3120 Artificial Intelligence Jobs - Page 26

Job Title- Name List Screening and Transaction Screening Model Strats, AS Location- Bangalore, India Role Description Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Banks business and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. You will work within the Global Strategic Analytics Team as part of a global model strategy and deployment of Name List Screening and Transaction Screening. To be successful in that role, you will be familiar with the most recent data science methodologies and have a delivery-centric attitude, strong analytical skills, and a detail-oriented approach to breaking down complex matters into more understandable details. The purpose of Name List Screening and Transaction Screening is to identify and investigate unusual customer names and transactions and behavior, to understand if that activity is considered suspicious from a financial crime perspective, and to report that activity to the government. You will be responsible for helping to implement and maintain the models for Name List Screening and Transaction Screening to ensure that all relevant criminal risks, typologies, products, and services are properly monitored. We are looking for a high-performing Associate in financial crime model development, tuning, and analytics to support the global strategy for screening systems across Name List Screening (NLS) and Transaction Screening (TS). This role offers the opportunity to work on key model initiatives within a cross-regional team and contribute directly to the banks risk mitigation efforts against financial crime. You will support model tuning and development efforts, support regulatory deliverables, and help collaborate with cross-functional teams including Compliance, Data Engineering, and Technology. What well offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Support the design and implementation of the model framework for name and transaction screening including coverage, data, model development and optimisation. Support key data initiatives, including but not limited to, data lineage, data quality controls, and data quality issues management. Document model logic and liaise with Compliance and Model Risk Management teams to ensure screening systems and scenarios adhere to all model governance standards Participate in research projects on innovative solutions to make detection models more pro-active Assist in model testing, calibration and performance monitoring. Ensure detailed metrics & reporting are developed to provide transparency and maintain effectiveness of name and transaction screening models. Support all examinations and reviews performed by regulators, monitors, and internal audit Your skills and experience Advanced degree (Masters or PhD) in a quantitative discipline (Mathematics, Computer Science, Data Science, Physics or Statistics) 1–3 years experience in data analytics or model development (internships included). Proficiency in designing, implementing (python, spark, cloud environments) and deploying quantitative models in a large financial institution, preferably in Front Office. Hands-on approach needed. Experience utilizing Machine Learning and Artificial Intelligence Experience with data and the ability to clearly articulate data requirements as they relate to NLS and TS, including comprehensiveness, quality, accuracy and integrity Knowledge of the bank’s products and services, including those related to corporate banking, investment banking, private banking, and asset management How we’ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information https://www.db.com/company/company.htm

We are seeking a highly skilled and experienced AI/ML Lead to spearhead the development and execution of our AI build plan and investment strategy. The ideal candidate will possess a deep understanding of AI/ML technologies, strong leadership abilities, and a proven track record of delivering successful AI initiatives. Responsibilities : AI Build Plan Development : - Conduct in-depth analysis of business requirements and identify AI/ML opportunities to drive growth and efficiency. - Develop a comprehensive AI build plan outlining strategic objectives, technology roadmap, and resource allocation. - Prioritize AI initiatives based on business impact, feasibility, and ROI. - Collaborate with cross-functional teams to align AI strategy with overall business goals. AI Investment Strategy : - Define AI investment criteria and evaluate potential AI projects for funding. - Develop financial models to assess the ROI of AI initiatives and justify investments. - Manage AI budget allocation and track spending against the approved plan. AI Team Leadership : - Build and lead a high-performing AI team of data scientists, machine learning engineers, and other AI professionals. - Provide technical guidance and mentorship to team members. - Foster a culture of innovation and experimentation within the AI team. AI Model Development and Deployment : - Oversee the development and deployment of AI models across various business domains. - Ensure the quality, accuracy, and scalability of AI models. - Monitor model performance and implement necessary improvements. Technology Evaluation and Adoption : - Stay up-to-date with the latest advancements in AI/ML technologies. - Evaluate new AI tools and platforms to identify potential benefits for the organization. - Drive the adoption of AI technologies across the enterprise. Required Qualifications : - Strong proficiency in Python, C++, and deep learning frameworks (Keras, TensorFlow, PyTorch, etc.) - Extensive experience in machine learning algorithms (CNNs, RNNs, LSTMs, Seq2seq) and neural network architectures. - Proven ability to create and optimize AI models for various use cases. - Deep understanding of performance and accuracy metrics for different AI models. - Experience with AI model optimization for CPUs and GPUs. - Knowledge of machine learning accelerators and related software. - Excellent communication and interpersonal skills. - Strong analytical and problem-solving abilities. - Experience with open-source tools for AI model optimization (TF/ONNX/PyTorch). - Exposure to GenAI technologies and their potential applications. Preferred Qualifications : - Experience in leading AI projects from inception to deployment. - Knowledge of cloud platforms (AWS, Azure, GCP). - Experience with big data technologies and tools. - A Master's or Ph.D. degree in computer science, statistics, or a related field.

