8109 Machine Learning Jobs - Page 49

Job Area: Engineering Group, Engineering Group > Software 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 Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job LocationHyderabad More details below About the team Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of trained neural networks on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of devices around the world. Responsibilities In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs. You will be developing various SW features in our ML stack. You would be porting AI/ML solutions to various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU). You will have expert knowledge in deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast-paced development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint. Work Experience 7-9 years of relevant work experience in software development. Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding about Processor architecture, system design fundamentals. Experience with embedded systems development or equivalent.Strong development skills in C and C++. Excellent communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Experience in embedded system development. Experience in C, C++, OOPS and Design patterns. Experience in Linux kernel or driver development is a plus. Strong OS concepts.

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 > 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 Engineer 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. Responsibilities include analyzing and optimizing custom processors/accelerators, developing and training data-driven architecture models, correlating these models, and performing system-level architecture analysis. Minimum Qualifications: Experienced candidates (1 - 4 years) are welcome to apply with experience in the following area: Strong academic records (GPA 3.0 or 72% and better) Excellent programming skills in C/C++, Python Strong problem-solving skills Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence 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: Basic understanding of machine learning, computer vision, and digital image processing algorithms and applications Advanced understanding of computer architecture Advanced understanding of data-driven modelling Excellent verbal, written, and presentation skills Ability to work effectively as part of a team Knowledge of OOP principles Knowledge of GPU Programming / Architecture is a bonus Minimum Education Required : Masters/Bachelor’s Computer Engineering, Electrical Engineering or Engineering Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

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 Description Responsibilities: Build, train, and benchmark ML models (e.g. LSTM, XGBoost) for battery State-of-Health (SOH), Remaining Useful Life (RUL), and degradation prediction. Analyze large-scale battery performance data to extract actionable insights. Develop anomaly and event detection algorithms for safety-critical battery threats. Create predictive maintenance models to forecast battery failures and degradation. Validate and benchmark model performance using real-world and simulated datasets. Work with the product team to ensure integration of developed models. Stay updated with the latest research in battery modeling and machine learning techniques. Research and collaborate with the team to incorporate electrochemical knowledge into ML models. Qualifications Preferred Skills & Tools: Python (Pandas, NumPy, Scikit-learn, PyTorch or TensorFlow) Strong grasp of time-series modeling, signal processing,

Job Summary At Bluphlux, we are seeking a Test professional to join our innovative team. As a company that leverages cutting-edge Language Models (LLMs) to transform the recruitment process, we are looking for someone who can contribute to our mission of making hiring faster, smarter, and more effective. The Test role is crucial in ensuring the quality and accuracy of our AI-driven recruitment solutions. Key Responsibilities Develop and execute test plans to ensure the quality of our AI-driven recruitment solutions. Collaborate with the development team to identify and resolve defects. Analyze test results and provide feedback to improve product performance. Ensure that our patented AI algorithm meets the highest standards of accuracy and efficiency. Contribute to the continuous improvement of our testing processes and methodologies. Required Qualifications Bachelors degree in Computer Science, Information Technology, or a related field. Proven experience in software testing and quality assurance. Strong understanding of testing methodologies and tools. Excellent analytical and problem-solving skills. Ability to work collaboratively in a fast-paced, innovative environment. Preferred Skills Experience with AI and machine learning technologies. Familiarity with recruitment processes and systems. Strong communication skills and attention to detail.

