1577 Data Scientist Jobs - Page 16

Job Description Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications. 1. Applies scientific methods to analyse and solve software engineering problems. 2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance. 3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers. 4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities. 5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Job Description - Grade Specific Is highly respected, experienced and trusted. Masters all phases of the software development lifecycle and applies innovation and industrialization. Shows a clear dedication and commitment to business objectives and responsibilities and to the group as a whole. Operates with no supervision in highly complex environments and takes responsibility for a substantial aspect of Capgemini’s activity. Is able to manage difficult and complex situations calmly and professionally. Considers ‘the bigger picture’ when making decisions and demonstrates a clear understanding of commercial and negotiating principles in less-easy situations. Focuses on developing long term partnerships with clients. Demonstrates leadership that balances business, technical and people objectives. Plays a significant part in the recruitment and development of people. Skills (competencies) Verbal Communication

Roles and Responsibility Develop and deploy scalable data pipelines using AI/ML techniques. Collaborate with cross-functional teams to identify business problems and develop solutions. Design and implement predictive models to drive business growth. Work with large datasets to extract insights and trends. Develop and maintain technical documentation of data models and algorithms. Stay updated with industry trends and advancements in AI/ML. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with AI/ML frameworks such as TensorFlow or PyTorch. Strong understanding of statistical concepts and machine learning algorithms. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment. Strong communication and interpersonal skills. Minimum 3 years of experience in a related field.

5 to 7 years of experience in Data Science or Machine Learning roles Proven ability to work on end-to-end ML projectsfrom research to production Conduct in-depth machine learning research and stay updated with state-of-the-art advancements Read, interpret, and implement research papers, especially in the Generative AI domain

Job Title: Data Scientist – Real Estate Analytics Location: Yelahanka, Bangalore | Full-Time | On-Site About Us: Dharmic Homez is a fast-growing luxury real estate startup building ultra-premium villas in Bangalore. We’re seeking a Data Scientist to bring efficiency, insight, and intelligence across our operations, sales, and market strategy. Key Responsibilities: Build predictive models for lead conversion, pricing, ROI, and demand forecasting. Analyze sales, CRM, marketing, and customer behavior data . Develop dashboards using Power BI / Tableau / Google Data Studio . Perform geospatial analysis using GIS tools & Google Maps API. Clean, transform, and manage large datasets using SQL, Python (Pandas, NumPy) . Deploy machine learning algorithms (regression, classification, clustering). Conduct competitive benchmarking via web scraping or APIs. Collaborate cross-functionally with marketing, sales, and leadership teams. Requirements: 3+ years experience in data science or analytics. Proficient in Python, SQL, scikit-learn, pandas, matplotlib, seaborn . Strong in statistics, data wrangling, data visualization, ML models . Experience with real estate data or customer analytics preferred. Knowledge of APIs, ETL, and cloud tools (AWS/GCP) is a plus. Apply at [email protected] with subject line: Data Scientist – Real Estate Job Type: Full-time Pay: ₹500,000.00 - ₹850,000.00 per year Schedule: Day shift Ability to commute/relocate: Yelahanka Satellite Town, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you have forecasting experience in real estate? Experience: Data science: 2 years (Preferred) Location: Yelahanka Satellite Town, Bengaluru, Karnataka (Preferred) Work Location: In person

We are looking for a Data Scientist to help us gain useful insight out of raw data. Data Scientist responsibilities include working with the data science team, planning projects and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you. Your ultimate goal will be to help improve our products and business decisions by making the most out of our data. Key Responsibilities ● Responsible for overseeing the data scientists team and data specialists ● Teach, lead, and counsel colleagues on new techniques or solutions ● Collaborate with data and software engineers to enable deployment of sciences and technologies that will scale across the company’s ecosystem ● Responsible for the conception, planning, and prioritizing of data projects ● Responsible for building analytic systems and predictive models as well as experimenting with new models and techniques ● Ensure that data projects align with organizational goals Minimum Qualification ● Master's degree in Computer Science, Operations Research, Econometrics, Statistics or related technical field ● 3+ years of experience solving analytical problems using quantitative approaches ● Experience communicating quantitative analysis results ● Knowledge with relational databases and SQL ● Development experience in any scripting language (PHP, Python, Perl, etc.) ● Knowledge of statistics (e.g., hypothesis testing, regressions) ● Experience manipulating data sets through statistical software (ex. R, SAS) or other methods Technical Skills - Must have – ● Programming – Python (Preferred) / R ● ML Models – i. Regression – Linear, Logistic, Multinomial, Mixed effect ● Classification – Bagging & Boosting (Random Forest), Decision tree, SVM ● Clustering – K-Means, hierarchical, DB-Scan ● Time series – ARIMA, SARIMA, ARIMAX, Holt-Winters, Multi TS (VAR), UCM ● Neural Networks (Deep learning), Naive Bayes ● Excel and SQL ● Dimensionality Reduction – PCA, SVD etc. ● Optimization Techniques – Linear programming, Gradient Descent, Genetic Algorithm ● Cloud – Understanding of Azure / AWS offerings, Setting up ML pipeline of cloud Good to have – ● Visualization – Tableau / Power BI / Looker / QlikView ● Data management – HDFS, Spark, Advanced Excel ● Agile Tools – Azure DevOps, JIRA ● Pyspark ● Big Data/Hive Database ● IDE: Pycharm Show more Show less

