1068 Scikitlearn Jobs - Page 6

As a leading global investment management firm, you will be part of a team that fosters diverse perspectives and embraces innovation to help clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, you will serve institutions, individuals, and private wealth clients in major markets worldwide. The ambition is simple: to be the most valued asset-management partner for clients. **Key Responsibilities:** - Conduct asset allocation and manager evaluation research and create bespoke client portfolios - Undertake bespoke requests for data analysis - Build dashboards for data visualization using Python Dash - Handle data collation, clea...

As a Machine Learning Engineer at Worldline, you will have the opportunity to leverage your expertise in AI, Big Data, and Cloud to contribute to the development of innovative digital products that cater to a global audience. With a focus on diversity and inclusion, Worldline values your unique perspectives and skills in shaping the future of the company. Key Responsibilities: - Develop machine learning models using classical algorithms and Gen AI technologies. - Design and implement new machine learning models tailored to specific business cases. - Deploy scalable machine learning models utilizing big data technologies. - Optimize and maintain ML infrastructure for efficient model training ...

You are being sought after as a Machine Learning Engineer with a solid background in data science and machine learning at a company in Chennai. Your expertise in statistical and machine learning models, as well as practical experience in deploying these models using Flask, developing NLP solutions, and working with Generative AI will be key in contributing to the team. **Key Responsibilities:** - Design, develop, and implement machine learning models and algorithms using Python. - Deploy machine learning models as APIs using Flask. - Conduct statistical analyses to derive insights from large datasets. - Implement and optimize deep learning architectures, including transformers, for various a...

Role Overview: As a Machine Learning Engineer, your main objective will be to design, implement, and deploy machine learning models. You will collaborate with data scientists to transform prototypes into production systems and manage and automate the end-to-end machine learning lifecycle. Your responsibilities will also include implementing continuous integration and continuous deployment (CI/CD) pipelines specifically tailored for ML workflows, monitoring the performance of deployed models in real-time, handling model drift, and implementing retraining strategies. It will be crucial for you to ensure reproducibility, traceability, and versioning for ML models and datasets, as well as optimi...

As a Sr Consultant in Data Science and Analytics at TransUnion, you will be responsible for designing, developing, and deploying machine learning and deep learning models for real-world applications. Your role will involve analyzing large-scale datasets using Spark and SQL to uncover trends and patterns, collaborating with data engineers, analysts, and business stakeholders to define data-driven strategies, and building robust data pipelines and model training workflows. Additionally, you will be expected to communicate complex findings clearly through visualizations, presentations, and reports, while continuously exploring and implementing the latest advancements in AI and data science. Key...

As a Senior Machine Learning Engineer at Cisco Security AI, you will play a crucial role in developing and implementing cutting-edge AI solutions to enhance cybersecurity. Here's a breakdown of what is expected from you: Role Overview: You will be responsible for leading the development and implementation of machine learning models that address real-world cybersecurity challenges. Your expertise in large language models (LLMs), particularly Transformer-based models like GPT, will be key in designing models that effectively handle ambiguities, nuances, and context in natural language processing. Key Responsibilities: - Deep Knowledge of LLM Architecture: Demonstrate a comprehensive understand...

As an AI/ML Developer Intern at the company located in Marol, Andheri, Mumbai, you will be responsible for assisting in designing and implementing AI/ML models for real-world applications, particularly focusing on healthcare and related domains. Your key responsibilities will include working with popular Python libraries such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch to develop and test machine learning solutions. Additionally, you will analyze datasets to identify patterns, trends, and actionable insights that support data-driven decision-making. Qualifications required for this role include a completed degree in Computer Science, Data Science, or a related field. You should h...

As a Senior Data and Applied Scientist at Pattern, you will collaborate with the Data Science team to analyze and utilize data, implement machine learning models, and apply statistical techniques to address business challenges throughout the organization, with a primary focus on logistics and operations. **Key Responsibilities:** - Design, develop, and manage predictive machine learning models and simulations to enhance solutions across Pattern. - Share insights on potential model enhancements, data requirements, and prospects with relevant business units and developer teams. - Continuously enhance the performance of machine learning models. - Conduct research to incorporate new data sources...

You have expertise in handling large scale structured and unstructured data efficiently. You are familiar with the use of Docker tools, pipenv/conda/poetry env, and comfortable in following Python project management best practices such as use of setup.py, logging, pytests, relative module imports, sphinx docs, etc. Additionally, you have familiarity in using Github for cloning, fetching, pulling/pushing, raising issues and PRs. Your high familiarity in the use of DL theory/practices in NLP applications is commendable. You are comfortable coding in Huggingface, LangChain, Chainlit, Tensorflow, Pytorch, Scikit-learn, Numpy, and Pandas. Moreover, you are adept at using two or more open source N...