Indus Towers Limited is looking for IT - Data Analyst - Team Member to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Flipkart is looking for Data Scientist - Operations Research to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Job Job TitleGraduate Engineer Trainee Company NameTitan Job TypeRP Job CategoryCentral Technology Services DepartmentCentral Technology Services LocationHosur, Tamil Nadu, India : Titan, a leading company in the Central Technology Services industry, is seeking a highly motivated and talented Graduate Engineer Trainee to join our team in Hosur, Tamil Nadu, India. As a Graduate Engineer Trainee, you will have the opportunity to work with cutting-edge technology and gain valuable experience in the field of Central Technology Services. Key Responsibilities: - Participate in training programs to learn about the company's products, services, and processes - Work closely with senior engineers to assist in the design, development, and implementation of new technology solutions - Conduct research and analysis to identify areas for improvement and make recommendations for process enhancements - Collaborate with cross-functional teams to support project initiatives and ensure timely delivery of projects - Assist in troubleshooting and resolving technical issues as needed - Stay updated on industry trends and advancements in technology to contribute innovative ideas to the team Qualifications: - Bachelor's degree in Engineering or a related field - Strong academic record with a minimum GPA of 3.0 - Excellent problem-solving and analytical skills - Proficiency in programming languages such as Java, C++, or Python - Familiarity with database management and SQL - Ability to work independently and in a team environment - Excellent communication and interpersonal skills - Willingness to learn and adapt to new technologies and processes Additional Parameters: - Previous internship or work experience in the Central Technology Services industry is a plus - Knowledge of Agile methodology is preferred - Willingness to relocate for future career opportunities within the company At Titan, we value diversity and equal opportunity in the workplace. We are committed to creating an inclusive environment for all employees and welcome applicants of all backgrounds to apply. Join our team and be a part of our mission to revolutionize the Central Technology Services industry. Work Experience Good knowledge in Linear Algebra, Vectors, Calculus, Statistics, Fourier Analysis Good knowledge in Signal processing Techniques like Wavelets, Shearlets, Curvelets, Bandlets etc., Good knowledge in Applied Mathematics like Gradient Descent, Convex Optimization, Lagrange, Quadratic Programming, Partial Differential Equations, and Summations Good Knowledge in machine learning algorithms, neural networks, natural language processing, and related AI technologies. Proficiency in programming languages such as C++, Python, R, Java, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Knowledge in data preprocessing, feature engineering, and model development and evaluation. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and derive actionable insights. Good Communication & Inter Personnel Skills Major Deliverables / Tasks : 1. Discovering New Possibilities - The role should deliver the below towards new Possibilities : - New AI/ML techniques, Tools / Models / algorithms for Industry 4.0 and Smart wearables - Use-cases based on emerging trends - Data Models with Reports for efficient Algorithms - Prototype Testing and Validation 2. Algorithm/ Code Development - The role should perform the below towards meeting the above objectives: - Conduct analysis to identify patterns, trends, and insights from large and complex datasets. - Collaborate with data engineers and data scientists to ensure data quality, integrity, and accessibility for AI and ML initiatives. - Monitor and evaluate AI and ML performance metrics, providing recommendations for improvements and optimization. - Develop Standard Plug-ins and Models for easy integration 3 . Reports and Documentation The role is expected to meticulously Compile all the support Details and Documents hailing from the core activities mentioned above and deliver the Blueprint of the Development Process

Build internal AI-powered tools that solve bottlenecks across functions like Design, Marketing, Branding, Data Science, Copywriting, and Product. Automate repetitive workflows using AI agents, low-code/no-code platforms, API integrations across internal systems and SaaS platforms. Translate non-technical business needs into functional internal products using AI/automation as core enablers. Create scalable, modular internal tools that drive efficiency, innovation, and ownership across teams. Mentor interns and junior team members to cultivate an internal culture of technical problem solving. Build and deploy AI agents, automation bots, dashboards, and internal tools that solve real problems for business teams. Integrate APIs across CRM, marketing platforms, analytics, and internal systems. Rapidly prototype solutions with low-code tools, progressing to scalable custom builds as needed. Establish technical standards, documentation, and reusable components for internal automation/AI. Mentor interns and junior product members in AI, automation, and technical problem solving. Continuously explore and apply new AI/LLM technologies, APIs, automation methods for internal use cases. 3+ years experience in AI-powered applications, automation, or internal tools development. Strong in Python, API integrations, OpenAI API, Langchain, or similar AI platforms. Hands-on experience with low-code/no-code tools (Zapier, Make, Retool, Airtable). Familiarity with building internal SaaS-like platforms or automating multi-team workflows. Enjoys building usable products from ambiguous requirements. Can collaborate closely with non-technical business stakeholders. Built GPT-based chatbots, AI content tools, or automation bots for internal use. Integrated 3+ SaaS platforms via APIs for workflow automation. Mentored junior engineers or interns in product/technical roles. Worked in an internal innovation lab, accelerator, or skunkworks environment. Core Skills: Strong Python programming (API work, automation scripts, data pipelines). Familiarity with OpenAI API, Langchain, Llama Index, embeddings workflows. Knows Zapier, Make, Retool, or similar tools to quickly prototype internal apps. Understands backend + basic frontend (can wire UI or dashboards if needed). Knows how to connect disparate tools (CRM, Google Sheets, marketing APIs, etc.). Builds scalable architecture after prototyping. Projects You Should Have Done Built an AI-powered internal tool (e.g., GPT-based content editor, reporting bot). Created automation to eliminate manual reporting/spreadsheet updates. Integrated 3+ SaaS platforms to talk to each other via APIs. Launched a workflow tool for internal business users. Led (or solo-built) an AI-based MVP from scratch.

