862 Feature Engineering Jobs - Page 7

Overview The Data Scientist designs, develops, and deploys predictive models and advanced analytics solutions to drive business insights and operational improvements. This role collaborates closely with data engineers, architects, and business stakeholders to translate requirements into actionable models and supports integration of AI/ML into BI platforms. Responsibilities Model Development & Delivery Build and iterate models for churn prediction, network performance, and other business-critical use cases. Conduct feature engineering, model training, validation, and deployment. Collaboration & Integration Work with data engineers and architects to ensure data readiness and seamless model int...

About the Role As a Staff Software Engineer and Tech Lead Manager (TLM) on the Security Risk & Compliance Automation team, you will combine technical leadership with people management. Youll architect and deliver backend systems at scale that power Ubers enterprise GRC automation platform, while also growing and mentoring a team of engineers. This dual role is for hands-on leaders who thrive at the intersection of system design, mentorship, and cross-functional alignment. What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Design and Review Architecture : Lead the design of large-scale backend services for Ubers GRC automation platform; review and guide system de...

Job Description/Preferred Qualifications Role You will be part of a cutting-edge team working on Large Language Models (LLMs), Machine Learning, Deep Learning, and Retrieval-Augmented Generation (RAG) pipelines. Youll help design, build, and evaluate AI systems that solve complex real-world problems at scale. Key Responsibilities Develop and optimize RAG pipelines: document chunking, embedding generation, vector storage, retrieval, reranking, and grounded generation with citations. Work on LLM-based applications: fine-tuning open-source models (LLaMA, Mistral, etc.), building prompt strategies, and deploying inference services. Contribute to machine learning models (classification, regressio...

Role Overview: As a Python/PySpark Engineer in our data and analytics team, you will play a crucial role in developing scalable data pipelines, working with big-data technologies, and supporting machine learning workflows in production environments. Your expertise in AI/ML concepts will be highly valued as you collaborate with data scientists to prepare, transform, and operationalize data for ML models. Key Responsibilities: - Develop and optimize data pipelines using Python and PySpark. - Work with large-scale datasets in distributed computing environments. - Collaborate with data scientists to prepare, transform, and operationalize data for ML models. - Implement and maintain data quality,...

About Company Metayb is a fast-growing digital transformation company empowering organizations to thrive in the digital-first era. In just three years, we've built a team of 350+ experts focused on creating seamless customer experiences, boosting operational efficiency, and delivering actionable insights. Our core strengths include Digital Transformation, Data Science, SAP Implementation, Workflow Automation, Finance, and Supply Chain Services , with aspirations to expand into IoT, AI/ML, and Virtual Reality . By leveraging emerging technologies, Metayb aims to be a trusted global partner in delivering impactful, future-ready solutions. Description Lead the architecture, development, and opt...

Overview Overview? The Customer Experience and Engineering (CXP) organization drives Microsoft's internal AI transformation and sets the benchmark for enterprise-ready solutions. Our mission is to run and grow Microsoft's business by delivering secure, compliant, and performant platforms while leading operational transformation through Copilots and agents. We partner with Business Leaders to scale innovation, collaborate with BIC teams to shape enterprise-grade products, and serve as a reference for AI adoption across industries. Guided by principles of agility, data-driven decision-making, and deep integration with Microsoft technologies, we prioritize productization, co-development, and ex...

Role: Senior AI/ML Engineer Python, NLP/LLM, Generative AI Location: Chennai (Preferred)/ Indore/ Navi Mumbai Work Mode: Hybrid We is hiring a Senior AI/ML Engineer with 47 years of experience to build and deploy scalable AI, NLP, LLM and Generative-AI solutions. This role is ideal for someone who enjoys solving complex problems, working hands-on with Python and modern AI frameworks, and delivering high-impact products in a fast-moving environment. Key Responsibilities Build and deploy ML/NLP/LLM/Generative-AI models and solutions. Develop data pipelines, feature engineering workflows and training/validation processes. Implement end-to-end AI product components using Python, FastAPI, Docker,...

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 experience, ma...

Company Description About Datakrew Datakrew is revolutionizing EV fleet intelligence with cutting-edge IoT/AI solutions. Our flagship solution, OXRED Platform Suite, provides deep insights into vehicle fleet performance and diagnostics. Datakrew is backed by leading global investors like Greenwillow Capital, BEENEXT, 500 Global, AngelList, SEEDS (SG Growth Capital), XA Network, Cloud Capital, Lighthouse Canton, and others. We have an active customer footprint in 7 countries. Our goal is to serve one million EVs within the next 5 years, and as a company, touch a billion lives with technology. This is a Global position and we are looking for candidates outside India. Job Description We are loo...

We are hiring Machine Learning Engineer with strong Python &ML model-building skills to design,develop, &deploy end-to-end ML pipelines.The role includes data processing, model training,production integration, &ongoing model performance monitoring. Provident fund

About the Role: The Associate Director of Machine Learning Platforms at Myntra will spearhead the development and expansion of the company's state-of-the-art, end-to-end ML platform. The vision is to build an integrated platform that enables data scientists and ML engineers to efficiently manage the entire ML lifecycle, accelerating time-to-market and maintaining our leadership in fashion and technology. This role involves building and leading high-performing engineering teams in a dynamic, fast-paced environment. Ultimately, this leader will drive AI-powered growth and operational excellence across the organization. Key Responsibilities: Strategy & Leadership: Define and own the technical r...

