236 Supervised Learning Jobs - Page 3

Role Overview: As a Machine Learning Engineer at our company, you will be responsible for designing, developing, and deploying machine learning models using GCP services such as AI Platform, BigQuery ML, Vertex AI, TensorFlow, and AutoML. You will collaborate with data engineers to design ETL pipelines and manage large datasets on GCP. Additionally, you will develop custom machine learning models tailored to business needs, integrate AI/ML models into cloud applications, and conduct research to stay up-to-date with the latest AI/ML techniques. Key Responsibilities: - Lead the configuration, maintenance, and optimization of the organization's network and security infrastructure to ensure high...

Job Description: You will be responsible for utilizing your technical skills in programming languages such as Python, R, and SQL, along with a deep understanding of ML algorithms, including statistical ML algorithms and deep neural network architectures. You will also work on model ensembling, generative AI models, and ML for Responsible AI. Your expertise will cover AI domains such as NLP, speech, computer vision, and structured data. Additionally, you will be expected to have knowledge of learning patterns in supervised, unsupervised, and reinforcement learning. Your role will involve utilizing tools for data analysis, auto ML, model deployment, scaling, and model fine-tuning. You should a...

Company Description Futurism Technologies, INC. is a trusted global provider of IT solutions, consulting, and business process outsourcing services with over 22 years of expertise in digital technologies. As a CMM Level 3 company, we specialize in delivering 360-degree digital transformation solutions, including AI/ML, blockchain, IoT, cloud computing, and cybersecurity, to diverse industries like healthcare, banking, manufacturing, and eCommerce. Our strategic partnerships with leading technology firms such as IBM, Oracle, Google, Amazon, and Microsoft empower us to streamline IT life cycles and optimize cloud infrastructures. Headquartered in India, and with a presence in global markets, F...

About the Team Our Data Science team is the Avengers to Meeshos S.H.I.E.L.D ???. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. Weve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation. As Lead Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.?? You will be at the forefront of interesting chall...

Our company: At Teradata, we believe that people thrive when empowered with better information. That's why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customersand our customers customersto make better, more confident decisions. The world's top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do: As a senior product leader, you will drive the creation of Teradata's next-generation AI Marketplace from the ground up, redefining how AI/ML technologies ar...

Role Overview: You will be responsible for leveraging your 3+ years of experience in Data Science, machine learning, or related fields to tackle structured and unstructured data problems. Your expertise in Machine Learning and Statistics will be crucial as you develop, implement, and deploy machine learning models on cloud platforms such as Azure, AWS, and GCP. Your role will involve integrating machine learning models into existing systems, developing MLOps pipelines, monitoring model performance, and providing insights to stakeholders. Key Responsibilities: - Apply practical experience in time series forecasting, clustering, classification techniques, regression, boosting algorithms, optim...

As an AI Consultant at GN Automotive, your role will involve identifying high-value AI use cases across the automotive value chain. You will be expected to articulate AI solutions and business value to clients, emphasizing impact, ROI, and feasibility. Collaborating with clients, you will redesign processes using AI-driven workflows and automation. Additionally, you will analyze large, multi-source datasets such as sales, customer, and inventory data to inform and model solutions. Your responsibilities will also include leading Strategy & Execution by defining AI vision & roadmap, assessing data readiness/maturity and value, prioritizing use cases, implementing AI Governance, designing targe...

As an AI Analyst, you will play a crucial role in analyzing and documenting retail business processes to identify opportunities for AI and automation. Your responsibilities will include collaborating with stakeholders to gather requirements, translating business needs into technical specifications, and partnering with data scientists to design AI models aligned with retail objectives. You will support the implementation of AI solutions such as demand forecasting, product recommendations, and customer behavior analysis. Additionally, you will leverage LLMs and Generative AI for automated insights, report generation, customer interaction, and content personalization. Monitoring AI performance,...

Role Overview: You will be responsible for developing, training, and deploying machine learning, deep learning AI models for various business use cases such as classification, prediction, recommendation, NLP, and Image Processing. Additionally, you will design and implement end-to-end ML workflows, collect and preprocess structured and unstructured data, perform exploratory data analysis, apply advanced machine learning algorithms, and integrate models into business applications. Key Responsibilities: - Develop, train, and deploy machine learning, deep learning AI models for business use cases. - Design and implement end-to-end ML workflows from data ingestion to model deployment and monitor...