0px> Who are we? In one sentence We are looking for a strong, hands-on Data Scientist to join a cutting-edge AI and GenAI initiatives at Amdocs Services CTO.In this role, you ll be part of a growing data science team working on advanced AI/GenAI technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation services solutions. What will your job look like? Research and develop innovative AI-powered capabilities.Rapidly prototype and iterate based on data insights and user feedback.Design and build data-driven solutions with a strong emphasis on practical impact and performance.Collaborate closely with Product, analysts, and engineers to deliver production-grade machine learning models.Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges. All you need is... At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics or similar discipline. Strong hands-on experience in Python with the focus being on statistical algorithms development and GenAI practices. Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow Experience with GenAI concepts (RAG, LLM) and Agentical development: from conversional to autonomous agents Team player, able to work in collaboration with subject matter experts, with ability to clearly present and communicate findings. Proven ability to build and deliver data solutions in a short time frame. Experience with Azure, docker, and development methodologies - an advantage Proven experiences in productions and DevOPS practices Why you will love this job: You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour. You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

0px> Who are we? In one sentence We are seeking a GenAI Architect & People Manager with strong technical depth and leadership capabilities to lead our GenAI initiatives. The ideal candidate will possess a robust understanding of Generative AI , Machine Learning , and Cloud-based solution delivery , combined with proven experience in managing high-performing technical teams. This role requires a visionary who can translate business challenges into scalable AI solutions while nurturing talent and fostering innovation. What will your job look like? Lead the design and implementation of GenAI and ML-based solutions across business use cases. Translate business requirements into technical architectures using Azure/AWS Cloud Platforms . Manage and mentor a multidisciplinary team of engineers, data scientists, and ML specialists . Drive adoption of Databricks , PySpark , and Java-based frameworks within solution development. Collaborate closely with product owners, data engineering teams, and business stakeholders. Ensure high standards in code quality, system performance, and model governance . Track industry trends and continuously improve the GenAI strategy and roadmap. Oversee end-to-end lifecycle: use case identification, PoC, MVP, production deployment, and support. Define and monitor KPIs to measure team performance and project impact. All you need is... 13+ years of overall IT experience with a strong background in Telecom domain (preferred). Proven hands-on experience with GenAI technologies and Machine Learning pipelines . Strong understanding of LLMs , Prompt Engineering , RAG (Retrieval-Augmented Generation) , and fine-tuning. Demonstrated experience in building and deploying GenAI use cases on Azure or AWS . Strong expertise in Databricks , PySpark , and Java . In-depth understanding of cloud-native architecture , microservices , and data pipelines . Solid people management experience: team building, mentoring, performance reviews. Strong analytical thinking and communication skills. Good to Have Skills: Familiarity with LangChain, HuggingFace Transformers , and Vector Databases (like FAISS, Pinecone). Experience with Data Governance , MLOps , and CI/CD for AI/ML models. Certification in Azure/AWS (e.g., Azure AI Engineer, AWS Certified Machine Learning). Exposure to NLP , speech models , or multimodal AI . Why you will love this job: You will be challenged with leading and mentoring a few development teams & projects You will join a strong team with lots of activities, technologies, business challenges and a progression path You will have the opportunity to work with the industry most advanced technologies

