181 Svm Jobs - Page 7

We're Hiring! Our Client, one of the leading global financial services firms providing a wide range of investment banking, securities, investment management and wealth management services. The ideal candidate will be familiar with the full software design life cycle. Python developer:Years of Experience : 5+ yearsLocation - ChennaiJoining : Only immediate joiner to Serving Notice Technical & Behavioral Competencies:Very good expertise on Python development and Django frameworkTeam player who promotes communication between stakeholders5+ years of experience in Banking IT, with a good understanding of the Corporate and Institutional Banking activity.Expertise in Oracle database and SQL programmingProficiency in writing Python programmingGood knowledge of ETL design and development using Python data frames and Data lake concepts.Working experience on PySparkStrong problem-solving skillsExcellent communication and collaboration skillsAbility to work independently and as part of a teamExperience in implementing DevOps practicesExperience with data modeling and database designImplementation knowledge in EDA, Machine learning (models as linear regression, logistic regression/classification, KNN, SVM etc.), Deep learning (NLP, Computer vision, GAN, Neural networks), Reinforcement learning, Statistical learning, MLOpsKnowledge of data visualizationStay up-to-date with emerging trends and technologies in data engineering and recommend new tools and techniques to improve our data infrastructureGood knowledge on ELK, Scala programming, Kubernetes/Docker. Interested professionals kindly forward your updated CV to below mentioned email id Thanks and Regards,Sarulatha LSenior Executive - Talent AcquisitionTeamware Solutions a divisionof Quantum Leap Consulting Pvt Ltd.ChennaiE: sarulatha.l@twsol.com

Position: AI Technical LeadExperience Required: 5+ YearsCompany: Academian (EdTech Domain)About UsAcademian is a leading EdTech company developing innovative software solutions. We focus on enhancing education through technology, delivering impactful learning experiences, and shaping the future of education with AI-driven solutions.Role OverviewWe are seeking an experienced AI Technical Lead to spearhead the development and deployment of cutting-edge AI solutions. The ideal candidate will possess a strong foundation in AI algorithms, hands-on expertise with machine learning and deep learning frameworks, and a forward-thinking approach to leveraging emerging AI technologies like AGENTIC AI, RAG, Graph Databases, and open-source LLMs. This role also involves guiding the team to deliver scalable, efficient, and impactful AI products aligned with the EdTech domain.Key ResponsibilitiesAI Model Development:Design, train, and deploy AI models for diverse use cases, including:Computer Vision: Image recognition, object detection, segmentation etc.Natural Language Processing (NLP): Text classification, summarization, question-answering systems etc.Generative AI: Fine-tuning and deploying open-source large language models (LLMs) and Private Models.RAG (Retrieval-Augmented Generation): Implement AI systems combining retrieval with generative models.Optimize AI models for performance, scalability, and accuracy using core algorithms (regression, KNN, SVM, etc.).Open-Source LLM Development:Develop and fine-tune open-source LLMs to cater to domain-specific needs.Deploy open-source LLMs effectively in production environments, ensuring scalability and low latency.Explore and implement open-source tools and frameworks like Hugging Face, LangChain, and Transformer libraries.Integration & Architecture:Integrate AI solutions with Vector/Graph db for advanced data relationships and queries.Implement and manage MLOps/LLMOps pipelines for efficient deployment, monitoring, and scaling of AI models.Leadership:Mentor and guide junior engineers, fostering innovation and skill development.Collaborate with cross-functional teams, including product management, data engineering, and software development, to align AI strategies with business goals.Infrastructure:Leverage cloud AI platforms (AWS SageMaker, Google Vertex AI, Azure AI) for scalable solutions.Adopt open-source frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face) for experimentation and development.Best Practices:Establish robust practices for coding, testing, and documenting AI solutions.Stay at the forefront of AI research and emerging trends like AGENTIC AI, RAG, and open-source LLM development.RequirementsExperience5+ years of experience in AI/ML, with at least 2 years in a technical lead role.Proven expertise in designing and deploying AI solutions in production environments.Technical SkillsStrong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).Hands-on experience with tools like Hugging Face, OpenAI API, and Google AI tools.In-depth understanding of core ML algorithms (regression, KNN, clustering, etc.) and deep learning models.Familiarity with open-source LLM development and deployment Experience with RAG architectures, Graph Databases, and LLMOps practices.Expertise in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud AI platforms (AWS, Google Cloud, Azure).Domain KnowledgeFamiliarity with EdTech standards (LTI, xAPI, QTI) and adaptive learning systems is a strong plus.Soft SkillsExceptional leadership and team mentoring abilities.Strong problem-solving skills and excellent communication for technical and non-technical stakeholders.EducationBachelor’s or Master’s degree in Computer Science, AI, Data Science, or related fields. Why Join Us:Opportunity to lead AI initiatives that shape the future of education technology.Work in a collaborative, mission-driven environment with a focus on innovation.Engage with impactful projects and cutting-edge AI technologies.Competitive salary, benefits, and opportunities for professional growth.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised Learning Developed feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud - Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager ͏ ͏ ͏ ͏ Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

