862 Feature Engineering Jobs - Page 6

Role Overview: You will be responsible for designing and implementing ML models to address complex business challenges. Additionally, you will clean, preprocess, and analyze large datasets to derive meaningful insights and model features. It will be your responsibility to train and fine-tune ML models using various techniques, evaluate model performance, optimize for efficiency and scalability, deploy ML models in production, and collaborate with data scientists, engineers, and stakeholders to integrate ML solutions. You will also stay updated on ML/AI advancements, contribute to internal knowledge, and maintain comprehensive documentation for all ML models and processes. Key Responsibilitie...

As a Data Scientist working on a contractual basis in Mumbai, your role involves: - Role Overview: You will be responsible for designing and implementing ML models to address complex business challenges. Your tasks will include cleaning, preprocessing, and analyzing large datasets to derive meaningful insights and model features. Additionally, you will train and fine-tune ML models using various techniques, assess model performance, optimize for accuracy, efficiency, and scalability, and deploy ML models in production. Collaboration with data scientists, engineers, and stakeholders to integrate ML solutions, staying updated on ML/AI advancements, contributing to internal knowledge, and maint...

Role -Artificial Intelligence Consultant. Experience - 10 to 16 years. Location - Pan India Desired Competencies (Technical/Behavioral Competency) Must-Have Strong experience with Python and ML frameworks like TensorFlow, PyTorch, scikit-learn. Expertise in model deployment, APIs (Flask/FastAPI), and containerization (Docker, Kubernetes). Proven hands-on experience with at least one major cloud platform for AI/ML workflows. Experience with CI/CD pipelines, MLflow, or Kubeflow. Strong understanding of data preprocessing, feature engineering, and model evaluation. Good-to-Have Familiarity with ML pipelines, and orchestration tools. Experience with feature stores, vector databases, or event-dri...

Job Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-e...

Who we are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This pa...

Role Description: Principal Machine Learning Scientist - Search Location: Bangalore About the Team: Join Nykaa's Data Science team as a Principal Machine Learning Scientist, where you'll play a pivotal role in driving advancements in search relevance and ranking across our platforms. In this role, you will analyze data, develop machine learning models, and enhance search algorithms, ensuring an optimized and seamless user experience. This position requires close collaboration with cross-functional teams to gather performance metrics, evaluate search effectiveness, and implement strategies for continuous improvement on Nykaa's platform. What are we looking for Education : Bachelor's or Master...

Must-Have Skills: Strong Python: Tensorflow, PyTorch, Scikit-learn Agentic AI: Vector DB, Feature Engineering, Model Evaluation Metrics, Hyperparameter Tuning Object-Oriented Programming Database: SQL & NoSQL Required Candidate profile Deep understanding of Software Design Pattern, Data Structure, Algorithm, Object-Oriented Programming, and Distributed System

Must-Have Skills: Strong Python: Tensorflow, PyTorch, Scikit-learn, Django GenAI: LLM, RAG, LangChain, Mistral, Llama, Hugging Face Agentic AI: Vector DB, Feature Engineering, Model Evaluation Metrics, Hyperparameter Tuning Database: SQL & NoSQL Required Candidate profile Deep understanding of Software Design Pattern, Data Structure, Algorithm, Object-Oriented Programming, and Distributed System

Role Overview: Join the growing AI team at NewCold as an AI Associate (ML) and contribute to building real-world machine learning solutions that have a direct impact on business performance. This role offers an exciting opportunity to collaborate with experienced professionals, tackle live data problems, and advance your career in a dynamic and collaborative environment. Key Responsibilities: - Design, train, and deploy ML models for various applications in supply chain, logistics, finance, and operations. - Develop ML models for forecasting, classification, clustering, and anomaly detection using real business data. - Engage in the full ML lifecycle, including data preparation, feature engi...

As a Machine Learning Engineer, you will work closely with cross-functional teams to define ML problems and objectives. You will be responsible for researching, designing, and implementing various machine learning algorithms and models such as supervised, unsupervised, deep learning, and reinforcement learning. Your tasks will also include analyzing and preprocessing large-scale datasets for training and evaluation, as well as training, testing, and optimizing ML models to ensure accuracy, scalability, and performance. Deploying ML models in production using cloud platforms and/or MLOps best practices will be a key part of your role. You will monitor and evaluate model performance over time ...

As the Manager of Data Science at Lightcast, you will lead and grow a team of data scientists and machine learning engineers to design, build, and productionize analytics and ML solutions that drive business outcomes. You will be a hands-on technical leader who balances people management, project delivery, and strategic direction partnering with product, engineering, and business stakeholders to scale reliable, explainable, and measurable data products. **Major Responsibilities:** - Coach, mentor, develop, and lead a high-performing data science team. - Plan projects, prioritize work, allocate resources, and track milestones to ensure timely delivery of data science projects and deliverables...

