247 Feature Engineering Jobs - Page 2

You will be responsible for conducting Exploratory Data Analysis (EDA) and data wrangling to clean, process, and visualize large datasets. Your primary task will involve developing and implementing Machine Learning models for demand forecasting using Python. Additionally, you will work on feature engineering to enhance model accuracy and performance. Handling time-series data processing for efficient forecasting will be a crucial part of your role. Collaborating with cross-functional teams is essential to deliver actionable insights from data analysis. You will utilize Excel for basic data manipulation tasks like pivoting, creating formulas (e.g., VLOOKUP, SUMIF), and performing aggregation ...

At Dark Matter Technologies, you are part of a cutting-edge revolution in loan origination. The company's commitment to advanced AI and origination technology solutions is reshaping the industry landscape, paving the way for seamless, efficient, and automated experiences. As a Senior Data Scientist at Dark Matter Technologies, you will play a pivotal role in applying data science and machine learning techniques to tackle complex business challenges and foster innovation. With a minimum of 10 years of experience in the field, your expertise will be pivotal in designing, developing, and implementing sophisticated models for regression, predictions, ranking, and trend analysis. Your responsibil...

As a Senior AI Engineer at BlackLine, you will play a crucial role in developing and deploying enterprise-ready Generative AI solutions. Your responsibilities will include turning raw data into actionable insights, contributing to innovative solutions, and driving advancements in artificial intelligence. You will be at the forefront of applying generative AI and automation technologies to address real-world business challenges. Your expertise in AI technologies, including vector databases and knowledge graphs, will be instrumental in navigating complexities such as data privacy, security, compliance, and accuracy. You will have the opportunity to explore emerging technologies to enhance AI i...

As a member of 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, Machine learning technologies, including Large Language Models (LLMs), our team is dedicated to transforming how compliance, conduct, and operational risks are managed across the organization. Joining our CCOR Data Science, Applied AI & ML team, you will play a crucial role in developing AI/ML solutions that enhance compliance and risk management. Your responsibilities will involve leveraging advanced AI / ML techniques, LLMs, and Agen...

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Center of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno-science, CNS, CV-Met, and Rare Diseases. We ...

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 : Machine Learning Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your t...

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 : Machine Learning Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your t...

Research, backtest, and trade systematic strategies across asset classes. Build robust data pipelines, feature engineering, and ML models (tree ensembles, linear models, deep learning where justified). Use GenAI to accelerate research notes, code scaffolding, and experiment tracking; maintain strict risk limits and compliance. Strategy research with rigorous validation Backtesting with transaction costs/slippage Python (NumPy/Pandas) and ML (sklearn/torch) Risk management and monitoring GenAI for research acceleration and doc hygiene.

You will be joining a life sciences company that specializes in pharmaceutical regulatory solutions and utilizes AI to address intricate data challenges within specialized fields. As a Machine Learning Engineer, your primary responsibility will be to lead NLP-driven projects and contribute to the development of foundational AI models tailored for domain-specific applications. Your key tasks will involve designing and building machine learning systems in the Pharma Life Science domain, implementing relevant ML algorithms, conducting experiments, and keeping abreast of the latest advancements in the field. Your duties will include developing and refining machine learning models that focus on t...

As a Machine Learning Engineer in our Bangalore, India office, you will utilize your 4+ years of experience to design, develop, and deploy scalable machine learning models that enhance our products and services. Your passion for data will drive you to collaborate with cross-functional teams and leverage the latest advancements in machine learning and AI to optimize internal processes and enhance customer experience. Your responsibilities will include designing and implementing ML models for production, collaborating with data scientists and engineers to address business needs, performing data cleaning and feature engineering, evaluating model performance, and managing the lifecycle of ML mod...

Join Our Journey at VuNet We are looking for a passionate and detail-oriented Data Science Intern to join our team and support various analytical and data-driven initiatives. This internship is ideal for students or early-career professionals who are enthusiastic about data analysis, machine learning, and real-world problem-solving. You will have the opportunity to work on impactful projects involving data preprocessing, exploratory data analysis (EDA), model development, and dashboarding, gaining valuable experience in the data science lifecycle while collaborating with experienced data scientists and engineers. Your responsibilities will include assisting in cleaning, preprocessing, and an...

We are seeking a highly motivated AI Engineer with a solid background in artificial intelligence and practical experience in developing AI-driven products. As an AI Engineer, you will play a key role in the design, development, and deployment of AI models and solutions that enhance our range of products and services. This position is particularly well-suited for recent graduates who have gained hands-on experience through internships, academic projects, or previous roles in the AI field. Your responsibilities will include designing, optimizing, and implementing machine learning (ML) and deep learning (DL) models to enhance AI-powered applications. You will collaborate closely with data scien...

As a Python Developer at our company, you will be responsible for developing, deploying, and optimizing Python-based applications for Visual AI tasks such as image classification, object detection, and image generation. Your expertise in Django and Flask, along with your proficiency in Django Rest Framework (DRF), will be crucial in this role. Additionally, you will work with machine learning concepts and tools like PyTorch, TensorFlow, and transformer architectures. Your key responsibilities will include designing and implementing machine learning models using frameworks like TensorFlow, PyTorch, and OpenCV. You will collaborate with cross-functional teams to integrate Visual AI capabilitie...

We are searching for a highly skilled and experienced Python Developer to become a valuable part of our dynamic team. The ideal candidate should possess a robust background in developing web applications utilizing Django and Flask, along with expertise in deploying and managing applications on AWS. It is essential to have proficiency in Django Rest Framework (DRF), a solid grasp of machine learning concepts, and practical experience with tools such as PyTorch, TensorFlow, and transformer architectures. Your primary responsibilities will include developing, deploying, and optimizing Python-based applications for Visual AI tasks like image classification, object detection, and image generation...