- 2+ years of sales experience - Experience analyzing data and best practices to assess performance drivers In this role the Account Manager will manage a set of critical seller accounts which contribute to 20%+ business of the category. He/She/They will be responsible to develop strong relationships with top sellers in the category and drive improvements in customer facing inputs and achieve category objectives. Key job responsibilities · Managing the seller relationship by championing the seller’s needs at Amazon. Build strong communication channels at all levels of the seller’s organization, set proper expectations, provide clear status communications, and manage towards a growth plan. · Managing and driving the growth of the seller’s business: Build and execute on a strategic account plan that delivers on key business opportunities for the seller and Amazon. · Managing key improvement initiatives and projects: Drive new product launches and relationship extensions by partnering with the business development and onboarding teams. · Work with sellers to improve operational aspects of their business in providing a great consumer experience. · Analyzing the business: Conduct deep dive analysis and provide routine executive-level reporting on the seller’s current business and future opportunities. Publish recommendations and action plans based on data. Experience meeting revenue targets and quotas Experience in e-commerce Experience working in a fast-paced and highly cross-functional organization Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

At Talkdesk, we are courageous innovators focused on redefining the customer experience, making the impossible possible for companies globally. We champion an inclusive and diverse culture representative of the communities in which we live and serve. And, we give back to our community by volunteering our time, supporting non-profits, and minimizing our global footprint. Each day, thousands of employees, customers, and partners all over the world trust Talkdesk to deliver a better way to great experiences. We are recognized as a cloud contact center leader by many of the most influential research organizations, including Gartner and Forrester. With $498 million in total funding, a valuation of more than $10 Billion, and a ranking of #16 on the Forbes Cloud 100 list, now is the time to be part of the Talkdesk legacy to help accelerate our success in a new decade of transformational growth. At Talkdesk, we embrace FAST, our fundamental operating principles that define who we are as an organization. These principles drive us to make the impossible possible. FAST: Focus + Accountability + Speed = Talkdesker. Focus: Focus time, energy and attention on what is most impactful for the business and thoughtful about how and when to partner with others. Accountability: Hold self and others accountable to meet commitments and drive results. Accept responsibility for successes and failures. Speed: Execute with agility and urgency. Act promptly, decisively, and without delay. Make good and timely decisions that keep the organization moving forward. Talkdesker: YOU! What are we doing? At Talkdesk we are reimagining how people experience contact centers, helping our customers create long lasting and meaningful relations with their customers. The capacity to make sense of the message that is being conveyed when we communicate has been reserved to humans alone, but we are building the next generation of solutions that will mimic our ability to understand language, ensuring that the customer needs are always well understood and efficiently handled. We are a growing team of curious and talented people that are focused on leveraging the power of Generative AI, Speech Recognition, NLP and predictive ML to deliver added value to our customers. What do we need? We focus on Applied AI research and engineering to bridge the gap between AI capabilities and Talkdesk products. We're looking for AI scientists who geek out on solving business problems and impacting millions of people's daily lives. We need someone that is a natural problem solver, who likes to be challenged, has the drive to explore, and is committed to quality. We expect you to be a team player, reliable, and easy to communicate with. You will have to leverage different AI modeling techniques to deliver state of the art solutions around natural language understanding and generation. More specifically, you will have to: Focus on delivering working and robust products/models to production. Explore, clean, and transform large datasets of unstructured data; Apply, combine, and fine-tune different predictive and LMM models to achieve optimal and accurate results; Build pipelines that provide observability, metrics-driven monitoring of AI solutions and safe AI in the wild; What are we looking for? 8 -12 yrs industry experience post BS or MS in the areas of Science, Engineer or Statistics Hands-on experience with generative language models (including prompt engineering, fine-tuning, and monitoring) and related frameworks (e.g., LangChain, LlamaIndex, NeMo) Data curation and application of PEFT approaches for tuning open source LLMs Knowledge and experience building guardrails for GenAI applications Relevant experience with developing production-grade NLP/Speech tasks. Familiarity with optimizing LLMs and model serving at scale Familiarity with supervised and unsupervised machine learning algorithms (e.g., neural networks, SVM, decision trees, clustering) Comfortable with SDLC and working in planned and predictable development iterations Fluency in Python and familiarity with Java or Scala #LI- Hybrid Work Environment and Physical Requirements: Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.) The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.

