863 Feature Engineering Jobs - Page 19

Responsibilities : Conduct feature engineering , data analysis , and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance . Design and implement Deep Learning models , including Artificial Neural Networks (ANN) , Convolutional Neural Networks (CNN) , and Reinforcement Learning techniques. Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness . Deploy models in production environments and ensure continuous monitoring , improvement , and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals . Utilize fund...

Responsibilities : Conduct feature engineering , data analysis , and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance . Design and implement Deep Learning models , including Artificial Neural Networks (ANN) , Convolutional Neural Networks (CNN) , and Reinforcement Learning techniques. Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness . Deploy models in production environments and ensure continuous monitoring , improvement , and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals . Utilize fund...

Key Responsibilities Conduct feature engineering, data analysis, and data exploration to extract valuable insights Develop and optimize machine learning models for high accuracy and performance Design and implement deep learning models such as ANN, CNN, and reinforcement learning techniques Handle real-time imbalanced datasets and apply techniques to improve model fairness and robustness Deploy models in production environments and ensure continuous monitoring and updates Collaborate with cross-functional teams to align ML solutions with business goals Apply statistical and mathematical principles to ensure model reliability Integrate latest advancements in ML/AI to drive innovation Requirem...

Responsibilities : Conduct feature engineering , data analysis , and data exploration to extract valuable insights. Develop and optimize Machine Learning models to achieve high accuracy and performance . Design and implement Deep Learning models , including Artificial Neural Networks (ANN) , Convolutional Neural Networks (CNN) , and Reinforcement Learning techniques. Handle real-time imbalanced datasets and apply appropriate techniques to improve model fairness and robustness . Deploy models in production environments and ensure continuous monitoring , improvement , and updates based on feedback. Collaborate with cross-functional teams to align ML solutions with business goals . Utilize fund...

As an AI Specialist/Software engineering professional at a middle to senior level, your role will involve utilizing AI-ML to analyze data and predict process behaviors. It is essential to stay updated on industry trends, emerging technologies, and best practices in data science. Your responsibilities will include providing recommendations for adopting innovative approaches within the product teams and fostering a data-driven culture through knowledge sharing and problem-solving collaboration. Key Responsibilities: - Utilize knowledge of data analysis, Artificial Intelligence (AI), and Machine Learning (ML) to prepare test reports demonstrating test results - Communicate effectively with a co...

As a highly motivated and experienced data scientist, you will lead a team of Gen-Ai Engineers. Your responsibilities will include managing all processes from data extraction, cleaning, and pre-processing to training models and deploying them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Key Responsibilities: - Utilize frameworks like Langchain for developing scalable and efficient AI solutions. - Integrate vector databases such as Azure Cognitive Search, Weavite, or Pinecone to support AI model functionalities. - Work closely with cross-functional teams to define problem statements and proto...

Role Overview: You will be joining as a Senior Developer/Lead in Data Science, focusing on Generative AI models and Multi-Agent System Architecture. Your primary responsibilities will include working with Python and various AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn. Additionally, you will be expected to have experience with frameworks like LangChain, AutoGen, or similar for multi-agent systems and possess strong knowledge in data preprocessing, feature engineering, and model evaluation techniques. Key Responsibilities: - Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience with Generative AI models like Azure OpenAI GPT and Mul...

As an Industrial Software Developer at AVEVA, you will be responsible for the following key tasks: - Commercial Data Intelligence: You will play a crucial role in delivering and advancing the commercial data strategy to ensure a single version of the truth for reporting, analytics, and AI/ML initiatives. This will involve contributing to data warehouse and data lake initiatives to enable advanced analytics and AI-ready datasets. - Data Engineering Pipelines: Your responsibilities will include designing and maintaining ETL/ELT pipelines using Microsoft-based tools (e.g., Data Factory, Synapse, Fabric pipelines) to ensure data quality, integrity, and timeliness. You will also be driving the ad...