Job Description: Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) • Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. • Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) • Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning • Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models • Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. • Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) • Experience applying various machine learning techniques and understanding the key parameters that affect their performance • Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs • Excellent verbal and written communication • Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: • Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: • Connect with internal / external POC to understand the business requirements • Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis • Create project plan and sprints for milestones / deliverables • Spin VM, create and optimize clusters for Data Science workflows • Create data pipelines to ingest data effectively • Assure the quality of data with proactive checks and resolve the gaps • Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms • Research whether similar solutions have been already developed before building ML models • Create optimized data models to query relevant data efficiently • Run relevant ML / DL algorithms for business goal seek • Optimize and validate these ML / DL models to scale • Create light applications, simulators, and scenario builders to help business consume the end outputs • Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively • Integrate and operationalize the models in client ecosystem • Document project artifacts and log failures and exceptions. • Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks

Job Title: Generative AI Artist (Adobe Expert) Location: [Remote / On-site / Hybrid Specify Location] Department: GBS Marketing India Reports To: Head of GBS MA2 --- Job Overview: Were seeking a talented Generative AI Artist who blends creativity with cutting-edge technology. The ideal candidate is a visionary creator skilled in AI-powered content generation and Adobe Creative Suite, capable of producing unique, high-quality visuals, animations, and multimedia experiences. You will help us push the boundaries of design by combining artistic sensibility with Gen AI tools (like Adobe Firefly, Midjourney, DALLE, etc.) and conventional creative workflows. --- Key Responsibilities: Design and create visually compelling digital artwork using Generative AI tools. Combine traditional creative tools (Photoshop, Illustrator, After Effects, etc.) with Gen AI to develop innovative concepts and assets. Collaborate with marketing, product, and design teams to understand creative briefs and deliver assets aligned with brand objectives. Develop mood boards, storyboards, and prototypes for campaigns, digital experiences, and visual storytelling. Train and fine-tune AI tools using internal brand data or reference visuals for better output. Stay on top of trends in AI-generated art, digital creativity, and visual design innovations. Establish best practices for integrating AI in creative pipelines, balancing automation with human-centric design. --- Required Skills & Experience: 36 years of experience in digital art, creative design, or visual storytelling. Proven expertise in Adobe Creative Suite: Photoshop, Illustrator, After Effects, Premiere Pro, InDesign. Hands-on experience with Gen AI tools such as Adobe Firefly, DALLE, Midjourney, RunwayML, Stable Diffusion, etc. Strong portfolio showcasing AI-generated visuals alongside Adobe-crafted assets. Deep understanding of composition, color theory, typography, and motion design. Ability to work in a fast-paced, iterative environment and translate abstract ideas into visual narratives. Experience with prompt engineering and visual prompt optimization is a big plus. --- Preferred Qualifications: Degree in Fine Arts, Visual Communication, Graphic Design, Digital Media, or a related field. Familiarity with 3D tools (e.g., Blender, Adobe Substance) and video editing workflows. Experience working in advertising, entertainment, gaming, or tech industry. Knowledge of creative automation tools, scripting (e.g., Adobe ExtendScript, Python), or AI model fine-tuning is a bonus. --- What We Offer: Creative freedom to explore and shape the future of AI-assisted design. Collaborative culture at the intersection of art, tech, and innovation. Access to premium creative tools and Gen AI platforms. Opportunities for career growth in AI, visual storytelling, and future media. Competitive salary, benefits, and hybrid work flexibility. To Apply: Please submit your resume, portfolio (with examples of AI-generated and Adobe-designed work), and a short cover letter highlighting your experience in blending creativity with technology.

We are seeking a Data Scientist with 2 to 5 years of experience to join our AI/ML team. The ideal candidate will work under the guidance of a team lead to develop and implement machine learning solutions, with a focus on Natural Language Processing (NLP) and generative AI applications. Key Responsibilities: Develop and maintain NLP models and chatbot solutions under the direction of the team lead Implement machine learning algorithms and deep learning models using Python Process, clean, and validate data to ensure high-quality model inputs Create and optimize generative AI solutions for various business applications Collaborate with team members to improve existing models and develop new solutions Document technical processes and maintain codebase Participate in code reviews and team discussions Debug and troubleshoot models to improve performance Monitor model performance and implement necessary updates Prepare and briefing for client presentation Candidate Specification: Bachelor's degree in Computer Science, Data Science, or related field 2+ years of professional experience in data science or machine learning Experience with large language models and transformer architectures Familiarity with chatbot development using RASA (preferable) or other platform Knowledge of MLOps practices and tools Familiarity with cloud platforms (AWS/Azure/GCP) Knowledge on REST APIs Background in implementing production-grade ML solutions Strong proficiency in Python programming Hands-on experience with NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Knowledge of chatbot development and conversational AI Understanding of generative AI concepts and applications Familiarity with version control systems (e.g., Git) Strong analytical and problem-solving skills Technical Skills: Programming Languages:Python (required) ML/AI Frameworks: TensorFlow, PyTorch, scikit-learn NLP Tools: NLTK, spaCy,Hugging Face Transformers Version Control: Git Data Processing: Pandas, NumPy Development Tools: VS Code Soft Skills: Excellent oral and written communication skills Good at client interaction and client communication Presentation skill Good comprehension and articulator Strong team player with ability to take direction from lead Detail-oriented approach to problem-solving Ability to work in a fast-paced environment Good time management skills Eagerness to learn and adapt to new technologies Perks and Benefits: 5 days working Good work environment Great learning opportunity Work life balance