Java Full Stack Developer-Tech Lead Summary: The Tech Lead will provide design and delivery of a portal web application within the agile development lifecycle. The ideal candidate will be an experienced engineer with web application development with micro services and REST APIs in highly performant systems. The candidate has at least 5 years of experience developing a web application. To be successful, the candidate needs to show experience with Java, springboot, Microservices and JavaScript Frameworks, e.g., Angular and REST APIs. The candidate should also have Cloud-based development experience. Responsibilities: Design and architect Java-based applications and solutions to meet business requirements Lead and mentor development teams in best practices and architectural guidelines Collaborate with stakeholders to gather and analyze requirements, and propose technical solutions Develop high-quality, scalable, and maintainable code in Java Identify technical debt and propose strategies for refactoring and optimization Stay current with emerging technologies and industry trends, and incorporate them into architectural designs Participate in design discussions about the technical implementation and consider the tradeoffs to support business value, scalability and delivery timeline. Develop web UI pages using JavaScript based frameworks, e.g., Angular Work with the services team to integrate with service REST APIs, JSON etc. Develop back-end components and services to improve responsiveness and overall performance Write effective, scalable code Integration with Client Facing Application and UpStream AP Develop unit tests with a test-driven mindset Debug and address performance issues Design and code for security considerations, anticipates security risks Peer / code reviews Lead the development of a product feature Qualifications: Strong communication, collaboration and problem-solving skills with a track record of delivering production grade systems in a team environment Motivated individual who learns quickly, has pride in building a new product and can engage others to accelerate technical solutions Familiarity with implementation design patterns and performance challenges Minimum bachelor s degree Experience in working with distributed teams At least 4 years of experience working with agile scrum methodologies At least 4+ years of JavaScript, HTML5, CSS3, Angular etc. Proven 4+ years of experience as a Java Developer including backend and middle tier development based on Microservices Patters Proficient in the following technologies/Languages Java, Spring Framework Spring Boot SQL API Integration (REST, SOAP) JSON and XML Good understanding of enterprise solutions including storage and software layers. Hands on Experience with implementation of Cross Cutting Concern including Caching, Logging and Tracing. Working Knowledge and Understanding of Microservices architecture Understanding of Docker and Kubernetes and Kubeflow Understanding of data base like SQL (Oracle, MS-SQL) and non-SQL (Mongo) is must. Proven internal/external written and verbal communication, interpersonal and analytical skills Ability to multitask and prioritize issues in a complex environment. Understanding of Machine Learning and AI techniques is a plus. Understanding of Cloud Technologies and solutions - GCP Preferred is a plus Strong exposure to Application integration with AI ML, DB such as Mongo DB and Cloud exposure (AWS and GDS) Enterprise Architecture exposure Experience and Expertise in building and leading technical teams Strong Communication Hands on, willing to do R&D and eye for details Experience with agile tools such as Atlassian JIRA, Rally, TFS or Version One Mastery of code repositories such as subversion / git and artifacts repos Experience with Docker Experience with web server, e.g., nginx, Tomcat is a plus

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Responsibilities Build, Train, and Deploy ML Models using Python on Azure/AWS 1+ years of Experience in building Machine Learning and Deep Learning models in Python Experience on working on AzureML/AWS Sagemaker Ability to deploy ML models with REST based APIs Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.) Ability to work directly with customers with good communication skills. Ability to analyze datasets using SQL, Pandas Experience of working on Azure Data Factory, PowerBI Experience on PySpark, Airflow etc. Experience of working on Docker/Kubernetes Mandatory skill sets Data Science, Machine Learning Preferred skill sets Data Science, Machine Learning Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred Required Skills Data Science Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Travel Requirements Government Clearance Required?