What You'll be doing: Locate, extract, manipulate, and organize data from operational source systems in support of analytic tool development (SQL, Python, Linux and Ansible)Create and manage SQL Server entities for use in Data Science modeling and reportingProficient usage of SQL data sources and database management like Hadoop, Oracle, and SQL serversPartner with varying levels of operations and resource management leadership to understand challenges, goals, and pain points, designing analytic solutions to address themBuild processes supporting data transformation, data structures, metadata, dependency and workload managementHelp develop and maintain code standards and repositories Requirements: 5 - 10 years' building and optimizing ‘big data’ data pipelines, architectures and data setsStrong SQL expertiseExperience working with Python and Linux.Experience working with AWS and Databricks. Understanding and experience with Natural Language Processing concepts including sentiment analysis, lexicon design, text summarization, aspect mining, topic modeling, etc.Understanding and experience with leading supervised and unsupervised machine learning methods such as Multiple Regression, Logistic Regression, Neural Networks, Deep Learning, KNN, Naive Bayes, SVM, Decision Trees, Random Forest, Gradient Boosting, and Ensemble methodsExperience with Git (or equivalent)Solution design and troubleshooting skillsAbility to extrapolate data into information to drive process improvementsAbility to quickly learn how to use new software applicationsComfortable working in projects with varying levels of ambiguity, complexity, uncertainty, and change

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Skills Required: Python, R, Statistics, Machine Learning, Deep Learning, Cluster Regression, Generative AI (GenAI) Responsibilities: Assist with the development, testing, and deployment of AI/ML models, including Generative AI (GenAI) solutions. Brainstorm and implement solutions by referencing research papers, scholarly articles, and industry best practices. Perform data mining using state-of-the-art methods to extract insights and enable predictive analytics. Process, cleanse, and verify the integrity of datasets , ensuring their usability for accurate analysis and model training. Conduct error analysis for demand, wind, and solar forecast models to identify and implement enhancements. Carry out manual computations for demand, wind, and solar forecasts, complementing automated systems when necessary. Perform in-depth analysis to uncover insights and solve complex problems within the renewable energy domain. Understand and optimise forecasting models using R and Python programming. Design and implement new scripts in R and Python to automate tasks and improve operational efficiency. Develop Generative AI applications , including scenario generation, predictive modelling, and domain-specific innovations. Collaborate with cross-functional teams to integrate GenAI solutions into forecasting workflows. Update project status for self-assigned tasks daily, ensuring clear communication and project alignment.

