125 Eda Jobs - Page 5

Job Area: Engineering Services Group, Engineering Services Group > CAD Component Qualcomm Overview: Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. General Summary: Role The successful candidate will operate as a senior member of the CAD department library team. Responsibilities include to create and update component CAD schematic symbols and footprint geometry. The senior librarian will interface with internal staff, PWB designers, department managers, component engineers, CAD tool administrators, and outside subcontractors in the fast-paced execution of a variety of circuit board projects. Growth potential includes a permanent position with managerial responsibility. Preferred Qualifications: Bachelor's Associate degree in Electrical/Electronics, Computer Science, Mathematics, or related field. 4+ years of experience in CAD library and or PWB design. Working knowledge in the use of EDA tools, preferably Siemens/Mentor Xpedition and/or Cadence Allegro. Working knowledge of Agile or other PLM tools. Working knowledge of AutoCAD / 3D tools. Basic understanding of Design for Manufacturing/Assembly (DFM/DFA) and utilization of this understanding to create CAD library parts. Basic understanding and Interpretation of Datasheets and engineering drawings Ability to work with internal and external teams. Principal Duties and Responsibilities: Analyzes component specifications and determines how best to create CAD libraries that meet customer requirements. Develops CAD library symbols/parts from datasheets and specifications, often with input from others on the team. Actively stays informed of new/emerging technologies, especially important as packages become smaller with higher pin count and finer pitch Basic understanding / working knowledge of MS Office tools Works with others cross-functionally to expedite issues and provide solutions. With guidance from others, looks for opportunities for improvement in processes in place. Level of Responsibility: Works under close supervision. Responsible for own work. Decision-making is limited. Impact of decisions is readily apparent. Errors made typically only impact timeline (i.e., require additional time to correct). Requires verbal and written communication skills to convey basic, routine factual information about day-to-day activities to others who are fully knowledgeable in the subject area. Most tasks require multiple steps which can be performed in various orders; some planning and prioritization must occur to complete the tasks effectively; mistakes may result in some rework. Some creativity may be required to troubleshoot technical problems or deal with novel circumstances. Deductive problem solving is required to solve moderately complex problems; most problems have defined processes of diagnosis/detection; some limited data analysis may be required. Applicants :Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

AI & ML Model Development: •Execute PoCs and MVPs for AI and ML projects, focusing on practical implementation. •Develop and refine ML models, including supervised and unsupervised learning algorithms. •Build and deploy GenAI solutions, such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and chatbots. •Collaborate with AI Engineers to integrate models into enterprise applications. Data Handling & Preprocessing: •Collect, clean, and preprocess data to ensure quality inputs for model training. •Conduct exploratory data analysis (EDA) to uncover insights and inform model development. •Work with Data Engineers to ensure smooth data pipelines and infrastructure. Model Evaluation & Optimization: •Evaluate model performance using appropriate metrics and fine-tune algorithms for optimal results. Technical Skills: •Proficient in Python and SQL for data manipulation and model development. •Familiarity with ML frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. •Experience with data visualization tools (e.g., Matplotlib, Seaborn) and EDA techniques. •Basic understanding of MLOps tools like MLflow, Airflow, or similar is an advantage. •Exposure to cloud platforms (Azure, AWS, GCP) for AI/ML model deployment is a plus. SKILLS Gen AI Lang chain Llama Working experience with Text, Multi Model, and images

