5792 Tensorflow Jobs - Page 31

Role : Full stack AI Engineer Exp : 4-12 years. Job Overview We are looking for a skilled Mid-Level AI Engineer with extensive experience in building full-stack AI solutions. The ideal candidate will have a strong foundation in Machine Learning and Deep Learning algorithms, proficient in frameworks like TensorFlow and PyTorch. Expertise in Large Language Models (LLMs) such as OpenAI, Gemini, DeepSeek and other reasoning models. Familiarity with Knowledge Graphs is a plus. Additional qualifications include proficiency in Python frameworks like FastAPI and Django, along with extensive experience on Azure platforms - including App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes is highly desirable. Key Responsibilities Design and implement full-stack AI solutions using a variety of Machine Learning and Deep Learning algorithms. Develop and optimize algorithms for NLP and Computer Vision applications utilizing frameworks such as TensorFlow and PyTorch. Work with Large Language Models (LLMs) such as OpenAI, Gemini, or LLama to create intelligent applications. Leverage Azure platforms (App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning) to enhance application deployment and scalability. Apply algorithms rigorously to solve complex problems in AI, ensuring performance and accuracy in models. Build Python-based applications with frameworks like FastAPI and Django that integrate seamlessly with AI solutions. Collaborate with interdisciplinary teams to gather requirements and translate them into technical specifications. Utilize containerization (Docker) and orchestration (Kubernetes) technologies to optimize deployment workflows and enhance operational efficiency. Stay updated on the latest advancements in algorithms and methodologies in Machine Learning and Deep Learning. Qualifications Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience in developing AI solutions with a solid understanding of Machine Learning and Deep Learning algorithms. Strong expertise in frameworks such as TensorFlow and PyTorch for model development. Demonstrated experience with NLP and Computer Vision applications. Proficient in working with Large Language Models (OpenAI, Gemini, LLama). Extensive experience with Azure platforms, specifically App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning. Strong knowledge of Python frameworks such as FastAPI and Django. Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes) is highly desirable. Excellent problem-solving abilities and capacity to work in a dynamic environment. Required Skills Job Overview : We are looking for a skilled Mid-Level AI Engineer with extensive experience in building full-stack AI solutions. The ideal candidate will have a strong foundation in Machine Learning and Deep Learning algorithms, proficient in frameworks like TensorFlow and PyTorch. Expertise in Large Language Models (LLMs) such as OpenAI, Gemini, DeepSeek and other reasoning models. Familiarity with Knowledge Graphs is a plus. Additional qualifications include proficiency in Python frameworks like FastAPI and Django, along with extensive experience on Azure platformsincluding App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning. Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes is highly desirable. Key Responsibilities : Design and implement full-stack AI solutions using a variety of Machine Learning and Deep Learning algorithms. Develop and optimize algorithms for NLP and Computer Vision applications utilizing frameworks such as TensorFlow and PyTorch. Work with Large Language Models (LLMs) such as OpenAI, Gemini, or LLama to create intelligent applications. Leverage Azure platforms (App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning) to enhance application deployment and scalability. Apply algorithms rigorously to solve complex problems in AI, ensuring performance and accuracy in models. Build Python-based applications with frameworks like FastAPI and Django that integrate seamlessly with AI solutions. Collaborate with interdisciplinary teams to gather requirements and translate them into technical specifications. Utilize containerization (Docker) and orchestration (Kubernetes) technologies to optimize deployment workflows and enhance operational efficiency. Stay updated on the latest advancements in algorithms and methodologies in Machine Learning and Deep Learning. Qualifications : Bachelors or Masters degree in Computer Science, Engineering, or a related field. Proven experience in developing AI solutions with a solid understanding of Machine Learning and Deep Learning algorithms. Strong expertise in frameworks such as TensorFlow and PyTorch for model development. Demonstrated experience with NLP and Computer Vision applications. Proficient in working with Large Language Models (OpenAI, Gemini, LLama). Extensive experience with Azure platforms, specifically App Service, Blob, Cosmos DB, Databricks, and Azure Machine Learning. Strong knowledge of Python frameworks such as FastAPI and Django. Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes) is highly desirable. Excellent problem-solving abilities and capacity to work in a dynamic environment. (ref:hirist.tech)

