4415 Artificial Intelligence Jobs - Page 41

Position Summary : The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions and integrating cutting-edge generative AI technologies. This role requires a foundational understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating enthusiasm for learning and contributing to project success. Mandatory Skills & Experience : - A passionate developer with 3+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team. - Foundational experience in software development, with exposure to AI/ML technologies. - Proficiency in GenAI frameworks : Experienced in using GenAI frameworks and libraries such as OpenAI API. - Prompt engineering : Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. - Experience developing solutions that leverage cloud-native technologies-featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. - Strong verbal and written communication skills (English). - Positive and solution-oriented mindset. - Experience delivering Agile and Scrum projects in a Jira-based project management environment. Desired Skills & Experience : - Understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - AI ethics and bias mitigation: Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. - Knowledgeable about vector databases, LLMs, and integrating with such models. - Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e.g, Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). - Understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community. - Recognized with cloud and technical certifications, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification : - At least one recognized cloud professional / developer certification (AWS/Google/Microsoft). Key Responsibilities : - Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. - Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. - Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. - Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (e.g, Kubernetes/CNCF) and partner technologies. - Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery : - Engineer innovative GenAI solutions from ideation to MVP, ensuring high performance and reliability within cloud-native frameworks. - Optimize AI models for deployment in cloud environments, balancing efficiency and effectiveness to meet client requirements and industry standards. - Assess existing complex solutions and recommend appropriate technical treatments to transform applications with cloud-native/12-factor characteristics. - Refactor existing solutions to implement a microservices-based architecture. Client Relationships : - Provide expert guidance to clients on incorporating GenAI and machine learning into their cloud-native systems, ensuring best practices and strategic alignment with business goals. - Conduct workshops and briefings to educate clients on the benefits and applications of GenAI, establishing strong, trust-based relationships. - Perform a trusted advisor role, contributing to technical projects (PoCs and MVPs) with a strong focus on technical excellence and on-time delivery.

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder. Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance This role will work closely with business analysts and trade surveillance users Provide effort estimates of based on requirements to project managers Adhere to best practices, coding standards Keep the specification documentation updated and version controlled in Share point Skills Must have Technical: 5+ years of hands on experience in Development using q/KDB in financial domain. Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real world problems is a definite plusFunctional: Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must. Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus Others: Education Degree or above in Information Technology, Computer Science or equivalent Excellent verbal and written communications skills Good knowledge of release process and control procedures. Strong experience in dealing with geographically diverse teams globally Nice to have Python, Machine Learning, Artificial Intelligence, Investment Banking Other Languages EnglishC2 Proficient Seniority Senior

UiPath RPA developer Job mode: Hybrid Job Type: Contract with Client and FTE with iMedhas Notice - 30 days Experience: 5 to 10 years Budget - 5 to 10 LPA Job Requirements: Hands on experience on RPA tools and cognitive platforms such as UiPath, Blue Prism, Automation Anywhere, etc. UiPath experience is highly preferred. 2+ years experience in any of the programming languages like C/C++, Python, VB Script, Ruby, Java, JS, .Net. Basic programming knowledge on HTML, JavaScript (or any scripting language). Able to design technical specification documents for RPA Projects. Experience developing and consuming APIs. UiPath RPA Developer certifications preferred but not required (training can be provided). Experience with Agile development methodology. Experience with Databases (SQL or NoSQL) often preferred. Knowledge of artificial intelligence and machine learning. Understanding of workflow-based logic. Strong attention to detail and analytical skills. Superior time and project management skills. Ability to present technical details to non-technical audiences. Excellent problem solving/analytical skills and complex troubleshooting methods. Ability to work through ambiguous situations. Excellent presentation, verbal, and written communication skills. Self-motivated, able to work independently, and able to take initiative without always being directed. Ability to multitask in a fast paced environment and prioritize the most critical tasks and projects.

Work Location : Hyderabad/ Bangalore Working Hours : 2PM to 11PM IST Mid-Level ML Engineers / Data Scientist Role : (4-5 years of experience ) - Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data using Pandas and PySpark - Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling. - Experience applying various machine learning techniques and understanding the key parameters that affect their performance. - Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning). - Experience with Python and Python packages like NumPy, Pandas and deep learning frameworks like TensorFlow, Pytorch and Keras - Experience in Big Data ecosystem with frameworks like Spark, PySpark , Unstructured DBs like Elasticsearch and MongoDB - Proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc. - Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL). - Previous experience in ML, data scientist or optimization engineer role with a large technology company. - Experience in an operational environment developing, fast-prototyping, piloting, and launching analytic products. - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. - Experience in creating data driven visualizations to describe an end-to-end system. - Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research, and business backgrounds. - Bachelors or Masters in Artificial Intelligence, Computer Science, Statistics, Applied Math, or a related field.

