4399 Artificial Intelligence Jobs - Page 10

About PureCode AI : PureCode is a front-end developer tool where engineers can use text to describe and generate or customize software user interfaces - (and soon entire projects). Our goal is to build a must use developer tool for front-end engineers to build web software 100x faster! We are headquartered in Austin, TX, USA with engineering offices in Hyderabad, India. This position is for exclusively in office work at our Q City Office in Hyderabad. Responsibilities : - Designing and implementing advanced state-of-the-art AI models, specializing in LLMs, VLMs and MLLMs. - Develop ML models, fine tune and work with stakeholders in finalising champion models. Perform scientific evaluation of NLP/LLM models, come up with new techniques for model validation, evaluation, trust and safety. - Understand how customer business needs are mapped to AI/ML problem and solution involving Algorithms/Models. - Support the process of Translating business problems into ML problems and create ML solutions to produce desired customer business outcomes. - Develop MLOps (Machine Learning Operations) workflows for data preparation, deployment, monitoring and retraining. Create and own cloud native API to deploy ML Models - Craft data warehousing strategy alongwith instrumenting ETL pipelines for maintaining quality data to be used for Model Training. - Design and implement A/B experiments - user segmentation, user classification, and tooling to support A/B experiments. Qualifications : - 3+ years of working experience developing, deploying, tracking and orchestrating scalable ML/AI solutions. - Familiarity with cloud platforms and services such as AWS, Azure, or GCP for deploying and scaling AI solutions. - Knowledge of basic ML stack - Pytorch, tensorflow, sklearn, numpy, pandas, etc. - Familiarity with experiment tracking tools like Weights & Biases, TensorBoard, or ClearML. - Hands on experience with MLOps tools like Mlflow, CometML, Docker, etc. - Hand on experience with workflow orchestration tools like Airflow, Prefect, or Databricks, etc. - Knowledge of API frameworks Django, Flask etc. - Knowledge of web development tools is a plus. - Knowledge of LLMops, langchain framework is a plus

Role : AI Research Engineer - AI Pair Programming About Us : We are developing a cutting-edge AI pair programming extension for VS Code, aimed at revolutionising the way developers write code. Our mission is to enhance developer productivity and code quality through advanced AI assistance. We're seeking an experienced AI Research Engineer to join our innovative team at PureCode AI and help push the boundaries of AI in software development. Position Overview : We are looking for an AI Research Engineer with a strong background in Large Language Models (LLMs) and their applications in code generation and understanding. The ideal candidate will contribute to our research efforts in contextual retrievals, rerankers, and vector databases, with a focus on optimising developer workflows. Key Responsibilities : - Conduct advanced research in AI and machine learning, specifically focusing on LLMs for code generation and comprehension - Implement or optimise state-of-the-art AI models to enhance our AI pair programming capabilities - Develop and refine algorithms for contextual code retrieval, reranking, and efficient use of vector databases - Collaborate with the development team to integrate research findings into our VS Code extension - Contribute to the improvement of developer workflow optimisation through AI-assisted coding - Evaluate and fine-tune models to ensure high-quality code suggestions and analysis - Stay abreast of the latest advancements in AI research and propose innovative applications for our product Qualifications : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field - Minimum of 3 years of experience in AI engineering and research, with a focus on NLP and LLMs - Strong background in machine learning, deep learning, and natural language processing - Expertise in implementing and deploying AI models for code analysis and generation - Experience with contextual retrieval systems, rerankers, and vector databases - Proficiency in Python and familiarity with machine learning frameworks such as PyTorch or TensorFlow - Solid understanding of API development practices and tools, particularly in the context of Generative AI. - Familiarity with VS Code extension development is a plus Required Skills : - Strong problem-solving skills and ability to translate research into practical applications - Excellent programming skills and ability to write clean, efficient code - Good understanding of software engineering principles and best practices - Ability to work effectively in a collaborative team environment - Strong communication skills to explain complex AI concepts to both technical and non-technical stakeholders - Self-motivated with the ability to work independently on research projects Preferred Experience : - Previous work on AI-assisted coding tools or IDE plugins - Contributions to open-source AI or developer tool projects - Experience with large-scale machine learning model deployment and optimisation - Familiarity with MLOps practices and tools What We Offer : - Opportunity to work on cutting-edge AI technology that directly impacts developers worldwide - Collaborative and innovative work environment - Competitive salary and benefits package - Professional development opportunities and support for attending relevant conferences - Chance to publish and present research findings in academic and industry forums Location- Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad

Purpose of the position Deliver public training courses and in-house training solutions to the IT/ ITES sector as per BSI standards of excellence, in order to develop knowledge and skills of delegates. Typical domains (in which BSI trainings are delivered) comprise information security, IT service management, business continuity management, data privacy and risk management. Mentor & qualify new and existing tutors on tutor competencies related to information technology enables services (ITES) sector, with focus on information security, IT service management, business continuity management, data privacy and risk management. Coach new and existing tutors in contemporary learning styles and accelerated learning techniques Key responsibilities and accountabilities Ensure that value is added to customers and their business/organisation through the delivery of BSI training courses (examples of domains mentioned above) Continually enhance the reputation and perception of BSI through excellent delivery of training courses/solutions and day-to-day interactions with customers and other key stakeholders Mentor & qualify new and existing tutors on tutor competencies, learning styles and accelerated learning techniques. Proactively engage with BSI tutors and key stakeholders to ensure continual improvement, in line with the BSI standards of excellence for training delivery Provide feedback to support course development in line with the new course and existing product development process and methodologies Provide advice on the design of training solutions (e.g. classroom training, virtual training, or hybrid modes of training delivery) Key Results Areas Achieve high level of customer satisfaction (9 or above, out of 10) Training course development for various formats (classroom, virtual, hybrid, etc.) Coaching and qualifying new and existing BSI tutors to deliver as per BSI standards of excellence Engage with key clients and propose training solutions in accordance with BSI standards and formats. Manage key client expectations from proposal to delivery. Demonstrate continual professional development in best practices for ITES sector, with focus on information security, service management, business continuity management and data privacy. Disseminate knowledge and skills to BSI India tutors on such new products and practices Customer Focus Able to interpret data and information about the Customer to solve problem, add value and exceed expectations Can be recognised by the Customer as an industry/sector or market expert and provides thought leadership/development in customers industry Able to demonstrate high quality and reliability in delivery Training Operations Delivery Able to demonstrate high levels of organisational skills; ensuring all facilities, materials and equipment is to BSI standard of excellence Can deliver training to ensure compliance and BSI standards of excellence are met at all times Able to communicate effectively with delegates at all levels in order to motivate and engage them for learning. Can proactively deal with issues during training delivery and provide resolution. Demonstrate the ability to make improvements to course content based on customer evaluation feedback and training needs analysis Candidate Specification (minimum skills and experience) Having a minimum experience of 7-8 years in the IT/ ITES industry; worked in IT service operations, with exposure to IT service management, information security, data privacy and business continuity management. Must be a graduate preferably engineer in IT Must be certified lead auditor ISO 27001:2022. Preferred to have knowledge and certification in Cyber Security, Cloud Security, IT Service Management, Data Protection Management and application, Artificial Intelligence. Prior experience of delivering training and working with certification body is advantageous. Where appropriate, a qualified internal or lead auditor in these disciplines. Ability to coherently deliver training courses across the full spectrum of the delegate profile Knowledge of individual learning styles and how to address these through the design and development of training courses through the use of accelerated learning techniques. Proven administrative and organisational skills, with the ability to meet deadlines and manage customer expectations Travel within the country is required. Location- New Delhi,Kolkata,Mumbai,Pune,Chennai,Hyderabad,Bangalore

Purpose of the position Deliver public training courses and in-house training solutions to the IT/ ITES sector as per BSI standards of excellence, in order to develop knowledge and skills of delegates. Typical domains (in which BSI trainings are delivered) comprise information security, IT service management, business continuity management, data privacy and risk management. Mentor & qualify new and existing tutors on tutor competencies related to information technology enables services (ITES) sector, with focus on information security, IT service management, business continuity management, data privacy and risk management. Coach new and existing tutors in contemporary learning styles and accelerated learning techniques Key responsibilities and accountabilities Ensure that value is added to customers and their business/organisation through the delivery of BSI training courses (examples of domains mentioned above) Continually enhance the reputation and perception of BSI through excellent delivery of training courses/solutions and day-to-day interactions with customers and other key stakeholders Mentor & qualify new and existing tutors on tutor competencies, learning styles and accelerated learning techniques. Proactively engage with BSI tutors and key stakeholders to ensure continual improvement, in line with the BSI standards of excellence for training delivery Provide feedback to support course development in line with the new course and existing product development process and methodologies Provide advice on the design of training solutions (e.g. classroom training, virtual training, or hybrid modes of training delivery) Key Results Areas Achieve high level of customer satisfaction (9 or above, out of 10) Training course development for various formats (classroom, virtual, hybrid, etc.) Coaching and qualifying new and existing BSI tutors to deliver as per BSI standards of excellence Engage with key clients and propose training solutions in accordance with BSI standards and formats. Manage key client expectations from proposal to delivery. Demonstrate continual professional development in best practices for ITES sector, with focus on information security, service management, business continuity management and data privacy. Disseminate knowledge and skills to BSI India tutors on such new products and practices Customer Focus Able to interpret data and information about the Customer to solve problem, add value and exceed expectations Can be recognised by the Customer as an industry/sector or market expert and provides thought leadership/development in customers industry Able to demonstrate high quality and reliability in delivery Training Operations Delivery Able to demonstrate high levels of organisational skills; ensuring all facilities, materials and equipment is to BSI standard of excellence Can deliver training to ensure compliance and BSI standards of excellence are met at all times Able to communicate effectively with delegates at all levels in order to motivate and engage them for learning. Can proactively deal with issues during training delivery and provide resolution. Demonstrate the ability to make improvements to course content based on customer evaluation feedback and training needs analysis Candidate Specification (minimum skills and experience) Having a minimum experience of 7-8 years in the IT/ ITES industry; worked in IT service operations, with exposure to IT service management, information security, data privacy and business continuity management. Must be a graduate preferably engineer in IT Must be certified lead auditor ISO 27001:2022. Preferred to have knowledge and certification in Cyber Security, Cloud Security, IT Service Management, Data Protection Management and application, Artificial Intelligence. Prior experience of delivering training and working with certification body is advantageous. Where appropriate, a qualified internal or lead auditor in these disciplines. Ability to coherently deliver training courses across the full spectrum of the delegate profile Knowledge of individual learning styles and how to address these through the design and development of training courses through the use of accelerated learning techniques. Proven administrative and organisational skills, with the ability to meet deadlines and manage customer expectations Travel within the country is required. Location : - Pune/Chennai/Hyderabad/Bangalore

