444 Feature Engineering Jobs - Page 7

Job Purpose To design, develop, and implement AI and machine learning models for search systems that power scalable and intelligent search experiences at BFL. The role is primarily technical, focusing on hands-on coding, prototyping, and deploying ML models to improve search accuracy, ranking, and personalization. Duties and Responsibilities Develop and implement algorithms to improve indexing, ranking, and query relevance. Work on NLP-driven search features including query expansion, synonym handling, and semantic search. Contribute to building taxonomy, metadata, and ontology models for search optimization. Write clean, efficient, and scalable code for ML/AI pipelines. Support deployment o...

Job Purpose To lead the Search AI capability by developing state-of-the-art search systems and machine learning models, enabling scalable, accurate, and intelligent search experiences across BFL businesses. The role contributes directly to enhancing customer experience, driving efficiency, and building AI-based horizontal capabilities for search, ranking, and personalization. Duties and Responsibilities Lead a team of search engineers to design, build, and optimize horizontal search systems. Develop and prototype algorithms to improve indexing, query relevance, and search performance. Build and manage taxonomy, thesaurus, ontology, and metadata models to improve search accuracy. Partner with...

Description We are seeking a skilled Data Scientist with a focus on Machine Learning to join our team in India. The ideal candidate will have 6-7 years of experience in developing and deploying machine learning models, with a strong background in data analysis and statistical methods. Responsibilities Develop and implement machine learning models to solve business problems. Analyze large datasets to identify trends and insights. Collaborate with cross-functional teams to define project requirements and deliver solutions. Design experiments and A/B tests to validate model performance. Continuously monitor and improve model performance and accuracy. Skills and Qualifications Proficiency in Pyt...

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Bui...

Job Summary We are seeking a highly experienced AI/ML Engineer with 1012 years of hands-on experience to lead the complete AI/ML pipelinefrom data ingestion and exploration to model deployment and monitoring. The ideal candidate will design and implement machine learning models, leveraging advanced Generative AI (GenAI) techniques to drive content generation, summarization, text classification, and intelligent automation. This role requires expertise in large language models (LLMs), including fine-tuning, optimization, and deployment of models such as GPT, BERT, and LLaMA using transfer learning and LoRA techniques. The candidate will also develop Retrieval-Augmented Generation (RAG) pipelin...

As a leading contributor in this role, you will provide guidance and mentorship to define, design, and deliver product quality improvements from the ideation stage to shipping to the customer. Your responsibilities will include: - Writing high-quality code to power experiments and build models - Contributing to writing production model code - Working closely with product management and engineering to deliver products that solve the needs of customers by building relevant, innovative results which strategically differentiate Oracle in the market - Setting up environments needed to run experiments for all projects - Setting up distributed environments - Engaging with customers to help solve co...

Role Overview: As an Associate Director Data Science at Firstsource Solutions Limited, your role will involve developing and optimizing advanced machine learning algorithms with a focus on natural language processing. You will collaborate with cross-functional teams to ensure that solutions meet industry-specific needs while upholding ethical standards. Key Responsibilities: - Data Analysis and Preprocessing: Analyze and preprocess diverse datasets related to the mortgage industry to ensure data quality and relevance for model training. - Model Development and Fine-Tuning: Research and implement state-of-the-art NLP models, particularly focusing on pre-training and instruction tuning for dom...

As an AI/ML Engineer at our company, you will be responsible for designing, developing, and optimizing traditional AI/statistical models and deep learning architectures such as RNN, LSTM, CNN, and Transformers. You will work with SQL, EDA, feature engineering, and data visualization to generate actionable insights. Additionally, you will build and fine-tune Generative AI, NLP, LLMs, Chatbots, Agentic AI, and MCP-based systems using frameworks like OpenAI, GPT, and beyond. Your role will also involve developing scalable backend solutions and model deployment pipelines using Django, FastAPI, and Flask. Furthermore, you will contribute to data engineering & ETL pipelines, including big data eco...