Mandatory Skills : Python, Machine Learning Models, Flask, Data Visualization Tools. Good to have : Gen AI, NLP, Cloud (AWS) etc Notice Period : Immediate - 30 days Relevant Experience : 5+ Years in Machine Learning Responsibilities : - Design, develop, and deploy machine learning models and algorithms. - Perform data analysis to extract insights and identify patterns. - Develop and implement feature engineering processes to enhance model performance. - Collaborate with data scientists and cross-functional teams to understand business requirements and translate them into technical solutions. - Build and maintain scalable data pipelines and infrastructure. - Develop and deploy machine learning applications using Flask, FastAPI, or Django. - Conduct experiments, model tuning, and evaluate model performance using appropriate metrics. Must-Have Skills : - Python and its libraries (NumPy, pandas, scikit-learn, TensorFlow, PyTorch). - Experience with web frameworks such as Flask, FastAPI, or Django. - Strong understanding of machine learning algorithms and techniques. - Experience with data visualization tools (e.g., Matplotlib, Seaborn). - Strong problem-solving skills and ability to work independently as well as in a team. - Excellent communication skills to effectively convey technical concepts to non-technical stakeholders. Good-to-Have Skills : - Experience with cloud platforms, particularly AWS. - Knowledge of MLOps practices and tools. - Experience with Natural Language Processing (NLP) techniques. - Exposure to Generative AI (GenAI) technologies.

About Us: At Zybisys , were not just another cloud hosting and software development companywere all about pushing boundaries in the FinTech world. We dont just solve problems; we rethink how businesses operate, making things smoother, smarter, and more efficient. Our tech helps FinTech companies stay ahead in the digital game with confidence and flexibility. Innovation is in our DNA, and were always on the lookout for bold thinkers who can tackle big challenges with creativity and precision. At Zybisys, we believe in growing together, nurturing talent, and building a future where technology transforms the way FinTech works. Role & responsibilities We're looking for a Principal Software Architect whos passionate about AI/ML and product innovation. In this role, youll be at the forefront of designing and building smart, AI-driven solutions that tackle complex business challenges. You’ll work closely with teams across product, development, and research to shape our tech strategy and ensure everything aligns with our next-gen platform. If you love pushing the boundaries of technology and driving real innovation, this is the role for you! Key Responsibilities: Architect & Design: Architect, design, and develop large-scale distributed cloud services and solutions with a focus on AI/ML, high availability, scalability, and robustness. Design scalable and efficient solutions, considering factors such as performance, security, and cost-effectiveness. AI/ML Integration: Spearhead the application of AI/ML in solving business problems at scale. Stay at the forefront of AI/ML technologies, trends, and industry standards to provide cutting-edge solutions Product Roadmap : Work closely with Product Management to set the technical product roadmap, definition, and direction. Analyze the current technology landscape and identify opportunities for improvement and innovation. Technology Evaluation: Evaluate different programming languages and frameworks to determine the most suitable ones for project requirements Component Design: Develop and oversee the creation of modular software components that can be reused and adapted across different projects. UI/UX Collaboration: Work closely with design teams to craft intuitive and engaging user interfaces and experiences. Project Oversight: Oversee projects from initiation to completion, creating project plans, defining objectives, and managing resources effectively Team Mentorship: Guide and inspire a team of engineers and designers, fostering a culture of continuous learning and improvement. Innovation & Ideation: Champion the generation of new ideas for product features, staying ahead of industry trends and customer needs. Research & Development: Leading initiatives that explore new technologies or methodologies. Strategic Planning: Participating in high-level decisions that shape the direction of products and services. Industry Influence: Representing the company in industry forums or partnerships with academic institutions. Preferred candidate profile Experience: Minimum of 10 years in software development, with at least 5 years in a scalable software architect role. Technical Expertise: Proficient in software architecture, AI/ML technologies, and UI/UX principles. Leadership Skills: Proven track record of mentoring teams and driving cross-functional collaboration. Innovative Mindset: Demonstrated ability to think creatively and introduce groundbreaking ideas. Communication: Excellent verbal and written skills, with the ability to engage effectively with both technical and non-technical stakeholders. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Perks and benefits A dynamic work environment where your ideas truly matter. Opportunities to attend and speak at industry conferences. Collaboration with cutting-edge technology and tools. A culture that values innovation, autonomy, and personal growth.

Strong python development experience with a focus on AI/ML Experience with GenAI libraries like OpenAI, Hugging face transformers etc. Understanding and practical knowledge of LLMs (GPT, CLaude etc.) and the concepts Familiarity with ML lifecycle : Preprocessing, model training, evaluation, deployment Preferred: Experience with AWS cloud platform and its services

Lets do this. Let’s change the world. In this vital role We are looking for a creative and technically skilled Senior Software Engineer/AI Engineer – Search to help design and build cutting-edge AI-powered search solutions for the pharmaceutical industry. In this role, you'll develop intelligent systems that surface the most relevant insights from clinical trials, scientific literature, regulatory documents, and internal knowledge assets. Your work will empower researchers, clinicians, and decision-makers with faster, smarter access to the right information. . Design and implement search algorithms using NLP, machine learning, semantic understanding, and deep learning models Build and fine-tune models for information retrieval, query expansion, document ranking, summarization, and Q&A systems Support integration of LLMs (e.g., GPT, BERT, Bio BERT) for semantic and generative search Train and evaluate custom models for biomedical named entity recognition, relevance ranking, and similarity search. Build and deploy vector-based search systems using embeddings and vector databases Work closely with platform engineers to integrate AI models into scalable cloud-based infrastructures (AWS, Azure, GCP) Package and deploy search services using containerization (Docker, Kubernetes) and modern MLOps pipelines. Preprocess and structure unstructured content such as clinical trial reports, research articles, and regulatory documents Apply knowledge graphs, taxonomies, and ontologies (e.g., MeSH, UMLS, SNOMED) to enhance search results Build and deploy recommendation systems models, utilize AIML infrastructure, and contribute to model optimization and data processing Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis. Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI. Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging. Continually researching current and emerging technologies and proposing changes where needed. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. Basic Qualifications: Degree in computer science & engineering preferred with 6-8 years of software development experience 2–4 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains. Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers Experience with search technologies like Elasticsearch, OpenSearch, or vector search tools Solid understanding of NLP techniques: embeddings, transformers, entity recognition, text classification Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Proficient in programming language AI/ML, Python, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Preferred Qualifications: Experience in AI/ML, Java, Python Experienced with Fast Pythons API, GraphQL Experience with design patterns, data structures, data modelling, data algorithms Experienced with AWS /Azure Platform, building and deploying the code Experience in Postgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Knowledge of LLMs, generative AI, and their use in enterprise search Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Exposure to MLOps tools like MLflow, Airflow, or SageMaker Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Role & responsibilities