Key Responsibilities Data Strategy & Automation: Lead data collection, processing, and quality assurance processes to ensure accuracy, completeness, and relevance. Explore opportunities to incorporate generative AI models to automate and optimize processes, enhancing efficiencies in analytics, reporting, and decision-making. Data Analysis & Insight Generation: Conduct in-depth analyses of user behaviour, campaign performance, and platform metrics to uncover insights that support crowdfunding success. Translate complex data into clear, actionable insights that drive strategic decisions, providing stakeholders with the necessary information to enhance business outcomes. Reporting & Quality Assurance: Design and maintain a robust reporting framework to deliver timely insights, enhancing data reliability and ensuring stakeholders are well-informed. Monitor and improve data accuracy, consistency, and integrity across all data processes, identifying and addressing areas for enhancement. Collaboration & Strategic Planning: Work closely with Business, Product, and IT teams to align data initiatives with Kettos objectives and growth strategy. Propose data-driven strategies that leverage AI and automation to tackle business challenges and scale impact across the platform. Mentor junior data scientists and analysts, fostering a culture of data-driven decision-making. Required Skills and Qualifications Technical Expertise: Strong background in SQL, Statistics and Maths Analytical & Strategic Mindset: Proven ability to derive meaningful, actionable insights from large data sets and translate findings into business strategies. Experience with statistical analysis, advanced analytics Communication & Collaboration: Exceptional written and verbal communication skills, capable of explaining complex data insights to non-technical stakeholders. Strong interpersonal skills to work effectively with cross-functional teams, aligning data initiatives with organisational goals. Preferred Experience: Proven experience in advanced analytics roles Experience leading data lifecycle management, model deployment, and quality assurance initiatives. Why Join Ketto? At Ketto, we’re committed to driving social change through innovative data and AI solutions. As our Sr. Product Analyst, you’ll have the unique opportunity to leverage advanced data science and generative AI to shape the future of crowdfunding in Asia. If you’re passionate about using data and AI for social good, we’d love to hear from you!

SUMMARY Job Description Location: Mumbai Experience: 3+ years Must-Have: The candidate should possess at least 3 years of relevant experience in Solaris Administration Responsibilities: Demonstrating expertise in auditing other relevant SIEM configurations, closing vulnerability gaps, and troubleshooting day-to-day issues based on tickets Proactively managing patch management, OS upgrades, and server migrations Independently handling partition creation, OS installation, IP configuration, and user management Communicating with vendors and suppliers, and following up on Oracle SRs raised by the team for RCA Requirements Requirements: At least 3 years of experience in Solaris Administration

Dear Candidate, We are looking for a talented Data Scientist to analyze complex datasets, build predictive models, and extract valuable insights that drive business decisions. You will work with machine learning, statistical analysis, and big data technologies to develop scalable solutions. If you have a passion for data-driven decision-making and solving real-world problems, wed love to hear from you! Key Responsibilities: Collect, clean, and preprocess large datasets from multiple sources. Develop and deploy machine learning models for predictive analytics. Perform statistical analysis and hypothesis testing to drive business insights. Work with big data tools (Hadoop, Spark, or Databricks) to process large-scale datasets. Implement and optimize deep learning and AI algorithms where applicable. Collaborate with engineering teams to deploy models into production. Design and maintain data pipelines and ETL processes . Use data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) to present findings. Ensure the scalability, accuracy, and performance of data models. Stay up to date with AI, ML, and data science trends to improve methodologies. Required Skills & Qualifications: Proficiency in Python or R for data analysis and machine learning. Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Strong knowledge of SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies (Spark, Hadoop, Databricks). Knowledge of cloud platforms (AWS, GCP, Azure) for data science workflows. Proficiency in data wrangling, feature engineering, and model optimization . Experience with A/B testing, hypothesis testing, and statistical modeling . Familiarity with MLOps, CI/CD for machine learning models . Strong problem-solving and analytical thinking skills. Excellent communication skills to translate data insights into business actions. Soft Skills: Strong problem-solving and analytical skills. Excellent communication skills to work with cross-functional teams. Ability to work independently and as part of a team. Detail-oriented with a focus on delivering high-quality solutions Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of the HR from my team will contact you as soon as possible. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

UNIX /Linux/Solaris Specialist Proven Experience in Linux/Solaris OS Usage (running commands, managing file and Id's) In depth Operating Systems Administration Knowledge Must have strong Solaris administration 5.11/10/9 Must have strong Red Hat LINUX Administration(6.7/6/5J Expert level in SVM/VxVM/ZFS and LVM Expert level in VCS/RedHat cluster Expert level in LDOM and Zones and strong debugging skills Expert level in SAN and NAS storage Shell or other scripting Strong OS concepts, OS kernel patching and network (NGNI) knowledge RCA of recurring issues and patch fixes especially for Server Migration Knowledge on OS Clone and image copy Knowledge on hardware/product which includes copper/fibre links (1G and 10G) Project planning and management skills

