863 Feature Engineering Jobs - Page 20

You will play a vital role in a dynamic team as an AI/ML Developer, responsible for crafting, implementing, and launching machine learning and AI solutions to foster innovation and address real-world challenges. This exciting position offers you the chance to engage with state-of-the-art technology, test diverse models, and infuse intelligence into various products. - Design, develop, and deploy machine learning models and AI algorithms for applications like NLP, CV, and predictive analytics. - Collaborate with cross-functional teams comprising data engineers, software developers, and product managers. - Conduct data preprocessing, feature engineering, and model optimization. - Integrate ML ...

As a Data Scientist Project Trainer at our company in Hyderabad, you will play a crucial role in designing, developing, and delivering real-world data science projects while providing training and mentorship to aspiring data scientists. Your responsibilities will include: - Designing and developing real-time data science projects covering all phases of the data science lifecycle. - Executing projects from data collection to model deployment with proper documentation. - Ensuring all projects include complete executable files and datasets. You will also be responsible for: - Delivering hands-on training sessions on data science concepts, tools, and technologies. - Guiding students/professional...

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 7.5 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...

Job Description . Proficient in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.). . Strong understanding of ML algorithms (regression, classification, clustering, NLP) . Experience with deep learning frameworks (TensorFlow, Keras, or PyTorch). . Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI is a plus. . Experience with cloud platforms such as AWS, Azure, or GCP. . Solid knowledge of data processing, feature engineering, and model tuning. . Exposure to deploying models in production using REST APIs or containerized environments (Docker, Kubernetes). Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job li...

Job Description: As a web developer at this company, your role will involve developing and maintaining web applications using Python, Django, and Flask. You will be responsible for writing clean, efficient, and reusable code while also designing and implementing RESTful APIs. Additionally, you will need to assess whether a given problem can be addressed using advanced data analytics and/or various machine learning techniques. You will also work on ideas for data collection, clean and structure the data by applying feature-engineering techniques, and train models for designing, developing, and implementing POCs. Key Responsibilities: - Develop and maintain web applications using Python, Djang...

As a Data Scientist, your role involves working closely with business stakeholders and cross-functional Subject Matter Experts (SMEs) to gain a deep understanding of the business context and key questions. You will be responsible for creating Proof of Concepts (POCs) and Minimum Viable Products (MVPs) and guiding them through production deployment and operationalization. Additionally, you will play a key role in influencing the machine learning strategy for Digital programs and projects. Your responsibilities will include: - Making solution recommendations that balance speed to market and analytical soundness effectively - Exploring design options to enhance efficiency and impact, and develo...

As an intern, your day-to-day responsibilities will include: - Researching, identifying, and understanding business requirements to identify opportunities for applying predictive modeling and machine learning techniques - Collaborating with cross-functional teams, including data scientists, software engineers, and domain experts, to define project objectives and requirements - Designing and implementing predictive modeling and machine learning solutions, including data preprocessing, feature engineering, and model selection - Developing and deploying predictive software applications into production, leveraging Python (or similar scripting languages) for efficient development - Demonstrating ...

In this role as the founding ML lead at the company, you will be responsible for designing and deploying the core recommendation and personalization systems for a next-generation matchmaking platform. Your role will involve full ownership of the lifecycle, from ideation to production, of scalable, real-time ranking infrastructure that transforms sparse and dynamic user behavior into deeply personalized match suggestions. Key Responsibilities: - Build and scale matchmaking, recommendation, ranking, and personalization systems from scratch - Design a real-time adaptive matchmaking engine that evolves with user interactions and multi-modal signals - Develop algorithms for curated, personalized ...

As an Azure AI Engineer at Fulcrum Digital, you will play a crucial role in designing, building, and deploying intelligent applications and solutions using Microsoft Azure AI services. Your primary focus will be on utilizing Azure's AI and Machine Learning capabilities to solve real-world problems. **Key Responsibilities:** - Designing and developing AI solutions by utilizing Azure Cognitive Services, Azure Machine Learning, Azure OpenAI, and other Azure-based tools. - Implementing and deploying machine learning models, NLP models, and computer vision solutions in a scalable and secure Azure environment. - Collaborating with data scientists, software developers, and DevOps teams to seamlessl...