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Responsibilities Build, Train, and Deploy ML Models using Python on Azure/AWS 1+ years of Experience in building Machine Learning and Deep Learning models in Python Experience on working on AzureML/AWS Sagemaker Ability to deploy ML models with REST based APIs Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.) Ability to work directly with customers with good communication skills. Ability to analyze datasets using SQL, Pandas Experience of working on Azure Data Factory, PowerBI Experience on PySpark, Airflow etc. Experience of working on Docker/Kubernetes Mandatory skill sets Data Science, Machine Learning Preferred skill sets Data Science, Machine Learning Education qualification B.Tech / M.Tech / MBA / MCA Education Degrees/Field of Study required Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Data Science Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} Travel Requirements Government Clearance Required?

Generative AI Developer Position Description Company Profile: Job Title: Gen AI Developer Position: SSE / LA Experience: 4 Plus Work location: Bangalore/Chennai/Hyderabad/ Pune and Mumbai Position ID: J0625-0803 Employment Type: Full Time Location: Bangalore Job Type: Ful-ltime Experience Level: 4+ years About the Role: We are seeking a highly skilled and experienced Generative AI Solution Architect to lead the design and implementation of innovative AI solutions. This role focuses on utilizing Microsoft Azure Cognitive Services, Azure Open-AI, Databricks, and advanced AI/ML technologies to deliver cutting-edge AI-powered systems. As a key player in our cloud and AI transformation, you will architect and deploy solutions that leverage Natural Language Processing (NLP) and other AI models, ensuring optimal performance, scalability, and security within cloud environments. : Architect and design scalable AI solutions using Microsoft Azure Cognitive Services, Azure Open-AI, Databricks, and related AI tools. Lead the end-to-end development of AI/ML models, focusing on Natural Language Processing (NLP) and other generative AI use cases. Collaborate with cross-functional teams, including Data Science, Engineering, and DevOps, to deploy AI models into production environments using Azure Cloud and DevOps best practices. Develop and integrate advanced analytics solutions, leveraging Python (Anaconda) and various AI/ML frameworks. Oversee the implementation of cloud architectures, ensuring adherence to security, scalability, and reliability standards. Mentor and provide technical leadership to junior AI engineers and data scientists, fostering growth and development within the team. Engage with stakeholders to understand business challenges and identify opportunities for AI-driven improvements. Act as a subject matter expert (SME) for all AI-related topics, providing insights and guidance on cutting-edge AI technologies and industry trends. Deliver presentations and communicate complex technical solutions effectively to both technical and nontechnical audiences. Drive the implementation of DevOps practices for continuous integration and deployment (CI/CD) in AI model development. Required Skills: Extensive experience with Microsoft Azure Cognitive Services, Azure AI, and Azure Open-AI for building AI solutions. Strong expertise in Python (Anaconda), AI/Machine Learning, and NLP technologies. Proficiency in Databricks for largescale data processing and machine learning workflows. Deep understanding of Cloud Architecture and AI deployments in the Microsoft Azure ecosystem. Experience in implementing and optimizing AI models in production environments using DevOps and CI/CD practices. Strong analytical thinking with the ability to solve complex AI problems and propose innovative solutions. Demonstrated knowledge of Artificial Intelligence, Machine Learning, and Data Science principles. Excellent communication and presentation skills, capable of articulating complex AI concepts to diverse audiences. Proven leadership and mentoring skills, with a passion for guiding and developing talent. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 5+ years of experience in AI/ML, with at least 3 years in a solution architecture or similar role. Certification in Microsoft Azure or related AI certifications is a preferred. Skills: Linux Oracle ODI (Data Integration) SQLite .

Diverse Lynx is looking for Python Developer to join our dynamic team and embark on a rewarding career journey 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. Reprogramming existing databases to improve functionality. Developing digital tools to monitor online traffic. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications Test and debug programs Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests Coordinate with internal teams to understand user requirements and provide technical solutions.