Job Description The Opportunity: We need brilliant minds who can solve hard problems. We are building a small but mighty AI/ML team that's transforming how financial institutions handle compliance. This isn't about building flashy demos -- we're creating real solutions that keep our customers out of trouble with regulators while saving them countless hours of manual work. What You Will Do Prototype GenAI components including vector search, retrieval-augmented generation, and lightweight LLM fine-tuning, then move promising ideas into production Write clear Python code, test it thoroughly, benchmark against real data, and iterate to improve performance Work in short release cycles: design review → code → deploy → monitor → fix Collaborate with product, DevOps, and domain specialists to translate compliance requirements into working code Working At Facctum We ship compliance tech that banks rely on. Teams are small; decisions move fast; code earns its keep only when it runs in production. Work mode: Hybrid by default (few days from office and work from office on remaining days). Fully onsite or remote considered for the right person. Growth: Mentorship from senior engineers, hands-on exposure to cutting-edge GenAI, and visibility across the entire product lifecycle. Requirements Skills and experience we need: 2-3 years hands-on machine-learning development in Python Solid grasp of data structures, algorithms, and basic statistics Familiarity with a deep-learning toolkit (PyTorch, TensorFlow, or similar) Exposure to LLMs and related tooling (LangChain, LlamaIndex, etc.) and vector databases Comfort with Git and CI/CD basics Nice to have: AWS experience (we host and orchestrate on AWS), but it isn't mandatory check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#9647FD;border-color:#9647FD;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Description Profile Description We’re seeking someone to join our team as (Associate) AI Platform Engineer for pricing model implementation projects required to support and enhance mission critical Credit Risk data infrastructure, as well as to contribute to strategic initiatives. Enterprise Technology Enterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanley’s software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions. Architecture & Modernization Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt, while partnering with app dev to accelerate the adoption of modern capabilities. Software Engineering This is Associate position that develops and maintains software solutions that support business needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on… What you’ll do in the role: Develop tooling and self-service capabilities for deploying AI solutions for the firm. Collaborate with other developers to enhance the developer experience when building and deploying AI applications. Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models. Leverage Kubernetes/OpenShift to develop modern containerized workloads. Leverage container registries like JFrog artifactory, container packaging/configuration management technologies like Helm & Customize, and GitOps deployment methods to orchestrate, manage and deploy these workloads. Integrate with capabilities such as large-scale vector stores for embeddings. Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain. Analyse, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks. Contribute to major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication, service communication, state externalization, container layering strategy and immutability. Ensure AI platform are reliable, scalable, and operational; (e.g. blueprints for upgrade/release strategies (E.g. Blue/Green); logging/monitoring/metrics; automation of system management tasks)Participate in all team’s Agile/ Scrum ceremonies. What you’ll bring to the role: At least 4 years’ relevant experience would generally be expected to find the skills required for this role Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api. Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security. Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift. Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions. Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python. Practitioner of unit testing, performance testing and BDD/acceptance testing. Understanding of OAuth 2.0 protocol for secure authorization. Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex. Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps. Ability to articulate technical concepts effectively to diverse audiences. Strong desire and ability to influence development teams and help them adopt AI. Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations Understanding of deep learning , understanding of Machine Learning frameworks such as TensorFlow or PyTorch. Understanding of Information Security, Secure coding practices. Experience in building cloud and container native applications. Knowledge of DevOps and Agile practices. Excellent communication skills Desired Skills Good knowledge of Microservice based architecture, industry standards, for both public and private cloud. Good understanding of modern Application configuration techniques. Hands on experience with Cloud Application Deployment patterns like Blue/Green. Good understanding of State sharing between scalable cloud components (Kafka, dynamic distributed caching).]Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage. Experience building AI applications, preferably Generative AI and LLM based apps. Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph. Experience working with Generative AI development, embeddings, fine tuning of Generative AI models. Understanding of ModelOps/ ML Ops/ LLM Op. Understanding of SRE techniques. What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Experience : 9+ years. Location : Chennai, Mumbai, Mode : Hybrid (On-site as per Skills : RPA, UiPath, Power Automate , Python & Open-Source AI , .Net Core / SQL. About The Role We are seeking a highly skilled and deeply hands-on Senior Agentic AI Engineer / Technical Lead to architect, develop, and deploy cutting-edge intelligent automation solutions. This pivotal role demands a strong individual contributor who will be at the forefront of transitioning our automation capabilities towards sophisticated agentic AI systems. You will be directly involved in building intelligent agents that can perceive, reason, act, and learn, leveraging UiPath, Power Automate, and the versatility of open-source Python libraries. Responsibilities If you are driven by complex technical challenges, passionate about building advanced AI-driven automations from the ground up, and excel in an environment where your deep technical expertise is paramount, this role is for Responsibilities : Hands-on Solution Architecture & Development : Take full ownership of designing, building, and implementing robust, scalable, and intelligent automation solutions using UiPath, Power Automate, and Python-based AI frameworks. This is a coding-intensive role. Drive Technical Execution : Personally drive the end-to-end technical delivery of sophisticated AI agents and automation workflows, ensuring adherence to best practices, high-quality code, and innovative design. AI/ML Integration Specialist : Directly implement and integrate machine learning models, NLP, computer vision, and other AI techniques (leveraging open-source Python libraries) into automation pipelines to enhance their intelligence and adaptability. Expert-Level Platform Contribution : Serve as a deep subject matter expert for UiPath and Power Automate, while actively developing custom AI components and integrations using Python. Complex System Integration : Personally handle the complex integration of AI agents with various enterprise systems, databases, APIs, and web services. Performance Engineering & Optimization : Conduct performance testing, optimization, and ensure the reliability and scalability of deployed agentic solutions through hands-on tuning and monitoring. Advanced Troubleshooting : Act as the primary technical resource for diagnosing and resolving complex issues related to agent configuration, execution, AI model interactions, and underlying code. Champion Technical Excellence : Set the standard for technical excellence and innovation within projects through your direct contributions, robust design patterns, and high-quality code. Stay Abreast of Advancements : Continuously research, experiment with, and apply emerging trends in agentic AI, LLMs, RPA, and related technologies to your development work. US Healthcare knowledge will be an added Skills & Experience : Overall Experience : 9+ years in IT, with a distinguished track record as a hands-on senior engineer/developer in automation and AI. RPA Expertise : 4+ years of intensive, hands-on experience architecting and developing complex automation solutions using UiPath. Proven ability in intricate bot creation, testing, deployment, including automation on remote desktops and advanced image recognition (IR) techniques. Microsoft Power Platform : Strong, practical experience with Power Automate (Desktop and Cloud flows) for building and managing sophisticated automated workflows. Python for AI/ML : Deep proficiency in Python and its ecosystem of open-source libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Langchain, or similar) for hands-on development of AI/ML models and custom automation components. Agentic AI Implementation : Solid, practical understanding and demonstrated experience in designing and building systems based on agentic AI principles. API and Service Integration Mastery : Extensive experience in personally developing integrations with REST/SOAP APIs, databases (strong SQL proficiency required), and other enterprise applications. Technical Leadership & Influence : Proven ability to drive technical strategy, architect complex solutions, and ensure the highest standards of code quality and engineering excellence through direct, hands-on contribution and technical guidance by example. Advanced Problem-Solving : Exceptional analytical and troubleshooting skills, with a talent for dissecting and solving complex, multi-faceted technical problems in automation Skills & Experience (Added Advantage) : Database Management : Advanced SQL skills and experience with various database systems. Intelligent Document Processing (IDP) : Experience with IDP tools (like UiPath Document Understanding, IQ Bot, or similar) and techniques. Cloud Platforms : Experience with cloud platforms (Azure, AWS, GCP) and their AI/ML services. US Healthcare Domain : Knowledge of the US Healthcare industry and its specific automation challenges. Agile Methodologies : Experience working effectively in Agile/Scrum development environments as a senior technical contributor. LLM Implementation : Practical, hands-on experience in integrating and fine-tuning Large Language Models (LLMs) within automation solutions. (ref:hirist.tech)

