1342 Deep Learning Jobs - Page 7

Educational Qualification: Education: Masters or PhD in Computer Science, Machine Learning, AI, Engineering, or a related technical field. Work Experience : Experience: 4-6 years of experience in machine learning based data product research and development in addition to relevant educational background in the field of Computer Science, Engineering, Machine Learning etc. Role Description : We are seeking an AI Scientist to join our analytics team. This role focuses on the development of innovative machine learning and deep learning models that unlock the full potential of Pixxels hyperspectral data. You will work on impactful, data-driven projects aimed at solving complex challenges using state-of-the-art technology and methodologies. As a key contributor to Pixxels analytics vision, you will: Leverage state-of-the-art AI techniques to address complex challenges in imaging analytics, data fusion, and large-scale data processing. Develop multimodal AI models that integrate hyperspectral data with other sensor modalities like radar, LiDAR, and weather datasets, enabling actionable insights for clients across diverse industries. Work closely with cross-functional teams, translating business and scientific objectives into AI-powered solutions that are scalable, efficient, and impactful. Responsibilities & Duties : AI Model Development: Design and implement advanced AI/ML models for classification, prediction, segmentation, and anomaly detection using Pixxels hyperspectral data and multimodal datasets. Multimodal Data Fusion: Integrate diverse data sources, such as hyperspectral, radar, LiDAR, and ancillary datasets, to enhance feature extraction, accuracy, and scalability. Algorithm Optimization: Develop computationally efficient algorithms that can handle large-scale, high-dimensional datasets and deploy them in production environments. R&D Leadership: Research and implement state-of-the-art techniques, including Transformer models, GANs, self-supervised learning, and other emerging techniques, to stay ahead in AI innovation. Cross-Functional Collaboration: Work with domain experts (e.g., hyperspectral scientists, environmental specialists) to understand the data and define project objectives, translating business problems into robust AI models. Communication & Presentation: Clearly explain complex AI concepts, model outputs, and research findings to technical and non-technical stakeholders. Skills and Experience Required: Technical Expertise: Proficiency in advanced machine learning and deep learning architectures (e.g., CNNs, RNNs, Transformers, GANs, LSTMs). Strong background in Python and frameworks such as PyTorch, TensorFlow, or PyTorch Lightning. Experience in developing AI models for complex datasets. Experience with imaging data (e.g., hyperspectral, medical, drone, or satellite imagery), is not required, but would be beneficial. Solid understanding of key principles in multimodal data fusion, computer vision, and large-scale data processing. Communication & Collaboration: Strong communication skills to present findings, teach concepts, and collaborate effectively with non-AI experts. Ability to work cross-functionally with data scientists, engineers, and domain specialists . R&D Mindset: Proven experience in implementing cutting-edge research techniques and staying up-to-date with advancements in AI. Candidate Acumen : As an AI Scientist, I bring expertise in developing advanced machine learning and deep learning models to extract insights from hyperspectral data, leveraging state-of-the-art methodologies to tackle complex, data-driven challenges. Benefits: Comprehensive insurance coverage for you and your family. Free access to mental health professionals and paid sick leave. Benefits like vaccination drives and more. Flexible working hours. Opportunity to work with top scientists and professionals in space technology.

Educational Qualification: Bachelor's degree in Computer Science, Software Engineering, or a related field. Work Experience : 2-4 years of industry experience in building solid software product s. Role Description : As a Senior AI Engineer at Pixxel, you will be instrumental in planning, designing, developing and maintaining cutting edge solutions for AI products leveraging both foundation models and specialized deep learning architectures. Your role will focus on building innovative AI solutions that combine the power of large multimodal models, and AI engineering to extract meaningful insights from satellite imagery. Responsibilities & Duties : Design and develop AI products and features using foundation models (LLMs, vision models) to analyze and interpret satellite imagery data. Write clean, maintainable, and efficient code while following best practices for software development. Prompt Engineering. Planning and delivery of a project with the help of senior folks in the team. Participate in code reviews, providing constructive feedback to team members and ensuring code quality. Document technical specifications, processes, and procedures related to the projects. Contribute to the continuous improvement of development processes, tools, and methodologies. Desirable Skills & Certifications: Bachelors degree in Computer Science or related field. 2+ years of experience in python and AI product development. Strong programming skills in Python and related ML frameworks. Can write scalable python code. Proficient with AsycIO and multiprocessing in python. Design patterns in python. Relational database. REST APIs. Experience with Pytorch or Tensor flow. Basic understanding of Docker and Kubernetes. Prompt engineering. At least 1 years of experience in managing a project/ownership and delivery of a project. (medium complexity). Strong expertise in foundation models applications including Tool calling, RAG(Retrieval-Augmented generation) and Agents architecture. Proven track record of building and deploying AI applications. Experience with large-scale model training and optimization. Familiarity with MLOps and model deployment pipelines. Candidate Acumen : A strong desire to work in an unstructured, high-growth, fast-paced start-up environment Benefits: Health insurance coverage Unlimited leaves & flexible working hours Role-based remote work and work-from-home benefit Relocation assistance

