB, Weaviate, or pgvector. Strong Python programming skills with experience in FastAPI. Knowledge of embedding models (e.g., OpenAI embeddings, Hugging Face, BGE, etc.). Strong understanding of RESTful API integration and development. Perks and benefits

Data Scientist with 5+ years of relevant experience in: Python, SQL, NLP, LLM, GenAI, H2O

Greetings from Futurea4! We are looking for a passionate and experienced Senior Data Scientist to drive innovation in the world of Gen AI, NLP, LLMs , and MLOps . Position : Senior Data Scientist Gen AI | NLP | LLM | MLOps Locations : Bangalore | Pune | Noida | Gurgaon | Hyderabad Experience : 6 to15 Years Joiners Preferred : Immediate or Short Notice Key Responsibilities Design and implement advanced NLP and Gen AI models using cutting-edge LLMs (e.g., GPT, LLaMA, Mistral). Fine-tune and customize LLMs through LoRA , PEFT , and prompt engineering techniques. Develop scalable ML pipelines and ensure smooth deployment via MLOps best practices. Translate business challenges into impactful AI-powered solutions . Monitor and improve model performance for accuracy and scalability. Create documentation and foster cross-functional knowledge sharing. Required Skills Strong hands-on experience in Generative AI , NLP , and LLM development (using frameworks like Hugging Face, spaCy, LangChain). Expert knowledge of Python , TensorFlow/PyTorch , and the ML lifecycle. Deep MLOps know-how: CI/CD, model monitoring, versioning, and deployment workflows. Cloud-native development experience (AWS, Azure, or GCP) and container tools ( Docker , Kubernetes ). Experience with large-scale data handling and data engineering principles. Nice to Have Familiarity with RAG pipelines , vector databases , and advanced prompt tuning. Exposure to multi-modal architectures , transformer models , and open-source LLMs . Publications or community involvement in AI research or development. Apply Today If you're eager to build the future of AI and ready to take on exciting challenges, we want to hear from you.

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. .