Join our Team About this opportunity: Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson s Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. What Will You Do: Define the Data sourcing strategy and works with partners to procure data. Supply to IP creation for Ericsson in AI/ML. Research studies and creative usage of new and/or existing data sources. Work with Data Architects to use existing data models and build new ones as needed. Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists. Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI s needs Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc. To be successful in the role you must have: Total 6 - 9 yrs of experience with proven skills of implementing a variety of Machine Learning techniques. Solid programming skills (R/Python) with proficiency in at least one. Proven track record of leading AI/ML projects end-to-end with complete ownership. Experience in Generative AI, conversation Assistant systems. Proven skills in building AI/ML based solutions using frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Experience in implementing new algorithms and methodologies from leading open source initiatives and research papers. Hands-on experience in designing and building AI models using Deep Neural Networks for applicable scenarios. Able to build and deploy AI models into production with focus on scaling, monitoring and performance. Sound knowledge of building explainable models (XAI) and prescriptive analytics.

Join our Team About this opportunity We are now looking for a Senior Data Scientist to be responsible for developing AI/ML methods, processes, and systems to extract knowledge or insights to drive the future of artificial intelligence!! Provide data science tasks, perform advanced statistical analysis, and create insights into data to provide to the business actionable insights, identify trends, and measure performance which address business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable!! What you will do Apply and/or develop statistical modeling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques. Synthesize problems into data question(s). Convert data into practical insights. Analyze and investigate data quality for identified data and communicate it Product Owner, Business Analyst, and other relevant stakeholders. Collect Data, explore it, and perform analysis to extract information suitable to the business need. Identify gaps in the data, aggregate data as per business need. Design & perform Data Analysis, Data Validation, Data Transformation, Feature Extraction. Decide approach for addressing business needs with Data & analytics. Understand end user needs and work accordingly with identifying new features in the data. Develop Data Science and Engineering Infrastructure &Tools. Derive key metrics suitable for the use-case and present the analysis to key stakeholder. You will bring 4-8 years of relevant Industry experience. A Bachelor s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines. Ability to analyse data and communicate outcome to key stakeholders exploring new data source Excellent coding skills in python, R, SQL etc. Understanding of cloud services. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimization, or related field A genuine curiosity about new and applied technology and software engineering coupled with a high degree of business understanding. Experience in large scale product development is a plus. Experience in Generative AI and Large Language Models Why join Ericsson? What happens once you apply? Primary country and city: India (IN) || Kolkata Req ID: 768998

Join our Team About this opportunity We are now looking for a Senior Data Scientist to be responsible for developing AI/ML methods, processes, and systems to extract knowledge or insights to drive the future of artificial intelligence!! Provide data science tasks, perform advanced statistical analysis, and create insights into data to provide to the business actionable insights, identify trends, and measure performance which address business problems. Collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable!! What you will do Apply and/or develop statistical modeling techniques (such as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques. Synthesize problems into data question(s). Convert data into practical insights. Analyze and investigate data quality for identified data and communicate it Product Owner, Business Analyst, and other relevant stakeholders. Collect Data, explore it, and perform analysis to extract information suitable to the business need. Identify gaps in the data, aggregate data as per business need. Design & perform Data Analysis, Data Validation, Data Transformation, Feature Extraction. Decide approach for addressing business needs with Data & analytics. Understand end user needs and work accordingly with identifying new features in the data. Develop Data Science and Engineering Infrastructure &Tools. Derive key metrics suitable for the use-case and present the analysis to key stakeholder. You will bring 5-10 years of relevant Industry experience. A Bachelor s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines. Ability to analyse data and communicate outcome to key stakeholders exploring new data source Excellent coding skills in python, R, SQL etc. Understanding of cloud services. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimization, or related field A genuine curiosity about new and applied technology and software engineering coupled with a high degree of business understanding. Experience in large scale product development is a plus. Experience in Generative AI and Large Language Models