Job Description: AI Engineer (Junior / Associate Level) About the Role We are looking for a passionate and hands-on AI Developer with around 3 years of experience in building and deploying machine learning models and working with the latest AI tools and frameworks. You will be working closely with our data science and engineering teams to develop smart, scalable, and production-ready AI solutions. Key Responsibilities Design, develop, test, and deploy machine learning models for classification, regression, recommendation, or NLP tasks. Work with state-of-the-art AI tools and libraries such as LangChain, Hugging Face, OpenAI, LlamaIndex, etc. Integrate Large Language Models (LLMs) into applications via APIs or custom fine- tuning. Build data pipelines for training and inference, ensuring model performance and robustness. Collaborate with software developers, product managers, and data engineers to turn AI models into usable products. Stay updated with the latest research and innovations in the AI/ML space and bring new ideas into development. Optimize model performance and scale AI solutions for production. Required Skills & Experience Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. 2 to 4 years of hands-on experience in machine learning and deep learning. Proficiency in Python and libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy. Good understanding of LLMs and experience working with platforms like OpenAI, Claude, Cohere, or Hugging Face Transformers. Experience in prompt engineering, fine-tuning, or using frameworks like LangChain, LlamaIndex, or Haystack. Exposure to cloud platforms (AWS, GCP, Azure) and tools like Docker, Git, CI/CD workflows. Strong analytical and problem-solving skills. Understanding of data preprocessing, feature engineering, and model evaluation techniques. Good to Have Experience building AI chatbots or virtual assistants. Knowledge of Vector databases (e.g., Chroma, Pinecone, Weaviate). Familiarity with MLOps tools like MLflow, Kubeflow, Vertex AI, etc. Experience with RESTful APIs or microservices architecture. Participation in Kaggle competitions or open-source AI projects. What We Offer Opportunity to work on real-world AI applications and products. A collaborative, learning-first environment. Exposure to enterprise-grade AI deployments and tools. Flexible working hours and remote work options. Competitive compensation and career growth path.

Overview The Executive Vice President of the Data Intelligence Group will lead, mentor, and develop a team of Associates and Analysts. This role involves overseeing and driving initiatives related to data migration, data management, architecture, and advanced analytics for our clients. We seek a strategic leader with a proven track record in managing large-scale data projects, advanced analytics, and expertise in Big Data technologies. The ideal candidate will have deep knowledge in Machine Learning (ML), Artificial Intelligence (AI), and a foundational understanding of Generative AI. This position offers a dynamic path for learning and growth, with high exposure to stakeholder management and client engagement. Key Responsibilities: Lead and manage large-scale data migration projects, ensuring successful execution and stakeholder satisfaction Develop and implement data management strategies and architectural frameworks that support business objectives Oversee advanced analytics initiatives, leveraging data to inform strategic decision-making Consult and interact regularly with clients, acting as a thought partner to understand their needs and drive value Collaborate with cross-functional teams to deploy ML models and AI solutions that drive innovation and efficiency Manage teams working across multiple projects for different clients, ensuring high performance and effective collaboration Foster a culture of continuous improvement, encouraging the team to adopt best practices in data engineering and analytics Mentor and develop team members, nurturing talent in areas such as NLP, predictive analytics, and LLMs Stay abreast of industry trends and technologies, ensuring the organization remains competitive in data analytics and management Familiarity with a variety of data-related fields, including but not limited to: Data Engineering and Management Artificial Intelligence (ML, Deep Learning, Generative AI) Cloud Architecture and Analytics (Azure, AWS, GCP) DevOps and Platform Engineering Software Development and Application Architecture Business Intelligence Solutions (Power BI, Tableau) Qualifications 10+ years of experience in data management, solution architecture, analytics, and project oversight Proven experience in managing large-scale data migration and complex analytics projects Strong experience in cloud architecture and solution design Strong background in Machine Learning, AI, and Generative AI Experience in the BFSI sector is preferred Education Bachelors degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred Compensation The compensation structure will be as per industry standard

