141 Model Design Jobs in Bangalore

Job Title: Mechanical Engineer R&D (Medical Devices) Location: Bangalore Experience: 2 to 4 years Salary: 5 to 10 LPA Industry: Medical Technology / Healthcare Devices Functional Area: Research & Development / Product Design & Engineering About the Role: We are seeking a highly motivated Mechanical Engineer to join the R&D team of a global medical technology solutions provider. The role involves contributing to the end-to-end product design and development lifecycle, from concept to production, for electro-mechanical medical devices and related products. Key Responsibilities: Participate in concept design, planning, development, and execution stages of new products. Analyze design requirements and develop innovative mechanical solutions. Collaborate with cross-functional teams Industrial Design, Electrical, Marketing, and Procurement. Research design options and conduct feasibility studies. Create detailed 3D models, assemblies, and 2D drawings using SolidWorks. Perform design calculations, GD&T, tolerance stack-up, and material selection. Conduct and document design reviews, DFMEA, simulations, and verification activities. Prototype, test, and validate mechanical components and assemblies. Support production, pilot builds, and manufacturing handover. Ensure compliance with engineering standards, safety, and regulatory requirements. Requirements: Education: Bachelors or Masters degree in Mechanical Engineering or Product Design (Mechanical). Experience: 2 to 4 years in product design & development, preferably in electro-mechanical or medical devices. Technical Competencies: Strong in plastic injection molding, sheet metal design, and electro-mechanical assemblies. Experience in GD&T, tolerance analysis, DFMEA, and thermal management. Familiarity with SolidWorks or equivalent CAD software. Knowledge of material selection, finishing processes, and manufacturing techniques. Exposure to medical device standards (ISO 13485, MDD) is a plus. Behavioral Competencies: Strong analytical and problem-solving skills. Self-driven, detail-oriented, and collaborative. Excellent communication and organization skills. Good to Have: Experience with medical device development and regulatory environments (QMS, Design Controls). Exposure to prototyping, testing, and DFM (Design for Manufacturability).

Job Title: Gen AI + Python Developer Experience: 6+ Years Budget: 2830 LPA Notice Period: Immediate Joiners Preferred Location: Pan India (Remote / Hybrid options available) Job Description: We are seeking an experienced Gen AI + Python Developer with strong expertise in Python and hands-on exposure to Generative AI technologies. The ideal candidate will play a key role in designing, developing, and deploying AI-driven solutions leveraging LLMs, transformers, and prompt engineering. Key Responsibilities: Develop and maintain scalable Python-based applications and services. Work with microservices architecture and API integrations. Build, fine-tune, and deploy Generative AI models (LLMs, Transformers, etc.). Collaborate with cross-functional teams to integrate AI solutions into products. Optimize code performance and ensure best practices in development. Contribute to prompt engineering and chatbot development when required. Required Skills & Experience: 6+ years of experience in software development using Python. Solid understanding of OOP concepts and design principles. Experience with Generative AI, LLMs, Transformers, or Prompt Engineering. Experience in Microservices and API Integrations (REST, Flask, FastAPI). Exposure to Chatbot frameworks such as Microsoft Bot Framework, Rasa, or Dialogflow (preferred). Familiarity with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes). Strong problem-solving abilities, analytical thinking, and attention to detail. Excellent communication and teamwork skills.

Job Summary: The Lead Tester for AML (Anti-Money Laundering) Model Testing is responsible for overseeing the design, execution, and management of model testing activities focused on Actimize AML systems especially Suspicious Activity Monitoring (SAM). This role ensures AML models are accurate, robust, compliant with regulatory standards (such as BSA/AML), and effectively detect suspicious activities.  Skills:   6+ years of experience in software quality assurance or testing, with at least 3+ years focused on financial     crime or AML systems.   Prior experience in performing Model testing for Actimize's Suspicious Activity Monitoring (SAM) module   Strong understanding of AML concepts, transaction monitoring, model risk management, and regulatory frameworks (e.g.,     FFIEC, OCC, FATF).   Hands-on experience testing machine learning/statistical models preferred; experience with relevant tools (e.g., SQL,       Python, SAS, R).   Solid knowledge of SDLC, model lifecycle, and testing methodologies.   Strong analytical, problem-solving, and communication skills.   Experience in leading and mentoring testing teams.  