Join us as a Senior DevOps Engineer at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. As a part of team of developers, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. To be successful as a Senior DevOps Engineer you should have experience with: Basic/ Essential Qualifications Experience working with containers, Kubernetes and related technologies on Cloud platform(s) – AWS preferably Experience working in setting up the cloud infrastructure using Cloud Formation Experience of DevOps tooling such as Jenkins, Bitbucket, Nexus, Gitlab, Jira etc. Experience in working & configuring wide range of AWS services such as API Gateway, Lambda, ECS, Sagemaker, Bedrock, EC2, RDS etc. Experience on virtual server hosting (EC2), container management (Kubernetes, ECS or EKS) as well as Windows and Linux Operating System Network experience, aware of cloud network patterns such as VPC, network interconnect, subnets, peering, firewalls, etc. Some Other Highly Valued Skills Includes Strong programming experience in Python Experience working with ML libraries e.g., scikit-learn, TensorFlow, PyTorch. Proficient with Jenkins, Bitbucket/Gitlab and Git Workflows Exposure to working within a controlled environment such as banking and financial services Experience on Docker and at least one Docker Container orchestration – Amazon ECS/EKS, Kubernetes. Relevant AWS certification(s) You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

At Barclays, we don’t just adapt to the future – we shape it. Embark on a transformative journey as AI Engineer – Vice President, where you'll spearhead the evolution of our Corporate Data Services function. You will have a strong background in machine learning, deep learning, and artificial intelligence including GenAI, with a passion for solving complex problems and developing innovative AI solutions. Corporate AI Incubator is designed to foster innovation and accelerate the development of AI solutions within the banking sector. By providing access to cutting-edge technologies, mentorship, and resources, the incubator aims to transform ideas into impactful AI-driven products and services. As part of the incubator, you will have the opportunity to collaborate with industry experts and leverage advanced AI tools to address real-world challenges in corporate banking. You will work closely with your colleagues in the wider cloud and middleware organization to bring their products to life as part of a modern developer-focused experience. Additionally, your role requires effective stakeholder management, leadership, and decision-making to support business strategy and risk management. To be successful as a AI Engineer – Vice President, you should have experience with: Provide technical leadership to resolve complex issues. Utilize key technologies such as AWS Bedrock, Databricks Genie, and Snowflake Cortex AI to build and deploy AI solutions. Well versed with some of the industry wide solutions & large learning models (LLMs) such as GTP, Claude, Deepseek, Gemini Hands on experience on Agentic AI development & deployment will be an added advantage Proficiency in programming languages such as Python, R, or Java. Experience with Python and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with NLP techniques Experience of using AI platforms such as Hugging Face Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Working experience with large volumes of data in financial services domain. Design, develop, and implement AI models, algorithms and GenAI models Collaborate with cross-functional teams to integrate AI solutions into products and services Conduct research to advance the state-of-the-art in AI and machine learning. Analyze and interpret complex data sets to drive decision-making and optimize and fine-tune AI models for performance and scalability. Some Highly Valued Skills Include Stay up to date with the latest advancements in AI technologies. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. The location of the role is Pune, IN . Purpose of the role To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives. Accountabilities Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives. Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget. Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement. Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity. Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development. Enforcement of technology standards, facilitate peer reviews, and implement robust testing practices to ensure the delivery of high-quality solutions. Vice President Expectations Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

We are looking for Hands-on Senior AI and Data Scientist with deep experience in time series analysis, signal processing, anomaly detection, or IoT? This is a 100% remote Monday to Friday opportunity. Develop the ecosystem of integrated AI models across our IoT devices Own the technical strategic vision for data science within connected products Collaborate with business stakeholders and cross-functional teams across the organization to identify and prioritize high-impact use cases for AI/ML applications Drive rapid prototyping efforts, focusing on learning from experiments, iterating on solutions Demonstrate innovative and creative thinking to develop novel AI/ML approaches and solutions Partner with product teams in order to embed AI/ML model solutions into physical and digital products Conduct in-depth data analysis and feature engineering to extract valuable insights and improve model performance Identify key insights from large data sources; interpret and communicate insights from data and analysis to product, service, and business managers Continuously monitor and optimize AI/ML models to ensure their accuracy, reliability, and performance in production environments Stay up-to-date with the latest advancements in AI/ML technologies and apply them to drive innovation and maintain a competitive edge Lead projects with both hands-on coding/analysis and thought leadership with a minimum viable product and minimum lovable product mindset leveraging the best technologies and methodologies appropriate for the business need and maturity Proactively identify and communicate the challenges, opportunities, risks, and threats associated with project work to ensure the timely completion of the entire product Qualifications 5+ years of hands-on experience developing and deploying AI/ML models in a production environment 3+ years of experience as a technical lead driving the development of multiple related products, driving the technical strategic vision in collaboration with more junior data scientists Specialist in signal processing, machine learning on IoT devices, and/or anomaly detection within sensor networks Proven track record of delivering high-impact AI/ML projects across multiple projects and organizations Master of machine learning algorithms, deep learning frameworks, time-series modeling, and statistical modeling techniques Fluent in Python and SQL Seasoned in DS python skills and modules: sklearn, pandas, tensorflow, pytorch, numpy, etc. Experience with end-to-end feature development (owning feature definition, roadmap development, and experimentation) Experience distilling informal customer requirements into problem definitions, dealing with ambiguity, and competing objectives Experience with big data technologies (e.g., Snowflake, Google BigQuery) and cloud computing platforms (e.g., AWS, GCP, Azure) Excellent problem-solving skills and ability to think creatively to develop innovative AI/ML solutions Strong communication and collaboration skills to effectively work with cross-functional teams and stakeholders Master's degree in Computer Science, Statistics, Mathematics, Engineering, Fluid Dynamics, or a related quantitative field (we will consider exceptional candidates without advanced degrees)