Role Overview: As an Experienced Data Scientist at the company, you will be focused on developing and implementing Generative AI solutions to tackle critical business challenges and discover new opportunities. Your expertise in data science, machine learning, and Generative AI techniques will be vital in driving impactful projects from inception to implementation. Key Responsibilities: - Data Handling & Preparation: - Work with diverse and large-scale datasets. - Perform data cleaning, preprocessing, and feature engineering. - Create synthetic datasets for training and evaluating Generative AI models. - Maintain data quality and integrity throughout the model development process. - Model Opt...

As an ML Engineer at the company, your role will involve developing, deploying, and maintaining machine learning models to enhance the SaaS platform. You will need a combination of machine learning expertise, software engineering skills, and a solid understanding of SaaS architecture. **Key Responsibilities:** - Develop and implement machine learning models for SaaS product features. - Integrate ML models into existing SaaS infrastructure. - Monitor and maintain deployed ML models for performance and reliability. - Collaborate with product managers and software engineers to implement ML-driven features. - Conduct data analysis and feature engineering to enhance model accuracy. - Stay updated...

Minimum Years of Experience: 10+ Years Key Responsibilities & Required Qualifications PhD in Computer Science, Statistics, Applied Mathematics, Data Science, AI, or a related field. Proven experience applying ML, deep learning, and statistical techniques to real-world problems. Strong programming skills in Python , R , or similar languages, with expertise in TensorFlow , PyTorch , Scikit-learn , etc. Proficiency in SQL and experience with large-scale data platforms (Hadoop, Spark, etc.). Strong background in mathematics, probability, linear algebra, and optimization. Experience in research publication or open-source contribution (preferred). Excellent communication skills to explain technica...

As an AI/ML Engineer at our company, you will be responsible for designing, developing, and deploying AI/ML models for real-world applications. Your role will involve working on Generative AI models and frameworks to create innovative AI-driven solutions. Additionally, you will implement and optimize fundamental algorithms such as sorting, searching, and tree-based operations. Key Responsibilities: - Develop and maintain scalable data pipelines and model deployment workflows. - Utilize Cloud platforms (AWS, Azure, or GCP) for model training, deployment, and monitoring. - Work with structured and unstructured data for feature engineering and predictive modeling. - Ensure high-quality code and...

Role Overview: You will be responsible for extracting, cleaning, and analyzing large datasets to identify patterns and trends. Additionally, you will develop and maintain dashboards and reports to monitor business performance. Working with cross-functional teams to improve data accuracy and accessibility will be a key aspect of your role. Conducting deep-dive analysis on customer behavior, transactions, and engagement to enhance retention and acquisition strategies will also be part of your responsibilities. Identifying potential risks, anomalies, and opportunities for business growth using data will be crucial in this role. Key Responsibilities: - Extract, clean, and analyze large datasets ...

In the role of Machine Learning Engineer at Tally, you will be part of the AI team working on developing and optimizing complex machine learning systems. Your responsibilities will include integrating large language models (LLMs) into AI-driven solutions, ensuring their performance and scalability. Collaborating with different teams, you will lead the development of machine learning models and provide technical guidance to junior engineers. Your contributions will play a key role in advancing technology solutions for global prosperity. Key Responsibilities: - Lead the development of machine learning models, focusing on integrating advanced models like LLMs and optimizing them for performance...

As a Data Scientist in the real estate industry, your role involves collecting large amounts of data and utilizing your analytical, statistical, and programming skills to extract valuable insights and develop solutions. By analyzing trends and leveraging data sets, you will contribute to making informed decisions that drive the organization's growth and competitiveness. Key Responsibilities: - Analyze large datasets to identify trends, patterns, and correlations relevant to the real estate sector. - Develop predictive models using statistical techniques and machine learning algorithms to forecast market trends, property prices, demand-supply dynamics, and other key indicators. - Engineer fea...