Job Title : AI/ML Engineer (with LLM, Azure, Python & PySpark expertise) Job Description : We are looking for a skilled and experienced AI/ML Engineer to join our data science and AI team. The ideal candidate will have a strong foundation in machine learning, artificial intelligence, and large language models (LLMs), along with deep proficiency in Python, PySpark, and Microsoft Azure services. You will be responsible for developing and deploying scalable AI solutions, working with big data frameworks, and leveraging cloud platforms to operationalize machine learning models. Key Responsibilities : Artificial Intelligence (AI) & Machine Learning (ML): Design, develop, and optimize machine learning and AI models to solve business problems. Perform exploratory data analysis and feature engineering for model development. Use supervised, unsupervised, and reinforcement learning techniques where appropriate. Build AI pipelines and integrate models into production systems. Large Language Models (LLM): Fine-tune and deploy LLMs (e.g., OpenAI, Hugging Face, or custom-trained models). Develop prompt engineering strategies for LLM applications. Implement RAG (Retrieval-Augmented Generation) systems or LLMOps workflows. Evaluate LLM outputs for accuracy, bias, and performance. Python Programming: Write efficient, reusable, and testable Python code for data processing, modeling, and API services. Build automation scripts for data pipelines and model training workflows. Use popular libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy. PySpark and Big Data: Work with large datasets using PySpark for data wrangling, transformation, and feature extraction. Optimize Spark jobs for performance and scalability. Collaborate with data engineering teams to implement end-to-end data pipelines. Microsoft Azure: Deploy models and applications using Azure ML, Azure Databricks, Azure Functions, and Azure Synapse. Manage compute resources, storage, and data security on Azure. Use Azure DevOps for CI/CD of ML pipelines and automation. Cross-Functional Collaboration & Documentation: Collaborate with data engineers, product managers, and business stakeholders to align technical solutions with business needs. Maintain clear documentation of models, code, and workflows. Present technical findings and model outcomes to both technical and non-technical audiences. Required Skills & Qualifications : Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience in AI/ML and data engineering roles. Proficient in Python and PySpark. Experience with cloud platforms, especially Microsoft Azure. Hands-on experience with LLMs (e.g., GPT, BERT, Claude, etc.). Familiarity with ML frameworks like Scikit-learn, TensorFlow, or PyTorch. Solid understanding of ML lifecycle, MLOps, and deployment strategies. Nice to Have : Experience with LLMOps and vector databases (e.g., FAISS, Pinecone). Knowledge of data governance and responsible AI practices. Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate). Experience with REST APIs and containerization (Docker, Kubernetes).

Role & responsibilities Job Description: Salesforce Senior Engineer We are seeking a highly skilled and experienced Salesforce Senior Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and implementing advanced Salesforce solutions, ensuring seamless integration with other enterprise systems. This role requires a deep understanding of Salesforce architecture, best practices, and the ability to lead complex projects. Key Responsibilities Design, develop, and implement scalable Salesforce solutions tailored to business needs. Lead the end-to-end Salesforce development lifecycle, including design, development, testing, and deployment. Deep and broad knowledge of the Salesforce platform, including Agentforce, Salesforce Einstein features, Sales Cloud, Service Cloud, Experience Cloud, Data Cloud Collaborate with cross-functional teams to gather requirements and ensure seamless integration with other systems. Develop custom applications using Apex, Lightning Web Components (LWC), and Visualforce. Maintain data integrity and security by implementing best practices and Salesforce governance policies. Provide technical leadership and mentorship to junior developers and team members. Stay updated with the latest Salesforce features, releases, and best practices. Preferred candidate profile Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. 3+ years of experience as a Salesforce Developer or Engineer. Strong proficiency in Apex, Lightning Web Components (LWC), Visualforce, and Salesforce APIs. Experience with Salesforce integration tools such as MuleSoft or similar middleware solutions. Deep and broad knowledge of the Salesforce platform, including Agentforce, Salesforce Einstein features, Sales Cloud, Service Cloud, Experience Cloud, Data Cloud. Salesforce certifications (e.g., Platform Developer I & II, Application Architect) are highly desirable. Excellent problem-solving skills and ability to work in a fast-paced, agile environment. Strong communication skills, with the ability to collaborate effectively with cross-functional teams. Preferred Skills Experience with CI/CD tools and version control systems (e.g., Git, Bitbucket). Knowledge of Salesforce CPQ, Marketing Cloud, or Service Cloud is a plus. Familiarity with Agile methodologies and project management tools (e.g., Jira).