About The Role : Come join Intel's highly regarded Devices Development Group, responsible for creating Client SOCs. We envision the future of computing and design for the next generation of laptop and desktop computers.We are seeking a highly skilled and motivated STA (Static Timing Analysis) Engineer to join our team specializing in timing analysis for cutting-edge and complex SoC projects. This role offers a unique opportunity to work on high-level designs and collaborate with multidisciplinary teams in a dynamic and challenging environment. Your responsibilities may include but not be limited to: STA setup, convergence, reviews and sign-off for Multi-Mode and Multi-corner Multi voltage domain designs. Timing analysis and Timing Closure at Partition/Sub-system/FC level. Develops and defines methodologies to ensure highest quality of timing models that enable the physical design team to operate efficiently. Defines the right process, voltage, and temperature (PVT) conditions to be used for timing analysis for a given design based on the product plans such as operating conditions and binning. Collaborates with architecture, clocking design, and logic design teams to deliver flow development for chip integration and validates high performance low power clock network guidelines. Familiar with Constraint Generation, development and clean up. Good at Timing ECO Implementation strategy development/convergence. Should have an experience in enabling the Tweaker/Prime Time based ECO flows. Work on Automation scripts with in STA tools for Methodology development. Familiar with digital design Implementation RTL to GDSII :Synopsys/Cadence tools. Familiar with LVF/POCV variation formats and understanding of deep sub-micron topics. Participate in and lead cross-functional meetings to drive project progress and resolve timing-related challenges. Act as a liaison between timing analysis and physical design teams, ensuring alignment and high-quality deliverables. The ideal candidate should exhibit behavioral traits that indicate: Self-motivator with strong problem-solving skills. Excellent interpersonal skills, including written, verbal, and presentation communications. Attention to detail and organizational skills. Ability to work as part of a team and collaborate in a high-paced atmosphere. Qualifications Educational Qualifications: BS/BTech degree with 8 years of experience, or MS/MTech degree with 6 years of experience in Electronics/VLSI/Computer Science or a related field. Preferred Qualification: At least 8+ years of experience in STA Timing Analysis using industry EDA tools.Experience in Python/Perl/TCL programming languages. Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Role & responsibilities 5+ years of experience in data engineering/analytics Proficiency in SQL and Python Experience Snowflake and Google BigQuery is highly desirable Skilled in statistical analysis, exploratory data analysis (EDA) Experience in building dashboards in BI tools, such as Power BI, Superset Strong problem-solving skills and the ability to adapt to new challenges. Excellent communication skills and the ability to proactively engage with clients. Preferred candidate profile Perks and benefits

ho are we looking for? Overall 7+ years of IT experience with 3 years in AI/ML Data Engineer exceptional communication skills, including ability to develop and present clear and concise analysis and recommendations to senior management. Technical Skills: (Must have) 1. Gen AI 2. Data Science with AI/ML 3. Able to work with the Engineering team to provide insights. 4. Strong knowledge in programming Languages in Python 5. Using AI Frameworks like PyTorch . Python basics(Data Type, functions, string, conditions) Data Frame(Pandas, Numpy, Regex, Assert, *Args,**Kwargs), Data visualization (matplotlib, Seaborn) Advanced python (Iterators, Generators, Decorator, OOPS, Design pattern, Solid principles) Complex SQl (windows function, window frames, Materialized views, set operators, CTEs, cursors and Stored procedures) AI/ML (EDA, algorithms(KNN, Logistic etc)

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Node.js Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : Minimum 15 years Full time Education Key Responsibilities :a Around 2 plus years of IT experience, primarily with full-stack software development exposure with a focus on microservices Nodejs b Experience with being on support for microservices, integrations with other systems, and handling prod incidents in complex cloud architectures c Familiarity with agile software development methodologies and working in agile teams d Experience with building modern full-stack Node and JavaScript-based cloud-native solutions Technical Experience :a:Proven working experience in Java development, designing and developing applications b:Knowledge of other related technology stacks and languages will be well-regardeded c Experience building web applications with:o AWS or similar cloud platform native services compute, databases, storage, analytics, networking o Microservices architecture SOA, EDA o Modern web applications HTML/CSS, SPA, JavaScript o Web services integration REST, SOAP o Source code version control Git Professional Attributes :a Good communication, analytical and presentation skills b the ability to work independently Educational Qualification :Minimum 15 years Full time Education Qualification Minimum 15 years Full time Education

Below is the JD of the EDA Tool Automation Engineer open position. Role Purpose Summary: As an Automation Engineer, you will join diverse team of developers to participate in the specification, design, testing, maintenance, and implementation of software for analytical, bioproduction instruments and allied products. This software, and these instruments a make a real, positive, and strong impact on the lives of people across the globe Roles & Responsibilities EDA tool Automation Engineer. Job description For EDA tool Automation Engineer (Scripting Specialist) Develop and maintain custom scripts and automation tools for Altium Designer, OrCAD, and PADS. Create custom UIs, plugins, and macros to enhance PCB design software capabilities. Proficiency in scripting languages such as Python, Tcl, VBScript, or JavaScript for EDA automation. Experience working with Altium Designer, OrCAD Capture/Layout, and PADS scripting environments. Create custom UIs, plugins, and macros to enhance PCB design software capabilities. Automate repetitive design tasks, such as component placement, routing optimization, and design rule checks. Experience with automation frameworks for PCB tools. Knowledge of database management and ODBC integration for component libraries. Experience in creating custom toolbars, menus, or GUI enhancements in EDA tools. Candidate Educational & Professional Experience Requirement: Bachelors/ master’s degree in electrical / electronic / instrumentation engineering with 6+ years of experience.