As a Machine Learning Engineer at our company, your primary focus will be applying Natural Language Processing (NLP) AI techniques, conducting machine learning tasks, and developing high-quality prediction systems for data classification. You will also be responsible for presenting information through data visualization techniques and undertaking data collection, preprocessing, and harmonization. **Roles and Responsibilities:** - Develop applications in machine learning and artificial intelligence - Select features, build, and optimize classifiers using machine learning techniques - Understand business objectives and develop models to achieve them, along with tracking progress metrics - Mana...

As an AI/ML Engineer, you will be responsible for the following: - 100% hands-on Experience is a must in development and deployment of production-level AI models at enterprise scale. You will be the decision-maker in Build Vs Buy scenarios. - Drive innovation in AI/ML applications across various business domains and modalities such as vision, language, and audio. - Implement Best practices in AI/ML, MLOps, DevOps, and CI/CD for AI/ML projects. - Continuously identify and evaluate emerging tools and technologies in the AI/ML space for potential adoption. Your qualifications should include: - Overall 5 to 7 years of experience, with at least 4 years in AI, ML, and Gen AI technologies. - Proven...

As a Global Healthcare Consulting Firm, PharmaACE is dedicated to providing Analytics and Business Solutions to a diverse range of clients in the pharmaceutical and life sciences industry. We are seeking a talented individual to join our team in the role of a Business Analyst. **Key Responsibilities:** - Analyze various pharmaceutical and life sciences data sets such as claims data, electronic medical records, patient level data, prescription data, and sales data - Communicate findings to clients and collaborate with onshore team members - Develop and nurture client relationships while acting as a key offshore contact for projects - Understand business objectives and create models to support...

At MORPHIUS AI, you'll be part of a team that is shaping the future of business automation using artificial intelligence. As an innovator and technology enthusiast, you'll contribute to creating solutions that have a real impact. Collaboration, cutting-edge projects, and skill development are at the core of our values. If you're passionate about AI's potential to revolutionize businesses and seek to be a part of a progressive team, we welcome your application. **Key Responsibilities:** - Design and implement machine learning models to address intricate business challenges **Qualifications Required:** - Minimum 3 years of experience in machine learning - Proficient in Python and ML frameworks...

Role Overview: You will be responsible for leveraging your expertise in Python and LLM frameworks such as Hugging Face Transformers and LangChain to contribute to the development of cutting-edge AI solutions. Your role will involve working on big data processing using Spark, implementing version control with Git and experiment tracking with MLflow. Additionally, you will be expected to demonstrate proficiency in software engineering practices, DevOps tools, LLM infrastructure, MLOps strategies, and cloud services while collaborating with cross-functional teams in a Microservices based architecture. Key Responsibilities: - Demonstrate advanced proficiency in Python and familiarity with Go or ...

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development ...

We are looking for a passionate and curious AI/ML Engineer to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities Assist in designing, developing, and training machine learning models using structured and unstructured data Collect, clean, and preprocess large datasets for model building Perform exploratory data analysis and statistical modeling Collaborate with senior data scientists and engineers to build scalable AI systems Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics Document models, processes, ...

Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers pace of innovation while improving the developer experience. We offer solutions for every step of the software delivery lifecycle to build, test, secure, deploy and manage reliability, feature flags and cloud costs. The Harness Software Delivery Platform includes modules for CI, CD, Cloud Cost Management, Feature Flags, Service Reliability Management, Security Testing Orchestration, Chaos Engineering, Software Engineering Insights and continues...

Job Description Role and Responsibilities Working with stake holders from different business units to identify the business opportunities for leveraging the data to drive business solutions. Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data, applying statistical methods as necessary, discover the hidden patterns and viewing experiences to identify critical data insights. Develop customized ML/AI algorithms for the customers so that they are suited 100% to the requirements Develop reusable AI/GenAI/ML/Statistical models that can be scaled to multiple businesses with minimum customization. Translate a...