About Company Our client is a trusted global innovator of IT and business services. We help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe Job Title: Data Scientist Location: Bangalore Experience: 5 to 7+ yrs Job Type : Contract to hire Notice Period:- Immediate joiner Job Summary: We are looking for a versatile and innovative Data Scientist with experience in Azure Cloud, .NET, ReactJS, and Python (LangChain & FastAPI) to join our cross-functional team. This role blends data science expertise with full-stack development and cloud deployment, enabling intelligent solutions that scale. ________________________________________ Key Responsibilities: • Design and implement machine learning models and NLP pipelines using Python, LangChain, and FastAPI. • Develop and deploy data-driven applications on Microsoft Azure, leveraging services like Azure ML, Azure Functions, and Azure Data Lake. • Collaborate with backend developers using .NET and frontend developers using ReactJS to integrate AI models into scalable web applications. • Build APIs and microservices to serve ML models and data insights. • Perform data wrangling, feature engineering, and model evaluation. • Create dashboards and visualizations to communicate insights to stakeholders. • Ensure security, scalability, and performance of deployed solutions in the Azure environment. ________________________________________ Required Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. • Strong experience with Python, especially LangChain, FastAPI, and data science libraries (pandas, scikit-learn, etc.). • Proficiency in .NET (C#) for backend development. • Experience with ReactJS for building interactive UIs. • Hands-on experience with Azure Cloud Services (e.g., Azure ML, Azure Functions, Azure DevOps). • Solid understanding of RESTful APIs, microservices, and CI/CD pipelines. • Strong problem-solving and communication skills. ________________________________________ Preferred Qualifications: • Experience with LLMs, vector databases, and prompt engineering. • Familiarity with containerization (Docker, Kubernetes). • Knowledge of MLOps practices and tools. • Exposure to Agile/Scrum methodologies. Qualifications Bachelor's degree in Computer Science (or related field) Show more Show less

Role & responsibilities As a Data Architect, your responsibilities will include: Developing Database Solutions : Create and optimize database structures to efficiently store and retrieve company data. Implement data migration strategies when transitioning to new systems. Collaborate with IT teams to set up databases and related tools. Structural Requirements Analysis : Analyze structural requirements for new software and applications. Understand business needs and translate them into effective data models. Data Migration : Migrate data from legacy systems to modern solutions. Ensure smooth data transition without compromising integrity. Data Model Design : Design conceptual and logical data models. Create flowcharts to visualize data processes. Performance Optimization : Continuously improve system performance by conducting tests and troubleshooting. Integrate new elements to enhance efficiency. Security and Collaboration : Define security procedures for data access and management. Collaborate with the Data Science department to identify future needs and requirements. Data Strategy Development : Strategic Thinking : Experience on understanding the client requirement, defining & implementing data strategy aligned with organizational goals. Data Governance : Establish policies and procedures for data management, quality, and compliance. Data Lifecycle Management : Define data lifecycle stages from creation to archival. Preferred candidate profile Perks and benefits

Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to: Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 3+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Interested candidates can share their resumes at - shubhanshi.agarwal@mounttalent.com Whatsapp - 7302239534

Data Scientist Mumbai One of the leading Bank mail at manjeet.kaur@mounttalent.com Whatsapp at 8384077438 Roles and Responsibilities Qualifications • 2-4 years experience in Analytics and Machine Learning & Deep learning(Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU) and Natural Language Generation (NLG)). • Good Experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries (like beautifulsoup). • Knowldge of advanced scraping techniques (like overcoming captcha, proxy, browser fingerprinting, bot detection bypassing,etc) • Working knowledge in various DBs(MySQL, HBase, MongoDB), message queues & Web RestFul APIs. • Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Keras, Tensorflow, Mallet, ML/math toolkits such as scikit-learn, MLlib, Theano, NumPyetc. • Experience of Testing & deployment of Machine learning/deep learning projects in the desired platform. • Strong Logical & Analytical skills with good soft & communication skills Industry Preferably from a Technology, ITES, Shared Services or Banking organization Key Responsibilities • Build, Improve and extend NLP capabilities • Select the proper annotated datasets for supervised learning techniques • Use effective text representation techniques to develop useful features • Identify and utilize the correct algorithms for specific NLP projects • Develop NLP projects in accordance with prescribed requirements • Train developed NLP models and evaluated their effectiveness • Conduct statistical analyses of models, and adjust models where possible • Extend machine learning frameworks and libraries for NLP projects Certifications Certification in Google Tensor Flow, Hadoop, Python, PySpark, SQL, R is desirable Employment Type All positions are on fixed term contract on a full-time basis exclusively for ReBIT, initially for a period of five years, extendable by mutual consent Location Navi Mumba