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Join our dynamic team as a Customer Technology Advisor and become an integral part of our cutting-edge Go-To-Market team. As a certified expert in your field, you will be at the forefront of revolutionizing technology solutions for our valued customers. Working hand in hand with our Kyndryl Consult Partners and customer partners, you will leverage your technical and solution expertise to drive targeted opportunities and exceed customer expectations. In this role, you won't just be another advisor; you will be a trusted ally and visionary, delivering unique and differentiated value to our customers. Through captivating show-and-tell methods such as engaging demos and compelling presentations, you will showcase our credibility and eminence in the industry, leaving a lasting impression on potential customers. As a vital member of our team, you will support Consulting, Advisory, and Architecture activities across Sales, Pre-Sales & Delivery, collaborating closely with Customer Partners and Kyndryl Consult Partners. With your extensive technical knowledge and mastery of the practice-specific domain, you will bring together the breadth of Kyndryl's expertise to develop profitable deals that drive our success. Your dedication to continuous improvement and your passion for our practice will shine through as you showcase your end-to-end knowledge of the domain you align with, as well as the associated subdomains. Your technical prowess, backed by your external certifications, will establish you as a true authority in your field. As a Customer Technology Advisor, you will possess strong technical and business acumen, allowing you to provide value driven solutions within the practice services domain(s). Your exceptional customer facing skills, combined with your articulate communication style and interpersonal finesse, will enable you to effortlessly convey the technical benefits of Kyndryl's capabilities, perfectly matching the unique needs of each customer. As a strategic thinker, you will identify the intricate business and technical requirements of our customers, leveraging the vast capabilities of Kyndryl to generate winning cross-practice solutions. Your ability to develop and deliver compelling demonstrations, proof of concepts, and prototypes will clearly demonstrate the tangible value our offerings bring to our customers, leaving them eager to partner with us. In addition to your technical expertise, you will also take the lead in coordinating the entire pre-sales process, ensuring quality and compliance verification while adhering to Kyndryl best practices. Your collaboration with internal and external stakeholders will generate winning responses and create optimal technical solutions. Moreover, you will actively build and nurture relationships with our external alliance partners, fostering a collaborative environment where joint solutions are co-created. Join our team of forward thinking, tech-savvy professionals and embark on a journey of innovation, growth, and fulfillment. As a Customer Technology Advisor, you will not only shape the future of technology solutions but also make a meaningful impact on the success of our customers and Kyndryl as a whole. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience •Deep domain knowledge of Services offerings and technical solutions in a practice •Demonstrated experience translating distinctive technical knowledge into actionable customer insights and solutions •Prior consultative selling experience •Externally recognized as an expert in the technology and/or solutioning areas, including technical certifications supporting subdomain focus area(s) including: Application Data and AI; Cloud; Core Enterprise and zCloud; Digital Workplace; Network and Edge; Security and Resiliency Preferred Skills and Experience •Bachelor's degree or Master’s degree •5 years of experience (minimum) selling technical services for multi-industry customers Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Experience: Minimum 10+ years in AI/ML or data science, with at least 5 years in a leadership role. Proven experience in banking or financial services is highly preferred. Hands-on with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and tools (Python, SQL, Spark). Experience in Azure ML tools: Databricks etc. Experience with end-to-end model lifecycle management and MLOps. Minimum Qualification: Masters Degree/PhD in Computer Science, Econometrics, Statistics, or related fields.

Okta is seeking a highly skilled Full-Stack Engineer with deep expertise in AWS Bedrock, generative AI, and modern software development to join our fast-moving team at the intersection of developer experience, machine learning, and enterprise software. As part of the Okta Business Technology (BT) team, you will build cutting-edge tools that make AI development intuitive, collaborative, and scalable. If you're passionate about building next-generation AI applications and empowering developers through innovative platforms, this is the role for youJob Duties and Responsibilities Design and develop full-stack applications that integrate seamlessly with Amazon Bedrock AI agents. Build scalable, production-grade AI/ML solutions using AWS Bedrock and the AWS Agent Development Kit. Implement back-end services and APIs to interact with foundation models for tasks such as automated sourcing, content generation, and prompt orchestration. Create intuitive and performant front-end interfaces using Angular that connect with GenAI capabilities. Ensure seamless integration of LLMs and foundation models into the broader application architecture. Explore and rapidly prototype with the latest LLMs and GenAI tools to iterate on new capabilities and features. Build sophisticated AI workflows using knowledge bases, guardrails, and prompt chaining/flows. Deploy and maintain enterprise-ready GenAI applications at scale. Collaborate with business analysts to understand customer needs and use cases, and work with the team to design, develop POCs to test, implement & support solutions Foster strong relationships with teammates, customers, and vendors to facilitate effective communication and collaboration throughout the project lifecycle Perform in-depth analysis of requirements, ensuring compatibility and adherence to established standards and best practicesRequired Skills: 7+ years of robust experience with hands-on development & design experience 3+ years of experience in one or more of the following areasDeep Learning, LLMs, NLP, Speech, Conversational AI, AI Infrastructure, Fine-tuning, and optimizations of PyTorch models. Software development experience in languages like Python (must have) and one from the optional (Go, Rust, and C/C++). Experience with at least one LLM such as Llama, GPT, Claude, Falcon, Gemini, etc. Expertise in AWS Bedrock and the AWS Agent Development Kit is mandatory Hands-on experience with Python libraries including boto3, NumPy, Pandas, TensorFlow or PyTorch, and Hugging Face Transformers Solid understanding of the AWS ecosystem (e.g., CloudWatch, Step Functions, Kinesis, Lambda) Familiarity with full software development lifecycle, including version control, CI/CD, code reviews, automated testing, and production monitoring Knowledge about the ERP, HR technology and Legal business processes is an advantageEducation and Certifications Bachelors degree in Computer Science or a related field, or equivalent practical experience AWS certifications (e.g., AWS Certified Solutions Architect, Machine Learning Specialty) are a plus Experience working with large-scale generative AI or LLM-based applications Knowledge of secure application development and data privacy practices in AI/ML workloads"This role requires in-person onboarding and travel to our Bengaluru, IN office during the first week of employment."