Join our Team About this opportunity: We are looking for a skilled and motivated AI/ML & GenAI Engineer to join our team and drive innovation through cutting-edge artificial intelligence and machine learning solutions. In this role, you will be responsible for designing, developing, and deploying scalable AI models including large language models (LLMs) to solve real-world business challenges. Youll work across the full machine learning lifecycle, from data preparation to production deployment, leveraging modern MLOps practices and cloud technologies such as AWS and Azure. This role offers a unique opportunity to contribute to impactful projects in a collaborative, fast-paced, and technology-driven environment. What you will do: Develop, Train, Test, and Deploy Machine Learning and GenAI-LLM models. Collect, Clean, and preprocess large-scale datasets for AI/ML training and evaluation. Collaborate with cross-functional teams to understand business needs and translate them into AI solutions. Design and implement scalable AI services and pipelines using Python and Cloud technologies (e.g., Azure, AWS). Continuously improve model performance through tuning, optimization, and retraining. Knowledge of MLOps practices to use IaC to deploy models into production and industrialising the business solution. The skills you bring: Strong expertise in AWS services: Glue, SageMaker, Lambda, CloudWatch, S3, IAM, etc. Solid programming skills in Python and experience with PySpark for large-scale data processing. Experience with DevOps/MLOps tools such as Azure DevOps, GitHub Actions. Education Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. Experience Experience: 2-5 years of hands-on experience Why join Ericsson? What happens once you apply? Primary country and city: India (IN) || Bangalore Req ID: 768928

LogicLadder is seeking a creative and motivated Product Design-Intern 0-1 year of experience to join our dynamic team. The ideal candidate will have a passion for user-centered design and a desire to create engaging and intuitive products. This role involves collaborating with cross-functional teams to translate user needs and business objectives into effective design solutions. Duration : 2 Months of Internship Primary responsibilities include (but not limited to): Conduct user research to gather insights on user needs and preferences. Create wireframes, prototypes, and mockups to visualize design concepts. Collaborate with product managers and developers to ensure design feasibility and alignment with product goals. Participate in user testing to gather feedback and iterate on designs. Maintain design documentation and contribute to the design system. Stay updated on industry trends and best practices in product design. Requirements Key Skills: Proficiency in design tools such as Sketch, Figma, or Adobe Creative Suite. Basic understanding of user experience (UX) principles and methodologies. Strong visual design skills with an eye for aesthetics and detail. Ability to communicate design ideas clearly and effectively. Basic knowledge of HTML/CSS is a plus Qualifications: Bachelor\u2019s degree in Product Design, Graphic Design, Human-Computer Interaction, or a related field. A portfolio showcasing design projects and processes Experience Requirement: 0-1 year of experience in product design or a related field. Familiarity with UX research methods and user testing. Experience in creating wireframes and prototypes. Understanding of design systems and component libraries. Ability to work collaboratively in a team environment. Strong problem-solving skills and a willingness to learn. Good to have : Experience with front-end development (HTML/CSS/JavaScript). Knowledge of accessibility standards and best practices. Familiarity with Agile methodologies and working in a fast-paced environment.