Job Description We are looking for Sr Data Scientist to join our Data Science and Engineering team who can solve our business and engineering problems efficiently using the various prediction models and heuristics. The responsibilities will include conducting thorough research on the input topics, generating ideas for features and models required for solving various problems for adserver and integrating the model with the main business application. The candidate must be a good programmer and good in data structures apart from being familiar with ML models like logistic regression/decision trees, NLP models and neural networks. Exposure to databases and engineering concepts are a must. Ultimately, youll deliver models with high accuracy that solves the engineering problem at hand, efficiently. Roles & Responsibilities Lead the development and implementation of advanced analytics projects to address business challenges and opportunities. Develop and deploy predictive models by doing research work for right model, data preparation involving various databases, building model and finetuning for accuracy and integrating with business application efficiently to optimize business processes and improve customer experience. Design and build machine learning models to extract insights from large datasets and improve decision-making processes. Collaborate with cross-functional teams including data engineers, business analysts, and product managers to define project requirements and deliver actionable insights. Conduct exploratory data analysis to identify trends, patterns, and outliers in data, and communicate findings to stakeholders. Stay current with industry trends and advancements in machine learning and data science techniques and provide recommendations for adopting new technologies and methodologies. Mentor junior data scientists and provide guidance on best practices for data analysis, model development, and presentation of results. Work closely with stakeholders to understand business objectives and develop data-driven solutions to address their needs. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner. Lead by example in fostering a culture of innovation, collaboration, and continuous learning within the data science team. Skills, Qualifications, and minimum Experience Masters or PHD in CSE/Mathematics/Statistics Minimum of 5 years of experience in data science or related field, with a proven track record of delivering impactful analytics solutions Proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn) Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning etc. Experience with big data technologies with In-depth understanding of SQL. Expert in creating data models, data structures and algorithms. Excellent problem-solving skills and the ability to work with large, complex datasets. Outstanding supervision and mentorship abilities with the ability to lead and mentor junior data scientists and drive projects to successful completion. Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork. Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus. Familiarity with agile development methodologies and experience working in a fast-paced, dynamic environment.

Job Description We are looking for Lead Data Scientist to join our Data Science and Engineering team who can solve our business and engineering problems efficiently using the various prediction models and heuristics.The responsibilities will include conducting thorough research on the input topics, generating ideas for features and models required for solving various problems for adserver and integrating the model with the main business application. The candidate must be a good programmer and good in data structures apart from being familiar with ML models like logistic regression/decision trees, NLP models and neural networks. Exposure to databases and engineering concepts are a must.Ultimately, you'll deliver models with high accuracy that solves the engineering problem at hand, efficiently. Roles & Responsibilities Lead the development and implementation of advanced analytics projects to address business challenges and opportunities. Develop and deploy predictive models by doing research work for right model, data preparation involving various databases, building model and finetuning for accuracy and integrating with business application efficiently to optimize business processes and improve customer experience. Design and build machine learning models to extract insights from large datasets and improve decision-making processes. Collaborate with cross-functional teams including data engineers, business analysts, and product managers to define project requirements and deliver actionable insights. Conduct exploratory data analysis to identify trends, patterns, and outliers in data, and communicate findings to stakeholders. Stay current with industry trends and advancements in machine learning and data science techniques and provide recommendations for adopting new technologies and methodologies. Mentor junior data scientists and provide guidance on best practices for data analysis, model development, and presentation of results. Work closely with stakeholders to understand business objectives and develop data-driven solutions to address their needs. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner. Lead by example in fostering a culture of innovation, collaboration, and continuous learning within the data science team. Skills, Qualifications, and minimum Experience Masters or PHD in CSE/Mathematics/Statistics Minimum of 9 years of experience in data science or related field, with a proven track record of delivering impactful analytics solutions Proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn) Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning etc. Experience with big data technologies with In-depth understanding of SQL. Expert in creating data models, data structures and algorithms. Excellent problem-solving skills and the ability to work with large, complex datasets. Outstanding supervision and mentorship abilities with the ability to lead and mentor junior data scientists and drive projects to successful completion. Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork. Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus. Familiarity with agile development methodologies and experience working in a fast-paced, dynamic environment.