The Role. The ideal candidate for this role will be an innovative self-starter. You will be an AI expert with experience in making architectural tradeoffs to transform AI performance for a variety of use cases. You will collaborate with internal and external development engineers (architecture, hardware, validation, software services). You will contribute to development, support device characterization and benchmarking :. Proficiency in Large Models & Deep Neural Networks. Hands-on experience in working with large models & deep neural networks. Expertise in LLMs with working knowledge of large language models (LLMs). Extensive experience in System platform Architecture. Experience in Development Preferable for memory/storage/ any embedded system. In depth knowledge and extensive experience in dealing with Standardizations/Technical Papers/Patents. Extensive experience with C/C++ and Python programming. Develop and fine-tune LLMs (GPT, Llama, Mistral, Falcon, Claude, etc.) for domain-specific applications. Implement RAG pipelines using LlamaIndex, LangGraph, and vector databases (FAISS, Pinecone, Weaviate, ChromaDB) to enhance response accuracy. Build AI-powered chatbots and autonomous agents using LangGraph, CrewAI, LlamaIndex, and OpenAI APIs. Optimize and deploy generative AI models for real-time inference using cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, MLflow). Fine-tune models using LoRA, QLoRA, PEFT, and RLHF to improve efficiency and personalization. Develop AI-driven workflows for structured reasoning and decision-making using CrewAI and LangGraph. Integrate multi-modal AI models (text, image, speech) into enterprise solutions. Implement memory and retrieval strategies for LLM-based systems using vector search and caching techniques. Ensure AI models follow ethical AI guidelines, bias mitigation, and security best :. Tech in Computer Science, Electrical Engineering. 8 to 10 Years of experience in relevant domain. Strong analytical & abstract thinking ability as well as technical communication skills. Able to work independently and perform in fast paced environment. Ability to troubleshoot and debug complex issues. Working Knowledge on Device Driver is desirable. Prior experience in working with Skills :. Languages & Frameworks Proficiency in Python, PyTorch, TensorFlow, JAX. (ref:hirist.tech).

Role Expectations. Salesforce Service Cloud and Contact Center :. Designs and implements best in class Salesforce based call center solutions. Optimizes customer and agent experiences, processes, workflows and on-line and call handling best practices using Salesforce capabilities including Experience Cloud, Service Cloud, Service Voice, CPQ, BOTs, SMS, On-line Sites and Order Management, Data Cloud, Einstein/Gen AI, Unified Knowledge. Ensures a seamless omnichannel and end-to-end optimal Contact Center customer and agent experience. Leadership. Leads and mentors a team of Salesforce practitioners. Ensures adherence to best practices in Salesforce. Solution Design. Participates in and leads pre-sales meetings and sales opportunities. Establishes scalable solutions aligned with client needs, estimates level of effort and prepares proposals. Presents proposals and solutions to clients. Leads, participates in, and facilitates customer requirements definition and solution design workshops. Prepare detailed solutions and blueprints. Gathers and maps business requirements to functional/technical requirements and identifies features, gaps, and solutions out-of-the-box, custom, and creates innovative solutions. Project Delivery. Oversees and leads the design, build and run of Salesforce Solutions. Assesses and makes recommendations on business process, design, building, testing, and run of project solutions. Understands the technical depth of the project and validates the correct resources for the project. Oversees demos development and works closely with users on user acceptance testing. Works closely with clients to assess their architecture, and architects' solutions that meet their requirements. Manages and completes configurations and customizations, security model, and user setup as needed. Documents and implements configurations, customizations, and data mapping requirements for the engagements. Manages and executes the process of gathering, documenting, and maintaining business/process workflows following standard processes and procedures (business process reviews). Works with project teams and clients to fully communicate requirements, solutions, project progression and provides functional and technical expertise. Works on integrating Salesforce with other systems, data mapping, using APIs and middleware. Leverages Salesforce Einstein/Gen AI-driven insights and automation. Industry Knowledge. Apply industry-specific knowledge to develop tailored Salesforce solutions. Stay informed about industry trends and leverage Salesforce Industry Cloud solutions. Customize Salesforce to meet regulatory and compliance requirements specific to the industry. Continuous Improvement And Innovation. Stay updated with the latest Salesforce features and releases. Recommend and implement improvements for existing and new Salesforce environments. Create innovative solutions. Provide training and support to end-users, clients and project teams. Documentation. Create and maintain comprehensive documentation for all solution designs and implementations. Ensure knowledge transfer and documentation for future reference. Qualifications. A proven Salesforce professional with multiple full lifecycle Salesforce implementations and at least 7+ years of experience working with Salesforce. 10+ years of experience in enterprise software applications. Expert in Service Cloud contact center experience is a must have. Strong knowledge of Salesforce and integration with other systems. Industry-specific experience in sectors such as finance, healthcare, retail, technology, and other major sectors. Experience with Salesforce Einstein and AI-driven solutions, a plus. Required Qualifications. Education :. Minimum bachelors degree in computer science, Information Technology, or related field. Salesforce Certifications. Administrator. Service Cloud. Experience Cloud, a plus. Data Cloud, a plus. Contact Center, Architect Level and other Salesforce Certifications, a plus. Soft Skills. Proven leadership skills. Excellent problem-solving and analytical skills. Excellent communication and interpersonal skills. Team player with ability to work collaboratively in a team environment. Leadership skills with the ability to mentor and guide clients and team members. Attention to detail and commitment to delivering high-quality solutions. Experience in Agile or Scrum methodologies. (ref:hirist.tech).

