209 Svm Jobs - Page 9

Key Responsibilities: Leverage traditional machine learning techniques (decision trees, random forests, SVM, logistic regression) to build predictive models. Analyze complex datasets to identify key trends and provide data-driven insights for business decisions. Partner with cross-functional teams to understand business needs and translate them into effective ML solutions. Rigorously evaluate and optimize models for accuracy and real-world performance. Apply statistical and mathematical principles to enhance analytical outcomes. Communicate findings and model insights to both technical and non-technical stakeholders. Desired Skills and Qualifications: Deep understanding of traditional machine learning algorithms (decision trees, clustering, Naive Bayes, SVM, etc.). Strong proficiency in mathematics and statistics (linear algebra, probability, statistical inference). Proven ability to translate business problems into analytical frameworks and actionable insights. Expertise in data processing, cleaning, and feature engineering using Python (pandas, NumPy). Hands-on experience building and deploying ML models using Python and libraries like scikit-learn. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and collaboration skills to effectively convey technical results. Familiarity with ML tools and frameworks (Scikit-learn, XGBoost, LightGBM). Experience with model evaluation, validation, and optimization techniques. Business acumen and the ability to apply ML to solve real-world business challenges. Preferred Qualifications: Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. 3+ years of experience as a Data Scientist with a focus on machine learning. Demonstrated experience in driving business decisions through data analysis and modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for data science workflows.

Excellent opening for Sr. Data Science Engineer, please find below JD for reference. We are seeking an experienced Data Science Engineer with 5-7 years of experience to design and implement advanced AI/ML solutions. The role focuses on developing AI applications and developing cloud-native solutions. You will work on: We are looking for self-driven Data Professional to be a key member of our Data & AI Practice. We help many of our clients make sense of their large investments in data – be it building analytics solutions or machine learning applications or Generative AI based solution. You will work on cutting edge cloud-native technologies to build meaningful insights. Job Location: Pune What you will do (Responsibilities): Perform high-level work both independently and collaboratively as a project member or leader on multiple projects.Collaborate with Product Management team, elicit AI/ML use case specific requirements, explore and evaluate approachesOwn the end-end process, from recognizing the problem to implementing the solutionDevelop Computer Vision, NLP, Machine learning, Deep Learning, Gen AI based applications & demos according to the requirements and needs.Select appropriate datasets and data representation methods.Explore new tools, technologies, frameworks in ML, DL, Gen AI technologies and experiments.Keep abreast of developments in the field.Mentor, guide junior team members What you bring (Skills):5-7 years of end to end project lifecycle experience (Analysis, Design, Development, Testing, Deployment & Monitoring) in building enterprise grade AI applicationsSound knowledge in Linear Algebra, Statistics, ProbabilityStrong Knowledge & Experience in Python and Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK etc.Experience in various ML Algorithms (like KNN, SVM, Regression, Decision Trees, K-Means, Naive Bayes, GBM and Decision Forests etc)Familiarity with deep learning, machine learning and NLP/NLG frameworks (like Keras, TensorFlow or PyTorch etc.), HuggingFace Transformers and libraries (like scikit-learn, spacy, CoreNLP etc.)Proficiency in designing, training, and deploying deep learning models for computer vision tasks.Experience with image processing, filtering, object detection frameworks (e.g., YOLO, Faster R-CNN, Mask R-CNN), image segmentation techniques (semantic, instance, panoptic), and image classification.Experience in Generative AI /LLM’s frameworks, tools & technologiesExperience in Prompt Engineering & Langchain / LlamaIndex, Vector search, RAG frameworks, Function Calling, Agentic Frameworks, Document ProcessingExperience in Cloud-based services such as AWS (Primary), Azure or GCPUnderstanding of how to operationalize these models to run in an automated contextStrong development experience using Python and SQL (including DB Design & Complex query optimizations).Experience with async programming and RESTful APIs (FastAPI)Sound understanding of CI-CD, Containerization & OrchestrationExcellent analytical, problem solving and communication skills Great if you know (Skills):Experience with Scrum and/or other Agile development processesExposure to MlOps, LLMOps – model and experiment versioning, hyper parameter tuning, model deployment and monitoring aspectsSound understanding of data visualization aspectsAbility to lead R&D and POC efforts . Experience in pre-sales is desirable.A track record of delivery within a number of large-scale projects, demonstrating ownership of architecture solutions and managing changeExperience in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Advantage Cognologix:A higher degree of autonomy, startup culture & small teamsOpportunities to become an expert in emerging technologiesRemote working options for the right maturity levelCompetitive salary & family benefitsPerformance based career advancement About Cognologix:Cognologix helps companies disrupt by reimagining their business models and innovate like a Startup. We are at the forefront of digital disruption and take a business-first approach to help meet our client’s strategic goals.We are a Data focused organization helping our clients to deliver their next generation of products in the most efficient, modern, and cloud-native way.

Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Scientists. You should have between 2 to 10 years of Data Science experience. Successful candidates will be part of a specialized customer-facing AI Labs team in our rapidly expanding Automation & Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions. You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge. Infosys Consulting offers exceptional opportunity for personal growth, and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation. Responsibilities:You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholdersTake the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facingYou will be confronted with a large variety of Data Science tools and other new technologies as well with a wide variety of IT, compliance, security related issues.Design and develop world-class technology solutions to solve business problems across multiple client engagements.Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.Work closely with AI and A global team and with our Fortune 500 clients to build world-class solutions and to define AI strategy.You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.Strong verbal, written and presentation skillsAs a Data Scientist, you will need to have strong programming skills and strong understanding of data science and Machine Learning tools.You will be working on high impact initiatives with other Data Scientists across the globe Requirements:Bachelor's or master’s degree/PhD in Statistics, computer science, information technology, or a similar field.Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.Expert level experience in Python or R.Strong experience in machine learning algorithms like o Linear/Logistic regression, o Random Forest, o SVM, o Neural Networks, o Deep Learning – CNN, RNN, LSTMExposure to NLP and Computer vision use cases.In-depth knowledge of neural networks and architecturesFamiliarity with the latest DL architectures.Toolkits/Frameworks/Libraries - Pytorch, TF/Keras, Scikit-Learn, BERTExperience in Machine Learning Lifecycle – Data Processing, Algorithm Benchmarking, ValidationExposure to build an AI model from scratchExposure to Graph based databases is a plus.Experience with relational databases.

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