Hiring: Process Engineers (2 - 7 Years Experience) Location: Thane (W), Mumbai, Maharashtra Company: Ingenero Technologies (India) Pvt. Ltd. Website: www.ingenero.com About Ingenero: Ingenero Inc, USA is a high-end consulting and engineering company and a recognized world leader in technical solution design and profitability improvement based on the latest tool technology available in the current market. We are headquartered in Houston, Texas and all our deliveries are managed from our HQ and technology center in Mumbai, India. INGENERO has a strong execution team with over 8000 man-years of experience; 500+ engineers (~450 Process Engineers) trained at leading engineering and manufacturing companies. INGENERO leverages state-of-the-art software tools (proficiency of more than 100 modeling tools) and techniques with the best available engineering and scientific graduates from top universities/companies across the globe. Role: Data Analyst / Scientist Responsibilities: - - Lead the design, development, and deployment of comprehensive analytics solutions for petrochemical and refinery units. Translate business requirements into scalable, data-driven models and solutions. - Perform data cleaning, preprocessing, and feature engineering to create high-quality datasets for modeling. - Develop, validate, and maintain machine learning and deep learning models using Python, focusing on practical, real-world applications for client-specific challenges. - Apply advanced statistical techniques to analyze large datasets, uncovering trends, patterns, and insights that drive informed decision-making. - Collaborate closely with a multi-disciplinary team, including Process Engineers, Data Engineers, and UI Developers, to ensure the successful delivery of project objectives. - Maintain comprehensive and detailed documentation for all projects, ensuring that processes, methodologies, and outcomes are clearly recorded. Prepare and present reports that communicate findings, methodologies, and recommendations to stakeholders in a clear and actionable manner. - Researching and staying updated on emerging data science tools, techniques, and machine learning models. Requirements: - 2-7 years of experience in predictive, descriptive and prescriptive modeling within the Analytics and Machine Learning space. Experience in the petrochemical or refinery industry is highly desirable but not mandatory. - Strong proficiency in Python, with hands-on experience in machine learning frameworks such as Keras and Scikit-learn. Demonstrated ability to develop, deploy, and maintain machine learning and deep learning models in production environments. - In-depth understanding of statistical analysis techniques, including time series forecasting and anomaly detection. - Extensive experience with Python, MySQL and Git. - Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Proven ability to work effectively in a collaborative, cross-functional team environment. - Highly self-motivated with a strong desire to learn, explore, and integrate new technologies and methodologies. - Excellent problem-solving skills and a client-focused mindset. - Familiarity with cloud-based data processing and analytics platforms along with previous experience with Azure, Databricks, and PySpark is a plus. Interested? We'd love to hear from you! Please share the following details with your application: Total Experience Current CTC Expected CTC Notice Period Current Location Plants/Processes Handled Simulation Software Known Academic Scores (10th, 12th, B.Tech, M.Tech) Contact: Shweta Shetty Borse Human Resources Ingenero Technologies shweta@ingenero.com +91 22 6176 4667 Corporate Office: Unit No. 2, 8th Floor, A Wing, iThink Techno Campus, Pokhran Road No. 2, Thane (W), Mumbai, Maharashtra 400607.

Experience :- 4 to 9 years Company :- ACL Digital Location :- Pune, Balewadi Work Mode: Hybrid Looking for Immediate joiner's Should have experience in NLP, Gen AI, Any Cloud(AWS or Azure), Computer Vision, Python,Deep Learning Excellent verbal and written communication skills. Must Have: Overall 4+ years of experience, out of which in 3+ in AI, ML and Gen AI and related technologies • Proven track record of leading and scaling AI/ML teams and initiatives. • Strong understanding and hands-on experience in AI, ML, Deep Learning, and Generative AI concepts and applications. • Expertise in ML frameworks such as PyTorch and/or TensorFlow • Experience with ONNX runtime, model optimization and hyperparameter tuning. • Solid Experience of DevOps, SDLC, CI/CD, and MLOps practices - DevOps/MLOps Tech Stack: Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, ELK stack • Experience in production-level deployment of AI models at enterprise scale. • Proficiency in data preprocessing, feature engineering, and large-scale data handling. • Expertise in image and video processing, object detection, image segmentation, and related CV tasks. • Proficiency in text analysis, sentiment analysis, language modeling, and other NLP applications. • Experience with speech recognition, audio classification, and general signal processing techniques. • Experience with RAG, VectorDB, GraphDB and Knowledge Graphs • Extensive experience with major cloud platforms (AWS, Azure, GCP) for AI/ML deployments. Proficiency in using and integrating cloud-based AI services and tools (e.g., AWS SageMaker, Azure ML, Google Cloud AI). Soft Skills • Strong leadership and team management skills. • Strategic thinking and problem-solving abilities. • Adaptability and adapting to the rapidly evolving AI/ML landscape. • Strong collaboration and interpersonal skills. • Ability to translate market needs into technological solutions. • Strong understanding of industry dynamics and ability to translate market needs into technological solutions. • Demonstrated ability to foster a culture of innovation and creative problem-solving. Show more Show less