Purpose of the position Deliver public training courses and in-house training solutions to the IT/ ITES sector as per BSI standards of excellence, in order to develop knowledge and skills of delegates. Typical domains (in which BSI trainings are delivered) comprise information security, IT service management, business continuity management, data privacy and risk management. Mentor & qualify new and existing tutors on tutor competencies related to information technology enables services (ITES) sector, with focus on information security, IT service management, business continuity management, data privacy and risk management. Coach new and existing tutors in contemporary learning styles and accelerated learning techniques Key responsibilities and accountabilities Ensure that value is added to customers and their business/organisation through the delivery of BSI training courses (examples of domains mentioned above) Continually enhance the reputation and perception of BSI through excellent delivery of training courses/solutions and day-to-day interactions with customers and other key stakeholders Mentor & qualify new and existing tutors on tutor competencies, learning styles and accelerated learning techniques. Proactively engage with BSI tutors and key stakeholders to ensure continual improvement, in line with the BSI standards of excellence for training delivery Provide feedback to support course development in line with the new course and existing product development process and methodologies Provide advice on the design of training solutions (e.g. classroom training, virtual training, or hybrid modes of training delivery) Key Results Areas Achieve high level of customer satisfaction (9 or above, out of 10) Training course development for various formats (classroom, virtual, hybrid, etc.) Coaching and qualifying new and existing BSI tutors to deliver as per BSI standards of excellence Engage with key clients and propose training solutions in accordance with BSI standards and formats. Manage key client expectations from proposal to delivery. Demonstrate continual professional development in best practices for ITES sector, with focus on information security, service management, business continuity management and data privacy. Disseminate knowledge and skills to BSI India tutors on such new products and practices Customer Focus Able to interpret data and information about the Customer to solve problem, add value and exceed expectations Can be recognised by the Customer as an industry/sector or market expert and provides thought leadership/development in customers industry Able to demonstrate high quality and reliability in delivery Training Operations Delivery Able to demonstrate high levels of organisational skills; ensuring all facilities, materials and equipment is to BSI standard of excellence Can deliver training to ensure compliance and BSI standards of excellence are met at all times Able to communicate effectively with delegates at all levels in order to motivate and engage them for learning. Can proactively deal with issues during training delivery and provide resolution. Demonstrate the ability to make improvements to course content based on customer evaluation feedback and training needs analysis Candidate Specification (minimum skills and experience) Having a minimum experience of 7-8 years in the IT/ ITES industry; worked in IT service operations, with exposure to IT service management, information security, data privacy and business continuity management. Must be a graduate preferably engineer in IT Must be certified lead auditor ISO 27001:2022. Preferred to have knowledge and certification in Cyber Security, Cloud Security, IT Service Management, Data Protection Management and application, Artificial Intelligence. Prior experience of delivering training and working with certification body is advantageous. Where appropriate, a qualified internal or lead auditor in these disciplines. Ability to coherently deliver training courses across the full spectrum of the delegate profile Knowledge of individual learning styles and how to address these through the design and development of training courses through the use of accelerated learning techniques. Proven administrative and organisational skills, with the ability to meet deadlines and manage customer expectations Travel within the country is required. Location: New Delhi/Kolkata/Mumbai/Pune/Chennai/Hyderabad/Bangalore

In this role, you will: Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groups Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinking Translate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutions Provide vision, direction and expertise to leadership on implementing innovative and significant business solutions Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership Required Qualifications: 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: REST based microservice architecture, Database skills, Modernization experience with AI skills. Job Expectations: Define & Drive architecture & design of complex core banking platform. Algin Technical strategies with Business goals Engage with architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture to enable application migration paths to target architecture, for example, cloud readiness, application modernization and data strategy Function as the technical representative for the product during cross-team collaborative efforts and planning Identify and recommend opportunities for driving resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards Interpret, develop, and ensure security, stability, and scalability within core banking applications, as well as identify, manage and mitigate technology and enterprise risk Collaborate and consult with the Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices Collaborate closely with cross-functional teams, including IT and business units, to identify opportunities for AI integration and enhancement. Foster partnerships to ensure alignment of AI initiatives with business goals. Understand stakeholders needs and translate them into technical requirements. Provide technical guidance and mentorship to junior staff, fostering a culture of continuous learning and development. Act as a subject matter expert in AI technologies, offering strategic insights and leadership within the team. Develop training programs and resources to help junior engineers grow their skills. Communicate effectively with stakeholders, including senior leadership, to convey complex technical concepts and the value of AI initiatives. Prepare and present reports, proposals, and technical documentation to support decision-making processes. Articulate the benefits and impact of AI projects to non-technical audiences.

Model Development & Deployment: Design and implement deep learning models using TensorFlow for real-time object detection, image segmentation, and video processing tasks. Computer Vision Expertise: Leverage advanced computer vision techniques, including CNNs, YOLO, Faster R-CNN, and SSD for object detection in images and video. Video Processing: Process and analyze video streams, including motion tracking, behavior analysis, and real-time video object detection using frameworks like OpenCV. Data Preparation: Clean, preprocess, and augment large-scale image/video datasets to improve model accuracy and performance for training. Model Optimization: Optimize machine learning models for real-time performance, focusing on latency reduction and efficient resource utilization. Integration with Systems: Collaborate with cross-functional teams to integrate trained models into production environments, such as edge devices or cloud platforms. Performance Tuning: Use techniques like model pruning, quantization, and edge deployment to enhance model efficiency and scalability. Research & Innovation: Stay up-to-date with cutting-edge research in AI, computer vision, and TensorFlow, and apply the latest advancements to solve complex problems. Collaboration & Code Quality: Work in an agile, collaborative environment while writing clean, maintainable code and documenting the model development process. Required Skills: Proficiency in Python, TensorFlow, OpenCV, machine learning, and deep learning, with experience in object detection and video processing. 1. Tensorflow 2. Computer Vision 3. Video processing 4. Object detection

We are looking for Trainers and Freelancers on Google Cloud Platform (GCP) for Machine Learning & AI Our Services are. Instructor Led Live Training to One to One on Various new technologies. On Job support Corporate Trainings Consulting Services for Full Time & Contract Jobs Currently looking for Trainers on below technology Course: Google Cloud Platform (GCP) for Machine Learning & AI Mode of Training: Corporate Training

Urgent Requirement for Microsoft Copilot studio & Python . Experience:5+ Years Employment Type:C2H 5+ years of experience in developing AI and Machine learning workloads, especially in the field of Natural Language Processing (NLP) Experience in building Generative AI solutions, virtual assistants and chatbots using Azure Open AI or any similar LLMs (eg: GPT 4.0) Experience in designing and building high-performant AI agents and virtual chatbots using MS Copilot Studio. Expertise in Python programming for Data science workloads Expertise in automation and production deployment of NLP and GenAI models using PowerApps. Excellent communication, interpersonal skills, and motivation to work in high performance and rewarding work environments.