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 Description AI/ML Engineer We are seeking a sharp, innovative, and passionate AI/ML Engineer to join our R&D team. You will be responsible for designing and deploying intelligent algorithms that enhance the predictive capabilities of our remote diagnostics platform used in railway signaling and other critical infrastructure. Responsibilities: Build and deploy machine learning and deep learning models for predictive maintenance and anomaly detection. Analyze time-series sensor data to develop accurate failure prediction models. Work with massive datasets – cleaning, preprocessing, feature engineering, and model tuning. Develop and expose ML models as REST APIs for integration into cloud-based systems. Collaborate with domain experts, data engineers, and full stack developers to create robust, production-grade solutions. Perform continuous evaluation and improvement of deployed models (MLOps). Stay updated with the latest AI research and evaluate them for real-world application. Required Skills & Qualifications: 2–5 years of experience in AI/ML project development and deployment. Proficiency in Python , Scikit-learn , Pandas , NumPy . Hands-on experience with TensorFlow or PyTorch . Solid understanding of ML algorithms , classification , regression , clustering , NLP , or computer vision . Experience with model deployment , APIs , and Docker . Knowledge of cloud platforms (AWS/GCP/Azure) is a plus. Strong problem-solving skills and understanding of statistical concepts. Nice to Have: Experience with time-series forecasting and anomaly detection. Prior exposure to predictive maintenance in industrial environments. Familiarity with IoT data and sensor networks.

Design, develop, and deploy machine learning models for various use cases (classification, regression, NLP, CV, etc.) Preprocess, clean, and transform large datasets for training and testing Conduct model evaluation, performance tuning, and error analysis Collaborate with data engineers, product managers, and business stakeholders to deliver intelligent solutions Implement and manage scalable ML pipelines using tools like MLflow, Airflow, or Kubeflow Work with cloud platforms such as AWS, Azure, or GCP for model training and deployment Stay updated with the latest advancements in AI/ML technologies and frameworks Roles and Responsibilities Strong programming skills in Python and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch Experience with model deployment and MLOps practices Good understanding of data structures, algorithms, and statistics Hands-on experience with cloud platforms (AWS/GCP/Azure) Proficiency in SQL and working with databases/data warehouses Knowledge of Docker/Kubernetes is a plus Excellent problem-solving and communication skills

Role & responsibilities IT developer OJT(On The JOB Training) with AI, Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django & ML/DL Internships are available For NON IT graduates, we will train you in live AI/IOT/Web/Mobile projects of USA startups. Full time opportunity after Successful Internships. Additional training will be provided for freshers along with 2 year Master degree & 3 year degree enrollments. Preferred candidate profile Fast & SLOW self learner programs. Good understanding of Accounting, healthcare and business application exposure is required.

Role & responsibilities Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Preferred candidate profile Bachelor's or advanced degree in Computer Science, Data Science, or a related field. Over 8 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Perks and benefits Best in the Industry Regards Supriya yadav 8377028382 supriya @mounttalent.com

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

Role & responsibilities Job location : - Bengaluru/Gurgaon/Mumbai/Pune/Hyderabad Participate in visioning workshop & develop innovative AI strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to AI & Analytics solutions! Develop target strategy with respect to AI & GEN AI needs along with Key initiatives & roadmap. Who are we looking for? Years of Experience: Candidates should typically have at least 5-8 years of experience in AI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing AI strategies for clients across various industries Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Perks and benefits Best in the Industry Regards Supriya yadav 8377028382

Job Title: Machine Learning Engineer Job Description: The ideal candidate will have a strong background in applying machine learning to Digital Signal Processing, particularly in audio signal analysis and accelerometer data analysis. This role involves developing innovative ML models, including CNNs, RNNs, and GANs, and leveraging techniques such as LLMs and low-rank adaptation to enhance our product offerings. The successful candidate will also be proficient in MLOps practices and deploying ML models into production environments. Key Responsibilities: Custom ML Model Development: Design and build custom machine learning models from scratch, tailored to specific applications in digital and audio signal processing and accelerometer data analysis. The ideal candidate will have published papers or demonstrable customized models custom-built for specific problem domains. Advanced ML Techniques: Apply advanced machine learning techniques, including time series analysis, CNNs, RNNs, GANs, LLMs, and low-rank adaptation, to solve complex problems in pet wellness technology. Data Analysis and Processing: Perform sophisticated data analysis and preprocessing to prepare datasets for machine learning applications. MLOps and Model Deployment: Implement MLOps practices to streamline the deployment of machine learning models into production, ensuring scalability, performance, and reliability. Performance Optimization: Continuously monitor and optimize ML models to improve accuracy and efficiency. Cross-functional Collaboration: Work closely with product development, engineering, and data science teams to integrate ML models into Hoomanely Inc.'s product ecosystem. Research and Innovation: Stay abreast of the latest developments in machine learning and signal processing to drive innovation within the company. Qualifications: Bachelors/Masters in Engineering in Computer Science, Data Science, Electrical Engineering, or a related field focusing on machine learning. Preferably from a top tier (Tier 1 in India/US - IIT, NIT equivalent) institute. Proven experience building custom ML models for digital signal processing, audio signal analysis, and accelerometer data analysis, with a minimum of 6 years of relevant experience. Strong knowledge of time series-based machine learning, CNNs, RNNs, GANs, LLMs, and low-rank adaptation techniques. Experience with MLOps practices and deploying machine learning models in production environments. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python). Excellent analytical, problem-solving, and communication skills. Preferred Skills: Experience in pet wellness or related industries. Familiarity with IoT device data processing and analysis. Knowledge of cloud computing platforms and services for ML deployment. Application Process: Interested candidates should submit a resume, cover letter highlighting their machine learning expertise and specific projects related to signal processing and model deployment, and links to relevant work or publications. The selection process will include technical interviews, a practical machine learning assessment, and discussions on past projects and contributions.