As a Data Scientist, you will collaborate with a multi-disciplinary team of solution architects and data engineers on a wide range of business problems. You will be an integral part of IT Advanced Analytics group who are a team responsible for building out capabilities across business strategy, analytics, and Cloud. Data Scientist must be able to: Execute on all phases of the Data Science project lifecycle with minimal supervision Interact with business stakeholders to gather requirements and convey project outcomes Job Responsibilities: Be equal member of a cohesive and selfless team. Take complete ownership of your work with the goal of exceeding customer expectations. Work closely with analysts, developers, and data architects to ensure development meets requirements and delivers optimal performance. Work closely with internal WWT business, engineering and technology teams Contribute on all the stages of data science projects: from performing raw data mining to translating complex technical topics into business solutions. Maintains and enhance a set of critical data models supporting our business use cases. Maintains complex data pipeline supporting our team’s mission in democratizing data and enabling a data driven organization, partnering with our data engineering teams. Effectively communicate actionable insights at all levels of the organization. Collaborate closely with stakeholders to improve our view of modeling and decision engines. Solve complex problems using advanced mathematical modeling and optimization techniques, including but not limited to, big data pre-processing, problem formulation, features engineering, algorithmic selection and evaluation, hyperparameter tuning for machine learning, and deployment. Build and Maintain models for internal customers and business teams, build knowledge and metrics for the product life cycle. Flexibility to work as a member of a matrix based diverse and geographically distributed project teams. Enhance the subject matter expertise while working with the various business domains. , Required Skills: 2-5 years of experience in data engineering, analytics and data sciences. Experience in LLM and Gen AI. Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc. Familiarity with ML Ops tools/platforms Familiarity with Docker and Kubernetes Proficiency in one or more visualization tools like Tableau etc. Experience engineering information out of massive, complex and, in some cases, unstructured datasets. Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery. Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization. Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity. Excellent problem-framing, problem solving and project management skills and ability to change direction quickly. Ability to balance and prioritize multiple projects. Experience working within a Cloud based environment, SaaS. Experience with git and version control workflows. Proficient in performance tuning and debugging Show more Show less

We're Hiring: Data Scientist Databricks & ML Deployment Expert Location: Mumbai/Pune Experience: 38 Years Apply Now! Are you passionate about deploying real-world machine learning solutions? We're looking for a versatile Data Scientist with deep expertise in Databricks, PySpark , and end-to-end ML deployment to drive impactful projects in the Retail and Automotive domains. What Youll Do Develop scalable ML models (Regression, Classification, Clustering) Deliver advanced use cases like CLV modeling , Predictive Maintenance , and Time Series Forecasting Design and automate ML workflows on Databricks using PySpark Build and deploy APIs to serve ML models (Flask, FastAPI, Django) Own model deployment and monitoring in production environments Work closely with Data Engineering and DevOps teams for CI/CD integration Optimize pipelines and model performance (code & infrastructure level) Must-Have Skills Strong hands-on with Databricks and PySpark Proven track record in ML model development & deployment (min. 2 production deployments) Solid grasp of Regression, Classification, Clustering & Time Series Proficiency in SQL , workflow automation, and ELT/ETL processes API development (Flask, FastAPI, Django) CI/CD, deployment automation, and ML pipeline optimization Familiarity with Medallion Architecture Domain Expertise Retail : CLV, Pricing, Demand Forecasting Automotive : Predictive Maintenance, Time Series Nice to Have MLflow, Docker, Kubernetes Cloud: Azure, AWS, or GCP If you're excited to build production-ready ML systems that create real business impact, we want to hear from you! Apply Now to chaity.mukherjee@celebaltech.com.