Need an Architect in AI with implementing machine learning - We are seeking a highly motivated and self-driven AI Experienced Leader to head our AI and Gen AI practice. - The successful candidate will be responsible for designing and implementing AI and Gen AI-based solutions to address customer business problems. Key Responsibilities: AI Solution Consultant: - Understand customer needs and propose AI and Gen AI solutions to address business problems. AI Practice Head: - Research industry advancements in AI and Gen AI to identify practical, differentiating solutions for business problems. - Build and inspire a strong team of Data Scientists to deliver complex AI and Gen AI programs. AI Solution Architect: - Define architecture, design solutions, and implement AI and Gen AI-based solutions for customer programs. - Conduct architecture reviews, design workshops, and code reviews in collaboration with AI Data Scientists and Cloud Engineers. Implementation and Optimization: - Apply statistics, modeling, and machine learning to improve system efficiency and algorithm relevance. - Build scalable Machine Learning solutions and ensure their practical use in production environments. Skills and Qualifications: - Bachelor's or Master's degree in Computer Science, AIML, Data Sciences, or a related field. - MBA will be a plus. - 10+ years of experience in designing and implementing Machine Learning and Deep Learning models. - Proficiency in R, Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, MLlib, and LLM solutions. - Strong problem-solving and analytical skills with the ability to translate business requirements into data science solutions. - Experience in scripting SQL for extracting large data sets and designing ETL flows. - Deep interest in data, metrics, analysis, trends, and a strong understanding of measurement, statistics, and program evaluation. - Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders

Join us as a Senior DevOps Engineer at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. As a part of team of developers, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. To be successful as a Senior DevOps Engineer you should have experience with: Basic/ Essential Qualifications Experience working with containers, Kubernetes and related technologies on Cloud platform(s) – AWS preferably Experience working in setting up the cloud infrastructure using Cloud Formation Experience of DevOps tooling such as Jenkins, Bitbucket, Nexus, Gitlab, Jira etc. Experience in working & configuring wide range of AWS services such as API Gateway, Lambda, ECS, Sagemaker, Bedrock, EC2, RDS etc. Experience on virtual server hosting (EC2), container management (Kubernetes, ECS or EKS) as well as Windows and Linux Operating System Network experience, aware of cloud network patterns such as VPC, network interconnect, subnets, peering, firewalls, etc. Some Other Highly Valued Skills Includes Strong programming experience in Python Experience working with ML libraries e.g., scikit-learn, TensorFlow, PyTorch. Proficient with Jenkins, Bitbucket/Gitlab and Git Workflows Exposure to working within a controlled environment such as banking and financial services Experience on Docker and at least one Docker Container orchestration – Amazon ECS/EKS, Kubernetes. Relevant AWS certification(s) You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Pune. Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window)