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.At Target, we have a timeless purpose and a proven strategy and that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, whereTarget in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win Pyramid overview: Merchandising is a large pyramid within Target responsible for vendor negotiations, product selection, merchandise display decisions and the advertising of merchandise. Merchandising drives profitable market share growth by fulfilling our "Expect More, Pay Less" brand promise. By delivering differentiated product offerings for guests at great values, Merchandising ensures Target stores carry everything guests want and need. Position Overview: As a lead engineer, you serve as the technical anchor for the engineering team that supports a product. You create, own and are responsible for the application architecture that best serves the product in its functional and non-functional needs. You'll bring innovative ideas and help set the strategy for the future of our platform. You love keeping abreast of the latest industry trends and use them to help you innovate. You have leadership qualities, good judgment, and clear communication skills. If youre excited to work on a fast-moving, tightly knit team and build solutions to unsolved problems, we want to meet you. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. As a Lead Engineer, youll take the lead as you Understand Target's business and technical environments and assist teams in resolving complex business challenges via current technical solutions by assessing viability/applicability/cost implication through POCs and prototypes. Collaborate with technical staff and Enterprise Architecture teams in setting technical direction across platform and drive technology lifecycle management and communication of standards/decisions to the engineering team. Understand data platform and help users build their business usecases in seamless way. Lead designing and building the Target platform API with deep focus on non-functional requirements including scalability, availability, performance, etc. while being a strong advocate of extreme agile and DevOps practices across engineers. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: Experience in Java/ J2EE, Kotlin,, SQL/ NoSQL (Postgre, MongoDB, Cassandra, graph structure, etc.), Python, Ruby, Chef, Drone, Kubernetes containers, Cloud tech, etc. 7+ years of software development experience with at least one full cycle implementation Demonstrates strong domain-specific knowledge regarding Targets technology capabilities, and key competitors products and differentiating features Demonstrates broad and deep expertise in multiple computer languages and frameworks (e.g., open source). Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure Communicates and coordinates with project team, partners, and stakeholders Demonstrates expertise in analysis and optimisation of systems capacity, performance, and operational health Understands and develops solutions to foster data lifecycle management Maintains deep technical knowledge within areas of expertise Stays current with new and evolving technologies via formal training and self-directed education Experience in building highly scalable distributed systems Understands business fundamentals and how technologies can support business goals along with how to translate business vision into a technical strategy while understanding financial implications and bringing in operational efficiency Has good exposure of how to evaluate 3rd party software packages to align with business needs and also carve out a strategy of Build + Buy possibilities to deliver business requirements with speed, quality and future scalability. Experience in Mainframe decommission strategies and initiatives will be a plus. Know More Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/diversity-and-inclusion

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Job Title : AI Engineer - Azure AI. Key Responsibilities : We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Responsibilities : Agent Development : - Design, implement, and optimize AI agents using Microsoft Azure Framework and related technologies. - Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration : - Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. - Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation : - Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. - Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support : - Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. - Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement : - Stay updated on advancements in AI, machine learning, and Microsofts AI technologies. - Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills : - Strong knowledge of Azure OpenAI, Azure AI Search Index and open source libraries such as LangChain and LlamaIndex. - Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. - Understanding of conversational AI technologies and chatbot frameworks. - Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements : - Bachelors or Masters degree in Computer Science, Data Science, or a related field. - Proven experience in developing and deploying AI/ML models in real-world applications. - Strong programming skills, especially in Python, and familiarity with version control systems like Git. - Extensive experience in the Microsoft environment and related technologies.