Role Overview: As a Software Engineer (SWE) Manager at Google, your role extends beyond technical expertise to providing leadership for major projects and managing a team of engineers. Your responsibilities include optimizing code, guiding engineers to optimize theirs, managing project goals, contributing to product strategy, and facilitating team development. The work of SWE teams spans various areas such as information retrieval, artificial intelligence, system design, networking, and more. Operating at scale and speed, you play a crucial role in guiding exceptional software engineers towards success. Key Responsibilities: - Set and communicate team priorities aligned with organizational goals, ensuring strategy coherence across teams. - Establish clear expectations with team members based on their roles, provide regular feedback, and support their performance and development. - Develop mid-term technical vision and roadmap for your team(s), evolving it to meet future requirements and infrastructure needs. - Design, guide, and evaluate system designs within your area, and write code to solve complex problems. - Review code developed by other engineers, offer feedback to ensure best practices, accuracy, and efficiency. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 5 years of software development experience in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). - 3 years of experience in a technical leadership role, overseeing strategic projects, with 2 years in people management or team leadership role. - Master's degree or PhD in Computer Science or related technical field (preferred). - 8 years of software development experience in one or more programming languages (e.g., Python, C, C++, Java, JavaScript) (preferred). - 3 years of experience working in a complex, matrixed organization (preferred). Role Overview: As a Software Engineer (SWE) Manager at Google, your role extends beyond technical expertise to providing leadership for major projects and managing a team of engineers. Your responsibilities include optimizing code, guiding engineers to optimize theirs, managing project goals, contributing to product strategy, and facilitating team development. The work of SWE teams spans various areas such as information retrieval, artificial intelligence, system design, networking, and more. Operating at scale and speed, you play a crucial role in guiding exceptional software engineers towards success. Key Responsibilities: - Set and communicate team priorities aligned with organizational goals, ensuring strategy coherence across teams. - Establish clear expectations with team members based on their roles, provide regular feedback, and support their performance and development. - Develop mid-term technical vision and roadmap for your team(s), evolving it to meet future requirements and infrastructure needs. - Design, guide, and evaluate system designs within your area, and write code to solve complex problems. - Review code developed by other engineers, offer feedback to ensure best practices, accuracy, and efficiency. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 5 years of software development experience in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). - 3 years of experience in a technical leadership role, overseeing strategic projects, with 2 years in people management or team leadership role. - Master's degree or PhD in Computer Science or related technical field (preferred). - 8 years of software development experience in one or more programming languages (e.g., Python, C, C++, Java, JavaScript) (preferred). - 3 years of experience working in a complex, matrixed organization (preferred).

Role Overview: As a Software Engineering Manager at Google, your role goes beyond software development. You will provide technical leadership to major projects and manage a team of engineers. Your responsibilities include optimizing code, overseeing project goals, contributing to product strategy, and guiding the team in areas such as information retrieval, artificial intelligence, and large-scale system design. Key Responsibilities: - Set and communicate team priorities aligned with organizational goals - Define clear expectations for individuals based on their roles and provide regular feedback and coaching - Develop mid-term technical vision and roadmap for your team(s) - Design and review systems designs within the broader area - Write product or system development code to solve complex problems - Review code developed by other engineers and ensure best practices are followed Qualifications Required: - Bachelor's degree in Computer Science or equivalent practical experience - 5 years of experience in software development with expertise in programming languages like Python, C++, Java - 3 years of experience in a technical leadership role, with 2 years of experience in people management - Master's degree or PhD in Computer Science is preferred - 8 years of experience in software development with proficiency in multiple programming languages - 3 years of experience working in a complex, matrixed organization,