As a Lead Data Scientist in the J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team, you will be at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Leveraging advanced analytics, AI, and Machine learning technologies, including Large Language Models (LLMs), you will transform how compliance, conduct, and operational risks are managed across the organization. **Key Responsibilities:** - Design, deploy, and manage AI/ML models using advance AI/ML techniques, LLMs, and Agentic AI for developing compliance and risk management solutions. - Conduct research on AI techniques to enhance model performance in co...

As an IT professional at our company, you will have the opportunity to work on cutting-edge machine learning projects. Your responsibilities will include: - Assisting in the development and implementation of machine learning models and algorithms. - Writing clean, efficient, and reusable Python code for data processing, modeling, and deployment. - Working on datasets by performing tasks such as data cleaning, preprocessing, feature engineering, and visualization. - Collaborating with senior data scientists and developers to build scalable ML solutions. - Conducting literature reviews and staying updated on the latest ML/AI research. - Contributing to model deployment and integration with API...

As a Machine Learning Engineer at Apple, you will have the opportunity to impact the future of manufacturing through cutting-edge ML techniques. Your role will involve a wide variety of skills, innovation, and working on groundbreaking applications of machine learning in research and implementation. Your work will have a significant impact on billions of users worldwide by influencing globally recognized products" supply chain. - Collaborate with different engineering and operations teams to develop ML solutions for various vision and language-based tasks and projects. - Deliver ML technologies aligned with fast-paced new technology and short product lifecycle, ensuring top-tier product qual...

As a Machine Learning Instructor at MIT Academy SDN BHD, you will play a vital role in educating and mentoring students in the field of machine learning and artificial intelligence. Your passion for teaching and strong technical expertise will be essential in delivering engaging lectures, guiding students through real-world projects, and staying updated with industry trends. Key Responsibilities: - Design, develop, and deliver engaging lectures, labs, and projects in Machine Learning and related topics. - Teach core concepts such as supervised and unsupervised learning, neural networks, natural language processing, computer vision, and model deployment. - Guide students through real-world pr...

Role: Data Scientist YOE: 5+ Indiranagar, Bengaluru Must have: LLM, NLP, text to speech, python, deep learning framework Ready to work in an early stage startup Responsibilities Own the full ML lifecycle: requirements, algorithm design, implementation, and deployment. Build models for conversational intelligence that scale to hundreds of thousands of conversations daily. Stay updated with cutting-edge NLP and speech research, applying state-of-the-art solutions. Design scalable ML pipelines and infrastructure to improve continuously with data. Optimize models for speed, accuracy, and real-time voice AI performance. Requirements 5+ years of experience in ML, Data Science, or related fields. S...

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we'll give you what you need to make it happen. It won't always be easy, growing takes grit. But at ABB, you'll never run alone. Run what runs the world. This Position reports to: MODP Division IS Manager What We Believe In ABB Drive Products serves the industries and infrastructure segments with world-class drives and programmable logic controllers (PLC). With its products, global scale and local presence, the Division helps customers to improve energy efficiency, productivity and safety. Your Role And Responsibilities The Data & AI Archite...

Role Overview: As a Python AI Developer, your role will involve developing and deploying AI models using Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. You will work with internal databases like SQL and NoSQL to extract, clean, and preprocess data for AI models. Additionally, you will design and implement data pipelines for training and inference, optimize model performance, and ensure scalability. Collaboration with software developers to integrate AI solutions into production systems will also be part of your responsibilities. It is crucial to ensure the security and integrity of AI-driven applications and stay updated with the latest AI, ML, and data...

As a Machine Learning Engineer, you will be applying your expertise to help develop a world-leading capability in the domain of machine learning. Your responsibilities will include: - Contributing to the design, development, deployment, testing, maintenance, and enhancement of machine learning software solutions. - Applying machine learning, deep learning, and signal processing techniques on large datasets such as audio, sensors, images, videos, and text to develop models. - Architecting large scale data analytics and modeling systems, designing and programming machine learning methods, and integrating them into the ML framework and pipeline. - Collaborating with data scientists and analysts...