Key Responsibilities: Implement use cases involving Large Language Models (LLM) as a mandatory requirement. Research and apply appropriate deep learning algorithms and tools. Understand and transform complex data science prototypes and designs into production-ready solutions. Develop machine learning applications based on project requirements. Select, transform features, and build/optimize classifiers. Train and retrain machine learning systems as needed. Extend and customize existing machine learning libraries and frameworks. Perform statistical analysis and tune system parameters for optimal performance. Collaborate closely with project managers and data scientists to enhance model perform...

Key Responsibilities: Implement use cases involving Large Language Models (LLM) as a mandatory requirement. Research and apply appropriate deep learning algorithms and tools. Understand and transform complex data science prototypes and designs into production-ready solutions. Develop machine learning applications based on project requirements. Select, transform features, and build/optimize classifiers. Train and retrain machine learning systems as needed. Extend and customize existing machine learning libraries and frameworks. Perform statistical analysis and tune system parameters for optimal performance. Collaborate closely with project managers and data scientists to enhance model perform...

You are a talented AI Developer with hands-on experience in AI development, and you will be joining our team in Chennai. You have a strong background in Python programming and a passion for leveraging AI technologies to build complex products. You hold a Bachelors degree in Computer Science, Engineering, Business, or a related field (Masters degree preferred) and have a minimum of 2 years of experience in AI development, focusing on NLP and LLM technologies. Your solid understanding of machine learning algorithms, deep learning techniques, and neural network architectures will be beneficial for this role. Proficiency in Python and related libraries/frameworks for AI development (e.g., Tensor...

As a Machine Learning Engineer at Ergobite, you will be responsible for developing and deploying machine learning models using TensorFlow and/or PyTorch to create efficient and scalable solutions. Your role will involve implementing machine learning models and preprocessing tasks with Scikit-learn to optimize performance across various applications. You will have the opportunity to apply supervised and unsupervised learning algorithms like SVM and Decision Trees and design deep learning architectures such as CNNs and RNNs to address complex challenges effectively. In this role, you will conduct research and experiments with reinforcement learning techniques to enhance our capabilities. Addit...

We are seeking a highly skilled Machine Learning Engineer or AI Model Developer with a minimum of 5 years of practical experience in constructing, training, and implementing customized AI models. The perfect candidate will possess hands-on expertise in developing and refining machine learning models rather than merely incorporating pre-existing models through APIs. You should exhibit natural abilities such as being smart, self-motivated, responsible, and an out-of-the-box thinker. Additionally, you should be detail-oriented, a powerful analyzer, and possess excellent written communication skills. Requirements: - Minimum of 5 years of practical experience in creating custom machine learning m...

The Compliance, Conduct, and Operational Risk (CCOR) Data Science team at J.P. Morgan is leading the way in creating innovative AI and ML solutions to improve risk management and compliance processes. We utilize advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to revolutionize how we handle compliance, conduct, and operational risks throughout the organization. Join our CCOR Data Science, Applied AI & ML team, and become a key player in developing AI/ML solutions to elevate compliance and risk management. Your main responsibilities will involve utilizing advanced AI / ML techniques, LLMs, and Agentic AI to create and implement models for tasks su...

You are a highly skilled and innovative Data Scientist who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems. Your role involves developing cutting-edge AI-based systems and translating complex mathematical challenges into actionable machine learning models to ensure seamless and engaging user experiences. You will be actively participating in a wide variety of Natural Language Processing (NLP) tasks, refining and optimizing prompts to enhance the performance of Large Language Models (LLMs) such as GPT, BERT, and T5. Your key responsibilities include: - Developing innovative Generative AI solutions using machine learning and ...

You will be responsible for designing, developing, and deploying deep learning models for various applications in Computer Vision and Natural Language Processing. Your role will involve working extensively with Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Transformer models. Conducting research on state-of-the-art deep learning algorithms and applying them to solve complex problems will be a key aspect of your job. You will be required to implement and fine-tune machine learning models using TensorFlow/PyTorch and collaborate with data scientists, researchers, and software engineers to integ...

The position is based at Altimetrik with base locations in Bangalore, Chennai, Pune, Jaipur, Hyderabad, Gurugram. The ideal candidate should be able to join immediately or within 10 days. As a Machine Learning Engineer, your primary responsibility will be to design and implement ML solutions while architecting scalable and efficient systems. You should be proficient in Machine Learning Algorithms, Data Engineering, ETL/ELT processes, data cleaning, preprocessing, EDA, feature engineering, data splitting, and encoding. Additionally, you should have experience in MLOps, including model versioning, training, experimenting, deployment, and monitoring using tools such as Python, Pandas, TensorFlo...

The ideal candidate for this role should hold a Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field or possess equivalent practical experience. Additionally, you should have at least 5 years of experience working with ML/AI frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. It is essential to have a background in hardware description languages like Verilog, SystemVerilog, and VHDL, along with experience in applying ML/AI techniques. Preferred qualifications include hands-on experience with ML/AI applications in hardware design, verification, and Low Power, such as formal verification with ML and coverage closure with ML...

As an AI/ML Engineer specializing in open-source Large Language Models (LLMs) for the Banking, Financial Services, and Insurance (BFSI) domain, your primary responsibility will be to design, develop, and deploy LLMs that enhance customer interaction, operational efficiency, and data-driven decision-making. In this role, you will collaborate closely with cross-functional teams to create innovative AI solutions for the BFSI sector. Your key responsibilities will include developing and implementing open-source LLMs tailored for BFSI applications, working with product managers, data scientists, and software engineers to define use cases and deliver high-quality solutions, conducting experiments ...