As a Senior Data Scientist you will help build the next generation of AI/ML-enabled solutions that underpin our strategic vision of digitalizing industrial projects and operational risk. You will apply your expertise in machine learning, cloud platforms (especially Snowflake and Azure), agile delivery (using Azure DevOps), and software development practices, to deliver scalable, robust, production-ready systems across the globe. You will play a pivotal role in positioning our team as the central AI Hub for the P&A division consulting and co-planning with platform teams, defining MLOps and governance standards, and guiding complex AI/ML projects from ideation to production. Key Responsibiliti...

About the Role As an Engineering Manager on the FinTech Data & ML Systems team , you will: Lead a high-performing team of data engineers and platform specialists in designing, implementing, and scaling data and ML solutions that power analytics, decision-making, and automation across FinTech. Drive the architecture and delivery of robust data pipelines, feature stores, and data platforms that enable machine learning and advanced analytics use cases. Collaborate closely with product managers, data scientists, and ML engineers to define and deliver reliable data and model workflows that support critical FinTech applications. Provide technical leadership in data architecture, ETL design, model ...

Responsibilities: o Design, develop, and implement AI/ML models and algorithms. o Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. o Write clean, efficient, and well-documented code. o Collaborate with data engineers to ensure data quality and availability for model training and evaluation. o Work closely with senior team members to understand project requirements and contribute to technical solutions. o Troubleshoot and debug AI/ML models and applications. o Stay up-to-date with the latest advancements in AI/ML. o Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. o Develo...

Project description We are seeking a highly experienced Data Scientist with deep expertise in Python and advanced machine learning techniques. You need to have a strong background in statistical analysis, big data platforms, and cloud integration, and you will be responsible for designing and deploying scalable data science solutions. Responsibilities Develop and deploy machine learning, deep learning, and predictive models. Perform statistical analysis, data mining, and feature engineering on large datasets. Build and optimize data pipelines and ETL workflows. Collaborate with data engineers and business stakeholders to deliver actionable insights. Create compelling data visualizations usin...

About The Role Job Title:AI/ML Data Scientist Management Level:5 – Associate Director Location:Gurugram, Noida, Mumbai, Chennai Must have skills:Artificial Intelligence (AI), AI Agents, Cloud Technology Architecture, Cloud Data Architecture, Deep Learning, Data Engineering, Large Language Models (LLMs), Machine Learning Operations, Machine Learning Architecture Design, Machine Learning, Natural Language Processing (NLP) Job Summary :As the AI & Machine Learning Data Scientist, you will be a visionary leader at the heart of Accenture's internal transformation. Your primary mission is to partner with our Global IT (CIO) organization and senior leaders across corporate functions to build and de...

Role Overview: You should have a minimum of 7+ years of professional experience in business analysis, requirement gathering, and solution workflow design for AI/ML/Analytics projects. Proficiency in Python and SQL is required along with a strong understanding of ML libraries and applications such as Time series analysis, Neural Networks, SVMs, boosting methods, and implementation experience in Python. Experience with deep learning techniques is also necessary. Excellent communication skills are essential to effectively collaborate with business SMEs and UX teams. Intermediate knowledge of DevOps practices including CICD, Automation, Build Management, and Versioning is expected. Understanding...

As an AI/ML Engineer at Left Right Mind, you will be part of a dynamic team 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 - 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. We expect you to stay abreast of the latest advancements in GenAI, RAG, and LLM r...

As a GenAI Data Scientist at PwC US - Acceleration Center, your focus will be on leveraging data to drive insights and make informed business decisions through advanced analytics techniques. You will have the opportunity to optimize client operations and help them achieve strategic goals by utilizing your skills in data manipulation, visualization, and statistical modeling. **Key Responsibilities:** - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare d...

Job Title: Data Scientist Company: Macpro Business Services India Pvt. Ltd. Location: 501, 6th Floor, DSL Abacus IT Park, Uppal, Hyderabad, Telangana 500039 Work Mode: Onsite Experience: 48 Years Employment Type: Full-Time Job Description we are seeking a highly skilled Data Scientist with 4-8 years of hands-on experience in end-to-end machine learning model development, model tuning, and performance optimization. The ideal candidate will have strong expertise in hyper-parameter tuning, model refresh cycles, feature engineering, and model performance optimization across large-scale datasets stored in Azure Data Lake and processed using Databricks (PySpark). This is an offshore position, and ...

As a VP Data Science, you will play a critical role in the data-driven decision-making process and will have a deep impact on projects across multiple markets. You'll collaborate closely with senior product, business, and strategy leaders to build data science-first platforms, products, and communities. If you are passionate about using data to solve real-world problems, we would be thrilled to welcome you to our team! **Key Responsibilities:** - Develop and implement sophisticated statistical and machine learning algorithms, including regression, classification, recommendation, natural language processing, and computer vision models. - Work closely with Product and Business leaders to devel...

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 be leading strategic initiatives by applying your deep expertise in advanced algorithms and scientific rigor to solve high-impact business problems and guide AI-native product development. Your role will involve the following 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 (XGBoost/LightGBM), survival analysis, Bayesian hierarchical models, causal impact a...

As a Group Product Manager/Deputy General Manager at Tata Communications, you will play a pivotal role in leading the development of the AI-enabled Data Platform Cloud Services within the Vayu Cloud PaaS team. Your responsibilities will include: - Defining and owning the product vision, strategy, and roadmap for the AI-enabled data platform, covering various aspects such as connectors, ETL, streaming, data warehousing, orchestration, metadata, data quality, governance, and visualization. - Conducting market research and competitive analysis to identify trends, gaps, and opportunities in the data platform space. - Shaping pricing and packaging strategies aligned with customer value, usage pat...

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...