In this role at PwC, you will be part of the data and analytics engineering team, focusing on utilizing advanced technologies to create robust data solutions for clients. Your responsibilities will include transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. Specifically, in data engineering, you will design and build data infrastructure and systems to facilitate efficient data processing and analysis. Your role will involve developing and implementing data pipelines, data integration, and data transformation solutions. Key Responsibilities: - Design and build data infrastructure and systems for efficient data processing and analysis. - Develop and implement data pipelines, data integration, and data transformation solutions. Qualifications Required: - BE / B Tech / MCA / M Tech - Certified Software Quality Analyst (CSQA), AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Professional Machine Learning Engineer At PwC AC, as an AI Solution QA, you will lead quality assurance practices for AI solutions to ensure they meet high-quality standards and deliver superior value to clients. Your tasks will involve defining and implementing AI-specific QA standards and methodologies, leading a team of QA professionals, developing comprehensive testing frameworks for AI and Machine Learning models, and collaborating with various stakeholders to integrate QA practices into the development lifecycle. Key Responsibilities: - Define, implement, and manage AI-specific QA standards and methodologies. - Lead a team of QA professionals to ensure rigorous testing of AI applications, models, and integrations. - Develop comprehensive testing frameworks for AI and Machine Learning models. - Collaborate with AI architects, developers, data scientists, and stakeholders to integrate QA practices. - Manage risk assessment processes and oversee testing activities. - Provide strategic oversight to ensure compliance with standards and regulatory requirements. - Mentor QA team members, facilitating professional growth. Preferred Knowledge: - Minimum 10-12 years of experience in software QA/testing with at least 3-5 years in AI/ML quality assurance. - Strong understanding of AI/ML concepts, model evaluation, testing techniques, and quality metrics. - Experience with AI and ML tools such as TensorFlow, PyTorch, AWS SageMaker, Azure ML. - Excellent communication, stakeholder management, and problem-solving skills. Additional Company Details: PricewaterhouseCoopers Acceleration Center (PwC AC) is an extension of PwC's global delivery capabilities, providing high-quality technology services for projects based in the United States and global clients. The center focuses on software development, ERP programming, application integration, and support services. In this role at PwC, you will be part of the data and analytics engineering team, focusing on utilizing advanced technologies to create robust data solutions for clients. Your responsibilities will include transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. Specifically, in data engineering, you will design and build data infrastructure and systems to facilitate efficient data processing and analysis. Your role will involve developing and implementing data pipelines, data integration, and data transformation solutions. Key Responsibilities: - Design and build data infrastructure and systems for efficient data processing and analysis. - Develop and implement data pipelines, data integration, and data transformation solutions. Qualifications Required: - BE / B Tech / MCA / M Tech - Certified Software Quality Analyst (CSQA), AWS Certified Machine Learning Specialty, Azure AI Engineer Associate, Google Professional Machine Learning Engineer At PwC AC, as an AI Solution QA, you will lead quality assurance practices for AI solutions to ensure they meet high-quality standards and deliver superior value to clients. Your tasks will involve defining and implementing AI-specific QA standards and methodologies, leading a team of QA professionals, developing comprehensive testing frameworks for AI and Machine Learning models, and collaborating with various stakeholders to integrate QA practices into the development lifecycle. Key Responsibilities: - Define, implement, and manage AI-specific QA standards and methodologies. - Lead a team of QA professionals to ensure rigorous testing of AI applications, models, and integrations. - Develop comprehensive testing frameworks for AI and Machine Learning models. - Collaborate with AI architects, developers, data scientists, and stakeholders to integrate QA practices. - Manage risk assessment processes and oversee testing activities. - Provide strategic oversight to ensure compliance with standards and regulatory requirements. - Mentor QA team members, facilitating professional growth. Preferred Knowledge: -

Role Overview: Traya Health is a fast-growing Direct-to-Consumer (D2C) hair care brand focused on revolutionizing the wellness and personal care space through innovative products and personalized solutions. As an Engineering Manager at Traya Health, you will have the opportunity to lead and inspire backend engineering teams. Your role will be crucial in shaping the technical direction, growth, and execution of multiple teams dedicated to building and scaling the core platform using the MERN stack. Key Responsibilities: - Lead and manage multiple backend engineering teams, fostering a collaborative, inclusive, and high-performing environment. - Own the technical vision and strategy for the backend organization, ensuring alignment with business objectives and product roadmap. - Drive the planning, execution, and delivery of complex backend initiatives across multiple teams, ensuring timeliness, scope adherence, and high-quality standards. - Collaborate with product management, frontend leadership, and other stakeholders to define product strategy, priorities, and technical direction. - Develop and empower engineering leaders within the organization, providing mentorship, guidance, and growth opportunities. - Promote a culture of technical excellence by enforcing best practices, coding standards, and architectural consistency. - Oversee architectural decisions to ensure scalability, reliability, security, and performance of backend systems. - Identify and address organizational and technical challenges proactively, implementing solutions for improved efficiency and effectiveness. - Drive professional development and career growth of engineers through coaching, mentoring, and performance management. - Lead recruitment and onboarding efforts to attract top engineering talent. - Advocate for and implement improvements to engineering processes, tools, and infrastructure. - Manage budgets and resources effectively for engineering teams. - Communicate effectively with stakeholders at all levels, providing regular updates on team progress, challenges, and strategic direction. Qualifications Required: - Bachelor's or Master's degree in Computer Science or a related field (or equivalent extensive practical experience). - Extensive experience (typically 8+ years) in backend software development, with a significant focus on the MERN stack (Node.js, NestJS, PostgreSQL, MongoDB) in scalable, production environments. - Proven experience (typically 3+ years) in managing and leading multiple software engineering teams and/or engineering leaders. - Deep understanding of JavaScript (ES6+) and asynchronous programming paradigms. - Extensive experience in designing and architecting complex backend systems using Node.js and enterprise-grade frameworks like NestJS. - Strong expertise in designing and optimizing data models and database architectures for relational (PostgreSQL) and NoSQL (MongoDB) databases at scale. - Understanding of microservices architecture, distributed systems, and API design principles. - Proficiency in software development methodologies (Agile, Scrum, Kanban) and their implementation at scale. - Ability to develop and execute technical strategy aligning with business goals. - Exceptional communication, interpersonal, and leadership skills to influence and inspire technical teams and stakeholders. - Strong analytical and problem-solving skills to address complex organizational and technical challenges. - Experience managing budgets and resources effectively.,