Role Overview: You should have a minimum of 5 years of experience in machine learning engineering and AI development. Your deep expertise should include machine learning algorithms such as supervised/unsupervised learning, deep learning, and reinforcement learning. Additionally, you should have solid experience in natural language processing (NLP) including language models, text generation, and sentiment analysis. Your proven understanding of generative AI concepts like text/image/audio synthesis and transformers will be crucial. Expertise in Agentic AI and experience with frameworks like Langgraph, ADK, Autogen are required. Key Responsibilities: - Design, develop, and optimize machine lear...

Job Description: You will be joining LeanQubit, a Certified Integrator of Ignition, dedicated to crafting custom Ignition-based solutions for manufacturing, energy, and utility industries. Based in Mumbai, LeanQubit invites potential partners to connect with them. Role Overview: As a Java Team Lead for a hybrid/remote role in Mumbai, you will lead a team of developers, oversee Java-based applications" design and implementation, and ensure best practices are followed. Your responsibilities will include managing microservices architecture, applying design patterns, and driving the software development lifecycle. Key Responsibilities: - Lead the design, development, and deployment of complex so...

As an Associate - Data Science at J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function, you will be a key contributor in developing innovative AI/ML solutions to enhance risk management and compliance processes. Your role will involve leveraging advanced AI/ML techniques, including Large Language Models (LLMs) and Agentic AI, to develop and deploy models for tasks such as anomaly detection, risk assessment, and compliance monitoring. By working with diverse datasets, you will play a vital role in improving risk management processes and ensuring regulatory compliance. Additionally, being part of a leading analytics community will provide you with opportunities fo...

Job Description Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products a...

Role Overview: You will be responsible for designing and implementing scalable data systems focusing on Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI. Your role will involve collaborating with data scientists, engineers, and business stakeholders to deliver innovative solutions aligned with enterprise objectives. Key Responsibilities: - Design and implement enterprise-grade data architectures. - Lead initiatives related to data modeling, governance, metadata management, data lineage, and master data management. - Develop scalable data solutions to facilitate real-time inference and autonomous agent systems. - Architect and deploy end-to-end pipelines to support AI/ML wo...

As a participant in the 4 to 6-month paid internship at Mason Interactive starting in Fall 2025, you will have the opportunity to lead a groundbreaking ML/AI integration project aimed at revolutionizing the utilization of marketing data. Your role will involve developing predictive models, creating automated insights, and implementing AI-driven optimization strategies based on authentic client datasets. - Building ML models to forecast campaign performance - Optimizing marketing strategies - Constructing automated data pipelines that merge various marketing data sources - Designing interactive dashboards to visually represent ML insights for stakeholders - Researching state-of-the-art AI met...

As a Senior Data Scientist at AuxoAI, you will play a crucial role in leading strategic initiatives by applying advanced algorithms and scientific rigor to solve high-impact business problems and guide AI-native product development. Your technical depth, curiosity, and discipline will be key as you mentor others and translate complexity into clarity. **Responsibilities:** - Lead the design and development of algorithms across ML, causal inference, and AI problem spaces - Conduct exploratory data analysis, feature engineering, and statistical modeling with an emphasis on interpretability and reproducibility - Benchmark and optimize models using advanced algorithms such as gradient boosting (X...

Job Description Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products a...

We are looking for a talented and passionate AI Engineer to join our team. The AI Engineer will be responsible for designing, developing, and deploying AI models and algorithms to solve complex problems and drive business value. The ideal candidate will have a strong background in machine learning, deep learning, and data science, along with excellent programming skills. Responsibilities Design, develop, and implement AI models and algorithms to solve real-world problems. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct data analysis and preprocessing to ensure high-quality input for AI models. Train, test, and v...