Role Overview: As a Senior Software Engineer for AI Agents at Apple, you will define the technical vision and own the architectural evolution of the platform infrastructure that enables AI agents to thrive at Apple scale. Your role will involve driving strategic platform decisions, mentoring engineering teams, and influencing technical direction. You will be responsible for building and optimizing the platform supporting the agentic ecosystem, including data pipelines, compute orchestration, monitoring, and reliability systems. Key Responsibilities: - Define modular agent architectures integrating powerful foundation models, including Large Language Models (LLMs) and beyond. - Architect plat...

As an AI Engineer - Vice President at Barclays within the Corporate Digital Banking Technology team, you will be at the forefront of advancing machine learning, leveraging blockchains, and harnessing FinTech to reimagine possibilities and deliver innovative solutions for millions of customers. Your role will involve spearheading the evolution of the Corporate Data Services function and collaborating with industry experts to address real-world challenges in corporate banking. **Key Responsibilities:** - Provide technical leadership to resolve complex issues. - Utilize key technologies such as AWS Bedrock, Databricks Genie, and Snowflake Cortex AI to build and deploy AI solutions. - Develop AI...

As a Data Scientist in our team, you will be responsible for the following key tasks: - Collect, clean, and preprocess structured and unstructured datasets. - Design and implement machine learning and statistical models including classification, regression, clustering, recommendation, forecasting, etc. - Perform exploratory data analysis (EDA) and effectively communicate findings to stakeholders. - Collaborate closely with data engineers and product teams to develop reliable data pipelines and deploy models. - Create intuitive dashboards, reports, and visualizations tailored for both business and technical stakeholders. - Stay updated with the latest data science tools, frameworks, and indus...

As a Senior AI Cloud Operations Engineer, you will play a crucial role in designing and managing scalable cloud infrastructure tailored for AI workloads. You will work with platforms like AWS, Azure, or Google Cloud to ensure high availability and swift performance by implementing comprehensive monitoring solutions. Your collaboration with data scientists to operationalize AI models will be essential for seamless integration with existing systems and workflows. Automating deployment pipelines using tools like Kubernetes and Terraform will streamline operations and reduce manual interventions. Ensuring security best practices and compliance standards, including data privacy regulations like G...

Role Overview: Newton School, in partnership with Rishihood University and Ajeenkya DY Patil University, is on a mission to bridge the employability gap and revolutionize education in the world of technology. As part of our team of experienced professionals and renowned investors, your role will be crucial in shaping the future of technology by teaching Applied AI/ML, developing industry-relevant curriculum, mentoring student projects, guiding and mentoring students, staying updated on the latest AI/ML trends, collaborating with industry experts, and assessing practical skills. Key Responsibilities: - Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML. - Develo...

As a Senior Machine Learning Engineer at our company, you will be an integral part of the AI team, leveraging your 4+ years of experience in building and deploying production-grade ML models. Your role involves designing, developing, and deploying machine learning and deep learning models, conducting advanced data preprocessing, and implementing optimization techniques for algorithm performance and scalability. You will work with Python frameworks such as Scikit-learn, TensorFlow, PyTorch, and Keras, and build interactive dashboards using Streamlit, Plotly, and other visualization tools. Collaboration with cross-functional teams, research, and implementation of state-of-the-art ML/AI algorit...

Role Overview: Orion eSolutions, a CMMI Level 3 and ISO 27001-certified company, is looking for a skilled AI/ML Developer with at least 4 years of experience in designing and implementing artificial intelligence solutions. As an AI/ML Developer, you will collaborate with cross-functional teams to integrate AI technologies into products and services, solving complex problems and delivering value to clients. Key Responsibilities: - Design and implement AI models and algorithms to address business challenges. - Develop scalable machine learning and deep learning systems. - Conduct data processing and analysis to enhance model accuracy. - Collaborate with product teams to integrate AI capabiliti...

As an AI/ML Engineer at Automation Anywhere, you will be part of the Cloud Operations (CloudOps) team, responsible for designing, developing, and deploying AI/ML models and automation solutions to optimize cloud infrastructure management and operational efficiency. **Primary Responsibilities:** - Design, develop, and deploy machine learning models and AI algorithms for automating cloud infrastructure tasks like monitoring, fault detection, and predictive maintenance. - Collaborate with Cloud Engineers, ML Engineers, Data Scientists, and DevOps teams to integrate AI/ML solutions into cloud orchestration and management platforms. - Build scalable data pipelines and workflows using cloud-native...