As an AI/ML Developer at Azentra Global, you will play a crucial role in developing and deploying ML models for real-world business use cases. Your responsibilities will include working on data preprocessing, feature engineering, and model optimization. You will collaborate closely with software teams to integrate AI models into applications and conduct research and experiments with emerging technologies such as NLP, Computer Vision, and Predictive Analytics. Additionally, you will contribute to product ideation and AI-driven feature enhancements. Key Responsibilities: - Develop and deploy ML models for real-world business use cases. - Work on data preprocessing, feature engineering, and mod...

In this role of Machine Learning Specialist at WonderBiz, you will have the opportunity to work with a highly growth-driven work culture and an experienced Dev. team. You will be responsible for analyzing and solving complex problems, proposing and delivering detailed designs and technical solutions for various Product development projects. You will also have the chance to work on projects covering areas such as Edge and Cloud computing, distributed systems, containerization, and more, while staying updated with the latest technologies and architectures in 2020. **Key Responsibilities:** - Work in a cross-functional agile team to develop end-customer facing Machine Learning and Edge IoT appl...

Description About the Role We are looking for a skilled Data Scientist with expertise in machine learning, statistical modeling, and business-focused analytics to join our growing data science team. The ideal candidate will have experience building predictive models, time-series forecasting, and optimization solutions using Python, SQL, and Azure ML or Databricks. In addition to technical proficiency, strong communication skills and the ability to translate complex data into clear business insights are essential for success in this role. Requirements Experience: 5+ years of experience as a Data Scientist or in a similar role. Telecom Industry Experience (24 Years) Is Highly Preferred. Techni...

As a versatile and results-driven Data Scientist / Machine Learning Developer with 7+ years of experience, you will play a crucial role in developing and deploying machine learning models for various business use cases. Your proactive and collaborative mindset will be essential as you work closely with product owners and engineering teams to deliver scalable, production-ready ML solutions. Your responsibilities will include: - Developing, training, and deploying machine learning, deep learning AI models for tasks such as classification, prediction, recommendation, NLP, and Image Processing. - Designing and implementing end-to-end ML workflows, from data ingestion and preprocessing to model d...

As a Machine Learning Engineer and AI Developer with a minimum of 5 years of experience, you will be responsible for the following: - Deep expertise in various machine learning algorithms and techniques such as supervised/unsupervised learning, deep learning, and reinforcement learning. - Solid experience in Natural Language Processing (NLP) including language models, text generation, and sentiment analysis. - Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, and transformers. - Expertise in Agentic AI and the ability to build real-world applications using frameworks like Langgraph, ADK, Autogen, etc. - Hands-on experience in developing and dep...

As an experienced software engineer, you will have the opportunity to impact your career and engage in an adventure where you can push the limits of what's possible. You will be responsible for various key tasks including: - Executing software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. - Creating secure and high-quality production-level code and maintaining algorithms that run synchronously with appropriate systems. - Producing architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by so...

About Aviso AI: Aviso AI is revolutionizing enterprise sales intelligence with its cutting-edge AI solutions for forecasting, dealguidance, and revenue operations. By leveraging AI and machine learning, we transform how enterprise teams operate, allowing them to make data-driven decisions, optimize sales strategies, and increase productivity. We are looking for a Senior Data Scientist who is experienced in Natural Language Processing (NLP) andGenerative AI to join our team. In this role, you will work closely with operations, engineering, sales, product,and customer success teams to design, build, and deploy sophisticated AI solutions that delight our customers and solve critical business ch...

Work on Python-based video analytics, OpenCV filters, object tracking, bounding boxes, and coordinate geometry. Exposure to ML, CNNs, TensorFlow/PyTorch, annotation tools, COCO/KITTI datasets, and basic hardware config (e.g., Jetson Nano) preferred. Required Candidate profile Should know Nvidia DeepStream and have at least 1-3 years of experience in Software development.