AI/ML/GenAI AWS SME Job Description Role Overview: An AWS SME with a Data Science Background is responsible for leveraging Amazon Web Services (AWS) to design, implement, and manage data-driven solutions. This role involves a combination of cloud computing expertise and data science skills to optimize and innovate business processes. Key Responsibilities: Data Analysis and Modelling: Analyzing large datasets to derive actionable insights and building predictive models using AWS services like SageMaker, Bedrock, Textract etc. Cloud Infrastructure Management: Designing, deploying, and maintaining scalable cloud infrastructure on AWS to support data science workflows. Machine Learning Implementation: Developing and deploying machine learning models using AWS ML services. Security and Compliance: Ensuring data security and compliance with industry standards and best practices. Collaboration: Working closely with cross-functional teams, including data engineers, analysts, DevOps and business stakeholders, to deliver data-driven solutions. Performance Optimization: Monitoring and optimizing the performance of data science applications and cloud infrastructure. Documentation and Reporting: Documenting processes, models, and results, and presenting findings to stakeholders. Skills & Qualifications Technical Skills: Proficiency in AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker). Strong programming skills in Python. Experience with AI/ML project life cycle steps. Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn). Familiarity with data pipeline tools (e.g., AWS Glue, Apache Airflow). Excellent communication and collaboration abilities.

Job Overview: The AI Solution Architect and CoE Lead will play a pivotal role in leading the design, development, and implementation of artificial intelligence solutions within the organization. This position will also be responsible for driving the strategy for AI excellence and best practices by establishing and overseeing the AI Centre of Excellence (CoE). The CoE will focus on nurturing AI talent, fostering knowledge sharing, and continuously evolving AI practices across the organization. Key Responsibilities: 1. AI Solution Architecture: Design and Develop AI Solutions: Lead the end-to-end process of designing, developing, and deploying AI solutions tailored to business needs. Technical Leadership: Provide technical leadership to cross-functional teams working on AI-related projects, ensuring high standards in solution design, integration, and deployment. Consulting and Advisory: Work closely with stakeholders to identify business requirements and translate them into AI-powered solutions, including machine learning models, data pipelines, and AI-driven processes. Platform Selection and Integration: Evaluate and select appropriate AI tools, platforms, and technologies to meet business goals. Oversee integration with existing systems, ensuring scalability and efficiency. Optimization and Innovation: Continuously monitor, optimize, and evolve AI solutions, keeping the organization at the forefront of AI advancements. 2. Centre of Excellence (CoE) Management: CoE Strategy Development: Develop and implement a strategy for the AI Centre of Excellence, ensuring alignment with business objectives and AI best practices. Knowledge Sharing and Governance: Establish frameworks for knowledge sharing, training, and governance, ensuring that AI practices are consistent and scalable across the organization. Innovation Culture: Foster a culture of innovation and experimentation, encouraging cross-functional collaboration and new AI research and application. Talent Development: Lead efforts to upskill internal teams by organizing training sessions, workshops, and seminars focused on the latest AI technologies and methodologies. Standardization and Best Practices: Define AI-related standards, processes, and best practices across the organization. Ensure all teams adhere to these guidelines to maintain quality and consistency. 3. Stakeholder Engagement: Cross-Functional Collaboration: Collaborate with business leaders, data scientists, IT teams, and product managers to deliver effective AI solutions. Client-facing Engagement: Engage with clients to understand their needs, demonstrate AI capabilities, and provide thought leadership on how AI can address their challenges. Executive Reporting: Regularly report to senior leadership on the progress of AI initiatives, highlighting key milestones, risks, and opportunities. 4. Research and Development: Emerging Technologies: Stay updated on the latest developments in AI technologies, including deep learning, reinforcement learning, natural language processing (NLP), and computer vision, and evaluate their potential impact on business processes. Proof of Concept (PoC): Lead the development of PoCs and pilot projects to test AI ideas and validate their feasibility before broader implementation. 5. AI Governance and Compliance: Ethical AI: Ensure the responsible and ethical use of AI, taking into consideration issues related to fairness, transparency, privacy, and security. Compliance: Maintain awareness of AI-related regulations and ensure the organization's solutions adhere to legal, ethical, and industry standards. Qualifications : Education: Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI, or a related field. A Ph.D. in AI or related fields is a plus. Experience: 11+ years of experience in AI, machine learning, or data science, with a proven track record of delivering AI solutions. 7+ years of experience in a leadership or architecture role, ideally with some experience in leading a Centre of Excellence or a similar initiative. Hands-on experience with AI frameworks such as TensorFlow, PyTorch, Scikit-learn, and cloud platforms like AWS, Azure, or Google Cloud. Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance AI solutions. Leadership and Communication: Excellent leadership skills with the ability to influence and collaborate with cross-functional teams. Strong presentation and communication skills for engaging stakeholders at all levels. Project Management: Experience managing large, complex projects with diverse teams and tight deadlines. Governance and Best Practices: Deep understanding of AI governance frameworks, industry standards, and ethical guidelines. Certifications (Optional): Certified AI Professional (e.g., Microsoft Certified: Azure AI Engineer, AWS Certified Machine Learning). Certified Solutions Architect (e.g., AWS Solutions Architect, Google Professional Cloud Architect). Preferred Traits: Visionary Thinker: Ability to foresee AI trends and leverage them strategically for business growth. Problem Solver: Strong analytical skills and an innovative mindset to solve complex business problems using AI. Mentor: Passion for mentoring and developing the next generation of AI talent.