As an experienced Data Scientist, your role will involve the following responsibilities: - Lead the development of predictive models from exploration to full-scale production deployment, taking ownership of the entire product lifecycle. - Build robust regression, time-series, and deep learning models to predict prices/values of financial assets, oil, apparel, and other commodities. - Continuously monitor and fine-tune models for accuracy, performance, and scalability using real-time data feedback for model optimization. - Collaborate with engineering teams to ensure successful deployment and monitoring of models in production environments as part of ML Ops & Deployment. - Work closely with p...

As an AI/ML Software Development Lead, your role involves leading the development and integration of AI/ML models into web applications. You will architect and optimize AI-driven web solutions using frameworks like TensorFlow, PyTorch, Scikit-learn, etc. Your responsibilities also include overseeing the deployment of AI models using cloud services such as AWS, Azure, Google Cloud. Collaborating with cross-functional teams to define AI strategies and implementation is crucial. You will guide the development of scalable web applications using Angular, C#, NestJS, etc. Ensuring efficient data processing and model deployment in production environments is also part of your role. It is essential t...

You will be joining a fast-growing logistics technology startup that is focused on building a next-generation Trucking Management System (TMS) encompassing dispatching, accounting, routing, fleet tracking, and maintenance all in one platform. The company is currently enhancing its offerings by incorporating AI-driven features like OCR for document automation, predictive analytics, and driver efficiency insights. As an AI/ML Intern, your main responsibilities will include: - Assisting in building and training OCR models to extract data from logistics documents like invoices, trip sheets, and bills of lading. - Working on data preprocessing, cleaning, and feature engineering for logistics data...

As a Senior Data Scientist at Medtronic, you will play a crucial role in driving innovation and transforming commercial operations through cutting-edge data science and artificial intelligence techniques. **Role Overview:** You will be responsible for designing, developing, and implementing statistical models, machine learning / deep learning algorithms, and AI techniques to solve complex business problems and enhance commercial excellence. Additionally, you will collaborate closely with cross-functional teams to ensure alignment with commercial requirements, document solutions, optimize machine learning models for performance, deploy code in production environments, monitor model performanc...

Role Overview: You are sought after to fill the position of Technical Lead MERN Stack with 8-10 years of experience. Your primary responsibilities will revolve around overseeing the development, maintenance, and optimization of software applications. It is crucial for you to have a deep understanding of both front-end and back-end technologies, particularly the MERN stack. Moreover, your leadership skills will be essential for guiding and mentoring a team of developers. A keen interest in technology and a collaborative mindset are key attributes for excelling in this role. Key Responsibilities: - Lead the design, development, and deployment of large-scale software applications utilizing the ...

**Job Description** **Role Overview:** As a Lead AI Engineer in the Innovation team of the TDI Chief Strategy Office at Deutsche Bank, your role involves leading technical teams to identify, evaluate, and execute data- and AI-driven innovation projects. You will design and build high-quality software products that utilize AI and other advanced data-driven technologies to create sustainable value for the Bank. Your responsibilities include practicing hands-on and servant technical leadership, being responsible for the technical delivery of innovation projects, and working in a cross-functional team to identify, evaluate, and execute data- and AI-driven innovation projects. Additionally, you w...

As an Associate Director with 15+ years of experience, you will be responsible for leading and managing data science projects. Your key responsibilities will include: - Bachelor's or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. - Proven experience in data science, machine learning, or applied statistics. - Proficiency in programming languages such as Python, R, or SQL. - Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). - Expertise working on Generative AI Engineering/ Architecture including LLMs and hyperparameters (Azure / AWS / GCP / Open Source), Embedding models and vector database knowledge, Prompt...

As a Data Scientist at our company, your main responsibilities will include: - Developing Models: You will be responsible for designing, building, and optimizing machine learning models. - Data Analysis: Collecting, preprocessing, and analyzing large datasets to derive valuable insights. - Data Representation: Creating data visualizations and dashboards to effectively communicate findings to stakeholders. - Collaboration: Working closely with cross-functional teams to define project requirements and deliverables. - Deployment & Maintenance: Deploying AI/ML models into production and ensuring their performance, accuracy, and efficiency. - Documentation: Maintaining comprehensive documentation...