As a Data Scientist Engineer at our company, you will be responsible for the following: - **Model Development:** Design and implement ML models to tackle complex business challenges. - **Data Preprocessing:** Clean, preprocess, and analyze large datasets for meaningful insights and model features. - **Model Training:** Train and fine-tune ML models using various techniques including deep learning and ensemble methods. - **Evaluation and Optimization:** Assess model performance, optimize for accuracy, efficiency, and scalability. - **Deployment:** Deploy ML models in production, monitor performance for reliability. - **Collaboration:** Work with data scientists, engineers, and stakeholders to...

Role Overview: At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Key Responsibilities: - Lead the end-to-end design, development, and deployment of scalable and robust AI-powered applications, from frontend interfaces to backend services. - Architect and implement Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and agentic frame...

As an experienced Salesforce AI Architect Manager with over 10 years of expertise in AI and machine learning implementations, your role will involve architecting and leading AI-driven initiatives within the Salesforce platform. You will be pivotal in engaging with clients, providing technical leadership, and delivering scalable AI solutions. Here's a breakdown of your responsibilities: - Pre-Sales and RFPs: - Engage with clients to identify AI and Salesforce needs, aligning business objectives with Salesforce Einstein AI capabilities. - Lead technical discussions during pre-sales engagements, showcasing expertise in Salesforce Einstein AI. - Develop and deliver presentations, demos, and proo...

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy...

What you'll do The successful candidate will work on a mission-critical software development program of work. We are looking for a candidate with a strong software development background as well as team lead, or technical mentorship experience. In this role, you will understand the technical landscape, set the direction for the team, find ways to move forward when obstacles arise. The day-to-day Participate in system design/definition efforts. Drive software design/implementation efforts Participate in DevOps efforts Play an active role in a Scrum team What you'll need 3 to 5 years of software development experiences with Bachelors degree or higher in Computer Engineering, Computer Science, ...

About The Role Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Machine Learning Good to have skills : Python (Programming Language) Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will develop and configure software systems, either end-to-end or for specific stages of the product lifecycle. Your typical day will involve collaborat...

About The Role Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Machine Learning Good to have skills : Python (Programming Language) Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, either end-to-end or for specific stages of the product lifecycle. Your typical d...

Role Overview: You will be joining the data42 team at Novartis, where you will play a crucial role in leveraging Real-World Data (RWD) and AI to contribute to the discovery of groundbreaking medical insights. Your primary focus will be on executing innovative methodologies and AI models to mine RWD on the data42 platform, ultimately accelerating the development of life-changing medicines. Key Responsibilities: - Collaborate with R&D stakeholders to implement scalable data and technology solutions aligned with the data42 strategy. - Serve as a Subject Matter Expert (SME) in Real World Data (RWD), understanding various modalities, vocabularies, and non-traditional RWD sources. - Contribute to ...

As an experienced Lead Data Scientist, you bring a minimum of 8 years of professional experience, with at least 6 years specifically in a data science role. Your expertise spans statistical modeling, machine learning, deep learning, and GenAI. Proficiency in Python is a must, along with hands-on experience in optimizing code for performance. Your strengths lie in data preprocessing, feature engineering, data visualization, hyperparameter tuning, and a solid understanding of database concepts, particularly when dealing with large datasets. You have a track record of deploying and scaling machine learning models in production environments, complemented by familiarity with machine learning oper...

Role You will be part of a cutting-edge team working on Large Language Models (LLMs), Machine Learning, Deep Learning, and Retrieval-Augmented Generation (RAG) pipelines. Youll help design, build, and evaluate AI systems that solve complex real-world problems at scale. Key Responsibilities Develop and optimize RAG pipelines: document chunking, embedding generation, vector storage, retrieval, reranking, and grounded generation with citations. Work on LLM-based applications: fine-tuning open-source models ( LLaMA , Mistral, etc.), building prompt strategies, and deploying inference services. Contribute to machine learning models (classification, regression, recommendation, anomaly detection) a...

Key Responsibilities Data Strategy & Leadership Own and advance the commercial data strategy, ensuring a single source of truth for reporting, analytics, and AI/ML initiatives. Provide strategic directions for data integration and management. Team Leadership & Mentorship Lead, mentor, and develop a team of Commercial Data Intelligence Analysts. Drive best practices in data modeling, pipeline development, and AI-ready data preparation. Data Engineering Oversight Oversee the design, implementation, and maintenance of scalable ETL/ELT pipelines using Microsoft-based tools (e.g., Data Factory, Synapse, Fabric pipelines). Ensure adoption of standardized data infrastructure, replacing non-standard...

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 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical...

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 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 s...

Job Description/Preferred Qualifications Required skills/Competencies Programming Languages Strong in Python, data structures, and algorithms. Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping. Machine Learning Frameworks Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM). Deep Learning Techniques Proficiency with PyTorch or TensorFlow/Keras Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms. Familiarity with optimization (Adam, SGD), dropout, batch norm. LLMs & RAG Hugging Face Transformers (tokenizers, embeddings, model fine-tuning). Vector databases (Milv...