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieveRead on. Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose "” a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose "” people "”then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you. UKG is a leader in the HCM space, and is at the forefront of artificial intelligence innovation, dedicated to developing cutting-edge generative AI solutions that transform the HR / HCM industry and enhance user experiences. We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities: Software DevelopmentWrite clean, maintainable, and efficient code or various software applications and systems. GenAI Product DevelopmentParticipate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and ArchitectureParticipate in design reviews with peers and stakeholders Code ReviewReview code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines TestingBuild testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and TroubleshootingTriage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and QualityContribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops ModelUnderstanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. DocumentationProperly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 2+ years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications: Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus. Where we're going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! Disability Accommodation UKGCareers@ukg.com

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieveRead on. Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose "” a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose "” people "”then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you. UKG is a leader in the HCM space, and is at the forefront of artificial intelligence innovation, dedicated to developing cutting-edge generative AI solutions that transform the HR / HCM industry and enhance user experiences. We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Lead Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities: Software DevelopmentWrite clean, maintainable, and efficient code or various software applications and systems. GenAI Product DevelopmentParticipate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and ArchitectureParticipate in design reviews with peers and stakeholders Code ReviewReview code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines TestingBuild testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and TroubleshootingTriage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and QualityContribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops ModelUnderstanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. DocumentationProperly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 4+ years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications: Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus. Where we're going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it's our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! Disability Accommodation UKGCareers@ukg.com

Job Area: Engineering Services Group, Engineering Services Group > Program Management General Summary: Job Overview: Want to join the company that is at forefront of on-device AI device deployment? Are you looking to help manage large scale projects that will bring AI to the mass market? Are you an experienced technical program manager with embedded SW, systems, AI experience, looking to join a rapidly expanding team? If yes, we have opportunity for you. AISW PMO team at Qualcomm is looking to hire Program Manager with large breadth of technical experience and leadership skills who enjoys being a part of a rapidly growing area with applications in Mobile, Automotive, Internet of Things, Wearables, Computing and XR/AR to name just a few. The successful candidate will work in partnership with engineering and product leadership to manage large scale commercial projects in our Artificial Intelligence space. The ideal candidate would be able to leverage their engineering background to proactively lead the planning and execution of cutting-edge software stack from conception to mass commercialization. If you are someone with AI/NN experience in a technical track looking to expand your scope and breadth of responsibility, this job is for you. About The Team AISW team is currently marching towards a new era of possibility with on-device AI. We deliver the Qualcomm AI Stack, a unified software portfolio, built to optimize and deploy AI models quickly across mobile, auto, XR, compute, IoT and cloud platforms.It focuses on On-device AI that fuels a more capable, cost-efficient, reliable, private, secure, and promising path forward. Capable of working in harmony with cloud AI, edge devices deliver a faster, more efficient, and highly optimized AI with computing power you can rely on.To add we have Qualcomms AI Engine that includes dedicated hardware capable of running complex AI use cases at high performance and low power on the device, enhancing privacy and security. With full-stack AI optimization, our AI solutions maintain battery life while taking on big asks.At Qualcomm, program managers are required to be technically proficient in their field(s). Many Program Managers have advanced technical degrees and count on these skills to drive successful projects. We need a highly motivated self-starter that enjoys working in a high energy environment, with the smartest people in the industry. If you enjoy seeing the results of your strong communication and organizational skills leading to market leadership, this job is for you. Key Responsibilities: Drive and deliver overall program alignment and execution across multiple technologies. Understand requirements priority and drive scoping and planning including interdependencies, staffing constraints and schedule optimization across multiple tech teams. Partner with Product Management and Engineering, establish clear Plan of Record commitment and enable prioritization. Establish rigorous execution discipline & communications process: risk management, mitigation, tracking, schedule trends vs baseline, recovery actions, executive reporting. Develop program indicators to manage program health including quality and timelines. Develop and establish strong processes that streamline the development cycle and integrate multiple plans, dependencies, and deliverables effectively. Must have strong technical understanding of the program, be articulate, effectively multi-task, stay on top of all aspects of program. Manage customer and stakeholder expectations, effectively channel customer requirement to internal development teams and drive consensus on development schedule, plan, and processes. Plan, manage and control the Plan of Record (POR) for technology deliverables for AI-based products by ensuring project plans are implemented on schedule, within scope, and budget. Translate the organizational strategy and evolving product roadmaps into successful programs, and drive decisions necessary for program delivery by partnering with program sponsors and organizational leadership. Manage priorities based on organization strategy. Works closely with product management, technology core teams, systems, software, and other leads and program managers to ensure successful and timely delivery of a quality product. Roll-up and reporting regularly to senior management on key product development milestones, metrics, risks, risk mitigation plans, and staffing status. Risk management and disciplined management of information to internal and external key stakeholders. Organize and lead interdepartmental meetings, to set project milestones, define project tasks, establish program policies and processes, and allocate resources. Ensures change control, priority changes, development reviews, and other product development processes are effectively implemented. Enable real-time visibility on project schedules and KPIs to management with dashboards and reports. Must have strong technical understanding of the program, be articulate, effectively multi-task, stay on top of all aspects of program. Manage customer and stakeholder expectations, effectively channel customer requirement to internal development teams and drive consensus on development schedule, plan, and processes. Supports the adoption of processes by applying best practices and identifying and recommending process improvement opportunities within respective programs. Manage Resources, Headcount, and Budget for the AI SW departments. Additional Requirements: Passion about AI technology and its potential impact on the world. Experience with end-to-end product integration Experience managing software products through entire development life cycle. Experience in 3rd party SW Program Management/development Self-starter. Ability to manage, influence, and set the direction of multi-faceted, multi-disciplined teams and programs independently with minimal supervision. Ability to articulate vision and influence decision-making and outcomes both within internal and with external teams through exceptional communication skills. Minimum Qualifications Education: Bachelor's in Computer Engineering/Computer Science/ Electrical Engineering Work Experiences: 10+ years of experience in a combination of Software product development and program management in semiconductor/wireless industry 2+ years of direct experience background in Artificial Intelligence (AI) and Neural Network technology. 2+ years Engineering Lead/ Management experience with good exposure to operating budgets, resources, project financials. 2+ years Program Management experience or related work experience. 2+ years working with operating budgets, resources, and/or project financials. Preferred Qualifications Education: Master's in Computer Engineering/Computer Science/Electrical Engineering/Business Administration Work Experiences: 2+ years experience with program management tools such as dashboards, Gantt charts, etc. 3+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). 2+ years experience working in a large matrixed organization. 7+ years Program Management experience or related work experience. Certifications: Project Management Professional (PMP) - Project Management Institute (PMI)Skills: Agile Scrum Project Management, Microsoft PowerPoint, Microsoft Project, Prepare Budgets, Prepare Presentations Minimum Qualifications: Bachelor's degree in Engineering, Computer Science, or related field. 2+ years of Program Management or related work experience. Preferred Qualifications: 5+ years of Program Management or related work experience. 1+ year of experience working in a large matrixed organization. 1+ year of experience with program management tools such as dashboards, Gantt charts, etc. Principal Duties and Responsibilities: Supports the establishment of program goals and prioritizes deliverables under minimal supervision of Program Management stakeholders. Manages and takes responsibility for multiple small programs/technology with minimal complexity or a single program/technology with moderate complexity by applying up-to-date program management knowledge to meet deadlines. Builds and manages the execution of the Plan of Record (e.g., on time, on budget, within scope) for multiple small programs or a single medium sized program, which includes schedule and resource forecasting, stakeholder identification, method and frequency of communication, scope, and prioritization. Tracks all key metrics pertaining to a program, provides early warning for potential metric deviations and escalates in timely manner when metrics deviate significantly from Plan of Record. Coordinates the work of a small team on assigned tasks with guidance and maintains progress in tracking system. Identifies program issues/risks and creates a risk mitigation plan for multiple small programs or a single medium-sized program. Maintains and updates the risk tracker. Supports team vision and objectives by motivating team. Supports the compliance of processes by following best practices and procedures and providing observations for process improvement. Level of Responsibility: Working under some supervision. Making decisions that are low to moderate in impact; errors may have relatively minor financial impact or effect on projects, operations, or customer relationships; errors may require involvement beyond immediate work group to correct. Using verbal and written communication skills to convey information that may be somewhat complex to others who may have limited knowledge of the subject in question. May require basic negotiation and influence, cooperation, tact, and diplomacy, etc. Completing tasks with multiple steps that can be performed in various orders; some planning and prioritization must occur to complete the tasks effectively; mistakes may result in some rework. Exercising creativity to draft original documents, imagery, or work products within established guidelines. Using deductive and inductive problem solving; multiple approaches may be taken/necessary to solve the problem; often information is missing or incomplete; intermediate data analysis/interpretation skills may be required. The responsibilities of this role do not include: Financial accountability (e.g., does not involve budgeting responsibility). Influence over key organizational decisions. Role in strategic planning. You may e-mail or call Qualcomm's toll-free number found . To all Staffing and Recruiting Agencies :