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Location : Remote Exp : 8 - 10 We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

About Us JustAnswer is the leading AI + Human professional services platform, on a mission to revolutionize how people access expert help. Since 2003, we ve connected millions of customers across 196 countries with verified professionals in real time anytime, anywhere. With a powerful combination of human expertise and cutting-edge AI, we re transforming the future of professional services. Rooted in boldness, humility, and innovation, we take a data-driven approach to solving complex problems and continuously improving through Lean principles. About the Role Seeking a digital marketing copywriter with 8-10 years of experience in crafting high-converting, on-brand content. Responsibilities include ad copy, landing pages, website and social media content, and scriptwriting to optimize ROAS. Experience in PPC, Display, and B2C/e-commerce is required. Must excel at writing and optimizing content for the US market under tight deadlines. What You ll Do Write High-Impact Ad Copy: Create compelling, high-converting ad content tailored for PPC campaigns across search, display, social, and video platforms. Your words will drive engagement, clicks, and revenue! Optimize with Data-Driven Precision: Develop landing page and ad copy strategies that align with business goals, keyword strategies, and CTAs maximizing conversions while keeping Quality Scores and CTRs soaring. Collaborate Across Teams: Work with UX, product, legal, brand, and engineering teams to ensure content aligns with compliance, branding, and user experience best practices. Refine & Improve Performance: Track KPIs like Quality Score, CTR, CR, ROAS, and margin continuously tweaking and testing to boost campaign success. Experiment & Innovate: Stay ahead of the game by testing emerging ad formats, platforms, and AI-powered tools to discover new growth opportunities. Leverage AI & Automation: Use cutting-edge AI tools to generate high-performing copy, optimizing for engagement, conversions, and profitability. What We re Looking For Copywriting Powerhouse: 8+ years of crafting high-converting ad copy across multiple channels and web pages consistently exceeding performance benchmarks. Wordsmith Extraordinaire: A master of English and content writing, with a keen eye for optimizing ad copy and landing pages that drive engagement and conversions. PPC-Savvy: Familiar with Google Ads & Microsoft Advertising bonus points if you can tweak copy to outshine the competition! AI-Driven & Future-Ready: Comfortable using AI-powered tools to create compelling, on-brand copy across industries, leveraging best practices to maximize impact. Creative Meets Data: A natural at blending creativity with performance insights, crafting high-impact CTAs that not only grab attention but drive action. Results-Obsessed: You know how to prioritize tasks based on revenue potential, always keeping ROI at the forefront. Team Player with a Growth Mindset: Collaborative, proactive, and always ready to jump in where opportunities arise because success is a team sport! Why Join Our Team At JustAnswer, we blend the best of AI and human expertise to make a real impact. Our mission-driven culture values bold ideas, continuous learning, and global collaboration. We offer a flexible, remote-first environment with equitable rewards, career growth opportunities, and a supportive community where your contributions truly matter. Join us and be part of something bigger, helping people, one answer at a time. Our JustAnswer Promise We strive together to make the world a better place, one answer at a time. JustAnswers mission is to help people. We do this by connecting our members with verified Experts to help answer lifes questions and solve problems. It s not every day in your life that you get to be a part of a simple yet powerful mission. We pride ourselves in doing things the JA Way. Data driven: Data decides, not egos Courageous: We take risks and challenge the status quo Innovative: Were constantly learning, creating, and adapting Lean: We focus on customers, using lean testing to learn how to serve them best Humble: Past success is not a guarantee of future success If these things matter to you, come join the team here at JustAnswer! Our Commitment to an Inclusive Workplace We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. JustAnswer is committed to an inclusive workplace. JustAnswer is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. AI Disclosure & Informed Consent Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy . #LI-Remote

"AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS s services and features apart in the industry. As a member of the UC organization, you ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Amazon Q Business is revolutionizing workplace productivity through innovative generative AI technology. As an AI-powered assistant, it transforms how enterprises operate by empowering employees to be more creative, data-driven, efficient, prepared, and productive. Unlike traditional AI assistants, Amazon Q Business leverages advanced artificial intelligence to answer questions, provide summaries, generate content, and securely complete tasks based on enterprise data. Central to its functionality is the ability to unify disparate data sources across organizations. With over 40 secure connectors to popular enterprise applications and document repositories, it offers a seamless search experience that breaks down information silos and enhances collaboration. Additionally, Amazon Q Apps allows employees to quickly create and share generative AI-powered applications, fostering a culture of innovation within the workplace. As a Software Development Engineer II on the Amazon Q Business team, you will play a vital role in designing, developing, and optimizing the platforms core components. Your work will ensure high performance, scalability, and reliability while directly impacting how businesses leverage AI for enhanced operations and data-driven decision-making. Join us in shaping the future of work with Amazon Q Business and be part of a team that is making significant strides in the generative AI landscape for enterprise productivity. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn t followed a traditional path, or includes alternative experiences, don t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We re continuously raising our performance bar as we strive to become Earth s Best Employer. That s why you ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there s nothing we can t achieve in the cloud 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelors degree in computer science or equivalent