Role Overview: As a Senior Principal Software Engineer - IT at Dell Technologies, you will be a key member of the Software Engineer-IT Team in Bangalore, contributing towards ensuring product integrity and customer satisfaction. Your role will involve turning business requirements into technology solutions through designing, coding, testing/debugging applications, and documenting procedures. You will have the opportunity to work with cutting-edge technologies and make a significant social impact. Key Responsibilities: - Serve as the testing consultant to leader in the IT organization and functional user groups - Lead changes in architecture, methodology, or programming procedures - Assist in crafting the strategic technical and architectural direction to the programming function - Act as prime consultant on large projects that affect the organization's long-term goals and objectives - Acquire detailed specifications from business users and development to ascertain specific output Qualifications Required: Essential Requirements: - Design and implement security controls for AI/ML systems hosted on-premises, including model training, inference, and data pipelines - Secure AI/ML models against adversarial threats such as data poisoning, model inversion, and prompt injection - Architect agentic workflows using frameworks like LangChain, LangGraph, AutoGen, CrewAI - Develop ML models for threat detection, anomaly detection, and behavioral analysis - Work with cross-functional teams including data scientists, ML engineers, DevOps, and security analysts Desirable Requirements: - Hands-on experience with MCP, LangChain, LangGraph, AutoGen, CrewAI - Strong Python programming skills; familiarity with OpenAI, Anthropic, Mistral APIs (via private gateways or on-prem deployments) About Dell Technologies: Dell Technologies believes in the power of each individual to make an impact. The company values its team members and strives to provide an environment where everyone can grow their careers with the best minds and advanced technology in the industry. Dell Technologies is a diverse family of businesses dedicated to transforming how individuals and organizations work, live, and play. Join the team to contribute to building a future that benefits everyone because Progress Takes All of Us.,

As a software engineer at Google, you will play a crucial role in developing next-generation technologies that impact billions of users worldwide. Your work will encompass various areas such as information retrieval, distributed computing, system design, networking, security, AI, UI design, and mobile applications. You will have the opportunity to work on projects vital to Google's operations, with the flexibility to switch teams and projects as the business evolves. Versatility, leadership qualities, and a passion for solving new challenges are essential qualities we look for in our engineers. Key Responsibilities: - Write and test product or system development code. - Collaborate with peers and stakeholders to ensure best practices in design and coding. - Contribute to documentation and educational content, adapting based on feedback. - Triage product issues, debug, and resolve by analyzing sources of problems. - Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs. Qualifications Required: - Bachelor's degree or equivalent practical experience. - 5 years of software development experience in one or more programming languages. - 3 years of experience in testing, maintaining, or launching software products. - 1 year of experience in software design and architecture. - 3 years of experience with ML infrastructure. - 1 year of experience with state-of-the-art GenAI techniques or concepts. Preferred Qualifications: - Master's degree or PhD in Computer Science or related field. - 5 years of experience with data structures and algorithms. - 1 year of experience in a technical leadership role. - Experience developing accessible technologies.,