Job Description Do you want to be a part of changing healthcare? Oracle is excited to be using our resources, knowledge, and expertise—as well as our successes in other industries—and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it’s deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care. Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you’ll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences. About the Team: As part of the Oracle Health Foundations Organization, you’ll join a high-impact team focused on using machine learning and intelligent automation to improve the performance and reliability of Oracle Health's cloud platforms. We're building systems that detect anomalies, predict incidents, and enable proactive intervention at scale. As a Machine Learning Engineer, you’ll contribute to the design and delivery of production-grade ML models and services that enhance system observability, incident prediction, and product resilience. You’ll work closely with software engineers, site reliability engineers, and product teams to develop, deploy, and improve ML-based solutions in a cloud-native environment. This role offers a strong growth path toward deeper technical ownership and leadership. Responsibilities Responsibilities: Build and deploy machine learning models that detect anomalies, predict incidents, and support automated reliability features. Develop production-ready software and services to integrate ML models with observability and operational pipelines. Contribute to the full ML lifecycle—from data ingestion and model training to validation, deployment, and monitoring—using modern MLOps tools and practices. Collaborate with other engineering and product teams to align ML solutions with business and system requirements. Analyze large-scale telemetry data (logs, metrics, traces) to identify patterns, root causes, and opportunities for improvement. Help maintain and evolve our ML infrastructure, data pipelines, and observability integrations. Stay current with advancements in applied machine learning, particularly time series modeling, anomaly detection, and reliability-focused ML. Requirements: 5+ years of industry experience in software engineering or applied machine learning, with experience deploying ML models in production. Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Solid understanding of the end-to-end ML lifecycle and experience with MLOps practices (model packaging, deployment, monitoring, etc.). Experience working with observability data (e.g., logs, metrics, traces) and time series data. Experience developing APIs, backend services, and working in cloud-native environments (OCI, AWS, GCP, or Azure). Strong knowledge of SQL and exposure to distributed data processing tools (e.g., Spark, BigQuery, Kafka, Flink). Comfortable working on cross-functional teams and contributing to technical discussions and code reviews. Bachelor’s, Master’s, or PhD in Computer Science, Data Science, or a related technical field is preferred. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description Do you want to be a part of changing healthcare? Oracle is excited to be using our resources, knowledge, and expertise—as well as our successes in other industries—and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it’s deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care. Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you’ll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences. About the Team: As part of the Oracle Health Foundations Organization, you’ll join a high-impact team focused on using machine learning and intelligent automation to improve the performance and reliability of Oracle Health's cloud platforms. We're building systems that detect anomalies, predict incidents, and enable proactive intervention at scale. As a Machine Learning Engineer, you’ll contribute to the design and delivery of production-grade ML models and services that enhance system observability, incident prediction, and product resilience. You’ll work closely with software engineers, site reliability engineers, and product teams to develop, deploy, and improve ML-based solutions in a cloud-native environment. This role offers a strong growth path toward deeper technical ownership and leadership. Responsibilities Responsibilities: Build and deploy machine learning models that detect anomalies, predict incidents, and support automated reliability features. Develop production-ready software and services to integrate ML models with observability and operational pipelines. Contribute to the full ML lifecycle—from data ingestion and model training to validation, deployment, and monitoring—using modern MLOps tools and practices. Collaborate with other engineering and product teams to align ML solutions with business and system requirements. Analyze large-scale telemetry data (logs, metrics, traces) to identify patterns, root causes, and opportunities for improvement. Help maintain and evolve our ML infrastructure, data pipelines, and observability integrations. Stay current with advancements in applied machine learning, particularly time series modeling, anomaly detection, and reliability-focused ML. Requirements: 5+ years of industry experience in software engineering or applied machine learning, with experience deploying ML models in production. Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Solid understanding of the end-to-end ML lifecycle and experience with MLOps practices (model packaging, deployment, monitoring, etc.). Experience working with observability data (e.g., logs, metrics, traces) and time series data. Experience developing APIs, backend services, and working in cloud-native environments (OCI, AWS, GCP, or Azure). Strong knowledge of SQL and exposure to distributed data processing tools (e.g., Spark, BigQuery, Kafka, Flink). Comfortable working on cross-functional teams and contributing to technical discussions and code reviews. Bachelor’s, Master’s, or PhD in Computer Science, Data Science, or a related technical field is preferred. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description Do you want to be a part of changing healthcare? Oracle is excited to be using our resources, knowledge, and expertise—as well as our successes in other industries—and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it’s deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care. Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you’ll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences. About the Team: As part of the Oracle Health Foundations Organization, you’ll join a high-impact team focused on using machine learning and intelligent automation to improve the performance and reliability of Oracle Health's cloud platforms. We're building systems that detect anomalies, predict incidents, and enable proactive intervention at scale. As a Machine Learning Engineer, you’ll contribute to the design and delivery of production-grade ML models and services that enhance system observability, incident prediction, and product resilience. You’ll work closely with software engineers, site reliability engineers, and product teams to develop, deploy, and improve ML-based solutions in a cloud-native environment. This role offers a strong growth path toward deeper technical ownership and leadership. Responsibilities Responsibilities: Build and deploy machine learning models that detect anomalies, predict incidents, and support automated reliability features. Develop production-ready software and services to integrate ML models with observability and operational pipelines. Contribute to the full ML lifecycle—from data ingestion and model training to validation, deployment, and monitoring—using modern MLOps tools and practices. Collaborate with other engineering and product teams to align ML solutions with business and system requirements. Analyze large-scale telemetry data (logs, metrics, traces) to identify patterns, root causes, and opportunities for improvement. Help maintain and evolve our ML infrastructure, data pipelines, and observability integrations. Stay current with advancements in applied machine learning, particularly time series modeling, anomaly detection, and reliability-focused ML. Requirements: 5+ years of industry experience in software engineering or applied machine learning, with experience deploying ML models in production. Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Solid understanding of the end-to-end ML lifecycle and experience with MLOps practices (model packaging, deployment, monitoring, etc.). Experience working with observability data (e.g., logs, metrics, traces) and time series data. Experience developing APIs, backend services, and working in cloud-native environments (OCI, AWS, GCP, or Azure). Strong knowledge of SQL and exposure to distributed data processing tools (e.g., Spark, BigQuery, Kafka, Flink). Comfortable working on cross-functional teams and contributing to technical discussions and code reviews. Bachelor’s, Master’s, or PhD in Computer Science, Data Science, or a related technical field is preferred. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description Do you want to be a part of changing healthcare? Oracle is excited to be using our resources, knowledge, and expertise—as well as our successes in other industries—and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it’s deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care. Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you’ll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences. About the Team: As part of the Oracle Health Foundations Organization, you’ll join a high-impact team focused on using machine learning and intelligent automation to improve the performance and reliability of Oracle Health's cloud platforms. We're building systems that detect anomalies, predict incidents, and enable proactive intervention at scale. As a Machine Learning Engineer, you’ll contribute to the design and delivery of production-grade ML models and services that enhance system observability, incident prediction, and product resilience. You’ll work closely with software engineers, site reliability engineers, and product teams to develop, deploy, and improve ML-based solutions in a cloud-native environment. This role offers a strong growth path toward deeper technical ownership and leadership. Responsibilities Responsibilities: Build and deploy machine learning models that detect anomalies, predict incidents, and support automated reliability features. Develop production-ready software and services to integrate ML models with observability and operational pipelines. Contribute to the full ML lifecycle—from data ingestion and model training to validation, deployment, and monitoring—using modern MLOps tools and practices. Collaborate with other engineering and product teams to align ML solutions with business and system requirements. Analyze large-scale telemetry data (logs, metrics, traces) to identify patterns, root causes, and opportunities for improvement. Help maintain and evolve our ML infrastructure, data pipelines, and observability integrations. Stay current with advancements in applied machine learning, particularly time series modeling, anomaly detection, and reliability-focused ML. Requirements: 5+ years of industry experience in software engineering or applied machine learning, with experience deploying ML models in production. Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Solid understanding of the end-to-end ML lifecycle and experience with MLOps practices (model packaging, deployment, monitoring, etc.). Experience working with observability data (e.g., logs, metrics, traces) and time series data. Experience developing APIs, backend services, and working in cloud-native environments (OCI, AWS, GCP, or Azure). Strong knowledge of SQL and exposure to distributed data processing tools (e.g., Spark, BigQuery, Kafka, Flink). Comfortable working on cross-functional teams and contributing to technical discussions and code reviews. Bachelor’s, Master’s, or PhD in Computer Science, Data Science, or a related technical field is preferred. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Job Description Do you want to be a part of changing healthcare? Oracle is excited to be using our resources, knowledge, and expertise—as well as our successes in other industries—and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it’s deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care. Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you’ll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences. About the Team: As part of the Oracle Health Foundations Organization, you’ll join a high-impact team focused on using machine learning and intelligent automation to improve the performance and reliability of Oracle Health's cloud platforms. We're building systems that detect anomalies, predict incidents, and enable proactive intervention at scale. As a Machine Learning Engineer, you’ll contribute to the design and delivery of production-grade ML models and services that enhance system observability, incident prediction, and product resilience. You’ll work closely with software engineers, site reliability engineers, and product teams to develop, deploy, and improve ML-based solutions in a cloud-native environment. This role offers a strong growth path toward deeper technical ownership and leadership. Responsibilities Responsibilities: Build and deploy machine learning models that detect anomalies, predict incidents, and support automated reliability features. Develop production-ready software and services to integrate ML models with observability and operational pipelines. Contribute to the full ML lifecycle—from data ingestion and model training to validation, deployment, and monitoring—using modern MLOps tools and practices. Collaborate with other engineering and product teams to align ML solutions with business and system requirements. Analyze large-scale telemetry data (logs, metrics, traces) to identify patterns, root causes, and opportunities for improvement. Help maintain and evolve our ML infrastructure, data pipelines, and observability integrations. Stay current with advancements in applied machine learning, particularly time series modeling, anomaly detection, and reliability-focused ML. Requirements: 5+ years of industry experience in software engineering or applied machine learning, with experience deploying ML models in production. Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Solid understanding of the end-to-end ML lifecycle and experience with MLOps practices (model packaging, deployment, monitoring, etc.). Experience working with observability data (e.g., logs, metrics, traces) and time series data. Experience developing APIs, backend services, and working in cloud-native environments (OCI, AWS, GCP, or Azure). Strong knowledge of SQL and exposure to distributed data processing tools (e.g., Spark, BigQuery, Kafka, Flink). Comfortable working on cross-functional teams and contributing to technical discussions and code reviews. Bachelor’s, Master’s, or PhD in Computer Science, Data Science, or a related technical field is preferred. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