Amazon Ads is looking for a Research Science Manager with machine learning and deep learning background to build industry-leading technology for preventing ad fraud at scale. Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. One of the key focus areas is Traffic Quality where we endeavor to identify non-human and invalid traffic within programmatic ad sources, and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale, and leverage nuanced features about user, context, and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend. We are looking for a dynamic, innovative and accomplished research science manager to lead machine learning and data science for the Advertising Traffic Quality vertical. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? As an research science manager for Traffic Quality, you will lead a team of applied scientists, research scientists, data scientists and engineers to deliver to conceptualize and build algorithms that efficiently detect and filter invalid traffic. You will be the single-threaded owner of the algorithms that go into our traffic quality systems and will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms. Your team will include experts in machine learning, statistics and analytics that are working on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works on handling terabyte scale data and implementing features and algorithms that process billions of events per day. You will interface with product managers and operations teams to bring key advertising initiatives to customers. Your strong management skills will be utilized to help deliver critical projects that cut across organization structures and meet key business goals. Major responsibilities Deliver key goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Hire and develop top talent in machine learning and data science and accelerate the pace of innovation in the group Build a culture of innovation and long-term thinking, and showcase this via peer-reviewed publications and whitepapers Work with your engineering team and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production Keep updated on the industry landscape in Traffic Quality and identify algorithm investments to achieve an industry leading traffic quality solution. Learn continuously about new developments in machine learning and AI, as well as recent innovations in creative intelligence and malware detection. Identify how these can be rolled into building an industry leading solution for Amazon advertising * A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field * 5+ years of hands-on experience in big data, machine learning and predictive modeling * 3+ year people management and cross department functional experience * Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building * Strongly motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers, analysts, and business management in achieving superior bottom line results * Strong communication and data presentation skills * Strong ability in problem solving and driving for results * Technical leader with 10+ years of exceptional, hands-on experience in machine learning in e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software. * Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. * Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. * Strong publication record in international conferences on machine learning and artificial intelligence

The Opportunity Were looking for the Wavemakers of tomorrow. What Youll do: Lead layout design activity and work with design team. Produce high quality IPs/AMS Blocks/Macros. Drive Area estimation, floor planning, placement, routing, power planning, verification, EMIR, ESD-LUP verification and tape out activity. Mentor Junior Analog IC Layout engineers. Develop scripts. You will be reporting to Director -Layout Design What youll need: Minimum 6 years of experience in Analog Layout. Minimum Education requirement is bachelors degree in electrical engineering. Understanding of low parasitic, high frequency design techniques. Excellent understanding of analog layout concepts and issues. Experience in handling blocks and macros layout towards successful, high-quality, and execution Experience with Finfet process and lower nodes like 2nm/3nm/5nm/7nm in TSMC foundry. Experience with multiple foundries in lower node eg: Samsung, TSMC, GF. Experience with Cadence tools (Virtuoso), Synopsys (CC), Calibre and ICV verification tools like LVS, DRC, Extraction etc. Experience with EMIR, PERC tools. Skill/TCL scripting experience. "We have a flexible work environment to support and help employees thrive in personal and professional capacities" As part of our commitment to the well-being and satisfaction of our employees, we have designed a comprehensive benefits package that includes: Competitive Compensation Package Restricted Stock Units (RSUs) Provisions to pursue advanced education from Premium Institute, eLearning content providers Medical Insurance and a cohort of Wellness Benefits Educational Assistance Advance Loan Assistance Office lunch & Snacks Facility Equal Employment Opportunity Statement Alphawave Semi is an equal opportunity employer, welcoming all applicants regardless of age, gender, race, disability, or other protected characteristics. We value diversity and provide accommodations during the recruitment process.

AI/ML Developer - Python1 Position Title : AI/ML Developer - Python No of position 1 Location Pune / Hyderabad : Design machine learning systems Research and implement machine learning algorithms and tools Manage and direct research and development processes to meet the needs of our AI strategy Develop machine learning applications in alignment with project requirements and business goals Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems Select appropriate datasets and data representation methods Extend existing machine learning libraries and frameworks Train systems and retrain as necessary Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions Advise leaders on technology, strategy, and policy issues related to AI/ML Coordinating with development teams to determine application requirements. Writing scalable code using Python programming language. Testing and debugging applications. Developing back-end components. Integrating user-facing elements using server-side logic. Assessing and prioritizing client feature requests. Integrating data storage solutions. Coordinating with front-end developers. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Work with the Data Scientists and Data Engineers to create production quality. Machine Learning pipelines and solutions with an emphasis on Performance, Scalability, Reliability, and Maintainability. Build components and libraries that will improve existing solutions and improve the delivery of new ones Required Skills and Experience 3+ years of experience applying AI to practical uses Experience with deep learning, NLP, and TensorFlow Experience writing robust code in Python, Java, and/or R Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Knowledge of basic algorithms and object-oriented and functional design principles Knowledge of data structures, data modeling, and software architecture Knowledge of math, probability, statistics, and algorithms Knowledge of machine learning frameworks Knowledge of machine learning libraries such as scikit-learn Excellent communication skills Strong analytical and problem solving skills Preferred Qualifications Bachelor's degree in a relevant technology field Experience with cloud environments