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Red Hat OS Administration Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : Graduate Summary :As an Application Tech Support Practitioner, you will be responsible for providing technical support to clients and ensuring the smooth functioning of the system or application. Your typical day will involve troubleshooting client issues, designing and implementing solutions, and communicating effectively with clients. Roles & Responsibilities: Provide technical support to clients, troubleshooting issues related to Red Hat OS Administration. Interpret and design solutions based on deep product knowledge, accurately defining client issues. Collaborate with cross-functional teams to resolve complex technical issues. Communicate effectively with clients, providing timely updates and ensuring client satisfaction. Professional & Technical Skills: Must To Have Skills:2+ years of experience in Red Hat OS Administration. Good To Have Skills:Experience in Linux Administration, Shell Scripting, and Virtualization technologies. Strong understanding of system administration and troubleshooting techniques. Experience in designing and implementing solutions for complex technical issues. Excellent communication and interpersonal skills. Additional Information: The candidate should have a minimum of 2 years of experience in Red Hat OS Administration. The ideal candidate will possess a strong educational background in Computer Science or a related field. This position is based at our Bengaluru office. Qualifications Graduate

Description Primary and Secondary Skill - Oracle Solaris JD - Experienced Solaris system administrator with very strong Solaris and SUSE skills and experience. A good understanding of Zone Administration, clustering, LDOM's, UFS ZFS Administration. Provide technical and infrastructure support services for Solaris OS based servers and systems, including but not limited to Systems Administration of UNIX (Solaris), Develops, monitors, and maintains utilities and procedures to perform periodic maintenance, backups, shutdowns, recoveries, and diagnostics. Individual must work closely with different Line of Business (LOB) to bring resolution to all issues and perform proactive duties such as patch management and software upgrades.Reviews monitoring logs for problem identification and reports issues according to documented processes and suggests resolutions. Establishes, tests, and maintains disaster recovery plans Minimum of 3-5 years of experience in information technology with an emphasis on Solaris/Linux Servers. Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade B Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family To be defined Local Role Name To be defined Local Skills Oracle Solaris Languages RequiredENGLISH Role Rarity To Be Defined

8+ years of experience in Life Science / Pharmacy Hands on experience in statistical programming languages like R, Python, Good to have experience in Thingworx analytics and database query languages like SQL, Hive and Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators etc. Good knowledge of machine learning methods like k-Nearest neighbors, nave bayes, SVM and decision forests. R OR Python + ML + Regression + classification + clustering + SVM (support vector machine) + decision trees / random forest.

SUMMARY Job Description Location: Mumbai Experience: 3+ years Must-Have: The candidate should possess at least 3 years of relevant experience in Solaris Administration Responsibilities: Demonstrating expertise in auditing other relevant SIEM configurations, closing vulnerability gaps, and troubleshooting day-to-day issues based on tickets Proactively managing patch management, OS upgrades, and server migrations Independently handling partition creation, OS installation, IP configuration, and user management Communicating with vendors and suppliers, and following up on Oracle SRs raised by the team for RCA Requirements Requirements: At least 3 years of experience in Solaris Administration

Job Role: Lead Data Scientist. Location: Bengaluru, Karnataka. Mode : Work from Office Notice Period: Immediate to 20 days. Job Description The incumbent will be part of the Predictive Analytics, Digital Analytics, Data Sciences, Advanced Visualization, Insights & Experimentation team and will report to the Manager/Senior Manager. He/she will be an individual contributor working on multiple data sciences, advanced visualization and data management initiatives across multiple companies and industries leveraging traditional and big data. The incumbent will have the unique opportunity to witness the application of analytics across multiple industry verticals. Close partnership with business and the senior leadership of multiple Tata Companies will enable a clear understanding of the business perspectives and the application of analytics for solving real business problems. Key Responsibilities: • Apply AI| ML , Deep Learning, Computer Vision, Data Mining/ Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions • Assess accuracy of new data sources and data gathering techniques • Perform Exploratory Data Analysis, detailed analysis of business problems and technical environments in designing the solution • Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms • Apply advanced Machine Learning Algorithms and Statistics: o Regression, Simulation, Scenario Analysis o Time Series Modelling o Classification - Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes o Clustering, K-Means, Apriopri o Ensemble Models - Random Forest, Boosting, Bagging o Neural Networks • Lead and manage Proof of Concepts and demonstrate the outcomes quickly • Document use cases, solutions and recommendations • Work analytically in a problem-solving environment • Work in a fast-paced agile development environment • Coordinate with different functional teams to implement models and monitor outcomes • Work with stakeholders throughout the organization to identify opportunities for leveraging organisation data and apply Predictive Modelling techniques to gain insights across business functions - Operations, Products, Sales, Marketing, HR and Finance teams • Help program and project managers in the design, planning and governance of implementing Data Science solutions Experience and Skills: • 8+ years of professional working experience in Analytics • Experience in Leading Team and Guiding through Project End to End Delivery. - Experience in Retail, Financial Services and Manufacturing • Experience using statistical packages of R, Python and Spark ML to work with data and draw insights from large data sets • Experience with distributed data/ computing tools: Hadoop, Hive, Spark, Python • Experience with SQL • Experience visualizing/ presenting data for stakeholders using matplot, ggplot or Excel or Tableau • Excellent written and verbal communication skills for coordinating across teams Education qualification: • Bachelors/ Masters in a quantitative discipline (Statistics, Econometrics, Mathematics, Engineering and Science)