As a Data Scientist at Setu, you will play a crucial role in revolutionizing the fintech landscape by leveraging Data Science to understand and cater to the diverse financial needs of 1.4 billion people in India. You will have the opportunity to work on critical, scalable, and high-value use cases, contributing to the future of fintech. Your work will involve exploring innovative solutions, pushing boundaries, and making a tangible difference in the industry. Key Responsibilities: - Demonstrate passion for Setu's mission and vision, showcasing dedication, perseverance, and high ownership. - Create value for customers and stakeholders through the delivery of high-quality outcomes consistently...

As a Data Analytics professional in Technical Project Management at ZF Group in India, your role involves creating, deploying, and operating Data Analyst Solutions within the Advanced Braking Systems Teams for Commercial Vehicles in Chennai. You will be pivotal in developing data-driven services to enhance technical project management processes, collaborating with cross-functional agile product teams, and utilizing various data tools for analysis and visualization. Key Responsibilities: - Create, deploy, and operate Data Analyst Solutions to support technical Project Management - Develop data-driven services to improve Planning, Coordination, and reporting of technical projects - Act as a ke...

About Us We're an AI-first consultancy reimagining how organisations work. Our mission is to make Artificial Intelligence practical, measurable, and transformative helping businesses redesign their processes, eliminate silos, and unlock efficiency across operations. We work with clients in construction, manufacturing, and professional services, driving AI-led Business Process Reengineering (BPR) and Industry 4.0 transformations. We combine strategic consulting with deep technical execution and we're now looking for an engineer who can own that bridge completely. About the Role We're hiring a MidSenior AI Engineer who can take full end-to-end ownership from idea to production-ready product. Y...

Role: Senior Data Scientist What you'll do for us: ? Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks ? Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc. ? Use latest advancements in AI/ML to solve business problems ? Examine problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons ? Application of common business metrics (Forecast Accuracy, Bias, MAPE) a...

As a Lead Data Scientist at Cognitio Analytics, you will play a crucial role in driving business outcomes through the power of data analytics and insights. Your contributions will be key in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. You will lead and mentor a team of data scientists, fostering an innovative environment for collaboration and learning. Your expertise in programming languages such as Python and R, along with proficiency in data manipulation, analysis, and visualization libraries, will be essential for guiding strategic initiatives. Deep understanding of machine learning algorithms, model evaluation...

About the Organization : IndusInd Bank is a universal Bank with a widespread banking footprint with over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches across the country. Bank is currently in its fifth planning cycle and is on a mission to attain scale with sustainability at its core and with a specific focus on leapfrogging digital banking capabilities. Accordingly, the digital team at IndusInd Bank is on a journey to create differentiated transformative customer experience in financial services. The team's charter to redefine banking experience for clients making is much simpler, intelligent, and personalized. The data science team(digital portfolio, platfor...

Vice President, Model Risk Management At BNY, our culture allows us to run our company better and enables employees growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and ...

Role Overview: You will be responsible for analyzing, preprocessing, and cleaning structured and unstructured datasets to support AI/ML initiatives. Additionally, you will assist in building, training, and evaluating machine learning models for predictive and prescriptive analytics. It will be your duty to interpret AI/ML model results and communicate findings through visualizations and reports. You will collaborate with cross-functional teams to identify opportunities for AI/ML applications and define project requirements. Conducting exploratory data analysis (EDA) to uncover trends, patterns, and anomalies will also be part of your role. Moreover, you will support the deployment, monitorin...

As an ML Engineer at HolboxAI, you will be responsible for designing, developing, and implementing Machine Learning models, including Deep Learning and Natural Language Processing. Key Responsibilities: - Working with large datasets to perform data cleaning, preprocessing, feature engineering, and analysis. - Developing and deploying AI/ML models on Cloud platforms. - Experimenting with and implementing Generative AI models and techniques for various applications. - Contributing to the development of Agentic AI systems and workflows. - Evaluating the performance of AI/ML models and identifying areas for improvement. - Collaborating with Data Engineers to build and maintain data pipelines for...