SFDC Technical Architect4 Key Responsibilities: Architectural Design: Design and implement scalable and secure Salesforce architectures. Develop and maintain technical design documents and solution blueprints. Define and enforce Salesforce development standards, including coding best practices and security protocols. Implementation and Configuration: Lead the deployment of Salesforce solutions, including custom development, integrations, and configurations. Oversee data migration and integration activities to ensure data integrity and consistency. Collaborate with Salesforce developers to implement custom applications and features. Technical Leadership: Provide guidance and mentorship to Salesforce developers and administrators. Conduct code reviews and ensure adherence to best practices and Salesforce guidelines. Stay current with Salesforce updates, new features, and emerging technologies to incorporate into solutions. Stakeholder Collaboration: Work with business analysts, project managers, and other stakeholders to gather and translate business requirements into technical solutions. Facilitate workshops and meetings to discuss technical solutions and provide recommendations. Act as the technical point of contact for Salesforce-related inquiries and issues. Quality Assurance: Ensure the quality of Salesforce solutions through rigorous testing and validation processes. Troubleshoot and resolve complex technical issues and system defects. Implement and oversee monitoring and reporting mechanisms to ensure system performance and reliability. Documentation and Training: Create and maintain comprehensive technical documentation, including architecture diagrams, technical specifications, and user guides. Provide training and support to end-users and technical teams on Salesforce functionalities and best practices.

AI/ML Engineers1 AI/ML (Artificial Intelligence/Machine Learning) engineers with 3+ years of experience and having knowledge of Python, Microsoft OpenAI, and GitHub Copilot, along with AWS (Amazon Web Services) cloud experience. Design, implement, and optimize machine learning algorithms using Python to solve complex business problems. Build Prototypes, demos and Gen AI and AI/ML Solutions. Leverage Microsoft OpenAI and GitHub Copilot for enhanced code suggestions and collaboration. Train, evaluate, and fine-tune machine learning models on large datasets using frameworks like TensorFlow or PyTorch. Utilize OpenAI's models for natural language processing tasks and generate code snippets with Copilot to expedite development. Perform data preprocessing tasks, including cleaning, normalization, and feature engineering, to prepare datasets for machine learning models. Use Python libraries and tools to extract meaningful features from raw data. Deploy and manage machine learning models on AWS cloud infrastructure. Utilize AWS services like SageMaker for model training, deployment, and monitoring. Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders. Document code, models, and processes to ensure transparency and facilitate knowledge transfer. Implement CI/CD pipelines to automate the testing, deployment, and monitoring of machine learning models. Use GitHub Copilot to enhance code quality and efficiency in the development lifecycle. Monitor the performance of deployed models and optimize them for scalability, speed, and accuracy. Implement best practices for model versioning and management. Ensure that machine learning solutions adhere to security standards and compliance requirements. Implement secure coding practices and data protection measures. Stay updated on the latest advancements in AI/ML, Python, OpenAI, and cloud technologies. Experiment with new models, techniques, and tools to drive innovation within the team. Troubleshoot and debug issues related to machine learning models, Python code, and cloud infrastructure. Collaborate with support teams to address production issues promptly. Provide guidance and training to team members on AI/ML best practices, Python coding standards, and effective use of OpenAI and Copilot. Conduct workshops or knowledge-sharing sessions within the organization. Optimize cloud resources to ensure cost-effectiveness in model training and deployment on AWS. Proficiency in python, Gen AI, Microsoft OpenAI, and GitHub Copilot, along with AWS Strong knowledge of Python, TensorFlow and PyTorch Strong knowledge of NLPs like Microsoft OpenAI and Copilot Knowledge of cloud platforms like Amazon Web Services. Solid understanding of SQL and data manipulation techniques for data extraction, transformation, and loading. Ability to understand business requirements and translate them into meaningful solutions. Strong analytical and problem-solving skills. Excellent communication and collaboration skills to work effectively with business users, data analysts, and other stakeholders. Educational Qualifications Bachelor's degree in computer science, software engineering, mathematics, or a related field is often the minimum requirement Knowledge of Data science will be added advantage .

