863 Feature Engineering Jobs - Page 24

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...

As a Senior Python Developer with a focus on AWS and AI at Cogent IBS, you will be part of a digital revolution that leverages AI, machine learning, and cloud-native technologies to transform how organizations operate. Your role involves rapidly building, deploying, and scaling AI-driven solutions that have a measurable business impact. Key Responsibilities: - Develop, test, and maintain Python-based applications and tools for image processing, text, NLP, and analysis. - Design and implement machine learning models tailored to customer use cases. - Collaborate with data scientists, analysts, and product teams to translate business requirements into scalable technical AI solutions. - Optimize...

As a senior data scientist at UBS, you will play a crucial role in driving digital transformation by working on data science projects within the newly established Data and Analytics Team in Group Legal. Your responsibilities will include: - Collaborating with stakeholders to translate reporting requirements into actionable tasks and implementing product enhancements. - Designing, building, and deploying high-performance AI/ML/NLP models to meet business objectives. - Monitoring and optimizing model performance to ensure quality, stability, and scalability. - Cleaning, manipulating, and processing raw data into useful information suitable for business purposes. - Validating AI/ML opportunitie...

What You'll Do As a Data Scientist at BillCut, you'll sit at the intersection of credit, technology, and behavioural data, helping shape our financial products with cutting-edge analytics and AI. * Analyze transactional, behavioural, and credit bureau data to inform product and risk strategies. * Build and deploy credit decision models, risk scoring engines, and automated loan approval systems. * Develop fraud detection and credit risk models using real-time signals. * Drive experiments (A/B tests) and monitor model performance post-deployment. * Collaborate with product, engineering, and operations to bring scalable data solutions into production. * Work on ML/AI-powered mobile lending feat...

Requirements: Must have experience as a Data Scientist or transitioned from Data Engineer Proficient in AWS Expertise in ML Model Design & Development Strong Feature Engineering experience Good to Have: NLP, GraphQL / Graph ML, Generative AI Education: B.Tech / M.Tech in Computer Science, IT, or ECE Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Role Overview: As a Data Science Engineer at our company, you will play a crucial role in developing cutting-edge machine learning solutions to address complex challenges. Your responsibilities will focus on designing, implementing, and deploying machine learning models and algorithms. Collaboration with cross-functional teams is essential to identify AI/ML opportunities, create prototypes, and operationalize solutions. We are looking for someone with a solid background in machine learning algorithms, strong programming skills, and proficiency in handling large datasets. Key Responsibilities: - Research, design, and implement machine learning models and algorithms for solving business proble...

You will play a crucial role in building and validating machine learning models, along with handling tasks such as data cleaning, transformation, and feature engineering. Your responsibilities will also include conducting exploratory data analysis using Python or R, supporting model tuning, performance tracking, and documentation. Collaborating with the team to implement AI/ML solutions for business use cases will be a significant aspect of your work. Additionally, you will need to create clear reports and visualizations to effectively communicate your findings. - Assist in building and validating machine learning models - Perform data cleaning, transformation, and feature engineering - Cond...