Role Overview: At EY, you have the opportunity to embark on a transformative journey as an Information Systems Engineer within the Genesis AI Enabled Delivery CoE. Your role involves pioneering sophisticated AI solutions to enhance the Tax practice and contribute to building a better working world. By leveraging your expertise, you will play a crucial role in shaping the future of AI applications and promoting trust and confidence in the digital age. Key Responsibilities: - Maintain and Enhance Data Pipeline Architecture: Ensure data pipelines" integrity and seamless operation to meet evolving data demands effectively. - Aggregate and Manage Complex Data Sets: Collect, clean, and compile large and diverse data sets to support analytical and operational requirements efficiently. - Streamline Processes through Automation and Optimization: Continuously improve data processes by implementing automation and optimization techniques for enhanced efficiency and scalability. - Construct Robust Infrastructure for Data Handling: Build and maintain a secure and reliable infrastructure supporting the entire data lifecycle from ingestion to analytics. - Develop Advanced Analytics Tools for Insights: Create sophisticated tools that analyze data, providing valuable insights for informed business decisions. - Foster Collaboration with Stakeholders: Work closely with stakeholders to align data strategies and solutions with business needs and objectives effectively. - Safeguard Data Security: Implement stringent data security measures to protect sensitive information and ensure compliance with regulatory standards. - Innovate with Data Tools for Analytics: Design and develop innovative data tools to enhance the organization's analytics capabilities and foster a data-driven culture. Qualifications Required: - Azure Cloud Mastery: Lead and mentor a team in constructing resilient and scalable data pipelines using Azure's cloud platform services. - Solution Architecture Expertise: Design and deploy comprehensive data solutions on Azure to handle large-scale data processing tasks effectively. - Data Integration Proficiency: Seamlessly integrate various data sources using Azure's advanced integration tools to create an efficient data ecosystem. - Model Design Excellence: Develop adaptable data models that accurately reflect business requirements and scale effectively. - Purview Proficiency: Integrate and utilize Azure Purview to provide clear data lineage, governance, and management for improved data asset handling. - Security Implementation Savvy: Implement stringent security protocols within Azure to ensure data integrity and compliance with industry standards. - Performance Monitoring Skills: Continuously monitor and optimize Azure data pipelines to maintain system efficiency and reliability. Company Details: EY exists to build a better working world by creating long-term value for clients, people, and society through diverse teams in over 150 countries. EY provides trust through assurance and helps clients grow, transform, and operate across various sectors, including assurance, consulting, law, strategy, tax, and transactions. EY's teams focus on asking better questions to find innovative solutions for the complex issues facing the world today.,

Job Description :-  We are seeking a skilled and detail-oriented BIM Modeler (Electrical) to join our design and engineering team in Bangalore. The ideal candidate will have strong expertise in CAD to BIM conversion, 3D modelling, and MEP coordination, with hands-on experience in Revit and other BIM tools. The role involves producing high-quality BIM models and drawings in alignment with project standards and client requirements.Key Responsibilities :-   Must have experience as a BIM Modeler in projects from Gulf countries, especially Saudi Arabia and Dubai. - Develop and manage 3D MEP models (Mechanical & Electrical) from CAD drawings using Revit. - Create and modify parametric families up to LOD 500 as per project specifications. - Perform CAD to BIM conversion efficiently while maintaining accuracy and design intent. - Coordinate and integrate models across disciplines (Plumbing, HVAC, Electrical, and Fire Protection). - Prepare installation, coordination, and shop drawings from BIM models. - Collaborate with engineers, architects, and other stakeholders to ensure model accuracy and design consistency. - Use Navisworks for model review, clash detection, and coordination. - Maintain quality and standards in all BIM deliverables as per company and client guidelines. - Stay updated with industry standards, BIM trends, and technologies.

Job Description:-                         We are seeking a skilled and detail-oriented BIM Modeler (Mechanical) to join our design and engineering team in Bangalore. The ideal candidate will have strong expertise in CAD to BIM conversion, 3D modeling, and MEP coordination, with hands-on experience in Revit and other BIM tools. The role involves producing high-quality BIM models and drawings in alignment with project standards and client requirements.Key Skills (Mechanical BIM Modelling):- Must have experience as a BIM Modeler in projects from Gulf countries, especially Saudi Arabia and Dubai. - Proficient in HVAC system modeling including ducts, chillers, diffusers, AHUs, and piping. - Experience in 3D modeling and coordination of mechanical systems in Revit or similar BIM tools. - Knowledge of airflow design, temperature control, and energy efficiency principles. - Skilled in modelling mechanical equipment, duct networks, and plant rooms. - Ability to identify and resolve clashes with structural and other MEP systems. - Experience in preparing HVAC layouts, duct sizing drawings, and equipment schedules. - Strong understanding of MEP coordination and CAD to BIM conversion.