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Preferred Qualifications: Master's Degree in Engineering, Information Systems, Computer Science or related field. 12+ years of Systems Engineering or related work experience. 8+ years of 4G/5G/6G systems and associated cellular standards (e.g., 3GPP NR, LTE, LTE, 3G). 3+ years of experience working in a large matrixed organization. 2+ years of supervisory experience. 2 + years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). 1+ year in a technical leadership role with or without direct reports. Principal Duties and Responsibilities: Leverages advanced Systems knowledge and experience to research, design, develop, simulate, and/or validate critical systems-level software, hardware, architecture, algorithms, and solutions while ensuring system-level requirements and standards are met. Performs highly complex functional analysis to drive requirements and specifications and to define and align with standards for hardware and software. Develops and analyzes highly complex system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system. Collaborates with cross-functional teams (e.g., product management teams, engineering teams, etc.) to complete project work, including implementing and verifying the system. Develops algorithms and works on new and innovative ideas (e.g. IDFs) for a product or feature area. Drives triage of highly complex problems at the system level to determine root cause and presents results of testing and debugging to internal and external stakeholders. Level of Responsibility: Works independently with minimal supervision. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents. Has a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to make key decisions). Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: This role demands good understanding of Android Internals and Linux System level expertise to bring up Android on Embedded devices. (S)He would be leading the team of engineers who are working on building/managing Automation tools set up for Integrating AOSP code base on Qualcomm Internal baseline. Should able to guide & getting the work down with the team members working across Geos. Shall possess Good Android system level knowledge which is mandatory to resolve functional/Stability related issues identified in AOSP code. (S)He will be participating in Design, Implementation and debug of system level features coming on Android. Shall get to understand the forward-looking New Features/Debug Functionality coming in Android & adapt them to Qualcomm Platform. Minimum Qualifications: Good understanding of software development life cycle Expertise in build and integration and release process/management (GNU Make, Android, Git repositories etc.) Familiar with Android Open Source Project and open source tools Good knowledge of scripting languages mainly Shell and Python Good knowledge in Tools/Automation design and development Working knowledge of Android and in Linux environment Experience in android build system, integration and associated tools Good in analyzing, debugging and fixing Android System level issues. Self-motivated, adaptable, and independent, capable of working with limited supervision, pro-actively reporting on status and tasks 8+ years of hands-on experience in above areas. Good to Have: Experience in Linux continuous integration development and Linux based build system enhancement Good Knowledge in programming using scripting languages such as Shell and Python Plan and execute product software integration/testing and build/release Knowledge on AI/ML algos Knowledge on Cloud technologies – PaaS or SaaS Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomm is looking for an experienced Chipset Power System Engineer who is passionate in solving power challenges and develop innovative solutions for optimizing power for next generation Snapdragon automotive chipsets. The engineer is expected to lead a cross-functional engineering team to model SOC/chipset power and come up with innovative solutions to optimize hardware and software to enhance SOC and chipset and achieve world-class chipset low power consumption. In this position, the engineer will be involved in all stages of the design and development cycles guiding the power-efficient design of the end-end solution. Responsibilities include: -- Power architecture and tradeoff analysis -- Chipset and system level power modeling, analysis and optimization for SOC, chipset and platform solutions. -- Identify power requirements and quantify power gap/risk areas. -- Optimize power efficiency and performance of present generation designs and help architect future products. -- Guide multi-function groups through the design cycle in realizing the power targets set forth at the inception of the project. -- Design of power features and work with cross functional teams (systems, software, hardware, silicon process, production test, etc.). -- Customer interaction to advertise the capabilities of the chipset, and to understand and address specific power requirements. -- Power modeling of customer-specific use cases and designs. Minimum Qualifications -- Master’s degree in Electrical Engineering or equivalent field is required as a minimum.. -- Analysis and design of low power features at SOC, chipset or platform level. -- Architectural knowledge in application processor, modem processor, AR/XR, machine learning, automotive or computing. -- System knowledge of automotive SOC or chipset. -- Hardware or software design or optimizations of low power features. -- System level power modeling and analysis. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 8+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 7+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. J Principal Responsibilities: Senior leader with 20+ CAD/Methodology development experience for team in Bengaluru. Drive tools, flows, methodologies globally as part of world-wide CAD organization. Develop and implement advanced CAD flows and methodologies for front end RTL Design to Verification Methodologies and framework development. Utilize scripting languages (python) to automate CAD/IT processes and increase efficiency. Collaborate with cross-functional teams to ensure successful integration of CAD flows. Stay up-to-date with cutting-edge technology (AI/ML), conduct thorough analysis of CAD tools and make improvements. Work closely with users to troubleshoot and resolve any issues that arise in tools, flows, environment, and infrastructure. Preferred Qualifications: Experience building full stack AI applications, with a focus on practical, production-grade solutions