Role Overview: As a Machine Learning Engineer in this role, you will be responsible for developing, training, and deploying machine learning and deep learning AI models for various business use cases. You will design and implement end-to-end ML workflows, collect and preprocess data, perform exploratory data analysis, apply advanced machine learning algorithms, and optimize model architectures using frameworks such as Azure ML Studio, TensorFlow, and PyTorch. Additionally, you will integrate models into business applications, build scalable ML components and pipelines, enforce AI guardrails, deploy models in production, monitor model performance, collaborate with cross-functional teams, and ...

As a Machine Learning Engineer at our company, you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex business problems across various product platforms such as Logistics & Maritime. Your key responsibilities will include: - Collaborating with cross-functional teams to understand business requirements and translating them into AI/ML solutions. - Exploring and pre-processing large datasets to ensure data quality and relevance for model training. - Utilizing AWS or Azure-based cloud services for data storage, processing, and model deployment. - Building and optimizing AI models like TensorFlow to achieve high performance and ...

Role Overview: You will be a hands-on AI engineer responsible for designing, prototyping, and delivering generative AI capabilities. Your role will involve practical research, building POCs, fine-tuning open models, contributing to multimodal experiments, and assisting in taking solutions towards production. You will have the opportunity to rapidly learn modern and classical ML techniques. Key Responsibilities: - Build and evaluate prototypes / POCs for generative AI features and ideas. - Fine-tune and adapt open-source LLMs and smaller generative models for targeted use cases. - Collaborate on multimodal experiments involving text, image, and audio, and implement training/evaluation pipelin...

As a Generative AI Engineer at Prismforce, you will play a crucial role in developing cutting-edge NLP and ML projects. Your responsibilities will include: - Fine-tuning Large Language Models (LLMs) using techniques like LoRA and QLoRA - Evaluating and enhancing Retrieval-Augmented Generation (RAG) pipelines for groundedness, accuracy, and relevance - Applying transfer learning and transformer architectures in model development - Validating model accuracy and performance using appropriate metrics - Collaborating with product teams and effectively communicating insights to senior leadership - Contributing innovative ideas in problem-solving sessions - Maintaining an experimental mindset and c...

As a Senior Consultant, Risk Analytics at Northern Trust, you will be responsible for validating models developed predominantly in Python or R, and occasionally SAS. Your role will involve challenging the conceptual soundness of regression and machine learning models and ensuring the use of appropriate and high-quality data for development. You will also need to demonstrate advanced proficiency in financial models related to portfolio analysis, asset management, Value at Risk, Monte Carlo, CAPM, and Factors. Key Responsibilities: - Validate models developed in Python or R, occasionally SAS, ensuring the conceptual soundness and quality of data used - Demonstrate proficiency in financial mode...

As an ML Engineer at GlobalLogic, you will play a crucial role in developing and deploying machine learning models in a professional setting. Your responsibilities will include: - Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning. - Building and deploying models using Python with Azure Data Factory (ADF), Azure Databricks, PySpark, Delta Lake, ETL/ELT, data pipelines, and data lakehouse architecture. - Proficiency in Python and relevant machine learning libraries such as scikit-learn, TensorFlow, and PyTorch. - Experience with cloud computing platforms like AWS, Azure, and GCP, as well as containerization techno...

You have an exciting opportunity to join a dynamic team at Standard Chartered as a Machine Learning Engineer. In this role, you will be responsible for applying machine learning techniques such as Natural Language Processing or Computer Vision using TensorFlow and Pytorch. Your strong analytical and problem-solving skills will be put to use as you build and deploy end-to-end ML models to support predictions, recommendations, search, and growth strategies. Additionally, you will need to have solid software engineering skills across multiple languages like Java, Python, and C/C++. Key Responsibilities: - Establish scalable and efficient processes for data analyses, model development, validatio...

Job Description: AI Developer Are you passionate about building intelligent systems that make a real-world impact Do you enjoy working in a fast-paced and dynamic start-up environment If so, we are looking for a talented AI Developer to join our team! We are a data and AI consultancy start-up with a global client base, headquartered in London UK, and we are looking for someone to join us full time on-site in our vibrant office in Gurugram. Requirements: (01 year of experience) Bachelor's degree in Computer Science, Data Science, or related field. 01 year of experience in AI/ML development or relevant projects (internships count). Familiarity with Python and ML libraries (e.g., scikit-learn, ...