Data Scientist Experience: 3 - 6 Years Exp Salary : Competitive Preferred Notice Period : less than or equal to 30 days Shift : 9:30 AM to 6:30 PM IST Opportunity Type: Hybrid (Mumbai) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Machine Learning, Python, Statistics Shaadi.com (One of Uplers' Clients) is Looking for: Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description- Data Scientist We are seeking a talented Data Scientist II to join our team. The ideal candidate will have 2-5 years of experience in data science and possess expertise in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. Duties and Responsibilities: Develop and implement machine learning models to extract insights from large datasets. Utilize deep learning techniques to enhance data analysis and predictive modeling. Write efficient Python code to manipulate and analyze data. - Work with SQL databases to extract and transform data for analysis. Utilize Amazon Redshift for data warehousing and analytics. Apply NLP techniques to extract valuable information from unstructured data. - Utilize AWS Cloud services for data storage, processing, and analysis. Qualifications and Requirements: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. - 3-5 years of experience in data science or related field. Proficiency in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Key Competencies - Strong analytical skills. - Problem-solving abilities. - Proficiency in machine learning and deep learning techniques. Excellent programming skills in Python. - Knowledge of SQL and database management. Familiarity with Amazon Redshift, NLP, and AWS Cloud services. Performance Expectations: Develop and deploy advanced machine learning models. Extract valuable insights from complex datasets. Collaborate with cross-functional teams to drive data-driven decision-making. Stay updated on the latest trends and technologies in data science. We are looking for a motivated and skilled Data Scientist I to join our team and contribute to our data-driven initiatives. If you meet the qualifications and are passionate about data science, we encourage you to apply. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Shaadi.com, the world's No.1 Matchmaking platform, pioneered online personals at the turn of the century and has continued to lead the exciting space for 20 years. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Data Scientist Experience: 3 - 6 Years Exp Salary : Competitive Preferred Notice Period : less than or equal to 30 days Shift : 9:30 AM to 6:30 PM IST Opportunity Type: Hybrid (Mumbai) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Machine Learning, Python, Statistics Shaadi.com (One of Uplers' Clients) is Looking for: Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description- Data Scientist We are seeking a talented Data Scientist II to join our team. The ideal candidate will have 2-5 years of experience in data science and possess expertise in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. Duties and Responsibilities: Develop and implement machine learning models to extract insights from large datasets. Utilize deep learning techniques to enhance data analysis and predictive modeling. Write efficient Python code to manipulate and analyze data. - Work with SQL databases to extract and transform data for analysis. Utilize Amazon Redshift for data warehousing and analytics. Apply NLP techniques to extract valuable information from unstructured data. - Utilize AWS Cloud services for data storage, processing, and analysis. Qualifications and Requirements: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. - 3-5 years of experience in data science or related field. Proficiency in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Key Competencies - Strong analytical skills. - Problem-solving abilities. - Proficiency in machine learning and deep learning techniques. Excellent programming skills in Python. - Knowledge of SQL and database management. Familiarity with Amazon Redshift, NLP, and AWS Cloud services. Performance Expectations: Develop and deploy advanced machine learning models. Extract valuable insights from complex datasets. Collaborate with cross-functional teams to drive data-driven decision-making. Stay updated on the latest trends and technologies in data science. We are looking for a motivated and skilled Data Scientist I to join our team and contribute to our data-driven initiatives. If you meet the qualifications and are passionate about data science, we encourage you to apply. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Shaadi.com, the world's No.1 Matchmaking platform, pioneered online personals at the turn of the century and has continued to lead the exciting space for 20 years. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Work with large, diverse datasets to deliver predictive and prescriptive analytics Develop innovative solutions using data modeling, machine learning, and statistical analysis Design, build, and evaluate predictive and prescriptive models and algorithms Use tools like SQL, Python, R, and Hadoop for data analysis and interpretation Solve complex problems using data-driven approaches Collaborate with cross-functional teams to align data science solutions with business goals Lead AI/ML project execution to deliver measurable business value Ensure data governance and maintain reusable platforms and tools Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Technical Skills Programming Languages: Python, R, SQL Machine Learning Tools: TensorFlow, PyTorch, scikit-learn Big Data Technologies: Hadoop, Spark Visualization Tools: Tableau, Power BI Cloud Platforms: AWS, Azure, Google Cloud Data Engineering: Talend, Data Bricks, Snowflake, Data Factory Statistical Software: R, Python libraries Version Control: Git Preferred Qualifications: Masters or PhD in Data Science, Computer Science, Statistics, or related field Certifications in data science or machine learning 7+ years of experience in a senior data science role with enterprise-scale impact Experience managing AI/ML projects end-to-end Solid communication skills for technical and non-technical audiences Demonstrated problem-solving and analytical thinking Business acumen to align data science with strategic goals Knowledge of data governance and quality standards At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone of every race, gender, sexuality, age, location and income deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #Nic