We are seeking a highly analytical and forward-thinking Senior Data Analyst with 4+ years of experience in data analytics and AI automation. The ideal candidate will play a key role in driving data-driven decisions and optimizing business operations through intelligent automation. You will work closely with cross-functional teams to translate business needs into scalable analytical solutions and AI-powered tools. Key Responsibilities Design, develop, and maintain dashboards, reports, and data visualizations to support strategic initiatives. Conduct advanced statistical analysis, forecasting, and predictive modeling to extract actionable insights. Automate data pipelines, reporting processes, and business workflows using AI and machine learning tools. Collaborate with stakeholders to identify key metrics, KPIs, and data requirements for business growth. Leverage AI/ML models to solve business challenges and streamline manual operations. Develop and maintain documentation for data models, analytics processes, and automation logic. Ensure data quality, consistency, and governance across all analytics initiatives. Mentor junior analysts and contribute to the data team's best practices. Qualifications & Skills Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, or a related field. 4+ years of experience in data analytics, business intelligence, and AI-based automation. Proficiency in SQL, Python (Pandas, NumPy, Scikit-learn), and data visualization tools (e.g., Power BI, Tableau). Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Azure ML, or AutoML platforms). Strong knowledge of ETL processes, data modeling, and database management. Demonstrated ability to automate workflows using AI tools such as RPA (e.g., UiPath, Power Automate) or custom solutions. Excellent problem-solving skills and ability to communicate complex ideas clearly to non-technical stakeholders. Experience working in Agile or cross-functional teams is a plus. Preferred Skills Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native analytics tools. Knowledge of Natural Language Processing (NLP) or Computer Vision applications. Background in business strategy or domain-specific analytics (e.g., finance, marketing, operations). Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹60,000.00 per month Benefits: Paid sick time Paid time off Schedule: Monday to Friday Night shift US shift Ability to commute/relocate: Panchkula, Haryana: Reliably commute or planning to relocate before starting work (Required) Experience: Data Analytics: 4 years (Required) Location: Panchkula, Haryana (Required) Shift availability: Night Shift (Required) Overnight Shift (Required) Work Location: In person

