863 Feature Engineering Jobs - Page 18

Role Overview: As a Principal Software Engineer at Instant Markets, a venture of Instant Systems Inc., you will have the opportunity to lead innovation in intelligent search systems by addressing lexical gaps, enhancing semantic text understanding, and overcoming data sparsity using Generative AI. You will be responsible for architecting and implementing semantic search and ranking systems, applying advanced NLP techniques, and collaborating with cross-functional teams to translate research into production-grade systems. Your work will involve driving innovations in recommendation systems and improving user satisfaction across products. Key Responsibilities: - Architect and implement semanti...

Role Overview: You will be a key member of the team, responsible for developing and implementing AI solutions, particularly focusing on generative AI projects and data analysis to enhance our platform and services. Your role will involve collaborating with cross functional teams, staying updated with the latest advancements in AI and analytics, and continuously monitoring and improving the performance of AI models. Key Responsibilities: - Develop and Implement AI Solutions: Design, develop, and deploy AI models and algorithms to solve business problems and enhance operational efficiency. - Generative AI Projects: Work on generative AI projects including natural language processing (NLP), com...

**Immediate Joiners only** Exp - 8 - 10 Years Mandatory Skills Artificial Intelligence, Natural Language Processing, python, data science Position: AI Engineer LLM & RAG Specialization Job Description: 8-10 years of professional experience in AI/ML engineering, with at least 4+ years in LLM development and deployment . Proven expertise in RAG architectures , vector databases , and embedding models . Strong proficiency in Python ; familiarity with Java, R, or other relevant languages is a plus. Experience with AI/ML frameworks ( PyTorch , TensorFlow , etc.) and relevant deployment tools. Hands-on experience with cloud-based AI platforms such as AWS SageMaker,AWS Q Business, AWS Bedrock or Azu...

Proficiency in programming languages such as Python. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Strong understanding of machine learning algorithms and statistical methods. Hands-on experience with data preprocessing, fine tuning, feature engineering, and model evaluation. Analytical Skills: Excellent problem-solving skills and the ability to analyze complex data sets. Develop and Implement AI Solutions: Design, develop, and deploy AI models and algorithms to solve business problems and improve operational efficiency. Generative AI Projects: Work on generative AI projects, including natural language processing (NLP), computer vision, and other related are...

We are looking for a Senior Manager-ML Ops to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelor's or master's degree in computer science, Engineering, or a related field. Atleast 10 years of experience including DevOps, machine learning operations and data engineering domain Proven experience in managing and leading technical teams. Strong understanding of MLOps practices, tools, and frameworks. Proficiency in data pipelines, data cleaning, and feature engineering is essential for preparing data...

About the Role We are seeking a Data Scientist who is passionate about turning data into actionable insights and deploying machine learning solutions into production. The ideal candidate will have strong foundations in statistics, machine learning, and data engineering , along with hands-on experience in model deployment (ML Ops) . Key Responsibilities Work with business stakeholders to identify opportunities for leveraging data to drive solutions. Build, train, and optimize machine learning models for real-world use cases (classification, regression, NLP, recommendation, etc.). Deploy ML models into production using ML Ops best practices (CI/CD pipelines, containerization, monitoring). Coll...

As a Python AI/ML Developer at the company, your main responsibilities will include: - Assisting in the development and implementation of machine learning models and algorithms. - Writing clean, efficient, and reusable Python code for data processing, modeling, and deployment. - Working on datasets by performing tasks such as data cleaning, preprocessing, feature engineering, and visualization. - Collaborating with senior data scientists and developers to build scalable ML solutions. - Conducting literature reviews and staying updated on the latest ML/AI research. - Contributing to model deployment and integration with APIs or web applications (basic knowledge is sufficient). The desired pro...

Role Overview: As the Director Engineering at Albertsons Companies Inc., you will be responsible for driving the execution, adoption, and integration of AI-driven solutions that optimize price and promotional investment decisions at scale. Your role will focus on building and deploying Explainable AI (XAI) solutions, developing Generative AI (Gen AI) models, and ensuring feature engineering and data preparation techniques align with real-world business needs. Your key responsibility will be to ensure that AI solutions are actionable, explainable, and embedded into enterprise decision-making to enhance price and promotional investment strategies. Key Responsibilities: - Develop and operationa...