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team We are a dynamic and innovative team of Data Engineers, Data Architects, and Data Scientists based in Bangalore, India. Our mission is to harness the power of data to provide actionable insights that empower executives to make informed, data-driven decisions. By analyzing and interpreting complex datasets, we enable the organization to understand the health of the business and identify opportunities for growth and improvement. Your Impact We are seeking a highly experienced and skilled Senior Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in machine learning models, artificial intelligence (AI), generative AI, and data visualization. Proficiency in Tableau and other visualization tools is essential. This role requires hands-on experience with databases such as Snowflake and Teradata, as well as advanced knowledge in various data science and AI techniques. The successful candidate will play a pivotal role in driving data-driven decision-making and innovation within our organization. Key Responsibilities Design, develop, and implement advanced machine learning models to solve complex business problems. Apply AI techniques and generative AI models to enhance data analysis and predictive capabilities. Utilize Tableau and other visualization tools to create insightful and actionable dashboards for stakeholders. Manage and optimize large datasets using Snowflake and Teradata databases. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Mentor and guide junior data scientists, fostering a culture of continuous learning and development. Communicate complex analytical concepts and results to non-technical stakeholders effectively. Key Technologies & Skills: Machine Learning ModelsSupervised learning, unsupervised learning, reinforcement learning, deep learning, neural networks, decision trees, random forests, support vector machines (SVM), clustering algorithms, etc. AI TechniquesNatural language processing (NLP), computer vision, generative adversarial networks (GANs), transfer learning, etc. Visualization ToolsTableau, Power BI, Matplotlib, Seaborn, Plotly, etc. DatabasesSnowflake, Teradata, SQL, NoSQL databases. Programming LanguagesPython (essential), R, SQL. Python LibrariesTensorFlow, PyTorch, scikit-learn, pandas, NumPy, Keras, SciPy, etc. Data ProcessingETL processes, data warehousing, data lakes. Cloud PlatformsAWS, Azure, Google Cloud Platform. Minimum Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. Minimum of [X] years of experience as a Data Scientist or in a similar role. Proven track record in developing and deploying machine learning models and AI solutions. Strong expertise in data visualization tools, particularly Tableau. Extensive experience with Snowflake and Teradata databases. Excellent problem-solving skills and the ability to work independently and collaboratively. Exceptional communication skills with the ability to convey complex information clearly. Preferred Qualifications (Provide up to five (5) bullet points these can include soft skills) Excellent communication and collaboration skills to work effectively in cross-functional teams. Ability to translate business requirements into technical solutions. Strong problem-solving skills and the ability to work with complex datasets. Experience in statistical analysis and machine learning techniques. Understanding of business domains such as sales, financials, marketing, and telemetry.

Meet the Team Ciscos Distributed Systems Engineering (DSE) team builds the foundational software that powers the worlds largest, most demanding data centers . The PI-Common team is at the core if this, as we build the routing protocols and infra, that are the heart of data centers. As AI/ML workloads explode and cloud-scale infrastructure becomes the norm, the industry is transformingand Cisco is leading the way. Our NX-OS operating system, running on industry-leading Cisco Nexus switches , delivers the performance, programmability, and reliability needed for modern data center networks. At DSE, we combine open-source innovation, deep systems engineering, and hardware-software co-design to build platforms that scale globally and evolve rapidly. Were looking for passionate engineers who thrive on solving complex problems, building distributed systems, and working hands-on with real-world infrastructure. Your Impact Youll be part of a high-performing team driving innovation across Ciscos data center portfolio , which includes Nexus 9000 series switches , NX-OS , and technologies like Routing Protocols, Routing Infra, Virtualization, VXLAN EVPN , segment routing , and telemetry . Youll engage closely with senior engineers, architects, and open-source communities, influencing product direction and technical strategy. Minimum Qualifications B.E./B.Tech in Computer Science, ECE, or a related field 59 years of software development experience Strong proficiency in C programming in multi-threaded, embedded environments In-depth understanding of routing protocols such as OSPF , ISIS , and BGP Solid grasp of networking fundamentals (TCP/IP, multicast, switching, forwarding) Experience working with or developing for NX-OS or similar network operating systems Strong understanding of OS internals , IPC , memory management , and HA systems Familiarity with YANG , SNMP , or model-driven telemetry Experience in scripting with Python Strong problem-solving and debugging skills Excellent communication and collaboration skills Preferred Qualifications Exposure to data center protocols such as Routing, VXLAN , EVPN , or segment routing Exposure to open-source tools, network automation, or configuration frameworks Prior experience building infrastructure at scale Why Cisco At Cisco, we dont just build productswe build the internet . Nearly every data packet in the world touches Cisco hardware or software. Our data center platforms serve as the backbone for hyperscalers, enterprises, and mission-critical services globally. We combine the stability of a global brand with a culture of innovation . Youll work on meaningful technology, grow with the best minds in the industry, and help create the next wave of networking solutions AI-ready, cloud-native, and highly programmable . We support individuality, diversity, and continuous learning. And yes, we give backevery Cisco employee gets dedicated days each year for community impact. Ready to engineer the futureApply now and join the PI-Common team at Cisco DSE.