We are seeking a skilled Solution Architect with extensive experience in .NET, Angular/React, and full-stack development, complemented by domain knowledge in manufacturing. This role will focus on designing, implementing, and scaling robust technology solutions aligned with business objectives, with opportunities to cross-skill in artificial intelligence (AI). This position also requires strong people management skills to lead cross-functional teams effectively and ensure successful project delivery. Key Responsibilities: Solution Architecture Design and Implementation: Define and document architecture for scalable, secure, and high-performing solutions, particularly within manufacturing systems. Ensure that solutions align with business goals, incorporating best practices and cutting-edge technologies. Technical Guidance and Cross-Skilling in AI: Provide technical expertise in .NET, Angular/React, and full-stack frameworks, supporting teams with in-depth guidance. Develop proficiency in AI and machine learning technologies, applying them to manufacturing use cases and enhancing solution capabilities. Requirements Gathering and Analysis: Collaborate with stakeholders to gather, analyze, and prioritize requirements, ensuring that solutions meet end-user needs and business objectives. Technology Evaluation and Selection: Assess and select appropriate technologies and platforms based on performance, compatibility, and cost, ensuring they align with project goals. Ensuring Solution Performance, Scalability, and Security: Implement strategies to maintain high standards in solution performance, scalability, and security, addressing potential risks and vulnerabilities proactively. Risk Management and Continuous Improvement: Identify, document, and mitigate project risks, maintaining a commitment to quality and continuous improvement throughout the solution lifecycle. People and Project Management: Lead and mentor cross-functional teams, fostering collaboration between developers, project managers, and business analysts. Ensure effective communication across teams, managing project expectations, timelines, and deliverables efficiently. Key Skills and Qualifications: Technical Expertise: Proficiency in .NET, Angular/React, and full-stack development; experience with AI and machine learning is a plus. Manufacturing Domain Experience: Familiarity with manufacturing processes and requirements, ensuring solutions are tailored to industry needs. Analytical and Problem-Solving Skills: Strong analytical abilities to tackle complex technical challenges and deliver innovative solutions. Leadership and People Management: Ability to lead and inspire teams, manage cross-functional collaboration, and drive project success. Strong Communication Skills: Proven capability to communicate effectively with technical and non-technical stakeholders Technical Expertise: Proficiency in .NET, Angular/React, and full-stack development; experience with AI and machine learning is a plus. Manufacturing Domain Experience: Familiarity with manufacturing processes and requirements, ensuring solutions are tailored to industry needs. Analytical and Problem-Solving Skills: Strong analytical abilities to tackle complex technical challenges and deliver innovative solutions. Leadership and People Management: Ability to lead and inspire teams, manage cross-functional collaboration, and drive project success. Strong Communication Skills: Proven capability to communicate effectively with technical and non-technical stakeholders

You will be part of the Mobile Networks Radio Access Network Research & Development 5G Level 2 Software development team and responsible for User Plane Level 2 software development by specifying, developing, maintaining and testing Level 2 features and Software components in 5G technologies for Mobile Networks Radio Access Network products. In addition, you are expected to have expert programming skills with good hands-on experience in C++ programming and continuous focus for improved quality and operational excellence. You should have: Bachelor's degree or equivalent practical experience from 3 to 7 years Expertise in 5G User plane development Development experience in C/ C++ It would be nice if you also had: Good interpersonal skills and capability to work seamlessly in multi-site environment Ability to manage complex relationships Good analytical skills, architecture and design mindset. Familiar with "Artificial Intelligence/Machine Language" concepts/algorithms Responsible for Software design and development as part of Software teams in 5G Level 2 development Participate in reviews/inspection, workshop, technical task force and research groups in daily work. Fault analysis and correction of internal and customer issue Be familiar with software component level test process, usage of test tools and test equipments. Good debugging and problem solving ability (crash analysis, scenario based log analysis using interface logs like wireshark etc) Familiar with Software Version Handling. Real time Operating System experience.