About The Role : Experience in Mixed-Signal layout design, holding bachelors degree To work independently on block levels analog layout design from schematic, estimating the Area, Optimizing Floorplan, Routing and Verifications. Firsthand experience in Critical Analog Layout design of blocks such as Temperature sensor, Serdes, PLL, ADC, DAC, LDO, Bandgap, Ref Generators, Charge Pump, Current Mirrors, Comparator, Differential Amplifier etc., Good at LVS/DRC debugging skills and other verifications for lower technology nodes like 14nm FinFet and below. Good understanding of Matching, EM, ESD, Latch-Up, Shielding, Parasitic and short channel concepts. Familiar with EDA tools like Cadence VLE/VXL, PVS, Assura and Calibre DRC/ LVS is a must. Understanding layout effects on the circuit such as speed, capacitance, power and area etc., Ability to understand design constraints and implement high-quality layouts. Multiple Tape out support experience will be an added advantage. Good people skills and critical thinking abilities to resolve the issue technically, and professionally. Excellent communication. Responsible for timely execution with high quality of layout design. Primary Skills Analog Layout Process or technology experience:TSMC 7nm, 5nm, 10nm,28nm, 45nm,40nm EDA Tools: Layout Editor:Cadence Virtuoso L, XL Physical verification:DRC,LVS,Calibre Secondary Skills IO layout

Develop predictive/prescriptive models using ML/statistical/AI techniques Collect/clean/preprocess large datasets from multiple sources Perform EDA/identify trends/patterns Implement models using Python/R/SAS Validate models Required Candidate profile 5+ yrs of exp in data science, model development/validation in BFSI Exp with machine learning, statistical modelling, and AI techniques. Exp in managing RCSA program at corporate level.

Develop predictive/prescriptive models using ML/statistical/AI techniques Collect/clean/preprocess large datasets from multiple sources Perform EDA/identify trends/patterns Implement models using Python/R/SAS Validate models Required Candidate profile 5+ yrs of exp in data science, model development/validation in BFSI Exp with machine learning, statistical modelling, and AI techniques. Exp in managing RCSA program at corporate level.

seeking a software engineer to lead our Devops teams, drive technical excellence, and ensure the successful delivery of high-quality software solutions. This role requires knowledge in .Net core, REST APIs, SQL, Cloud and Architecture, Azure, OWASP

Automation Specialist with Project Management Skills Job Overview: We are seeking highly skilled and enthusiastic Automation & AI knowledge to join our Team. The ideal candidate will have a strong ability to handle and analyze large amounts of data, drive effective decision making and deliver high quality project execution. The role demands flexibility to multitask, manage projects efficiently and build comprehensive project plans to achieve organizational goals. Key Responsibilities: Automation & AI Development: Develop & Deploy AI and Automation solutions using Python to optimize business processes and workflows. Ensure that deployed models are monitored for performance and retain necessary Identify opportunities to enhance existing processes and implement innovative solutions Data Preparation & Analysis: Collaborate with Domain experts to understand business requirements and contextualize data Perform Exploratory Data Analysis (EDA) to uncover trends, patterns and actionable insights Present data insights in a clear and concise manner to drive decisions Project management: Create and manage detailed project plans, timelines & deliverables. Collaborate with cross functional teams to ensure seamless execution of projects Monitor project progress and resolve any roadblocks proactively Collaboration & Communication: Work closely with software developers, data engineers and domain experts to integrate AI capabilities into products and services Communicate findings and recommendations to technical and non technical teams Stay updated with latest trends and advancements in AI & Automation technologies Qualification & Key Skills: Proficiency in Python,VB Macros for Automation development of processes and workflows Experience with data analysis, handling high volume data sets and tools like Pandas, NumPy & Matplotlib Strong problem solving skills with the ability to drive actionable insights from complex data Exceptional Project management and organizational skills Ability to multitask, prioritize and work effectively under pressure Excellent troubleshooting, problem solving and communication skills

