7 Feature Engineering Jobs

Job Description Summary The Sr Analytics Engineer combines hands-on operations and maintenance expertise with data analytics to improve reliability, availability, efficiency, and safety across industrial assets. You will lead assigned workstreams to translate failure modes and maintenance strategies into actionable analytics using time-series data from historians/SCADA/CMMS/EAM systems. The role focuses on fixed and rotating equipment such as boilers, transformers, turbines, pumps, and compressors, applying FMEA, Root Cause Analysis (RCA), and condition-based maintenance (CBM) techniques. SmartSignal or similar product experience is highly preferred. Candidates must have 58 years of on-the-g...

Hiring: ML Engineer Experience :5 to 10 Years Location : Hyderabad We are looking for Machine Learning Engineers with hands-on experience in model development, training, evaluation, deployment, and MLOps . Key Skills: ML model development & evaluation Feature engineering Model training & optimization MLOps & deployment pipelines Python & ML frameworks Interested candidates, please share resumes roohija.m@tekskills.in #Hiring #MLEngineer #MachineLearningJobs #MLOps #AIJobs #TechHiring

As a Data Science Senior Analyst in this role, you will be required to apply your in-depth disciplinary knowledge to contribute to the development of new techniques and processes. Your responsibilities will include: - Conducting strategic data analysis to identify insights, implications, and make strategic recommendations - Developing data displays that clearly communicate complex analysis - Mining and analyzing data from various banking platforms to drive optimization and improve data quality - Building machine learning models (Random Forest, LightGBM, etc.) across multiple use cases - Performing exploratory data analysis to support hypotheses and applying different feature engineering and ...

Role Overview: You will be responsible for owning and driving data-driven solutions to optimize product performance and overall business outcomes by analyzing product, learner, and operational data. Your role will involve executing end-to-end analytics initiatives with high ownership, from problem scoping and data analysis to implementation, evaluation, and stakeholder adoption, ensuring alignment with organizational goals. You will analyze product and learner journeys to identify performance patterns, drop-offs, and gaps in system and user flows, translating findings into actionable analytical initiatives and product/process enhancements. Additionally, you will plan and conduct structured, ...

As a Credit Scoring Model Developer, you will play a crucial role in the team by developing and maintaining credit scoring models to assess the creditworthiness of loan applicants. Your responsibilities will include leveraging statistical techniques and machine learning algorithms to build accurate and robust models. Key Responsibilities: - Develop and maintain credit scoring models using statistical techniques and machine learning algorithms. - Perform data analysis and feature engineering to enhance model performance. - Validate and monitor the performance of credit scoring models. - Collaborate with other teams to integrate credit scoring models into loan origination systems. - Stay updat...

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 Clouds data services, implementing GenAI and AI/ML...

As an IT professional at our company, you will be responsible for assisting in the development and implementation of machine learning models and algorithms. Your main tasks will include writing clean, efficient, and reusable Python code for data processing, modeling, and deployment. Additionally, you will work on datasets by performing tasks such as data cleaning, preprocessing, feature engineering, and visualization. Key Responsibilities: - Assist in the development and implementation of machine learning models and algorithms. - Write clean, efficient, and reusable Python code for data processing, modeling, and deployment. - Work on datasets: data cleaning, preprocessing, feature engineerin...