We are seeking a highly skilled and experienced Technical Account Manager in (MDR) Services / Security Operations Centre (SOC) Manager to lead our team in safeguarding our customers information assets. The ideal candidate will possess a strong background in cybersecurity Data Engineering, Detection Engineering, Response Engineering , incident response, and team management, with a proven track record of effectively managing MDR services or SOC operations. Experience with cutting-edge technologies such as SIEM , SOAR , EDR and other advanced security tools is highly desirable. Experience in managing the team , mentoring / guiding members to advance in their career Job Responsibilities Incident Detection and Response: Oversee the monitoring, detection, analysis, and response to security incidents and threats in real-time. Utilize advanced security technologies such as SIEM , SOAR , TIP & MDR solutions to enhance visibility and response capabilities Coordinate with internal stakeholders and external partners to investigate and resolve security incidents promptly and effectively. Develop and maintain incident response plans and playbooks to streamline response processes. Leadership and Management: Lead and manage a team of security analysts and incident responders, providing guidance, mentoring, and support to ensure high performance and morale. Develop and implement strategies, policies, and procedures to enhance the efficiency and effectiveness of MDR services or SOC operations. Foster a culture of collaboration, continuous learning, and innovation within the team. Threat Intelligence and Analysis: Stay abreast of the latest cybersecurity threats, vulnerabilities, and trends, and incorporate threat intelligence into security operations. Leverage threat intelligence platforms and feeds to proactively identify emerging threats and develop mitigation strategies. Conduct in-depth analysis of security events and incidents using advanced analytics and machine learning techniques. Tooling and Technology: Deploy cutting-edge security technologies and tools to support MDR services or SOC operations, including Google Chronicle, EDR solutions, SIEM, SOAR, and threat intelligence platforms. Ensure the proper configuration, tuning, and optimization of security tools to maximize their effectiveness in detecting and mitigating threats. Stay updated on the latest advancements in cybersecurity technology and assess their applicability to the organizations security posture. Compliance and Reporting: Ensure compliance with relevant regulatory requirements, industry standards, and internal policies related to cybersecurity and incident response. Prepare and deliver regular reports and presentations to senior management, providing insights into the organizations security posture, incidents, and remediation efforts. Conduct Monthly Service Reviews, Quarterly business reviews on the performance. Based on the analysis of the metrics , provide insights on customer environment with Sales teams to upsell additional services Requirements: Bachelors degree in Computer Science, Information Security, or a related field; advanced degree or professional certifications (e.g., CISSP, CISM, GIAC) preferred. Proven experience (10 years) in managing MDR services or SOC operations in a complex and dynamic environment and experience in supporting shared services operations supporting multiple enterprise customers Deep understanding of cybersecurity principles, threat landscape, attack vectors, and defence mechanisms. Strong leadership, communication, and interpersonal skills, with the ability to effectively engage and collaborate with stakeholders at all levels. Hands-on experience with advanced security technologies and tools, such as Google Chronicle, EDR solutions, SIEM, IDS/IPS, and threat intelligence platforms. Experience developing and implementing incident response plans, playbooks, and procedures. Ability to work well under pressure, prioritize tasks, and make sound decisions in high-stress situations. Knowledge of relevant regulatory requirements (e.g., GDPR, HIPAA, PCI DSS) and industry standards (e.g., NIST, ISO 27001). Continuous learning mindset, with a commitment to staying updated on the latest cybersecurity trends.

About this opportunity: Ericsson Enterprise Wireless Solutions (BEWS) is responsible for driving Ericsson s Enterprise Networking and Security business. Our expanding product portfolio covers wide area networks, local area networks, and enterprise security. We are the #1 global market leader in Wireless-WAN enterprise connectivity and are rapidly growing in enterprise Private 5G networks and Secure Access Services Edge (SASE) solutions. What Will You Do: Define the Data sourcing strategy and works with partners to procure data. Supply to IP creation for Ericsson in AI/ML. Research studies and creative usage of new and/or existing data sources. Work with Data Architects to use existing data models and build new ones as needed. Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists. Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI s needs Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc. To be successful in the role you must have: Total 6 - 9 yrs of experience with proven skills of implementing a variety of Machine Learning techniques. Solid programming skills (R/Python) with proficiency in at least one. Proven track record of leading AI/ML projects end-to-end with complete ownership. Experience in Generative AI, conversation Assistant systems. Proven skills in building AI/ML based solutions using frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Experience in implementing new algorithms and methodologies from leading open source initiatives and research papers. Hands-on experience in designing and building AI models using Deep Neural Networks for applicable scenarios. Able to build and deploy AI models into production with focus on scaling, monitoring and performance. Sound knowledge of building explainable models (XAI) and prescriptive analytics.

Develop and deploy advanced AI solutions using the latest Generative AI techniques including: - Retrieval-Augmented Generation (RAG) pipelines. - Designing and building Agentic AI systems to automate complex decision-making workflows. - Fine-tuning Foundation and Small Language Models (SLMs) tailored for domain specific content