Roles & Responsibilities: Must Have : Should be working as a Lead application support Engineer with experience on .Net and C# (should have C# .Net backend development skills) Location : Work from Home Requirements: Candidate should have C# .Net backend development skills, ideally including .Net standard/ .net framework 4.8+, including OOP, Polymorphism and Dynamic Dispatch Candidate should have worked with Event Driven Architecture including Publisher- subscriber model and should have good understanding in message communication Candidate should have a good knowledge of SQL Server and T-SQL, able to write complex queries as well as performance tune queries Knowledge of an ORM and how it is used to interface with database. Knowledge of Dependency Injection and how it is used for unit testing. Candidate should have experience of working on financial systems Candidate should have experience with TDD / BDD and a good knowledge of Agile methodologies Candidate should be collaborative, pragmatic, self-motivated and fast learner and open for bringing continuous improvement to applications (s)he is working on.

Designs, implements, verifies, and supports the enablement and adoption of hardware design tools, flows, and methodologies. Defines methodologies for hardware development related to technology node and EDA tool enabling. Creates and verifies unique hardware designs, assembles design platforms, and integrates components into hierarchical systems to provide deployment coverage for end-to-end EDA tool testing on new technology nodes. Develops, tests, and analyzes engineering design automation tools, flow, and methodologies to improve efficiency and optimize power and performance. Supports development and enhancement of platforms, databases, scripts, and tools flows for design automation. Builds deep understanding of digital design, verification, structural and physical layout, fullchip integration, power and performance, clocking, and/or timing to enhance future TFM development. Collaborates with EDA vendors on defining and early testing of nextgeneration design tools. Qualifications Minimum Qualifications: BE/Btech in VLSI/ Microelectronics / ECE Preferred Qualifications: ME/MTECH in VLSI/ Microelectronics/ ECE Completed Physical design 6 months course would help.

Job Description Experience in Mixed-Signal layout design, holding bachelors degree To work independently on block levels analog layout design from schematic, estimating the Area, Optimizing Floorplan, Routing and Verifications. Firsthand experience in Critical Analog Layout design of blocks such as Temperature sensor, Serdes, PLL, ADC, DAC, LDO, Bandgap, Ref Generators, Charge Pump, Current Mirrors, Comparator, Differential Amplifier etc., Good at LVS/DRC debugging skills and other verifications for lower technology nodes like 14nm FinFet and below. Good understanding of Matching, EM, ESD, Latch-Up, Shielding, Parasitic and short channel concepts. Familiar with EDA tools like Cadence VLE/VXL, PVS, Assura and Calibre DRC/ LVS is a must. Understanding layout effects on the circuit such as speed, capacitance, power and area etc., Ability to understand design constraints and implement high-quality layouts. Multiple Tape out support experience will be an added advantage. Good people skills and critical thinking abilities to resolve the issue technically, and professionally. Excellent communication. Responsible for timely execution with high quality of layout design. Primary Skills Analog Layout Process or technology experience: TSMC 7nm, 5nm, 10nm,28nm, 45nm,40nm EDA Tools: Layout Editor: Cadence Virtuoso L, XL Physical verification: DRC,LVS,Calibre Secondary Skills IO layout