A Supply Chain Optimization Manager enhances a company's supply chain efficiency by analyzing data, reducing costs, and improving workflows across areas like logistics, inventory, and procurement. Key responsibilities include developing strategies for network optimization, collaborating with cross-functional teams (such as procurement and finance), and using data and digital tools to manage performance and drive continuous improvement. This role requires strong analytical, problem-solving, and leadership skills.  Key responsibilities Performance monitoring and analysis: Track, analyze, and report on supply chain performance to identify areas for improvement. Cost reduction: Develop and implement strategies to reduce overall supply chain costs, including manufacturing, transportation, and distribution costs. Network design: Design, model, and optimize the supply chain network for efficiency and scalability. Material and inventory management: Oversee material sourcing, storage, and usage to prevent stock outs or overstock, and negotiate with suppliers to ensure timely delivery and quality. Cross-functional collaboration: Work with departments like procurement, operations, finance, and new product development on business cases and long-term programs. Process improvement: Facilitate changes to internal processes and technologies to achieve performance targets and increase productivity. Data and digital tools: Develop and maintain optimization tools, dashboards, and visualizations to support decision-making. Logistics and distribution: Plan and coordinate the movement of goods to ensure timely and cost-effective delivery to customers. 

As a Backend Developer, you will be responsible for: - Designing, developing, and maintaining robust backend systems using Java (8+) and Spring Boot. - Building and managing RESTful APIs and microservices. - Collaborating with AI/ML teams to integrate intelligent models or services. - Optimizing services for speed, security, and scalability. - Working on data persistence, caching, and service orchestration layers. - Participating in peer code reviews, CI/CD setup, and deployment automation. Qualifications Required: - BE/Btech/ME/Mtech Additional Company Details: - Work location: Bangalore Must-Have Skills: - Strong in Java (8+), Spring Boot, and Spring Ecosystem. - Experience with REST APIs, JSON, HTTP, and microservices design. - Proficiency with SQL and NoSQL databases. - Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI). - Knowledge of Docker, Kubernetes, and container orchestration. - Experience with cloud platforms such as AWS, Azure, or GCP. - Ability to perform unit and integration testing using tools like JUnit and Mockito.,

As a Salesforce Architect at Artemis ABA Inc., you will play a crucial role in providing end-to-end solutions using Salesforce and Salesforce products. Your expertise will be instrumental in guiding the customer and the team to implement robust and scalable solution models using cost-effective and efficient tools and techniques. If you are passionate about architecting challenging projects and aspire to advance your career in the US market, this role is perfect for you. **Key Responsibilities:** - Create architecture blueprints and solution design artifacts in technology consulting engagements. - Provide solutions to complex problems and architect challenging projects. - Identify and recommend Salesforce.com-based solutions, integration points, and related implementation architecture for business usage improvements, scalability, and performance. - Define technical best practices for implementation and ensure alignment with the overall enterprise architecture of the client. - Perform code reviews, ensure adherence to best practices, and evaluate application performance bottlenecks. - Guide junior developers through code review, solution design, and training plans. - Collaborate with internal/external stakeholders to perform Salesforce Opportunity analysis and recommend CRM solutions. - Conduct Proof of Concept (PoC) using the latest Salesforce offerings. - Support Operational Teams during UAT and rollout phases. **Mandatory Skills:** - Minimum 10 years of professional experience in Salesforce Design and Implementation; 4+ years in architecture roles. - In-depth experience in Salesforce CRM and its end-to-end implementation process. - Experience in designing and developing software components with a strong service-oriented architecture and integration background. - Proficiency in programming using Salesforce SFDC, Force.com, JavaScript, and XML. - Strong practical deployment knowledge of Salesforce Lightning UI, Visual Force, APEX APIs, and more. - Excellent written, verbal, and listening communication skills. - Salesforce Architect certifications are a must. **Desired Skills:** - Experience in the healthcare domain is an added advantage. Artemis ABA Inc. is a technology-first organization dedicated to revolutionizing how ABA clinics manage operations, care delivery, and compliance. Built entirely on Salesforce, our platform powers smarter workflows and improves outcomes for providers and patients. Operating at the intersection of healthcare, SaaS, and innovation, we offer a dynamic and challenging work environment for passionate individuals.,

Role Overview: As a DI AI .Net Developer, your main responsibility will be to build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. You will also develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. Collaboration with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs will be a key part of your role. Additionally, embedding robust security controls to protect sensitive data and ensuring secure access to AI services will be crucial. You will contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentoring junior developers, encouraging continuous learning, and contributing to a culture of innovation will also be part of your responsibilities. Working with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development, will round out your key responsibilities. Key Responsibilities: - Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. - Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. - Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. - Embed robust security controls to protect sensitive data and ensure secure access to AI services. - Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. - Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. - Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. Qualification Required: - 10+ years of experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies. - Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management). - Strong expertise in RESTful API design, versioning, testing, and lifecycle management. - Proficient in securing APIs, managing authentication/authorization and data privacy practices. - Excellent problem-solving skills, with the ability to analyze complex technical challenges and propose scalable solutions. - Experience working in Agile teams and collaborating across global R&D locations. - Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation. - Demonstrated experience with AI frameworks, tools, and Python. Note: The job description provided additional information about AI & Cloud Expertise, including experience working with Large Language Models (LLMs), familiarity with AI standards, knowledge of AI ethics and regulations, and experience with AI orchestration and tools for automated testing and evaluation of AI outputs.,

