862 Feature Engineering Jobs - Page 4

Hiring Data Science Interns to support our AI, analytics, and automation initiatives. Salary : INR 30,000 / month Responsibilities Perform data cleaning, preprocessing, and feature engineering to prepare high-quality datasets. Collaborate with cross-functional teams to deliver data-driven solutions aligned with business needs. Build and maintain deep learning models for analytical, forecasting, and predictive use cases. Develop Agentic AI workflows and automation pipelines to enhance productivity and system efficiency. Eligibility Strong understanding of Python, Machine Learning, and basic Deep Learning (TensorFlow/PyTorch). Good knowledge of data preprocessing, EDA, and feature engineering....

JOB TITLE : Engineering Manager/ Sr Manager, AI & ML JOB LOCATION: NAVI MUMBAI About the Company We are people-first and value-driven. Every member of our global team is empowered to be a catalyst for change. Every day is a chance to bring your ideas to life, learn something new, and grow. No idea is ignored. No voice is sidelined. With listeners in nearly every country on the planet, speaking dozens of languages, we like to think we have one of the most diverse user bases in the world. That's only possible because we value radical inclusivity in all our offices. We believe diversity is powerful. What sets us apart is what brings us together. JioSaavn is proud to be an equal opportunity empl...

Job Description At American Express, our culture is built on a 175-year history of innovation, shared and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do pr...

You will be responsible for architecting end-to-end AI/ML solutions tailored to business requirements, ensuring scalability and performance. Your experience in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences will be crucial, requiring an ability to context switch in levels of technical depth across AI/ML technologies and platforms. You will architect production level AI agent/RAG solutions for customers using the unified platform, including end-to-end ML pipelines, inference optimization, integration with cloud-native services, and MLOps. Providing guidance and best practices to development teams on AI agent implementations will also be...

As a Senior Data Science & Advanced Analytics Leader, your main responsibility will be to drive data strategy, lead the design and development of scalable data solutions, and enable AI/ML-driven decision-making across the organization. You will oversee the end-to-end development lifecycle, manage high-performing teams, and collaborate closely with cross-functional stakeholders to enable data-driven product innovation and business impact. Key Responsibilities: - Lead the end-to-end architecture, development, and optimization of scalable data pipelines supporting AI/ML model deployment and analytics use cases. - Oversee Database and NoSQL data platforms (810+ years) including schema design, pe...

Minimum 5 years of experience in machine learning engineering and AI development. Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. Expertise in Agentic AI and building real world applications using the same. Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. Hands-on experience developing and deploying generative AI applications (text generat...

Role Overview: At o9 Solutions, your mission will be to apply a variety of machine learning techniques to real-world advantages and drawbacks. You will be responsible for developing and optimizing models for demand sensing/forecasting, optimization, anomaly detection, simulation, and stochastic models. Additionally, you will use the latest advancements in AI/ML to solve business problems and work collaboratively with clients and project teams to ensure successful project delivery. Key Responsibilities: - Apply machine learning techniques such as clustering, regression, neural nets, time series, and optimizations - Develop and optimize models for demand sensing/forecasting, optimization, anom...

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google BigQuery Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer - AI/ML, you will be responsible for designing, building, and maintaining scalable data pipelines and systems that power AI/ML applications on Cloud platforms. Your typical day will involve leveraging Google Cloud's data services, implementing...

About The Role 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 : Large Language Models Good to have skills : NA Minimum 2 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...

Title and Summary ML/AI Engineer II-2 Overview Mastercards Business & Market Insights (B&MI) group empowers organizations to achieve growth & innovation goals by providing unparalleled data-driven insights and advanced analytics. By leveraging proprietary data and global expertise, B&MI helps businesses make smarter, more informed decisions that drive profitability and success. We turn complex data into actionable strategies that lead to better outcomes and sustained competitive advantage. We are currently looking for a Senior Engineer, Machine Learning Engineering for Operational Intelligence Program, within B&MI group. This role would entail development and delivery of secure, scalable, an...

Your Role Develop and implement advanced machine learning models and algorithms to solve complex business problems. Design and maintain end-to-end ML pipelines using MLOps best practices for model deployment and monitoring. Utilize PySpark for large-scale data processing and transformation. Collaborate with data engineers and analysts to ensure data quality, integrity, and accessibility. Perform exploratory data analysis, feature engineering, and model optimization. Communicate insights and recommendations to stakeholders through clear visualizations and reports. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/a...

Job Role: Data Scientist Experience: 4-6 Years Location: Hyderabad Responsibilities; Hands on experience in designing and implementing prompts for conversational AI or virtual assistants Develop and implement machine learning models to solve complex business problems. Apply NLP techniques to analyze and interpret large volumes of text data. Design and train deep learning models for various applications. Utilize generative AI to create innovative solutions and enhance existing processes. Deploy and manage machine learning models on Azure Cloud infrastructure. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Perform data p...

Experience 5+ years of professional experience in Machine Learning Engineering, Software Engineering with a strong ML focus, or a similar Programming Skills : Expert-level proficiency in Python, including experience with writing production-grade, clean, efficient, and well-documented code. Experience with other languages (e.g., Java, Go, C++) is a Software Engineering Fundamentals : Deep understanding of software design patterns, data structures, algorithms, object-oriented programming, and distributed Learning Expertise : Solid theoretical and practical understanding of various machine learning algorithms Proficiency with ML frameworks such as PyTorch, Scikit-learn. Experience with feature ...

Key Responsibilities: Develop and implement AI driven solutions to power workflow and process automation Build optimise and maintain scalable AI models tailored to workflow and task automation challenges Drive the integration of advanced AI capabilities into our workflow automation platform ensuring seamless performance and user experience Lead continuous improvement initiatives to enhance the functionality speed and scalability of our Camunda based platform Collaborate closely with cross functional teams to seamlessly integrate advanced AI capabilities into our workflow automation platform Technical Requirements: 5 years of experience in software engineering with a focus on AI or machine le...

We are seeking an experienced Senior Data Science Engineer to join our innovative team. As a Machine Learning and Generative AI Specialist, you will play a critical role in developing and deploying advanced ML models and algorithms to drive data-driven decision-making processes. Here are the key responsibilities and desired skills: 1. Algorithm Development: o Design and implement machine learning algorithms for various applications, including natural language processing (NLP), recommendation systems, and predictive analytics. o Leverage your expertise in deep learning and generative AI to create innovative solutions. 2. Data Processing and Analysis: o Collect, preprocess, and analyze large-s...

Job Title Sr.Azure Data Engineer | Hyderabad Job Description Summary Cushman & Wakefield is seeking a motivated Azure Data Engineer to join the Data Engineering & Analytics team. In this early-career role, you will support the design, development, and optimization of data pipelines on Azure to drive key business initiatives. Working under the guidance of senior engineers and architects, youll gain hands-on experience with modern data tools while contributing to high-impact, enterprise-scale projects. This is an excellent opportunity for professionals eager to grow their skills in a collaborative, client-centric environment that values innovation and data-driven decision-making. Job Descripti...

Position Summary: Senior Data Scientist with excellent hands-on technical skills responsible for designing and building end-to-end ML/AI solutions, implementing technical strategy, and mentoring engineering colleagues to build scalable production systems. The Team: The candidate will join a growing team of AI Engineers & Data Scientists as a member of the Data Science and Platforms team in Market Intelligence (MI) Enterprise Solutions (ES) at S&P Global. We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, Gen AI, Operations Research, Data and Machine Learning ...

We are seeking a Data Science Engineer to design, build, and optimize scalable data and machine learning systems. This role requires strong software engineering skills, a deep understanding of data science workflows, and the ability to work cross-functionally to translate business problems into production-level data solutions. Key Responsibilities: Design, implement, and maintain data science pipelines from data ingestion to model deployment. Collaborate with data scientists to operationalize ML models and algorithms in production environments. Develop robust APIs and services for ML model inference and integration. Build and optimize large-scale data processing systems using Spark, Pandas, ...

Responsibilities: o Design, develop, and implement AI/ML models and algorithms. o Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. o Write clean, efficient, and well-documented code. o Collaborate with data engineers to ensure data quality and availability for model training and evaluation. o Work closely with senior team members to understand project requirements and contribute to technical solutions. o Troubleshoot and debug AI/ML models and applications. o Stay up-to-date with the latest advancements in AI/ML. o Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. o Develo...

We are currently looking for a Senior Engineer, Machine Learning Engineering for Operational Intelligence Program, within B&MI group. This role would entail development and delivery of secure, scalable, and high-performing AI/ML solutions. As a senior technologist, this role will also focus on engineering best practices, next gen innovation and stakeholder management, while fostering a culture of continuous learning and technical excellence within the team. Roles and Responsibilities: Lead the design and development of AI and analytics solutions spanning classical machine learning, time-series forecasting, statistical modeling, deep learning, and emerging agent-based architectures Develop pr...

Role Description: The Software Engineer is responsible for designing, developing, and maintaining software applications and solutions that meet business needs and ensuring the availability and performance of critical systems and applications. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. Own endtoend architecture and implementation for highimpact services and platforms (APIs, data pipelines, microservices, event-driven systems). Write clean, welltested code; perform design and code reviews; establ...

About The Role 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 Operations 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...

About The Role 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 15 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 ...

About The Role 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 : Dataiku Data Science Studio (DSS) Good to have skills : NA Minimum 3 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 too...

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Google Cloud Platform Architecture Good to have skills : Google BigQuery Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer - AI/ML, you will be responsible for designing, building, and maintaining scalable data pipelines and systems that power AI/ML applications on Google Cloud platforms. Your typical day will involve leveraging Google Cloud's data services, impleme...