Responsibilities We are seeking highly motivated individuals with a BS, MS, Btech or Mtech degree in Electronics engineering to be part of the EDA team. Join a great team of engineering professionals who are involved in development, validation & release of IBM CAD tools & methodologies used in designing IBM P & Z microprocessor systems along with system ASICS. In this role, you are expected to enable different flavours of the backend design( RTL-GDS ) flows and assess the quality of tools. Develop automation scripts to aid tool in data analysis/visualization. You are required to have excellent debugging skills and have good understanding of RTL-GDS implementation flow for 7nm and below technologies. We are seeking energetic, highly motivated individuals willing to go the extra mile with the aim of helping the overall IBM development team. Strong interpersonal skills are needed to coordinate deliverables and requirements from several areas within and outside of the organization.There are many opportunities to gain and utilize a deep understanding of future issues and provide input towards decisions affecting system development, logical and physical design as well as sophisticated methodology directions. Individuals who are chosen to become a part of our world class development teams will be helping advance IBM’s leadership in developing the highest performing computers and changing hardware solutions. Do you want to be an IBMer? Come THINK with us! Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Good knowledge and understanding of PD optimization flow and signoff checks. Excellent scripting skills - TCL/Python/Shell Proven problem solving skills and the ability to work in a team environment are a must Good communication skills & the skill to work with teams across geographies. Ability to continuously improvise and innovate to resolve challenges efficiently. 2+ years of experience in software/methodology development or support in physical design domain. Preferred technical and professional experience Cadence, Synopsys, VLSI knowledge, VHDL/Verilog, Machine Learning/AI

Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities. Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment. Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs. Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components Participate in software design reviews, code reviews and project planning. Write and review documentation and technical blog posts. Contribute to department attainment of organizational objectives and high customer satisfaction Required education Bachelor's Degree Required technical and professional expertise Minimum 4+ years of hands-on experience developing AI-based applications using Python. Experience using deep learning frameworks (TensorFlow, PyTorch, or Keras) Experience in Pydantic Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations. Proven expertise in integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc., Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Experience in MLOPs frameworks (BentoML,Kubeflow or similar technologies) and exposure to LLMOPs Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs. Understanding of security and ethical best practices for data and model development Contributions to open source projects Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s)

Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities. Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment. Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs. Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components Participate in software design reviews, code reviews and project planning. Write and review documentation and technical blog posts. Contribute to department attainment of organizational objectives and high customer satisfaction Required education Bachelor's Degree Required technical and professional expertise Minimum 4+ years of hands-on experience developing AI-based applications using Python. Experience using deep learning frameworks (TensorFlow, PyTorch, or Keras) Experience in Pydantic Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations. Proven expertise in integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc., Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Experience in MLOPs frameworks (BentoML,Kubeflow or similar technologies) and exposure to LLMOPs Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs. Understanding of security and ethical best practices for data and model development Contributions to open source projects Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s)

Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities. Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment. Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs. Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components Participate in software design reviews, code reviews and project planning. Write and review documentation and technical blog posts. Contribute to department attainment of organizational objectives and high customer satisfaction Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Minimum 4+ years of hands-on experience developing AI-based applications using Python. Experience using deep learning frameworks (TensorFlow, PyTorch, or Keras) Experience in Pydantic Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations. Proven expertise in integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc., Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Experience in MLOPs frameworks (BentoML,Kubeflow or similar technologies) and exposure to LLMOPs Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs. Understanding of security and ethical best practices for data and model development Contributions to open source projects Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s)

Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities. Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment. Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs. Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components Participate in software design reviews, code reviews and project planning. Write and review documentation and technical blog posts. Contribute to department attainment of organizational objectives and high customer satisfaction Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Minimum 4+ years of hands-on experience developing AI-based applications using Python. Experience using deep learning frameworks (TensorFlow, PyTorch, or Keras) Experience in Pydantic Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations. Proven expertise in integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc., Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Experience in MLOPs frameworks (BentoML,Kubeflow or similar technologies) and exposure to LLMOPs Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs. Understanding of security and ethical best practices for data and model development Contributions to open source projects Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s)

Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities. Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment. Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs. Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components Participate in software design reviews, code reviews and project planning. Write and review documentation and technical blog posts. Contribute to department attainment of organizational objectives and high customer satisfaction Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Minimum 4+ years of hands-on experience developing AI-based applications using Python. Experience using deep learning frameworks (TensorFlow, PyTorch, or Keras) Experience in Pydantic Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations. Proven expertise in integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc., Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Experience in MLOPs frameworks (BentoML,Kubeflow or similar technologies) and exposure to LLMOPs Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs. Understanding of security and ethical best practices for data and model development Contributions to open source projects Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s)

Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities. Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment. Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs. Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components Participate in software design reviews, code reviews and project planning. Write and review documentation and technical blog posts. Contribute to department attainment of organizational objectives and high customer satisfaction Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Minimum 4+ years of hands-on experience developing AI-based applications using Python. Experience using deep learning frameworks (TensorFlow, PyTorch, or Keras) Experience in Pydantic Solid understanding of ML/AI concepts: EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations. Proven expertise in integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc., Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Experience in MLOPs frameworks (BentoML,Kubeflow or similar technologies) and exposure to LLMOPs Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs. Understanding of security and ethical best practices for data and model development Contributions to open source projects Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s)