Job Summary We are seeking highly skilled and motivated Data Scientists to join our dynamic team. The ideal candidate will be responsible for designing and implementing data-driven solutions that inform strategic decisions, improve customer experience, and drive business growth. Key Responsibilities Develop, test, and deploy predictive models and machine learning algorithms to solve business problems. Analyze large, complex datasets to extract actionable insights and trends. Collaborate with cross-functional teams (engineering, product, marketing, operations) to understand business requirements and deliver data solutions. Communicate findings and recommendations to stakeholders through visualizations, presentations, and reports. Build and maintain dashboards and analytical tools for ongoing monitoring and reporting. Clean, preprocess, and manage data pipelines for modeling and analytics. Evaluate model performance and continuously improve based on feedback and new data. Stay current with the latest developments in data science, machine learning, and analytics technologies. Requirements Education: Bachelors or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: Professional experience in data science, analytics, or a related field. Technical Skills: Strong programming skills in Python and/or R. Proficiency in SQL for data extraction and manipulation. Experience with machine learning frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus. Knowledge of statistical techniques and their practical applications. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Ability to work independently and manage multiple tasks and projects. Preferred Qualifications Experience with big data technologies (e.g., Spark, Hadoop). Knowledge of A/B testing and experiment design. Exposure to CI/CD practices and version control (e.g., Git). Experience working in an agile development environment.

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What Youll Be Doing As a Engineer 3 - Specialist (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from lead/manager. Building and deploying Statistical/Machine Learning/Deep Learning based models according to business requirements Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques, and storytelling. Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. What were looking for: You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions, and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll Need To Have Bachelor's degree or four or more years of work experience. Advanced Deep Learning Skill expertise. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning, is a plus. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP. Experience in building AI models for telecom businesses. Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations Chennai, India

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND, Chennai,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. You’ll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. About Applied Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. What You’ll Do You will be responsible leading research, design, development and implementation of algorithmic modules. You will perform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains. Your Key Responsibilities Will Be Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, metrology, and object detection. Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product. Algorithm optimization to reduce computational cost and influence hardware requirements. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras, especially in the context of image analysis. Knowledge of GPU programming using CUDA or OpenCL. You will be a great fit if you have Strong background in computer vision, image processing, and DL technology Expertise in C/C++, Python, MATLAB and working experience with Tensor Flow, Pytorch or similar framework Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence. Experience working in Semiconductor industry. Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills. Experience in managing teams, sets organizational priorities and allocates resources. Ph.D. or Master’s in computer science/engineering or similar fields with 5+ years of experience Education Master’s / Research background- Qualification preferred – Image/ Signal Processing, Computer Vison, Deep Learning Years Of Experience 5- 10 Years Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities. Additional Information Time Type: Full time Employee Type Assignee / Regular Travel Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities 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 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

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What Youll Be Doing As an Engineer 3 - Consultant (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from manager. Building and deploying Statistical/Machine Learning models according to business requirements Prior expertise in building and deploying Deep learning models Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. Gathering requirements from business and develop model solution for the same What were looking for: You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll Need To Have Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP Experience in building AI models for telecom businesses Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment. Where youll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Locations - Hyderabad, India

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : ServiceNow IT Service Management Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Job Title: Senior Software Developer (ServiceNow, DevOps, JavaScript, AI, UI Design) Job Summary: We are seeking a highly skilled and forward-thinking Senior Software Developer to join our growing team. The successful candidate will have a strong foundation in ServiceNow development, JavaScript, DevOps, and UI/UX design, with added expertise in AI integration, unit testing, and performance optimization. This role includes leading design initiatives, writing clean, efficient, and scalable code, conducting code reviews, and contributing to automation and AI-powered solutions. Key Responsibilities: Develop and extend ServiceNow applications, including workflows, business rules, UI policies, and integrations. Lead the design and front-end development of intuitive and user-friendly interfaces using modern frameworks. Write efficient, performant, and secure code following industry best practices. Implement comprehensive unit tests and test automation to ensure code quality and reduce regression issues. Apply DevOps practices to streamline development pipelines using tools like Jenkins, Git, Docker, and CI/CD workflows. Conduct peer code reviews, mentor junior developers, and uphold high standards for software design and implementation. Collaborate with product, design, and business teams to translate requirements into technical solutions. Integrate and help build AI/ML-powered features, such as intelligent automation, recommendation engines, or conversational interfaces. Continuously monitor, analyze, and improve application performance and reliability. Stay current with technology trends and contribute to innovation and knowledge sharing. Required Qualifications: Bachelor’s or master’s degree in computer science, Software Engineering, or a related field. 5+ years of professional experience in software development, including: 2+ years of hands-on ServiceNow development Strong proficiency in JavaScript and front-end frameworks (React, Vue, or similar) Experience building and maintaining unit tests using Jest, Mocha, Jasmine, or similar Demonstrated ability to write performant, optimized code Understanding of UI/UX design principles and experience creating accessible and responsive interfaces Familiarity with DevOps tools and practices (CI/CD, version control, containerization) Involvement in AI/ML projects or integrating AI APIs/services into applications Proven ability to lead system and application design discussions, enforce code quality, and perform structured code reviews Strong analytical and problem-solving skills Excellent verbal and written communication skills Preferred Qualifications: ServiceNow certifications (CSA, CAD, or other relevant modules) Experience with REST/SOAP APIs and enterprise integrations Knowledge of AI tools such as OpenAI, TensorFlow, or Azure Cognitive Services Agile/Scrum experience in a cross-functional team environment “Mandatory ServiceNow CAD certification” 15 years full time education

