863 Feature Engineering Jobs - Page 8

Role Overview: As an Associate - Data Science 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 role will involve leveraging advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how compliance, conduct, and operational risks are managed across the organization. You will play a crucial role in designing, deploying, and managing AI/ML models for tasks such as anomaly detection, risk assessment, and compliance monitoring. Key Responsibilities: - Design, deploy, and manage AI/ML mode...

Title and Summary Senior Data EngineerMastercard OverviewMastercard is the global technology company behind the worlds fastest payments processing network We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless We ensure every employee can be a part of something bigger and change lives We believe as our company grows, so should you We believe in connecting everyone to endless, priceless possibilities Your Role: Create and maintain optimal data pipeline architecture Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal pr...

About Business line/Function : GM Data & AI Lab leverages the power of Machine Learning and Deep learning to drive innovation in various business lines. Our primary goal is to harness the potential of vast amounts of structured and unstructured data to improve our services and provide value. Today we are a team of around 40+ Data Scientists based in Paris, London, Frankfurt, Lisbon, New York, Singapore and Mumbai. Position Purpose Your work will center on designing and deploying AI solutions for time series forecasting, financial modeling, anomaly detection and other Quant related usecases. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on build...

About The Role 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...

Sr. Engineer / Lead Sr. Engineer, Data Analytics and ML Model Development General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet perfor...

Design and deploy AI/ML models for process optimisation and automation; apply computer vision for efficiency; build real-time monitoring & predictive maintenance systems; lead R&D in GenAI/IoT; develop data pipelines; track efficiency and cost gains Required Candidate profile AI/ML, deep learning, Python, SQL; exp in automation, or manufacturing data; data modelling, feature engineering, IoT/edge exposure; knowledge of process control & quality analytics. 1–3 yrs exp

As a Sr. Python Developer with a focus on AWS and AI at Cogent IBS, you will be responsible for developing, testing, and maintaining Python-based applications and tools for image processing, text, NLP, and analysis. You will design and implement machine learning models for various customer use cases. Your role involves collaborating with data scientists, analysts, and product teams to translate business requirements into scalable technical AI solutions. Additionally, you will optimize and deploy machine learning models into production environments while considering compliance, security, and scalability aspects. It is essential to utilize libraries and frameworks such as scikit-learn, TensorF...

As a Data Science Manager/Senior Manager at KPMG in India based in Gurgaon with 9-16 years of experience, you will have the opportunity to lead AI/ML initiatives, drive the GenAI strategy, architect scalable solutions, mentor teams, collaborate with stakeholders, and ensure responsible AI practices. **Key Responsibilities:** - Lead AI/ML projects from concept to production - Guide technical reviews and promote best practices - Translate business needs into data-driven solutions **Qualifications Required:** - 9+ years of experience in data science/software engineering - Proficiency in Python, SQL, Docker, and cloud platforms - Hands-on experience with ML algorithms, feature engineering, and m...

Role Overview: As an Associate - Data Science at J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science team, you will be a part of the team that is spearheading the development of innovative AI and ML solutions to enhance risk management and compliance processes. Your role will involve leveraging advanced analytics, AI, and Machine learning technologies, including Large Language Models (LLMs), to transform how compliance, conduct, and operational risks are managed across the organization. You will have the opportunity to play a crucial role in developing AI/ML solutions to enhance compliance and risk management, working with diverse datasets to improve risk management pro...

As an AI Developer at our company, you will play a crucial role in designing, developing, and implementing AI solutions to meet the needs of our clients. You will work closely with cross-functional teams to integrate cutting-edge AI models into our products and services, fostering innovation and achieving impactful results. **Key Responsibilities:** - Design and develop AI models and algorithms to address business challenges. - Implement machine learning and deep learning algorithms for various applications. - Collaborate with data scientists and engineers to preprocess data and construct datasets for model training. - Integrate AI models into software applications and platforms. - Optimize ...

Role Overview: At Visteon, the work you do is both relevant and recognized, not just by the organization, but by peers, industry-leading brands, and millions of drivers around the world. As a truly global technology leader in the mobility space, focused on building cross-functional and cross-cultural teams, you will be connected with people who help you grow. Whatever you do at Visteon is not just a job but a mission. Visteon, being a multi-billion-dollar leader of disruptive change in the industry, is shaping the future and enabling a cleaner environment amidst the mobility revolution. Key Responsibilities: - Facilitate Enterprise machine learning and artificial intelligence solutions using...

As a Senior Data Scientist at our company, you will play a crucial role in leading advanced analytics projects and delivering end-to-end data solutions. Your primary responsibility will be to transform complex datasets into actionable insights using robust statistical and machine learning models. You will collaborate closely with cross-functional teams to align data science initiatives with business objectives and deliver meaningful data-driven insights. **Key Responsibilities:** - **End-to-End Model Development:** - Design, implement, and maintain full-stack data science workflows including data ingestion, preprocessing, feature engineering, model training, validation, and deployment. - Ref...