In this role at PwC, you will be responsible for leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Specifically, in data engineering at PwC, your focus will be on designing and building data infrastructure and systems to enable efficient data processing and analysis. Your responsibilities will include developing and implementing data pipelines, data integration, and data transformation solutions. Key Responsibilities: - Define, implement, and manage AI-specific QA standards and methodologies. - Lead a team of QA professionals to ensure rigorous testing of AI applications, models, and integrations. - Develop comprehensive testing frameworks for AI and Machine Learning models, including performance, accuracy, explainability, fairness, bias, and security. - Collaborate with AI architects, developers, data scientists, and stakeholders to integrate QA practices into the development lifecycle. - Manage risk assessment processes, proactively identifying potential quality and reliability issues. - Conduct and oversee testing activities including regression, integration, system, and user acceptance testing. - Provide strategic oversight to ensure compliance with internal standards and external regulatory requirements related to AI. - Mentor QA team members, facilitating professional growth and technical capability enhancement. Qualification Required: - Minimum 10-12 years of experience in software QA/testing with at least 3-5 years specifically in AI/ML quality assurance. - Proven track record managing QA teams, implementing robust QA practices, and driving quality improvements. - Strong understanding of AI/ML concepts, model evaluation, testing techniques, and AI-specific quality metrics. - Familiarity with AI regulatory standards and ethical considerations. - Experience with AI and ML tools such as TensorFlow, PyTorch, AWS SageMaker, Azure ML, or similar platforms. - Excellent communication, stakeholder management, and problem-solving skills. Additional Details of the Company: PricewaterhouseCoopers Acceleration Center (PwC AC) is the natural extension of PwC's leading-class global delivery capabilities. The highly skilled resources at Bangalore AC provide premium, cost-effective, high-quality technology services for projects based in the United States and global clients focused on key horizontal and vertical end-to-end solutions.,

Role Overview: As a Senior Gen AI Developer with NTT DATA, you will be responsible for leveraging your expertise to design and implement cutting-edge AI solutions. Working in a hybrid mode out of Bengaluru, you will play a key role in developing AI/ML applications and collaborating with cross-functional teams to support the successful execution of AI projects across various industries. Your focus will be on driving business intelligence and decision-making through transformative projects. Key Responsibilities: - Exercise expertise in developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Apply advanced statistical techniques and concepts to enhance AI solutions. - Demonstrate deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. - Deep understanding of statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. - Experience with RAG technologies, LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases. - Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models like BERT, Transformers, PaLM, Bard, etc. - Proficiency in programming languages such as Python and various Python packages, including TensorFlow, PyTorch, or Keras. - Collaborate with customers to understand their requirements and deliver customized AI solutions. - Communicate complex technical concepts clearly to non-technical audiences and conduct training sessions to enhance overall data science skills within the organization. Qualifications Required: - 7+ years of experience in AI development. - Strong expertise in developing AI/ML applications with a focus on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Advanced knowledge of statistical techniques and ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Proficiency in programming languages like Python and experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models. - Excellent communication skills and the ability to interact effectively with clients and cross-functional teams. Please note the additional details of the company were not provided in the job description. Role Overview: As a Senior Gen AI Developer with NTT DATA, you will be responsible for leveraging your expertise to design and implement cutting-edge AI solutions. Working in a hybrid mode out of Bengaluru, you will play a key role in developing AI/ML applications and collaborating with cross-functional teams to support the successful execution of AI projects across various industries. Your focus will be on driving business intelligence and decision-making through transformative projects. Key Responsibilities: - Exercise expertise in developing AI/ML applications on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Apply advanced statistical techniques and concepts to enhance AI solutions. - Demonstrate deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. - Deep understanding of statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. - Experience with RAG technologies, LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases. - Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models like BERT, Transformers, PaLM, Bard, etc. - Proficiency in programming languages such as Python and various Python packages, including TensorFlow, PyTorch, or Keras. - Collaborate with customers to understand their requirements and deliver customized AI solutions. - Communicate complex technical concepts clearly to non-technical audiences and conduct training sessions to enhance overall data science skills within the organization. Qualifications Required: - 7+ years of experience in AI development. - Strong expertise in developing AI/ML applications with a focus on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. - Advanced knowledge of statistical techniques and ML frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. - Proficiency in programming languages like Python and experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models. - Excellent communication skills and the ability to interact effectively with clients and cross-functional teams. Please note the additional detai