Role & responsibilities: Implement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models. Design and optimize AI prompts for content generation, customer support, and business analytics. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration. Work with marketing, sales, support, and HR teams to identify and implement AI-driven process improvements. Monitor AI outputs for quality, compliance, and relevance. Ensure responsible and ethical AI usage. Preferred candidate profile: Bachelors/Masters in Computer Science, AI/ML, or related field. Strong programming skills in Python; experience with TensorFlow, PyTorch, Transformers, Scikit-learn. Hands-on experience with LLMs, prompt engineering, and model fine-tuning. Skilled in OCR and document parsing tools (e.g., Tesseract OCR, PDFMiner, LayoutLM, Azure Form Recognizer). Experience in workflow automation tools (e.g., Crew AI, LangChain). Knowledge of REST APIs, microservices, and containerization. Analytical mindset with a focus on process improvement. Perks and benefits: Competitive Salary and Professional development opportunities and training. Opportunity to work with cutting-edge technologies in a fast-paced environment. Collaborative and supportive work environment.

Role: AI/ML Lead Engineer Location: Ambattur, Chennai(Onsite) Fulltime Position Job Summary: We are looking for an AI/ML Engineer to Lead, develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Key Responsibilities: Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, feature engineering, and model training. Work with TensorFlow, PyTorch, Scikit-learn, and Keras for model development. Deploy ML models in cloud environments (AWS, Azure, GCP) and work with Docker/Kubernetes for containerization. Perform model evaluation, hyperparameter tuning, and performance optimization . Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions. Stay up to date with the latest advancements in AI/ML and implement best practices. Write clean, scalable, and well-documented code in Python or R. Technical Skills: Programming Languages: Proficiency in languages like Python. Python is particularly popular for developing ML models and AI algorithms due to its simplicity and extensive libraries like NumPy, Pandas, and Scikit-learn. Machine Learning Algorithms: Should have a deep understanding of supervised learning (linear regression, decision trees, SVM), unsupervised learning, and reinforcement learning. Data Management and Analysis: Skills in data cleaning, feature engineering, and data transformation are crucial. Deep Learning: Familiarity with neural networks, CNNs, RNNs, and other architectures is important. Machine Learning Frameworks and Libraries: Experience with TensorFlow, PyTorch, Keras, or Scikit-learn is valuable. Natural Language Processing (NLP): Familiarity with NLP techniques like word2vec, sentiment analysis, and summarization can be beneficial. Cloud Computing: Experience with cloud-based services like AWS SageMaker, Google Cloud AI Platform, or Microsoft Azure Machine Learning. Data Preprocessing: Skills in handling missing data, data normalization, feature scaling, and data transformation. Feature Engineering: Ability to create new features from existing data to improve model performance. Data Visualization: Familiarity with visualization tools like Matplotlib, Seaborn, Plotly, or Tableau. Containerization: Knowledge of containerization tools like Docker and Kubernetes. Databases : Understanding of relational databases (e.g., MySQL) and NoSQL databases (e.g., MongoDB). Data Warehousing: Familiarity with data warehousing concepts and tools like Amazon Redshift or Google BigQuery. Computer Vision: Understanding of computer vision concepts and techniques like object detection, segmentation, and image classification.

Role: Midlevel AI/ML Engineer Location: Ambattur, Chennai(Onsite) Fulltime Position Job Summary: We are looking for an AI/ML Engineer to develop, optimize, and deploy machine learning models for real-world applications. You will work on end-to-end ML pipelines , collaborate with cross-functional teams, and apply AI techniques such as NLP, Computer Vision, and Time-Series Forecasting . This role offers opportunities to work on cutting-edge AI solutions while growing your expertise in model deployment and optimization. Key Responsibilities: Design, build, and optimize machine learning models for various business applications. Develop and maintain ML pipelines , including data preprocessing, feature engineering, and model training. Work with TensorFlow, PyTorch, Scikit-learn, and Keras for model development. Deploy ML models in cloud environments (AWS, Azure, GCP) and work with Docker/Kubernetes for containerization. Perform model evaluation, hyperparameter tuning, and performance optimization . Collaborate with data scientists, engineers, and product teams to deliver AI-driven solutions. Stay up to date with the latest advancements in AI/ML and implement best practices. Write clean, scalable, and well-documented code in Python or R.

Preferred Education**: Graduates from IIT or equivalent premier institutions About the Role: We are in search of a couple of top-notch AI developers to join our team remotely. The role is ideal for someone passionate about building innovative AI-based applications and contributing to cutting-edge technology solutions. The candidate should have a strong background in AI, machine learning, and deep learning, with hands-on experience in building and deploying AI models. Key Responsibilities: 1. Develop, implement, and maintain advanced AI algorithms and models. 2. Collaborate with cross-functional teams to integrate AI solutions into our application. 3. Optimize and fine-tune models for performance, scalability, and efficiency. 4. Continuously research and stay updated with the latest advancements in AI/ML technologies. 5. Write clean, maintainable, and efficient code. 6. Troubleshoot and debug AI models and systems. 7. Participate in peer reviews and contribute to team knowledge sharing. Required Skills: - Strong proficiency in programming languages such as Python, R, or Java. - Hands-on experience with AI/ML libraries and frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn. - Solid understanding of machine learning algorithms, deep learning techniques, and natural language processing. - Knowledge of cloud platforms such as AWS, GCP, or Azure for AI model deployment. - Experience with data preprocessing, feature engineering, and model evaluation metrics. - Strong problem-solving skills and the ability to work independently in a remote setup. - Excellent communication and teamwork skills. Preferred Qualifications: - A degree from IIT or equivalent premier institutions - Experience in developing AI-driven applications, with at least one year of hands-on experience. - Previous exposure to projects related to AI-based apps, computer vision, NLP, or similar fields