As a Data Scientist, your role will involve designing and implementing workflows for Linear and Logistic Regression, as well as Ensemble Models such as Random Forest and Boosting using R/Python. You should have a strong grasp of Probability and Statistics, with the ability to apply concepts of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of unforeseen situations like pandemics is essential. Conducting Exploratory Data Analysis (EDA) on raw data and performing feature engineering when necessary will be part of your responsibilities. Key Responsibilities: - Demonstrating proficiency in Data Visuali...

As a Principal ML Engineer at Ema, you will play a crucial role in shaping AI / ML initiatives that empower employees in the enterprise to be more creative and productive. You will lead the technical direction of GenAI and agentic ML systems, architect scalable production pipelines, define multi-year ML roadmap, integrate cutting-edge ML methods, optimize trade-offs, champion engineering excellence, mentor senior engineers, collaborate cross-functionally, influence data strategy, and drive system scalability and performance. **Key Responsibilities:** - Lead the technical direction of GenAI and agentic ML systems powering enterprise-grade AI agents. - Architect, design, and implement scalable...

Role Overview: As an AI/ML Engineering Manager at Merkle, your primary responsibility will be to develop top-notch strategies and oversee all Insights and Analysis activities for assigned clients. You will also be leading and mentoring a team of AI engineers, ML engineers, and data scientists, fostering a culture of collaboration, innovation, and continuous learning. Key Responsibilities: - Lead and manage a team of 5-10 AI engineers, ML engineers, and data scientists, conducting performance reviews, providing mentorship, and supporting career development. - Design and develop AI models and algorithms from scratch, integrating AI solutions with existing business systems to enhance functional...

As a senior data scientist at UBS, you will play a pivotal 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 various stakeholders to translate reporting requirements into actionable tasks and implement 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 opportu...

As a Data Scientist with 4+ years of experience, your role will involve designing, developing, and deploying end-to-end ML and NLP solutions. You will be responsible for building RAG-based pipelines using vector stores and LLMs for real-world use cases, developing embedding pipelines using OpenAI, HuggingFace, SentenceTransformers, and more. Additionally, you will perform data cleaning, transformation, feature engineering, EDA, fine-tune foundational models, and apply few shot / in-context prompting techniques. Collaboration with Engineering and Product teams to translate business problems into AI solutions and contributing to MLOps workflows including model deployment, testing, and CI/CD wi...

Role Overview: You are an experienced Generative AI Developer with a strong background in Data Science, passionate about leveraging state-of-the-art Machine Learning techniques to solve complex problems in various domains. Your main focus is on designing and building advanced Generative AI concepts and models, with a particular emphasis on Natural Language Processing (NLP). You have hands-on experience with Generative Models such as GPT, BERT, Stable Diffusion, and similar architectures. Key Responsibilities: - Collaborate with cross-functional teams to integrate Generative AI models into various applications, ensuring alignment with business needs. - Work with large datasets, applying techn...

Role Overview: You will be joining Winbold, a startup focused on an AI-driven investment platform. As a Data Science and Machine Learning Engineer, you will be responsible for hands-on tasks such as feature engineering, model training, and building predictive models for real-time predictions and forecasts. You should have expertise in ML Packages like sklearn, xgboost, and timeseries models, along with experience in feature engineering, MLFlow for model experimentation, model visualization, and deploying models in Cloud and hosted environments at scale. Developers with AI-driven mindset are encouraged to apply. Immediate joining is required, and candidates with notice period should not apply...

Job Overview : The job requires understanding the business and framing the business requirement as a data analytics problem statement. The individual will be responsible for providing business insights and managing end-to-end project delivery. The job requires building relationships with the client and presenting work directly to clients. The individual should effectively collaborate with team members around problem structuring and use of analytics (tools and techniques) to carry out analysis. The individual will be responsible for project delivery and gathering client feedback. Key Responsibilities: Lead and manage analytics projects focused on banking/financial sectors. Marketing analytics...

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...

Location: Pune Experience: 38 years Role Overview: We are seeking a highly skilled AI/ML Developer to design, develop, and deploy machine learning models and AI-driven solutions. The ideal candidate will have strong expertise in modern ML frameworks, cloud platforms, and emerging technologies such as generative AI, LLMs, and MLOps. Key Responsibilities: Design and implement machine learning models for predictive analytics, NLP, computer vision, and recommendation systems. Develop and fine-tune Large Language Models (LLMs) and Generative AI applications. Build scalable ML pipelines using MLOps best practices (CI/CD for ML). Optimize models for performance, accuracy, and cost efficiency. Colla...

Job Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-e...

Position Purpose Your work will center on designing and deploying AI solutions for time series forecasting, financial modeling, anomaly detection and other Quant related usecases. We use AI to discover patterns, classify information, and predict likelihoods. Our team works on building, refining, testing, and deploying these models to support various business use cases, ultimately driving business value and innovation. As a Data Scientist on our team, you can expect to work on challenging projects, collaborate with stakeholders to identify business problems, and have the opportunity to learn and grow with our team. A typical day may involve working on model development, meeting with stakehold...

Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Machine Learning Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, your typical day will involve analyzing, designing, coding, and testing various components of application code for multiple clients. You will engage in maintenance and enhancement tasks, ensurin...