Role Overview: You will be part of a dynamic team at Left Right Mind, working on cutting-edge GenAI solutions and deploying large language models (LLMs) for real-world applications. Your primary responsibilities will include developing and deploying AI/ML models to address business challenges, optimizing LLMs for specific domains, and building end-to-end ML pipelines encompassing data preprocessing, training, and evaluation. Additionally, you will work with both structured and unstructured data to extract valuable insights and collaborate closely with engineers to bring models into production effectively. Key Responsibilities: - Develop and deploy AI/ML models to address business challenges ...

Role Overview: You will be responsible for developing machine learning models by designing, building, and evaluating both supervised and unsupervised models like regression, classification, clustering, and recommendation systems. This includes performing feature engineering, model tuning, and validation through cross-validation and various performance metrics. Your duties will also involve preparing and analyzing data by cleaning, preprocessing, and transforming large datasets sourced from different channels. You will conduct exploratory data analysis (EDA) to reveal patterns and gain insights from the data. In addition, you will deploy machine learning models into production using tools lik...

As a GenAI Data Scientist at PwC, your role involves developing and implementing machine learning models and algorithms for GenAI projects. You will collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Your responsibilities will include data cleaning, preprocessing, and feature engineering to prepare data for analysis. Additionally, you will validate model performance, develop production-ready machine learning applications, build chatbots, and stay updated with the latest advancements in GenAI technologies. **Key Responsibilities:** - Collaborate with cross-functional teams to understand business requirements ...

As a Business Analyst with a minimum of 7+ years of professional experience, you will play a crucial role in business analysis, requirement gathering, and solution workflow design for AI/ML/Analytics projects. Your programming skills should include proficiency in Python and SQL. You must also possess a strong understanding of ML libraries and applications such as Time series analysis, Neural Networks, SVMs, boosting methods, with implementation experience in Python. Experience with deep learning techniques is required. Your excellent communication skills will be essential to collaborate effectively with business SMEs and UX teams. You should also have intermediate knowledge of DevOps practic...

As a passionate individual excited by the potential of Real-World Data (RWD) and AI, you have the opportunity to join the data42 team at Novartis and contribute to the discovery of groundbreaking medical insights. At Novartis, the data42 platform provides access to high-quality preclinical and clinical data, along with RWD, enabling the development of advanced AI/ML models and health insights by a global team of data scientists and engineers. **Role Overview:** As an RWD SME / RWE Execution Data Scientist at Novartis, your focus will be on executing innovative methodologies and AI models to mine RWD on the data42 platform. You will play a crucial role in understanding patient populations, bi...

As an experienced Lead Data Scientist with a minimum of 8 years of professional experience, including at least 6 years in a data science role, your expertise lies in statistical modeling, machine learning, deep learning, and GenAI. Python proficiency is a must, and you should have hands-on experience in optimizing code for performance. You excel in data preprocessing, feature engineering, data visualization, hyperparameter tuning, and have a solid understanding of database concepts, especially when working with large datasets. Experience in deploying and scaling machine learning models in a production environment, along with familiarity with machine learning operations (MLOps) and related to...

Job Description: AI Intern Location: Remote Employment Type: Internship (Full-Time) Duration: 6 Months Pre-Placement Offer (PPO): Based on performance About The Role We are looking for a highly motivated AI Intern passionate about Artificial Intelligence and eager to work on live, real-world projects. During this internship, you will gain hands-on experience in AI development, including machine learning, deep learning, NLP, computer vision, and automation frameworks. You will work closely with experienced mentors in a fast-paced environment that encourages learning, innovation, and growth. All projects you will contribute to are live business initiatives with real impact, not simulated or ca...

As an AI/ML Engineering Manager at Merkle in Bengaluru, your role is to develop best-in-class strategies and manage all Insights and Analysis activities for assigned clients. You will lead a team of 5-10 AI engineers, ML engineers, and data scientists, providing mentorship, conducting performance reviews, and fostering a collaborative culture focused on innovation and continuous learning. Key Responsibilities: - Lead and manage a team of 5-10 AI engineers, ML engineers, and data scientists - Conduct performance reviews, provide mentoring, and support career development - Foster a collaborative culture focused on innovation and continuous learning - Manage team workload distribution and resou...