Design, develop, implement AI and Generative AI solutions to address business problems and achieve objectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments Stay up to date with the latest AI/ML advancements, exploring new technologies, algorithms, and methodologies to enhance product capabilities. Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. Understand the IBM tool and model landscape and work closely with cross-functional teams to leverage these tools, driving innovation and alignment. Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs. Exercise best practices in agile development and software engineering. Code, unit test, debug and perform integration tests of software components Participate in software design reviews, code reviews and project planning. Write and review documentation and technical blog posts. Contribute to department attainment of organizational objectives and high customer satisfaction Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Minimum 4+ years of hands-on experience developing AI-based applications using Python. Experience using deep learning frameworks (TensorFlow, PyTorch, or Keras) Experience in Pydantic Solid understanding of ML/AI concepts:EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, their capabilities and limitations. Proven expertise in integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such as Langchain,Langraph,CrewAI etc., Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Experience in MLOPs frameworks (BentoML,Kubeflow or similar technologies) and exposure to LLMOPs Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization, leveraging NLP and integrating with backend systems and APIs. Understanding of security and ethical best practices for data and model development Contributions to open source projects Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, and maintaining data processing systems working in containerized environments (Docker, OpenShift, k8s) <

Design, develop, implement AI and Generative AI solutions to address business problems and achieveobjectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, andoptimizeAI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor andmaintaindeployed models, ensuring consistent performance and reliability in production environments Stay up to date with the latest AI/ML advancements, exploringnew technologies, algorithms, and methodologies to enhance product capabilities. Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. Understand the IBM tool and model landscape and work closely with cross-functional teams toleveragethese tools, driving innovation and alignment. Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs. Exercise best practices in agile development and software engineering.Code, unit test, debug and perform integration tests of software components Participatein software design reviews, code reviews and project planning. Write and review documentation and technical blog posts. Required education Bachelor's Degree Preferred education Doctorate Degree Required technical and professional expertise Minimum 6 years of hands-on experience developing AI-based applications using Python. 2+ years of experience using deep learning frameworks (TensorFlow,PyTorch, orKeras) Solid understanding of ML/AI concepts:EDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, theircapabilitiesand limitations. Provenexpertisein integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such asLangchain,Langraph,CrewAIetc., Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, andmaintainingdata processing systems working in containerized environments (Docker, OpenShift, k8s) Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Experience in MLOPs frameworks (BentoML,Kubefloworsimilar technologies) and exposure to LLMOPs Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization,leveragingNLPand integrating with backend systems and APIs. Understanding of security and ethical best practices for data and model development Contributions toopen sourceprojects

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : React.js Good to have skills : Node.js, AWS CloudFormation, DevOps, Automation unit testing and in, IAC, Jenkins, Git, SOA, EDA, R Minimum 3 year(s) of experience is required Educational Qualification : min 15 years of fulltime education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using React.js. Your typical day will involve working with AWS CloudFormation, DevOps, Node.js, Automation unit testing, IAC, Jenkins, Git, SOA, EDA, and R to deliver high-quality solutions. Roles & Responsibilities: Design, develop, and maintain high-quality applications using React.js. Collaborate with cross-functional teams to identify and prioritize application requirements. Develop and maintain automated unit tests to ensure code quality and integrity. Implement DevOps practices to streamline application development and deployment processes. Utilize IAC, Jenkins, Git, SOA, EDA, and R to design, build, and configure applications to meet business process and application requirements. Professional & Technical Skills: Must To Have Skills:Proficiency in React.js. Good To Have Skills:Experience with AWS CloudFormation, DevOps, Node.js, Automation unit testing, IAC, Jenkins, Git, SOA, EDA, and R. Strong understanding of software engineering principles and best practices. Experience with agile development methodologies. Solid grasp of database design and development. Experience with RESTful web services and API development. Additional Information: The candidate should have a minimum of 3 years of experience in React.js. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. This position is based at our Bengaluru office. Qualification min 15 years of fulltime education