Data Scientist Experience: 3 - 6 Years Exp Salary : Competitive Preferred Notice Period : less than or equal to 30 days Shift : 9:30 AM to 6:30 PM IST Opportunity Type: Hybrid (Mumbai) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Machine Learning, Python, Statistics Shaadi.com (One of Uplers' Clients) is Looking for: Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description- Job Description Data Scientist We are seeking a talented Data Scientist II to join our team. The ideal candidate will have 2-5 years of experience in data science and possess expertise in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. Duties and Responsibilities: Develop and implement machine learning models to extract insights from large datasets. Utilize deep learning techniques to enhance data analysis and predictive modeling. Write efficient Python code to manipulate and analyze data. - Work with SQL databases to extract and transform data for analysis. Utilize Amazon Redshift for data warehousing and analytics. Apply NLP techniques to extract valuable information from unstructured data. - Utilize AWS Cloud services for data storage, processing, and analysis. Qualifications and Requirements: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. - 3-5 years of experience in data science or related field. Proficiency in machine learning, deep learning, Python programming, SQL, Amazon Redshift, NLP, and AWS Cloud. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Key Competencies - Strong analytical skills. - Problem-solving abilities. - Proficiency in machine learning and deep learning techniques. Excellent programming skills in Python. - Knowledge of SQL and database management. Familiarity with Amazon Redshift, NLP, and AWS Cloud services. Performance Expectations: Develop and deploy advanced machine learning models. Extract valuable insights from complex datasets. Collaborate with cross-functional teams to drive data-driven decision-making. Stay updated on the latest trends and technologies in data science. We are looking for a motivated and skilled Data Scientist I to join our team and contribute to our data-driven initiatives. If you meet the qualifications and are passionate about data science, we encourage you to apply. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Shaadi.com, the world's No.1 Matchmaking platform, pioneered online personals at the turn of the century and has continued to lead the exciting space for 20 years. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

We are looking for a passionate AI Intern to join our team and assist in integrating artificial intelligence solutions into our corporate gifting platform. This role is ideal for candidates interested in AI applications in e-commerce, personalization, and business process automation. Key Responsibilities: Develop and implement AI-driven solutions for product recommendations, personalization, and chatbot enhancements. Assist in training machine learning models for customer behavior analysis and trend prediction. Support automation of operational tasks like order tracking, inventory management, and demand forecasting. Work closely with the development team to integrate AI models into the company\u2019s existing systems. Conduct data analysis to derive insights that enhance marketing and sales strategies. Stay updated with the latest AI trends and propose innovative solutions for business growth. Requirements Required Skills & Qualifications: Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of AI applications in e-commerce or customer experience enhancement is a plus. Strong analytical and problem-solving skills. Ability to work collaboratively in a fast-paced environment.

Position Overview As the newest addition to our existing Data Science team, youll combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new productsMore towards the role required Company Overview BOLD is an established and fast-growing product company that transforms work lives. Since 2005, weve helped more than 10,000,000 folks from all over America(and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry. Key Responsibilities Demonstrate ability to work on data science projects involving NLP, large language models, predictive modelling, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Collaborates effectively with cross functional teams to deliver end-to-end products & features. Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements. Estimates efforts, identify risks, devises and meets project schedules. Runs review meetings effectively and drive the closure of all open issues on time Mentors/coaches data scientists to facilitate their development and provide technical leadership to them. Rises above detail to see broader issues and implications for whole product/team Required Skills Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in using large language models. Experience in feature selection, building and optimizing classifiers. Experience working with backend technologies such asFlask/Gunicorn etc. Experience on working with open source library such Spacy, NLTK, Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc. Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software

Job description: Data Scientist Specialist (NLP, LLM, and GenAI) Roles and responsibilities: • Collaborate with Product, Data, and Technology teams to design and create a suite of new microservices powered by AI • Work alongside a team of data scientists in applying state-of-the-art LLMs from OpenAI, Anthropic, Meta, and Mistral • Create NLP pipelines for Named Entity Recognition and Entity Resolution • Assess the quality and robustness of your solutions and iterate to optimize performance • Apply best practices of MLOps / LLMOps in deploying new products and services to production We expect you to have: • 7+ years processing structured and unstructured data using NLP • 1+ years applying LLMs and RAG to solve real-world, industry problems • Solid understanding of NLP and related concepts such as vectorization, entity resolution, string similarity, and semantic search • Python experience is required, AWS/ FastAPI / Gradio / Docker and LLM fine-tuning is a plus • Cloud and systems experience in AWS S3/EC2, Databricks, and linux • Solid understanding of Git or other version control software • Passionate about Generative AI, consistently tracking the latest industry developments • Strong organizational and communication skills, both verbal and written • Ambitious and enthusiastic about working in a fast-paced, startup style environment • Bachelor's degree in computer science, Computer Engineering, or related discipline. Masters preferred. It would be phenomenal if you: • Have previous experience crafting financial data products. • Have strong aptitude and/or interest in financial markets

Product Knowledge, E-Commerce , taxonomy, ontology and catalog data to enhance search, recommendations, and AI-powered experiences. High-agency, AI/ML and product analytics. Writing SQL queries, automating workflows in Python and LLMs.