As a Machine Learning & Generative AI Engineer, you will play a crucial role in designing, building, and deploying advanced ML and GenAI solutions. You will have the opportunity to work on cutting-edge AI technologies like LLM fine-tuning, Transformer architectures, Retrieval-Augmented Generation (RAG), and enterprise-scale ML systems. Your innovative thinking and technical expertise will be instrumental in delivering impactful AI solutions aligned with business needs. **Key Responsibilities:** - Design, build, and deploy end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Develop and optimize LLM-based solutions using Transformer architectures for enterprise applications. - Implement RAG pipelines by leveraging embeddings and vector databases to integrate domain-specific knowledge into LLMs. - Fine-tune LLMs on custom datasets for specialized tasks such as text corpora, Q&A, conversational data, and structured-to-text. - Ensure scalable deployment of ML & LLM models on cloud environments with monitoring, versioning, and performance optimization. - Collaborate with data scientists, domain experts, and software engineers to deliver AI-driven business impact. **Qualifications Required:** - 3 to 7 years of experience in Machine Learning, Deep Learning, and AI model development. - Strong proficiency in Python and ML frameworks like PyTorch, TensorFlow, Scikit-Learn, and MLflow. - Expertise in Transformer architectures (BERT, GPT, T5, LLaMA, Falcon, etc.) and attention mechanisms. - Hands-on experience with Generative AI, including LLM fine-tuning, instruction tuning, and prompt optimization. - Experience with RAG pipelines, embeddings, vector databases, and retrieval workflows. - Strong foundation in statistics, probability, and optimization techniques. - Proficiency with cloud ML platforms such as Azure ML, AWS SageMaker, and GCP Vertex AI. - Familiarity with Big Data & Data Engineering tools like Spark, Hadoop, Databricks, and SQL/NoSQL databases. - Hands-on experience with CI/CD, MLOps, and automation pipelines using tools like Airflow, Kubeflow, and MLflow. - Experience with Docker and Kubernetes for scalable ML/LLM deployment. In addition to technical skills, you are expected to excel in real-world AI application & deployment, prompt engineering & model evaluation, fine-tuning & customization of LLMs, understanding of LLM internals & ecosystem tools, creativity, problem-solving & innovation, and business alignment, security, and ethical AI practices. (Note: Any additional details of the company were not provided in the job description),

As a Quantitative Risk Intern at CME Group, you will be part of a team responsible for developing Risk/Pricing Models to evaluate counterparty exposures to the Clearing House. Your role will involve working on models related to Pricing, Value-at-Risk, Stress Testing, Liquidity, and Regulatory Capital. Additionally, you will be developing tools for Portfolio Analytics. You will collaborate with the team to perform back testing and statistical analysis to ensure the adequacy of margin coverage and justify model assumptions. **Principal Accountabilities:** - Conduct empirical studies and provide recommendations on margin levels, modeling issues, and risk-mitigation measures. - Ensure that models are updated with the latest proven theories in the field. - Deploy, test, and continuously improve models within the Production Infrastructure of CME. - Present results to Senior Management and/or Risk Committees. - Enhance existing risk models and design/prototype new models across different asset classes like OTC and Futures (e.g. Pricing, VaR, Backtest, Stress, Liquidity, etc.). **Skills & Software Requirements:** - Experience with programming languages such as C++/C#, R, VBA, and SQL is required. **Education:** - A Bachelor's degree in a technical discipline is required, while a Master's degree is preferred in disciplines like Math Finance, Applied Mathematics, Financial Engineering, or Software Engineering. At CME Group, individuals like you can impact global markets, transform industries, and shape tomorrow. You will be part of a team of experts who inspire you to grow. The company values diversity and inclusivity, ensuring that every employee's unique experiences and skills are acknowledged and valued. CME Group is an equal-opportunity employer, considering all potential employees without regard to any protected characteristic. Please be aware of recruitment fraud, as scammers may use misleading promises of job offers to solicit money and personal information from job seekers. CME Group follows established procedures to maintain trust, confidence, and security throughout the recruitment process.,