As a Technical Specialist, you will lead and contribute to the development of medium-to-high complexity features, ensuring well-structured design specifications and process improvements. You will support peers, drive technical discussions, and resolve challenges within your area of expertise. Strong hands-on experience in React, Core Java, JDBC, Spring, Hibernate, and Kafka is required, along with a solid understanding of data structures. Proficiency in Oracle databases, Unix/Linux environments, and Agile methodologies is essential, while familiarity with PostgreSQL, Apache Pinot, AI/ML, analytics, and network management (L2 layer domain) is preferred. You will own small to medium features, enhancing solutions and ensuring high-quality software development. You Have: Bachelor's degree with 3 to 5 years of experience. Expertise in React, Core Java, and JDBC. Experience with Spring and/or Hibernate frameworks is required. Strong understanding and practical application of data structures are necessary. Working knowledge of Kafka is essential. It would be nice if you also had: Familiarity with Oracle databases and PostgreSQL databases is preferred. Proficiency in Unix/Linux environments is preferred. Experience in AI/ML and analytics with Agile methodologies. L2 layer domain knowledge is advantageous. Lead and perform development activities for medium- to high-complexity features. Create design specifications for basic, small-scope, or less complex features. Support peers in completing tasks within their own area(s) of expertise. Lead technical discussions with peers to resolve identified issues within their area(s) of expertise. Improve existing processes and solutions. Own small- to medium-sized features.

As a Principal Technical Specialist, you will lead teams in technical discussions, architecture strategy, and system design for high-performance applications. You will collaborate with architects and developers to define workflows, interfaces, and domain models, leveraging SQL and NoSQL databases. Your role requires a hands-on approach, strong communication skills, and the ability to translate complex technical concepts into actionable insights. You have: Bachelors degree in Engineering with 12 to 15 years of relevant work experience. Experience with architectural patterns and programming languages such as Java, Python/Shell, and Golang. Familiarity with frameworks like Spring, Guice, or Micronaut, and libraries such as Pandas, Keras, Pytorch, Scipy, and Numpy. Experience with Kafka, Spark, and databases (SQLPostgres, Oracle; NoSQLElastic, Prometheus, Mongo, Cassandra, Redis, and Pinot). It would be nice if you also had: Experience in OLTP/real-time system management in enterprise software. Experience in both large-scale and small-scale development, with the ability to model domain-specific systems. Expertise in data engineering, statistical analytics, and AI/ML techniques (AI experience is a plus). Knowledge of NMS/EMS for the telecom domain, including Network Operational Lifecycle and Network Planning. Lead and Guide the team in technical discussions. Expertise in Java, Python/Shell, and frameworks like Spring, Kafka, and AI/ML libraries will drive innovation in telecom network management and real-time enterprise software. Analyze and decompose requirements. Work on long lead items and define architecture strategy for the application. Work with architects and developers in other applications and define interfaces and workflows. With a strong foundation in statistical analytics, data engineering and AI/ML. Communicate and present to internal and external audiences.

As an Associate Consultant in the Cloud & Automation domain, you will help telecom clients automate cloud operations using AI and industry best practices. You will analyze requirements, design cloud automation solutions, and develop technical documentation. Collaborating with cross-functional teams, you will support solution delivery, cloud lifecycle management, and operations automation while staying ahead of industry trends to drive innovation. You Have: Bachelor's degree in Computer Science, Engineering, or a related field (preferred) with 5+ years of experience in telecom Cloud automation or a related role. In-depth knowledge of cloud lifecycle management (CI/CD, GIT, Repo) and skilled in the latest AI advances in telecom, especially in Cloud LCM and Operations automation. Strong understanding of telecommunications network architecture, technologies, and domain knowledge in Telecom Core networks. Familiar with industry standards and frameworks (TM Forum Open APIs, eTOM). It would be nice if you also had: Proficient in open-source tools used in Cloud lifecycle management automation, with excellent analytical and problem-solving skills. Effective communication and collaboration skills, with the ability to work independently and as part of a team. Analyze client requirements and identify opportunities for improvement within their cloud automation landscape. Design and implement solutions that leverage industry best practices and standards (TM Forum, ETSI, 3GPP). Develop technical documentation, including requirement specifications, architecture diagrams, high-level designs (HLDs), and low-level designs (LLDs). Work closely with cross-functional teams (development, operations, sales) to ensure successful project delivery. Stay up-to-date on the latest trends and innovations in the telecom automation domain, including operations automation. Provide ongoing support to clients after solution implementation.

Basic understanding of machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face. Knowledge of neural network architectures, particularly in areas like Transformers and basic deep learning models. Familiarity with Python programming and essential ML libraries (NumPy, Pandas, Scikit-learn). Exposure to NLP (Natural Language Processing) concepts and basic text processing tasks. Some experience with cloud platforms (AWS, GCP, or Azure) for deploying simple AI models. Understanding of basic databases and their integration with AI systems (NoSQL or SQL databases). Soft Skills: Strong eagerness to learn and adapt to new technologies in the AI and machine learning field. Ability to work under guidance and collaborate within a team environment. Good problem-solving abilities and analytical thinking. Effective communication skills to discuss technical issues and progress with the team. Education and Experience: Bachelor’s degree in computer science, Data Science, Artificial Intelligence, or related fields. 2-4 years of experience in machine learning, AI, or related areas (internships or academic projects are a plus). Preferred Skills (Nice-to-Have): Exposure to basic machine learning deployment tools or practices. Familiarity with any vector databases (ChromaDB, Pinecone, Weaviate, Milvus, FAISS) or graph databases (Neo4j, TigerGraph). Interest in generative AI or graph-based AI solutions. Involvement in open-source projects or personal contributions to machine learning communities. Understanding of ethical AI principles or data privacy basics. Role SummaryAs a Junior Machine Learning Developer, you will be part of a dynamic team working on cutting-edge AI and machine learning solutions. This role offers an exciting opportunity for a motivated individual to learn and grow their skills in a fast-paced, collaborative environment. You will assist senior developers in developing, testing, and deploying AI models, while gaining hands-on experience with machine learning frameworks and real-world AI applications.