Job Description Summary The Sr Data Scientist will contribute to ideating and developing near-term and long-term projects with significant business impact. In this role, the person will support the technology roadmap of the organization in the areas of computer vision, image analytics, and deep learning, and will be involved in creating impactful projects in these domains. Additionally, the individual will participate in reviews and provide technical support for global teams, helping to integrate advanced techniques into GE Aerospace's solutions. Job Description Company Overview Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight! Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value Serve as a recognized technical leader in data science - anticipate, develop and apply technology to current and future business opportunities. Proficient in statistics, machine learning and deep learning technologies Identify opportunities to use data science to create customer value, execute on the same. Develop, verify and validate analytics to address customer needs and opportunities, communicate methods, findings and hypothesis with stakeholders. Influence the decisions the leadership takes with relevant inputs and suggestions. Being aware of the latest technology trends in the industry and introducing the relevant ones within the organization Identifies IP Opportunities and Supports technical roadmap development within domain , site , Organization. Lead initiatives to continuously improve data science methodologies and processes, leveraging lean principles to enhance efficiency and effectiveness in project delivery. Develop, verify, and validate analytics to address customer needs and opportunities. Work as part of a cross-functional team to translate algorithms into commercially viable products and services. Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Ensure that projects comply with relevant aerospace industry regulations and standards, maintaining the highest levels of safety and quality. The Ideal Candidate Ideal candidate should have experience in Image Analytics, Computer Vision, Python and cloud platforms Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with 5+ experience in data science Demonstrated skill in the use of Python and or other analytic software tools or languages Demonstrated skill in guiding teams to solve business problems Strong communication, interpersonal and leadership skills Preferred Qualifications : Humble: respectful, receptive, agile, eager to learn Transparent: shares critical information, speaks with candor, contributes constructively Focused: quick learner, strategically prioritizes work, committed Leadership ability: strong communicator, decision-maker, collaborative Problem solver: analytical-minded, challenges existing processes, critical thinker Whether we are manufacturing components for our engines, driving innovation in fuel and noise reduction, or unlocking new opportunities to grow and deliver more productivity, our GE Aerospace teams are dedicated and making a global impact. Join us and help move the aerospace industry forward. #LI-VR1 Additional Information Relocation Assistance Provided: No

Job Description Summary The Senior NLP Data Scientist will work in teams addressing natural language processing, large language models (LLMs), and agentic AI problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of advanced NLP techniques, large language models, agentic AI systems, and semantic analysis methods for extracting and understanding structure in large text data sets. Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview: Develop and implement state-of-the-art NLP models and algorithms, with a focus on large language models (LLMs) and agentic AI. Collaborate with cross-functional teams to identify and solve complex NLP problems in various domains. Design and conduct experiments to evaluate the performance of NLP models and improve their accuracy and efficiency. Deploy NLP models into production environments, ensuring scalability and robustness. Analyze large text data sets to uncover insights and patterns using advanced statistical and machine learning techniques. Stay up-to-date with the latest research and advancements in NLP, LLMs, and agentic AI, and apply this knowledge to ongoing projects. Communicate findings and recommendations to stakeholders through clear and concise reports and presentations. Mentor and guide junior data scientists and engineers in best practices for NLP and machine learning. Develop and maintain documentation for NLP models, algorithms, and processes. Collaborate with product managers and engineers to integrate NLP solutions into products and services. Conduct code reviews and ensure adherence to coding standards and best practices. Participate in the development of data collection and annotation strategies to improve model performance. Contribute to the development of intellectual property, including patents and publications, in the field of NLP and AI The Ideal Candidate Ideal candidate should have experience in Image Analytics, Computer Vision, Python and cloud platforms Required Qualifications: Bachelor's Degree in Computer Science or STEM Majors (Science, Technology, Engineering and Math) with 5+ experience in data science Demonstrated skill in the use of Python and or other analytic software tools or languages Demonstrated skill in guiding teams to solve business problems Strong communication, interpersonal and leadership skills Preferred Qualification Proven experience in developing and deploying NLP models, particularly large language models (LLMs) and agentic AI systems. Strong programming skills in Python and familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, Langchain, Langgraph and spaCy. Experience with cloud platforms and tools for deploying machine learning models (e.g., AWS, GCP, Azure). Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Experience with transfer learning, fine-tuning, and prompt engineering for LLMs. Knowledge of agentic AI principles and their application in real-world scenarios. Familiarity with big data technologies and tools such as Hadoop, Spark, and SQL. Publications or contributions to the NLP and AI research community. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. Additional Information Relocation Assistance Provided: Yes