Get the passdown Capture information from supervisors and planning reports Build an action plan Implement and communicate the plan Assess and evaluate plan results Make necessary adjustments Monitor progress Maintain equipment Diagnose equipment problems and implement solutions Evaluate problems using validated detailed troubleshooting methods Ensure record keeping/documentation in equipment tracking system Perform preventive maintenance Perform calibrations on area equipment Select and utilize accurate test equipment and tools Align with standardized procedures and guidelines Stay ahead of on process and equipment procedures Keep work areas clean and organized Monitor equipment performance and address deviations Extract data from applicable sources Ensure reliability of data Measure process metrics Identify equipment inaccuracy or inefficiency Communicate trends of machine performance Contain deviation or inefficiencies Communicate information to appropriate personnel Provide communication between ES, Engineering, and Production Communicate with production to relay problems, changes, or request information as needed Provide feedback observations and data to the engineering group to help resolve chronic problems or experiments Customer Service Respond quickly and positively to all customers Reprioritize work when customer needs arise Continuous Improvement Assist engineer on projects to improve overall test equipment efficiency and effectiveness Support continuous improvement projects to improve yield Propose and execute improvement projects to desired results Perform FA analysis from PE request Adhere to and Promote Safety Identify and promptly report hazards Follow safety procedures and area work rules including proper PPE, lockout and chemical safety. Operate and maintain equipment and tools within manufacturers and company guidelines. Use proper lifting techniques and work in an ergonomically correct manner.

As a Gobal Assembly & Test Automation Integration Engineer, your primary responsibility is to propose and implement Automation Material Handling System (AMHS) solutions which enable labor productivity improvement, cycle time reduction and quality/yield improvements. You will collaborate closely with respective process and equipment team to identify improvement opportunities, then design and implement solutions through external benchmarking and close partnership with automation and vendors. In this role, you are expected to lead in enabling automated transport solution from idea generation, defining standard, selection of vendor, design of solution, and deployment to production release. Responsibilities and Tasks Coordinate and collaborate with Equipment/Process engineer to identify gap and improvement opportunities. Analyze process flow, product movement, equipment layout to identify opportunity of improvement Prepare and setup brainstorming sessions with respective process, equipment, new products owners and key equipment suppliers to generate ideas for improvement opportunities. Drive continuous improvement for AMHS performance cross site Collaborate and drive cross functional team to successfully implement AMHS integration solution that improved cycle time, productivity and quality Design solutions through external benchmarking and partnership with AMHS vendors Develop and define the standard for Backend AMHS delivery requirement Performs research and survey on industrial best practice for AMHS design and implementation Partner with vendors to design solutions to meet improvement objectives Plan overall project within expected scope, budget and timeline Generate modeling of automated systems in Assembly & Test facilities to assist in defining standard, equipment requirements, and implement the required changes Develop and drive key metrics and reports for AMHS performance in the across all sites Align all backend sites and drive towards achieving Best-In-Class Performance Develop standard work process for AMHS implementation across sites Define the requirements for AMHS SW and equipment integration Lead implementation of AMHS integration solutions Acts as key interface to AMHS vendor throughout project management lifecycle Continue to collaborate with important stakeholders such as process & equipment owners, manufacturing to ensure improvement objectives are met Setup regular meeting with cross functional team to ensure AMHS capacity is able to support successful production ramp up Education Required: Degree in Mechanical, Electrical, Electronics or Industrial Engineering Experience 2 to 3 years of experience with AMHS (Automated Material Handling Systems), ASRS, AGV, equipment integration, project management is preferred. Fresh Graduate welcome. Familiar with MES (Manufacturing Execution Systems) and SEMI standard protocol such as E84, E87 Experience with MCS (Material Control System) is advantageous.

As an Experienced Software Engineer at JPMorgan Chase within the Global Technology team, you serve as member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. Depending on the team that you join, you could be developing mobile features that give our customers and clients more control over how they bank with us, strategizing on how big data can make our trading systems quicker, creating the next innovation in payments for merchants, or supporting the integration of our private and public cloud platforms. Job Responsibilities Participates in, design and develop scalable and resilient systems using Java to contribute to continual, iterative improvements for product teams Executes software solutions, design, development, and technical troubleshooting Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces or contributes to architecture and design artifacts for applications while ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Min 8+ years strong hands on experience as a JAVA Programmer Hands-on practical experience in system design, application development, testing and operational stability Proficient in coding in Java language Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (eg, cloud, artificial intelligence, machine learning, mobile, etc) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies

As an Automation Engineer, you will be enabling factory automation solutions to aid Assembly Test manufacturing goals on cycle time, inventory, quality and productivity. You are expected to assimilate core expertise on mechanical or electrical design, sub-components, industry best practices, safety requirements. You must collaborate with network teams - site automation, central/ site PEE, procurement, safety EHS - for surfacing opportunities, selecting solution providers, standardizing design, reviewing safety standards. You will build strategic partnership with automation vendors and drive their roadmap to align to Micron needs. Responsibilities and Tasks Establish standards to enable automation solutions Standardize mechanical and electrical design, sub-assemblies, process control & vision solutions Ensure supplier compliance to safety & ergonomic standards, both SEMI and country specific codes Standardize design for WIP carriers - FOUPS, Cassette, Magazine, JEDEC tray, PCB Racks etc Develop and review process tool automation requirements (TAR) catered to AMHS & Stocker interfaces Augment factory tool layout standards catered to AMHS, stockers and ASRS requirements Publish Design for Automation guidelines on new products Review opportunities and build roadmap on global factory automation Approve design review on automation solutions Ensure standardization on designs across the network based on BKMs or prototyping experience Review technical procurement specification (Doc2/TAR) in purchase orders to vendors Establish & review ROI analysis methodology Strategic partnership with automation solution provider Performs research and survey on industrial best practices and automation direction Leverage supplier technology roadmap to align with Micron automation needs Develop and drive innovation that reaps significant bottom-line benefits Provide models for cost and lead-time to drive effective negotiation with suppliers Establish performance KPIs for automation solution at manufacturing network Ensure solutions meet the requirements on payback analysis published Create & publish metrics related to AMHS, stocker and automation tools. Review and drive system performance improvement through CIP program

As the Equipment & Process Section Manager for the Test Department, the successful candidate will be based in GJ India, reporting to the Test Engineering Senior Manager, and be responsible for all Equipment Support (E.S.), Equipment/Process Engineering and supporting Test Operations/Technical Staff, growing the organization into a world class team. Your responsibilities may include, but are not limited to: Managing all aspect of Equipment Support and Equipment/Process Engineering functions for the department. Budgeting, recruiting, hiring, and training of Equipment/Process team, to meet Test Operation output needs. Budgeting, monitoring, controlling and improvement of Equipment/Process related expenses. Setting up of all Equipment Engineering and Equipment Support processes, including maintenance procedures. Ensuring proper Equipment/process related documentation is in place for the Test site. Interacting with peers and other Departments globally as required. Monitoring, reporting, improving, and addressing issues with throughput, performance metrics, and other engineering data. Responsible for performance of all equipment in the department Responsible for ensuring availability of equipment, materials, spares, repairs, consumables, to support the operation and manufacturing ramp-up. Performance management of the Equipment Support Team and its members Development of the Equipment Support Team and its members from Skills and Leadership perspective Responsible for Disciplinary issues within Equipment Section team. Qualifications Have a minimum 7 years technical staff leadership experience Have good communication, interpersonal, relationship building, and team building skills Have strong analytical, troubleshooting, resource and performance management skills Be proficient with reporting and data tools and manufacturing software systems, and engineering and equipment support software applications. Have extensive knowledge of ATE, burn in or/and AOI scanner/laser marker/packing equipment & process Be fluent in English Possess an Engineering Degree

Develops, evaluates, revises, and applies technical quality assurance protocols/methods to inspect and test in-process raw materials, production equipment, and finished products Ensures activities and items are in compliance with both company quality assurance standards and applicable government regulations Performs analysis and identifies trends in the inspection of finished products, in-process materials and bulk raw materials, and recommends corrective actions when necessary Ensures that established manufacturing inspection, sampling and statistical process control procedures are followe'd May assure compliance to in-house and/or external specifications and standards, such as GMPs and ISO regulations Evaluates and analyzes the efforts in organizing, documenting, and interpreting inspection support documents and records

Develops, evaluates, revises, and applies technical quality assurance protocols/methods to inspect and test in-process raw materials, production equipment, and finished products Ensures activities and items are in compliance with both company quality assurance standards and applicable government regulations Performs analysis and identifies trends in the inspection of finished products, in-process materials and bulk raw materials, and recommends corrective actions when necessary Ensures that established manufacturing inspection, sampling and statistical process control procedures are followe'd May assure compliance to in-house and/or external specifications and standards, such as GMPs and ISO regulations Evaluates and analyzes the efforts in organizing, documenting, and interpreting inspection support documents and records

Project description We are passionate about transforming lives through cutting-edge technology, enriching industries, communities, and the world. Our mission is to create exceptional products that drive next-generation computing experiences, serving as the foundation for data centers, artificial intelligence, PCs, gaming, and embedded systems. At the core of our mission lies a culture of innovation. We challenge boundaries to solve some of the world's most critical problems. We are committed to execution excellence, fostering a culture of openness, humility, collaboration, and inclusivity, valuing diverse perspectives along the way. Responsibilities Software Engineer (Development and test) Responsible for developing & testing of software Responsible for generating documents, such as design, user-guide, test plan, test spec, test report etc., Skills Must have Candidate should have 5+ yrs experience Experience: Experience in C/C++ programming Experience with Multi-threaded software development in Linux environment Experience with Embedded IP subsystems e.g. Ethernet/PCIe/SPI/I2C/USB/GPIO/Memory architectures /DDR/SDRAM/DMA Experience with development of software targeted for x86, standalone and RTOS platforms Experience in low level driver development, register interface programming, general algorithms and data structures, bootloaders/Uboot Experience with CI tools, test automation, etc. Strong debugging skills at device and board level using JTAG debuggers Experience in Software programming for FPGAs is an advantage Scripting language experience like Perl, Python or TCL Nice to have Excellent interpersonal, written and verbal communication skills Excellent communication, problem solving and analytical skills EducationB.tech/M.Tech in CSE/IT/ECE/EEE/E&I OtherLanguagesEnglishB2 Upper Intermediate SeniorityRegular