About The Role : AI/ML technologist will focus on leveraging advanced capabilities in Deep Learning, Generative AI, and Agentic AI to revolutionize traditional manual validation and debug processes, transforming them into fully automated, intelligent systems which aim to reduce human intervention, enhance accuracy, and scale validation workflows to meet increasing demands.AI/ML Technologist will work with internal validation teams and Intel Labs deliver AI based modernization of system integration and validation solutions for client products execution. Researches technical trends and utilizes deep domain and expertise to prototype solutions and develop AI software including open-source libraries and models. Optimizes performance of AI models through deep knowledge and expertise of AI frameworks, algorithms, models, and related hardware. AI/ML Technologist will lead development of self-reasoning systems for improved test case generation, enhancing fault resolution quality, creating AI-assisted debugging solutions for both internal and customer issues, and building automated recommendation systems. Analyzing and elevating the overall customer experience will be crucial for long-term success. By integrating AI, the organization will deliver higher quality products and solutions. Qualifications Minimum Qualifications Bachelor degree with 12+ years or Master degree with 10+ years in any of the following field:Computer Science or Data Science and Engineering, Electronics or Electrical Engineering, Applied mathematics, or related technical disciplines. Skills: Strong programming skills in Python, with the capability to debug complex asynchronous systems. Machine Learning Expertise: In-depth knowledge of machine learning techniques, including regression, classification, LDA, Naive Bayes, Logistic Regression, and SVM. Deep Learning and Generative AI: Solid understanding of ML/DL techniques, algorithms, and tools. Experience with CNN, RNN (LSTM), and Transformers ( BERT, BART, GPT/T5, Megatron, LLMs). Practical experience with Retrieval-Augmented Generation (RAG) and LLM-based applications. Familiarity with LLM function calling, Information Retrieval, Vector Databases, Embedding, and Re rank models. Hands-on experience with large language model (LLM) agentic pipelines. Knowledge of various prompt techniques, including zero-shot, few-shot, Chain-of-Thought, Tree-of-Thought, and React. Database and Tools: Experience with database and tools such as SQL, MongoDB, Graph DB, and Elastic Search in native AI applications. ML Ops: Proven experience in deploying and maintaining high-scale AI-based systems. Understanding of scalable deployment of multiple microservices involving LLM-driven RAG and Agent applications in a production environment. Familiarity with Docker, Helm, Kubernetes, etc. Experience with the end-to-end software lifecycle, release packaging, and CI/CD pipeline. Preferred Skills: Good understanding of Computer Architecture and x86 architecture. Experienced in Platform Software Development and Validation. Behavioral traits: Excellent written and oral communication skills.Be able to clearly communicate technical details and concept. Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Seeking an experienced and result-oriented individual to join the People Analytics team in the role of "Data Scientist-Senior Consultant." Strong analytical, statistical, and programming skills are essential. Ability to understand and break down complex business problems, define a solution, and implement using advanced analytical methods. Collaborate with Data Scientists and contribute individually to deliver analytical solutions. Excellent written and verbal communication skills for coordinating across teams and explaining solutions. Good to have knowledge of people/HR data & systems but not necessary. Your Profile Applied statistics skills such as distributions, statistical testing, regression, and proficient application of generative AI techniques for advanced data analysis. Deep knowledge and experience in creating and using advanced machine learning algorithms (Artificial Neural Networks, Naive Bayes, SVM, Decision Forests, etc.). Good working knowledge of machine learning packages like Pandas, NumPy, Scikit-learn, Keras, TensorFlow. Experience in model training and deployment on any of the Cloud environments like AWS, GCP, or Azure. Strong data manipulation skills using SQL, PLSQL, and hands-on working knowledge of Pyspark, Python, R, and Big Data (ability to pick up any new language as required). Good to have experience in Text analytics like NLP. General data engineering skills, including expertise in data manipulation, transformation, and integration. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