Role Overview: As the Lead Data Scientist Healthcare Domain Specialist at RT Global Infosolutions Pvt Ltd, you will play a key leadership role in the data science team, defining strategies, leading projects, and collaborating with healthcare professionals, engineers, and product teams to deploy scalable AI solutions. Your primary focus will be on developing AI models for elderly fall risk assessment, analyzing healthcare-specific data, applying domain expertise in healthcare, collaborating with experts, managing data engineering tasks, evaluating and optimizing models, ensuring compliance with healthcare data regulations, staying updated with the latest research, managing the team, and stake...

Role Overview: PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey, with expert teams of Business Analysts across various locations. The firm provides Analytics and Business Solutions to a diverse clientele in the BioPharma sector, with expertise in Forecasting, Business Analytics, Competitive Intelligence, and more. They cater to clients in different therapeutic areas such as Oncology, Immuno-science, CNS, CV-Met, and Rare Diseases, across Primary Care, Specialty Care, and Hospital business units. Key Responsibilities: - Analyze different pharmaceutical/life sciences data sets including claims data, electronic medical records, patient level data,...

Practice Overview : Skill/Operating Group Technology Consulting Level Manager Location Gurgaon/Mumbai/ Bangalore Travel Percentage Expected Travel could be anywhere between 0-100% Why Technology Consulting The Technology Consulting business within Capability Network invents the future for clients by providing them with the right guidance, design thinking and innovative solutions for technological transformation. As technology rapidly evolves, it's more important than ever to have an innovation advisor who can create a new vision or put one into place"to solve the client's toughest business problems. Specialize in management or technology consulting to transform the worlds leading organizatio...

BlackStone eIT, a leading computer software company, is looking for a talented and experienced Senior AI & ML Engineer to join our innovative team. In this role, you will be responsible for developing and deploying advanced artificial intelligence (AI) and machine learning (ML) models to drive impactful solutions for our diverse range of projects. You will collaborate with data scientists, engineers, and product teams to design cutting-edge algorithms and leverage large datasets to extract valuable insights. Your work will be crucial in enhancing our products, improving user experience, and solving complex business challenges. This is an exciting opportunity to make a significant impact in t...

As a Machine Learning Engineer at Hubnex Labs in Gurugram, India, your primary role will be to lead the development and deployment of production-grade AI systems. You will be responsible for understanding business goals and translating them into ML-based solutions. Your key responsibilities will include: - Developing, analyzing, and comparing machine learning algorithms for various problem statements - Building robust validation strategies and designing appropriate preprocessing and feature engineering pipelines - Performing data exploration, visualization, and quality verification, including data cleaning and augmentation - Training models, tuning hyperparameters, and interpreting model per...

Role Overview: As a Lead Analytics Engineer at HH Digital, Data & Analytics (HHDDA), you will be an integral part of the Human Health transformation journey to establish the organization as the premier Data First commercial biopharma entity. Your primary responsibility will involve developing analytical data products to support data science and analytics use cases within the HHDDA Commercial Data Solutions team. Key Responsibilities: - Design and implement last-mile data products using cutting-edge technologies and software, along with data and DevOps engineering practices - Collaborate with data science and analytics teams to facilitate data modeling and feature engineering activities align...

Role Overview: As a Lead Data Scientist at J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team, you will be instrumental in developing innovative AI and ML solutions to enhance risk management and compliance processes. Your primary focus will be on leveraging advanced AI/ML techniques, Large Language Models (LLMs), and Agentic AI to design and deploy models for tasks such as anomaly detection, risk assessment, and compliance monitoring. By working with diverse datasets, you will contribute to improving risk management processes and ensuring regulatory compliance. Additionally, as part of a leading analytics community, you will have ample opportunities for skill dev...

Role Overview: As an AI Engineer at Seceon, you will be an integral part of the dynamic R&D team. Your primary responsibility will be to design, develop, and implement AI/ML models that enhance the cybersecurity products and services offered by the company. This role will provide you with the opportunity to tackle real-world problems in anomaly detection, behavioral analytics, and threat intelligence. Key Responsibilities: - Design and develop AI/ML models for threat detection, anomaly detection, and behavior analysis. - Collaborate with cybersecurity experts to define intelligent use cases for security automation. - Work with large datasets to train, validate, and deploy machine learning mo...