The AI/Data Engineer will be responsible for designing, implementing, and maintaining scalable data solutions. This role will involve working with various data tools and technologies to ensure efficient data processing, integration, and visualization. Key Responsibilities: Develop and maintain data pipelines and ETL processes to ingest and transform data from multiple sources. Design, implement, and manage data models and databases using SQL. Utilize Python for data manipulation, analysis, and automation tasks. Administer and automate processes on Linux systems using shell scripting and tools like Putty. Schedule and monitor jobs using Control-M or similar scheduling tools. Create interactive dashboards and reports using Tableau and Power BI to support data-driven decision-making. Collaborate with data scientists and analysts to support AI/ML model deployment and integration. Ensure data quality, integrity, and security across all data processes. Utilize version control software, such as Git and Bitbucket, to manage and track code changes effectively. Qualifications: Bachelor’s degree in computer science, Information Technology, or a related field. At least 3 years of proven experience as a Data Engineer, AI Engineer, or similar role. Proficiency in Python and SQL.

Project description Our client, one of the leading Agriculture Companies, is modernising their landscape and adopting AI and innovations in their process. As a software engineer you will join a team of professionals working on Organisation R&D and help to build organisation services on next level Responsibilities Creation of PoCs and presentation of them to business Development of innovative solutions based on AI models Adoption of LLM models in application landscape Development of new functionality in R&D applications Code review Adoption of best process practices Skills Must have Advanced knowledge in Python Knowledge of AI frameworks Advanced Knowledge at least in one LLM Data Science Nice to have Knowledge of Multiple LLMs and their adoption in commercial projects Other Languages EnglishC1 Advanced Seniority Senior

Project description Service Control own service management process definition, standardization and implementation, As an IT Change Enablement Expert, you will also be driving the adaptation of the Change Enablement process to align to the Continuous Integration and Continuous Delivery requirements. Also, you will have the opportunity to liaise with experts to align the Change Enablement process to the new automation concepts. Responsibilities Develop Change Enablement digital strategy processes with key delivery areas of continuous integration / continuous delivery, devops, automation and data analytics evolution Manage and deliver the day to day change enablement workflow tasks with the team such asreviews, approvals ensuring risk controls are adhered to. Prepare deep dive data analytics and change reporting leading into relevant Governance meetings Engage and collaborate with the relevant Release Managers, Engineering, Operational Risk and Audit teams and drive delivery of tasks in the context of Change Enablement. Proactively identify operational readiness and change enablement process improvement opportunities. Skills Must have Experience in IT Change Enablement/Change Management for large organizations ITIL 3 or 4 experience and proficient with Microsoft suite of tools A thorough understanding of risks involved in the System Delivery Lifecycle (SDLC) and change environments Knowledge of the Continuous Integration and Continuous Delivery concepts and toolsets such as ServiceNow, Gitlab Familiarity with devops, agile methodologies and ways of working Strong analytical, reporting and data manipulation skills Attention to detail in all tasks, particularly in identifying gaps in operational processes areas Programming and/or automation skills (irrespective of toolset / technology) An enthusiastic and dynamic team player who is able to integrate and work successfully in a global team An excellent communicator, with strong interpersonal and stakeholder management skills Quick to produce accurate, concise information to tight deadlines, and to present that information professionally and in the right way to the required audience Excellent team player with a "can-do" attitude A balance of engineering and service mindset Experience of ServiceNow and M365 suite tooling Nice to have DevOps foundation certified is nice to have Experience of Gitlab CI/CD, AI tooling (CoPilot etc) and reporting platforms e.g PowerBi would be a benefit but not essential Other Languages EnglishC1 Advanced Seniority Senior

Project description The WMI Core stream provides Core Banking capabilities across WM International locations, and works towards integration and synergies across WMI locations, driving capability-driven and modular platform strategy for Core Banking. You'll be working in the WMI Core Technology team in one of our locations (Hyderabad) as per your eligibility and role requirements. Together as a team, we provide solutions to unique business/market requirements. Responsibilities As a Python Developer, you will be responsible for designing, developing, and maintaining Python-based applications and services. You will collaborate with cross-functional teams to deliver high-quality software solutions that meet the needs of our business divisions. Your role will involve: Developing and maintaining Python applications and services. Collaborating with product managers, designers, and other developers to create efficient and scalable solutions. Writing clean, maintainable, and efficient code. Participating in code reviews and providing constructive feedback to peers. Troubleshooting and debugging issues across the stack. Ensuring the performance, quality, and responsiveness of applications. Staying up-to-date with emerging technologies and industry trends. Skills Must have Proven experience of more than 5 years as a Python Developer or similar role. Proficiency in Python and its frameworks such as Django or Flask. Strong knowledge of back-end technologies and RESTful APIs. Experience in Pandas, and knowledge of AI/ML libraries like TensorFlow, PyTorch, etc. Experience of working on Kubernetes / OpenShift, Dockers, Cloud Native frameworks. Experience with database technologies such as SQL, NoSQL, and ORM frameworks. Familiarity with version control systems like Git. Familiarity with Linux and Windows Operating Systems. Knowledge of Shell scripting (Bash for Linux and PowerShell for Windows) will be advantageous. Understanding of Agile methodologies and DevOps practices. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work independently and as part of a team. A degree in Computer Science, Engineering, or a related field is preferred. Nice to have Experience in Agile Framework Other Languages EnglishC2 Proficient Seniority Senior

Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Job Location : Delhi NCR, India. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter.