444 Feature Engineering Jobs - Page 6

Experience : 3.00 + years Salary : Confidential (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Zero to 1) (*Note: This is a requirement for one of Uplers client - Zero to 1) What do you need for this opportunity Must have skills required: Languages: Python 3.10+, LLM, rag, Classical ML: scikit-learn, Feature Engineering, LightGBM/XGBoost, MLOps, Model evaluation, Pandas/numpy, Recommendation System, Cloud Server (Google / AWS), SQL Zero to 1 is Looking for: Context for candidates RecSys v1: Embedding-based candidate gen from Milvus + ...

Experience : 3.00 + years Salary : Confidential (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Zero to 1) (*Note: This is a requirement for one of Uplers client - Zero to 1) What do you need for this opportunity Must have skills required: Languages: Python 3.10+, LLM, rag, Classical ML: scikit-learn, Feature Engineering, LightGBM/XGBoost, MLOps, Model evaluation, Pandas/numpy, Recommendation System, Cloud Server (Google / AWS), SQL Zero to 1 is Looking for: Context for candidates RecSys v1: Embedding-based candidate gen from Milvus + ...

Experience : 3.00 + years Salary : Confidential (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Zero to 1) (*Note: This is a requirement for one of Uplers client - Zero to 1) What do you need for this opportunity Must have skills required: Languages: Python 3.10+, LLM, rag, Classical ML: scikit-learn, Feature Engineering, LightGBM/XGBoost, MLOps, Model evaluation, Pandas/numpy, Recommendation System, Cloud Server (Google / AWS), SQL Zero to 1 is Looking for: Context for candidates RecSys v1: Embedding-based candidate gen from Milvus + ...

Job Description Job summary: J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as an Associate/AVP - Data Science, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLM...

As a GenAI Data Scientist at PwC, you will focus on leveraging data to drive insights and make informed business decisions through advanced analytics techniques. Your role will involve working on GenAI projects, developing machine learning models, and collaborating with various teams to identify high-impact opportunities. You will be responsible for designing, building, and iterating on GenAI solutions, processing structured and unstructured data, validating models, and deploying production workloads on leading cloud platforms. Additionally, you will communicate findings and insights through various mediums and stay updated with GenAI advancements. **Key Responsibilities:** - Collaborate wit...

Role Overview: You will be working as a Data Science Lead, responsible for leading a team of analysts and data scientists/engineers to deliver end-to-end solutions for pharmaceutical clients. Your primary focus will be on participating in client proposal discussions, providing thought leadership for technical solutions, and overseeing all phases of model development. Additionally, you will be expected to gain a deep understanding of statistical and machine learning methods, as well as keeping the team up to date on the latest trends in ML and AI. Key Responsibilities: - Lead a team to deliver end-to-end solutions for pharmaceutical clients - Participate in client proposal discussions and pro...

As a Senior Specialist - Software Development (Artificial Intelligence) at Accelya, your role will involve leading the design, development, and implementation of AI and machine learning solutions to address complex business challenges. You will work closely with cross-functional teams to deliver intelligent systems that enhance business operations and decision-making. Key Responsibilities: - Lead the development of AI-driven applications and platforms using machine learning, deep learning, and NLP techniques. - Design, train, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. - Implement advanced algorithms for supervised and unsupervis...

As a Senior Data Scientist, your role involves designing, developing, and deploying advanced AI/Data Science solutions with a focus on scalability and ethical AI. You will apply your expertise in machine learning frameworks and advanced techniques such as LLM fine-tuning, RAG implementations, and evaluation methods. Conducting applied research in areas like fraud detection, risk modeling, and automation will be part of your responsibilities. Additionally, you will perform data analysis and profiling on large datasets using SQL/KQL, collaborate with data engineers, and create Power BI dashboards aligned with business use cases. Your role will also require translating business needs into techn...

As a Data Scientist Engineer, you will be responsible for designing and implementing ML models to address complex business challenges. You will clean, preprocess, and analyze large datasets to extract meaningful insights and model features. Your role will involve training and fine-tuning ML models using techniques such as deep learning and ensemble methods. You will evaluate model performance, optimize for accuracy, efficiency, and scalability, and deploy ML models in production while monitoring their performance for reliability. Collaboration with data scientists, engineers, and stakeholders to integrate ML solutions, staying updated on ML/AI advancements, contributing to internal knowledge...

As an AI/ML Developer Intern at the company located in Marol, Andheri, Mumbai, you will be responsible for assisting in designing and implementing AI/ML models for real-world applications, particularly focusing on healthcare and related domains. Your key responsibilities will include working with popular Python libraries such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch to develop and test machine learning solutions. Additionally, you will analyze datasets to identify patterns, trends, and actionable insights that support data-driven decision-making. Qualifications required for this role include a completed degree in Computer Science, Data Science, or a related field. You should h...

As a Senior Data and Applied Scientist at Pattern, you will collaborate with the Data Science team to analyze and utilize data, implement machine learning models, and apply statistical techniques to address business challenges throughout the organization, with a primary focus on logistics and operations. **Key Responsibilities:** - Design, develop, and manage predictive machine learning models and simulations to enhance solutions across Pattern. - Share insights on potential model enhancements, data requirements, and prospects with relevant business units and developer teams. - Continuously enhance the performance of machine learning models. - Conduct research to incorporate new data sources...

As a Data Scientist in our team, you will be responsible for the following key tasks: - Collect, clean, and preprocess structured and unstructured datasets. - Design and implement machine learning and statistical models including classification, regression, clustering, recommendation, forecasting, etc. - Perform exploratory data analysis (EDA) and effectively communicate findings to stakeholders. - Collaborate closely with data engineers and product teams to develop reliable data pipelines and deploy models. - Create intuitive dashboards, reports, and visualizations tailored for both business and technical stakeholders. - Stay updated with the latest data science tools, frameworks, and indus...

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, apply your skills to live data problems, and advance your career in a fast-paced and collaborative environment. Key Responsibilities: - Design, train, and deploy ML models for applications in supply chain, logistics, finance, and operations. - Build ML models for forecasting, classification, clustering, and anomaly detection using real business data. - Work on the full ML lifecycle including data preparation, feature ...

Data Axle Inc. has been an industry leader in data, marketing solutions, sales, and research for over 50 years in the USA. Data Axle now has an established strategic global centre of excellence in Pune. This centre delivers mission-critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business and consumer databases. Data Axle India is recognized as a Great Place to Work! This prestigious designation is a testament to our collective efforts in fostering an exceptional workplace culture and creating an environment where every team member can thrive. As an Associate Data Scientist at Data Axle, you will be joinin...

As an experienced Data Scientist, your role will involve the following responsibilities: - Lead the development of predictive models from exploration to full-scale production deployment, taking ownership of the entire product lifecycle. - Build robust regression, time-series, and deep learning models to predict prices/values of financial assets, oil, apparel, and other commodities. - Continuously monitor and fine-tune models for accuracy, performance, and scalability using real-time data feedback for model optimization. - Collaborate with engineering teams to ensure successful deployment and monitoring of models in production environments as part of ML Ops & Deployment. - Work closely with p...

Role Overview: You will be responsible for inventing, implementing, and deploying state-of-the-art machine learning and/or specific domain industry algorithms and systems. Your role will involve building prototypes, exploring conceptually new solutions, and working collaboratively with science, engineering, and product teams to identify customer needs. You will create and implement solutions, promote innovation, and drive model implementations. Additionally, you will apply data science capabilities and research findings to scale and develop new intelligence around core products and services through applied research on behalf of customers. Your work will involve developing models, prototypes,...

Job description Some careers shine brighter than others If you're looking for a career that will help you stand out, join HSBC, and fulfil your potential Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions We are currently seeking an experienced professional to joi...

Job description Some careers shine brighter than others If you're looking for a career that will help you stand out, join HSBC, and fulfil your potential Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions We are currently seeking an experienced professional to joi...

Role Overview: You will be joining Material+ as a Lead Data Scientist, where your primary focus will be on Generative AI models, multi-agent system architecture, and data science techniques. Your expertise in Python and AI/ML libraries, along with strong knowledge in data preprocessing, feature engineering, and model evaluation will be crucial for this role. Key Responsibilities: - Utilize Generative AI models such as Azure OpenAI GPT and multi-agent frameworks like LangChain or AutoGen. - Demonstrate proficiency in Python and AI/ML libraries including TensorFlow, PyTorch, and Scikit-learn. - Implement Data Science techniques for data preprocessing, feature engineering, and model evaluation....

As an AI Engineer at our company, you will play a crucial role in designing, developing, and deploying AI models and algorithms to address complex challenges and enhance business outcomes. Your expertise in machine learning, deep learning, and data science, coupled with your proficiency in programming, will be instrumental in driving innovation and success. **Key Responsibilities:** - Design, develop, and implement AI models and algorithms to tackle real-world problems. - Collaborate with diverse teams to understand business requirements and translate them into technical solutions. - Conduct data analysis and preprocessing to ensure high-quality inputs for AI models. - Train, test, and valid...

As a Python Developer in this long-term contractual role based in Gurugram, Haryana, you will be responsible for the following: - Develop, optimize, and maintain Python-based applications. - Work with AI/ML libraries and tools (TensorFlow, PyTorch, Scikit-learn, etc.) for model development and deployment. - Implement data preprocessing, feature engineering, and ML model integration. - Collaborate with cross-functional teams to build AI-powered applications and solutions. - Develop RESTful APIs and backend services for AI/ML models. - Ensure code quality, scalability, and performance optimization. - Stay updated with the latest trends in AI/ML tools and Python frameworks. Qualifications requi...

As a Senior Technical Architect specializing in Machine Learning Solutions, you will play a crucial role in leading the end-to-end architecture of advanced ML-driven platforms within our enterprise. Your expertise in Machine Learning (ML), Artificial Intelligence (AI), and scalable ML system design will be instrumental in delivering impactful, production-grade AI solutions across the organization. **Key Responsibilities:** - Lead the architecture and design of enterprise-grade ML platforms, encompassing data pipelines, model training pipelines, model inference services, and monitoring frameworks. - Architect and optimize ML lifecycle management systems (MLOps) to facilitate scalable, reprodu...

As an experienced Salesforce AI Architect Manager with over 10 years of expertise, your role will involve architecting and leading AI-driven initiatives within the Salesforce platform. You will play a critical role in engaging with clients, providing technical leadership, and delivering scalable AI solutions. Here are the key responsibilities associated with this role: - Pre-Sales and RFPs: - Engage with clients to identify their AI and Salesforce needs and align business objectives with Salesforce Einstein AI capabilities. - Lead technical discussions during pre-sales engagements, showcasing Salesforce Einstein AI expertise, its benefits, and strategic value. - Develop and deliver presentat...

As a Machine Learning Engineer, your role involves collaborating with cross-functional teams to define ML problems and objectives. You will research, design, and implement machine learning algorithms and models such as supervised, unsupervised, deep learning, and reinforcement learning. Analyzing and preprocessing large-scale datasets for training and evaluation will be a key responsibility. You will also train, test, and optimize ML models for accuracy, scalability, and performance. Deploying ML models in production using cloud platforms and/or MLOps best practices is an essential part of your role. Monitoring and evaluating model performance over time to ensure reliability and robustness i...

Job Purpose To contribute to the design, development, and optimization of AI-driven search systems and machine learning models that deliver intelligent, scalable, and accurate search experiences across BFL businesses. The role supports the enterprise-wide AI capability for search, ranking, and personalization while working closely with business and technical teams Duties and Responsibilities Contribute to the development and optimization of enterprise-wide search systems and models. Design and implement algorithms to improve indexing, query relevance, and search accuracy. Support taxonomy, ontology, and metadata model creation for better search outcomes. Collaborate with business units (Loan...