Overview We are seeking a Data scientist focusing on statistical modeling components, building classification, prediction, and optimization systems for the Claims Operations workflows . Responsibilities Develop classification and prediction models. Create pattern recognition systems for claims processing. Build optimization components for workflow efficiency. Implement evaluation metrics for model quality. Support user enablement and training. Assist with model documentation and knowledge transfer. Qualifications Develop classification and prediction models. Create pattern recognition systems for claims processing. Build optimization components for workflow efficiency. Implement evaluation m...

About the Role: 10 S&P Global Commodity Insights The Team: S&P Global is looking for a motivated and goal-oriented ML/GenAI Engineer to join our team. The ideal candidate will thrive in a dynamic work environment, collaborating with a wide range of stakeholders and functional teams. The Impact: As an ML Engineer / GenAI Engineer at S&P Global, you will apply your advanced analytical and engineering skills to transform our vast datasets into tangible business value. What's in it for you: You will be instrumental in the deployment of machine learning and generative AI solutions, collaborating on product development, and communicating your findings to drive business decisions. Responsibilities:...

Strong expertise in deploying machine learning models in real-world environments. Hands-on experience in Automated Valuation Models (AVM) , LangChain , and LLM-powered applications . Proficiency with Python-based data science tools like Pandas , NumPy , Scikit-learn , XGBoost , and LightGBM . Skilled in feature engineering , data intelligence extraction , and handling structured, semi-structured, and unstructured data . Experience integrating models into APIs and production environments.

Position at India Who We Are Insurity empowers insurance organizations to quickly capitalize on new opportunities by delivering the world's most configurable, cloud-native, easy-to-use, and intuitively analytical insurance software. Just as importantly, we empower our peopleproviding the tools, support, and opportunities they need to grow and succeed. We don't just make bold promiseswe deliver results. As the largest cloud-based software provider for the Property & Casualty market, Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 wholesale brokers in the MGA space. Behind that trust is a team that delivers exceptional value and deep industry expertise. While our techn...

As an Assistant Vice President (C12) in the TTS Analytics team at Citi, you will play a crucial role in leading a team of data scientists and analysts. Your responsibilities will include working on various data science projects throughout the year, focusing on business problems across the client life cycle such as acquisition, engagement, client experience, and retention within the TTS business. You will be expected to understand business needs, design, develop, and deploy machine learning models, and effectively communicate insights and recommendations to stakeholders. Key Responsibilities: - Lead a team of data scientists and analysts responsible for the full lifecycle of machine learning ...

As an AI Engineer at Sundew, your role will involve designing, building, and deploying AI-driven solutions, leveraging ML frameworks, programming expertise, and cloud platforms to drive innovation and deliver transformative value to global clients. Key Responsibilities: - Develop and deploy machine learning and deep learning models. - Collaborate with data engineers to prepare and optimize datasets. - Build scalable model training and inference pipelines. - Evaluate and fine-tune model performance. - Integrate AI solutions into products and internal systems. - Stay updated with the latest AI research and tools. Qualifications Required: - Proficiency in Python with ML libraries (TensorFlow, P...

About Us We're a small but ambitious startup revolutionizing the e-commerce landscape with cutting-edge AI solutions. Our mission is to empower sellers with the tools and insights they need to thrive in the competitive online marketplace. We're building a suite of AI-powered products and intelligent AI agents designed to streamline advertising, automate research, optimize listings, boost sales, and drive growth for businesses of all sizes. The Role: Senior Machine Learning Engineer (AI/ML & LLMs E-Commerce Ads) We're looking for a Senior Machine Learning Engineer to join our team and play a key role in developing the intelligence behind our AI-driven e-commerce platform. In this role, you'll...

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 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 tools and cloud AI services. Y...

Responsibilities: Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer Write high quality code to power experiments and build models Contributes to writing production model code Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market Set up environment needed to run experiments for all projects Set up distributed environments Engage with customers and help solve complex problems with the customer/partner Directly impact our customers ...