To be part of a team that develops custom design solutions for all New Product Development Power Electronics projects in terms of Electrical & Firmware requirements for Power supplies, UPS and Inverters. Main responsibilities include developing specifications, complete WCA analysis, datasheet comparison, testing of products to a set specifications, Bill of material ownership and reliability testing. Role and Responsibilities: Develop custom design solutions for all NPD Power Electronics projects Develop Electrical & Firmware requirements Develop Subsystem specifications and component selection Do Worst case analysis sheet comparison and selecting alternate components Preferred candidate profile BTech ,MTech with power electronics focus. 5-10 years of Industrial Experience in Industrial Inverters, Solar Inverters, UPS systems Knowledge of Power Supply, UPS Systems, Drives, SMRs knowledge of Digital circuit, Analog circuit, ADC, DACs, OPamps, microprocessors, micro controllers & DSPs etc Experience and strong design knowledge of PFC converters, Inverters, Devices, Gate Drive design Experience in Magnetics design - Low and High Frequency Transformers, Inductors, CTs, PTs etc Knowledge of Control Loop design, Gain and Phase Margins, Stability analysis etc Knowledge of Regulatory requirements for Power Supplies and/or UPS products Knowledge and demonstrated experience using Software analysis tools (for example P-spice, Saber, Matlab, Mathcad) Apply in Bloomenergy Career page : https://bloomenergy.wd1.myworkdayjobs.com/BloomEnergyCareers/job/Bangalore-Karnataka/staff-electrical-engineer-PCS_JR-19508 To contact Recruiter , Narayanan : https://linkedin.com/in/narayanan-sivasankaran

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer specializing in Natural Language Processing (NLP), you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and NLP to create innovative solutions for our clients. Roles & Responsibilities: Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots. Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. Implement and optimize NLP algorithms and models to improve performance and accuracy. Stay up-to-date with the latest advancements in NLP and AI technologies, and integrate innovative approaches for sustained competitive advantage. Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Professional & Technical Skills: Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning Solid understanding of machine learning algorithms and statistical analysis. Also, good understanding of machine learning algorithms such as CRFs , SVM Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business, Technology benefits Experience in implementing various NLP algorithms and models. Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization Have worked with RNN, LSTM etc. Work exp in creating NLP pipelines for processing large amount of document corpus Expertise with Python Additional Information: The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.-Be a self-starter and a fast learner Possess strong problem-solving skills with the ability to methodically analyze and resolve tech challenges Possess strong written, verbal, communication, analytical, technical, inter-personal and presentation skills Qualification BE

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Application Packaging Good to have skills : Red Hat OS Administration, Python (Programming Language), DevOps Architecture Minimum 5 year(s) of experience is required Educational Qualification : Relevant Bachelor's Degree and Python Language certification Summary :As an Infra Tech Support Practitioner for Software/Application/Cloud Tech Support, you will be responsible for providing ongoing technical support and maintenance of production and development systems and software products. Your typical day will involve troubleshooting and resolving hardware/software issues, implementing technology at the operating system-level, and providing L1 and L2/ basic and intermediate level troubleshooting. Roles & Responsibilities: Provide technical support and maintenance of production and development systems and software products, both remote and onsite. Troubleshoot and resolve hardware/software issues across all server and network areas. Implement technology at the operating system-level for particular software solutions/vendors/brands. Provide L1 and L2/ basic and intermediate level troubleshooting. Collaborate with cross-functional teams to ensure timely resolution of issues. Professional & Technical Skills: Primary Skill:Application Packaging Good To Have Skills:DevOps Architecture, Red Hat OS Administration, Python (Programming Language) Experience in troubleshooting and resolving hardware/software issues. Experience in implementing technology at the operating system-level. Experience in providing L1 and L2/ basic and intermediate level troubleshooting. Strong understanding of software solutions/vendors/brands. Excellent communication and collaboration skills. Additional Information: The candidate should have a minimum of 5 years of experience in Application Packaging. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. This position is based at our Gurugram office. Qualifications Relevant Bachelor's Degree and Python Language certification