Strong proficiency in Rust for performance-critical systems and Python for AI development and scripting . Solid understanding of large language models (LLMs), their mechanics, and their real-world applications. Experience implementing tool use capabilities for LLMs and agent frameworks Knowledge of evaluation methodologies for fine-tuned language models Good grasp of Retrieval-Augmented Generation (RAG) and latest AI Agent frameworks Ability to stay current with the fast-evolving AI landscape]. Including advancements in LLMs and neural networks Strong understanding of CAD/EDA tools and methodologies. Hands on experience with regression systems, CI/CD, Revision Control System (git, perforce) workflow. Strong fundamentals in digital design, design verification methodologies and EDA tools. Knowledge of SOC architecture is a plus Preferred – Masters in VLSI or Computer Science Minimum – Bachelors in Electronics/Electrical Engineering/Computer Science Atleast 15 years’ experience in development of tools/flows/methodologies in either RTL, DV, synthesis, PnR or Signoff. Should have a proven record of driving new innovative tool/flow/methodology solutions. Should have managed a medium sized team. Level of Responsibility: Works independently with minimal supervision. Work with chip leads in support of design verification. Collaborate with chip leads to understand the design methodology. high-level requirements, determine other areas to support current or future designs that can benefit from automation and tooling. Provides supervision/guidance to other team members. Decision-making is significant in nature and affects work beyond immediate work group. Requires verbal and written communication skills to convey complex information. May require negotiation, influence, tact, etc.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Do you ever wonder when will connected devices become thinking devicesBe part of the group that is working on technology that will bring “Cognition” to all connected devicesThat means devices that don’t just think but instinctively react to their surroundings. We are searching for an AI Systems Architect to be part of the Qualcomm AI Processor team responsible for developing DSP and Machine Learning software applications and use cases developed for Qualcomm Snapdragon processors. The candidate will work on modelling and analysis of new cutting-edge algorithms in the areas of machine learning, computer vision and video processing that bring artificial intelligence to mobile and edge devices. Minimum Qualifications: Experienced candidates (8-12 years) are welcome to apply. Industry experience in image processing, computer vision, machine learning and video domain. Strong motivation and ability in learning new subjects especially in the field of artificial intelligence Excellent understanding of image processing and computer vision fundamentals. Strong programming skills in C\C++, Python, OpenGL Strong multithreading, and OS concepts\fundamentals. Collaborate with cross-functional teams to design, implement, and debug machine learning software applications Knowledge of data-driven modelling Knowledge of computer and hardware architecture Effective interpersonal communications skill (written and verbal). Analytical, thorough, resourceful, and detail-oriented Self-motivated, hardworking, and flexible Preferred Qualifications: Advanced understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Proficient in OOP principles Knowledge of GPU Programming / Architecture is a bonus Ability to work effectively as part of a global team Responsibilities: The successful candidate(s) will be responsible for: Leverage advanced computer architecture knowledge for analyzing and optimizing custom processors/accelerators Develop and train data-driven architecture models, correlating these models, and performing system-level architecture analysis. Design, develop and test advanced solutions for AI processors. Work independently with minimal supervision Provide guidance/supervision to team members Education requirements: RequiredMaster’s Computer Engineering and/or Electrical / Electronic Engineering PreferredPhD in Computer Engineering and/or Electrical / Electronic Engineering (focus on Image processing, Computer vision, Machine learning) Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Job Job TitleE-Commerce Manager Company NameTitan Job TypeRegular/ Job CategoryJewellery-SMR DepartmentMia-Marketing LocationBengaluru, Karnataka, India : Titan, a leading jewellery brand in India, is seeking an experienced E-Commerce Manager to join our team in Bengaluru. As the E-Commerce Manager, you will be responsible for managing and growing our online sales channels, specifically for our Mia-Marketing department. Key Responsibilities: - Develop and implement strategies to increase online sales and revenue for the Mia-Marketing department - Manage and optimize the E-Commerce website, ensuring a seamless and user-friendly experience for customers - Monitor and analyze website traffic and sales data to identify areas for improvement and make data-driven decisions - Collaborate with cross-functional teams, including marketing, sales, and IT, to ensure alignment and success of E-Commerce initiatives - Stay up-to-date with industry trends and best practices to continuously improve the E-Commerce strategy - Manage relationships with third-party vendors and partners to ensure timely and accurate delivery of products and services - Oversee the E-Commerce budget and track expenses to ensure cost-effectiveness - Train and mentor team members to ensure a high level of performance and productivity Qualifications: - Bachelor's degree in Marketing, Business, or a related field - Minimum of 5 years of experience in E-Commerce, preferably in the jewellery industry - Proven track record of successfully growing online sales and revenue - Strong analytical skills and experience with web analytics tools - Excellent communication and collaboration skills - Experience managing a team and working cross-functionally - Knowledge of E-Commerce platforms and technologies - Ability to thrive in a fast-paced and dynamic environment If you are a results-driven and innovative E-Commerce professional with a passion for the jewellery industry, we encourage you to apply for this exciting opportunity at Titan. Work Experience 3-4 years of experience in sales/ digital roles, with multi-channel exposure. Strong analytical and commercial acumen with a bias for action. Experience in leading small, agile teams and collaborating across functions. Passionate about digital commerce, consumer experience, and growth.