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Red Hat OS Administration Good to have skills : Linux Operations, No Technology Speciality Minimum 2 year(s) of experience is required Educational Qualification : BE Summary :As a Red Hat OS Administrator, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve working with Red Hat OS Administration, Linux Operations, and providing software/application/cloud tech support. Roles & Responsibilities: Design, build, and configure applications to meet business process and application requirements. Provide software/application/cloud tech support. Collaborate with cross-functional teams to ensure the smooth functioning of applications. Perform Red Hat OS Administration and Linux Operations tasks to ensure the stability and security of the applications. Professional & Technical Skills: Must To Have Skills:Red Hat OS Administration. Good To Have Skills:Linux Operations. Experience in providing software/application/cloud tech support. Strong understanding of application requirements and business processes. Experience in collaborating with cross-functional teams. Solid grasp of Red Hat OS Administration and Linux Operations tasks. Additional Information: The candidate should have a minimum of 2 years of experience in Red Hat OS Administration. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. This position is based at our Bengaluru office. Qualification BE

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : Big data Cloudera and SPARC, Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :As an AI/ML Engineer specializing in Natural Language Processing (NLP), you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and NLP to create innovative solutions for our clients. Roles & Responsibilities: Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots. Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. Implement and optimize NLP algorithms and models to improve performance and accuracy. Stay up-to-date with the latest advancements in NLP and AI technologies and integrate innovative approaches for sustained competitive advantage. Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques Worked with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK etc. Information retrieval libraries like Lucene, SOLR fast paced, test driven, collaborative and iterative programming environment Professional & Technical Skills: Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning Solid understanding of machine learning algorithms and statistical analysis. Also, good understanding of machine learning algorithms such as CRFs , SVM Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business, Technology benefits Experience in implementing various NLP algorithms and models. Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization Have worked with RNN, LSTM etc. Work exp in creating NLP pipelines for processing large amount of document corpus Expertise with Python Additional Information: The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.-Be a self-starter and a fast learner Possess strong problem-solving skills with the ability to methodically analyze and resolve tech challenges Possess strong written, verbal, communication, analytical, technical, inter-personal and presentation skills Qualifications BE

General Summary: Experience in engaging with business and technical stakeholders, understanding complex problem statements, and proposing value-driven Data Science & ML solutions Functional & technical leadership in developing data science roadmap and guiding the team with end-to-end delivery (design, development, maintenance, and optimization) of advanced analytical solutions with focus on process standardization and best practices Proactive in reaching out to wide variety of stakeholders for increasing the awareness of Data Science, ML and GenAI capabilities and identifying business value driven opportunities Analyze the market and industry trends in the technology and proactively look for opportunities in bringing the best solutions 'Strong analytical skills with the ability to gather information from several sources and identify fundamental patterns/trends in data Conduct research, design statistical studies and develop solutions Develop Story Telling dashboards on analytics to assist business in decision making Implement deep learning models for structured and unstructured data sets Perform Time Series Analysis and Forecast (ARIMA, Exponential Smoothing, VAR etc.) Implementation experience with identifying, prototyping, developing and delivering GenAI solutions using Industry standard RAG models and frameworks Ability to develop capabilities in Text Analytics ranging from Basic to Advanced (Topic Modelling, NLP) Experience with AWS suite of Data Science and ML tools Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, Catboost etc.) 'Experience with other cloud platforms (GCP and Azure) Understanding of Data Platforms and Data Engineering Exposure to ChatBot solutions and Automation technologies Minimum Qualifications: 7+ years of IT-related work experience with a Bachelor's degree.OR 9+ years of IT-related work experience without a Bachelors degree. 4+ years in a leadership role in projects/programs.