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.

AWS AI/ML Expert with 5 to 6 years of hands on experience in designing, developing, and deploying artificial intelligence and machine learning solutions on the AWS cloud platform. The ideal candidate will have strong proficiency in AWS AI services

Job Title: Principal Machine Learning Architect Location: Bengaluru, Hybrid Department: Engineering / Data Science Reports To: Head of AI/ML About the Role: We are seeking a highly experienced Principal Machine Learning Architect to lead the design, development, and deployment of large-scale, high-impact ML solutions across our organization. As a thought leader, you will drive the ML roadmap, architect end-to-end solutions, and ensure our ML infrastructure is scalable, secure, and production-ready. Key Responsibilities: Architecture Leadership: Design and oversee the implementation of scalable, reliable, and efficient machine learning architectures. End-to-End Ownership: Lead the entire ML lifecycle from problem definition, data ingestion, feature engineering, model development, deployment, and monitoring. Strategic Guidance: Define best practices for ML system design, governance, LLM, NLP, Deep Learning, Machine Learning, RAG, MLOps, and responsible AI practices. Collaboration: Work cross-functionally with data scientists, ML engineers, product managers, and infrastructure teams to ensure alignment and integration. Innovation: Evaluate and incorporate new tools, techniques, and research to improve model performance and infrastructure. Mentorship: Provide technical mentorship to ML engineers and data scientists; promote a culture of technical excellence and continuous learning. Scalability: Architect and optimize ML solutions for scalability, performance, and maintainability in cloud and hybrid environments. Security & Compliance: Ensure models and data pipelines adhere to security, fairness, and compliance standards. Required Qualifications: 10+ years of experience in software engineering or data science with at least 5 years in ML architecture or applied ML roles. Advanced degree (MS/PhD) in Computer Science, Machine Learning, Data Science, or a related field. Proven experience building and deploying ML systems at scale (e.g., recommendation systems, NLP, computer vision, time series). Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Deep understanding of data infrastructure, distributed computing, and modern MLOps practices (e.g., MLflow, Kubeflow, Airflow). Familiarity with cloud platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes). Strong knowledge of data privacy, model governance, and responsible AI principles. Preferred Qualifications: Experience with generative AI or LLM deployment. Contributions to open-source ML projects or research publications. Familiarity with data mesh, feature stores, or real-time ML pipelines. Strong communication and leadership skills.Role & responsibilities Preferred candidate profile

Job description Position: Computer Vision Engineer Experience Level : 5-12 yrs Location : Madurai/Coimbatore Type : Full-time Vacancy :03 Note: Immediate Joiners preferred Job Overview : We are looking for an experienced Computer Vision Engineer with expertise in image processing, machine learning, and deep learning. The ideal candidate should have hands-on experience developing and deploying computer vision algorithms and deep learning models using Python, OpenCV, and YOLO, along with proficiency in CUDA and NumPy. This role involves research, model optimization, and real-world deployment of cutting-edge computer vision solutions. Key Responsibilities : Develop and deploy computer vision algorithms and deep learning models for diverse applications. Design and implement computer vision models using state-of-the-art techniques and frameworks. Explore and analyze unstructured data like images through image processing techniques Analyze, evaluate, and optimize existing computer vision systems for improved performance and accuracy. Test and validate computer vision code and models, ensuring robustness and reliability Research and implement new computer vision technologies to stay at the forefront of the field. Collaborate with cross-functional teams to develop innovative solutions meeting project requirements Monitor the performance and accuracy of deployed computer vision models, making necessary adjustments. Maintain and update computer vision systems to ensure their continued functionality and relevance. Provide technical support and guidance to team members and customers using computer vision systems. Requirements : Bachelor's degree in Computer Science or a related field and above. Proven experience in developing and deploying computer vision systems. Strong knowledge of computer vision algorithms, libraries, and tools such as: OpenCV, TensorFlow, PyTorch, Keras, NumPy, scikit-image, Matplotlib, Seaborn, YOLO, etc. Familiarity with GPU acceleration and optimization tools like CUDA, OpenCL, OpenGL. Expertise in computer vision applications, including : Object detection, image classification, text detection & OCR, face detection, generative models, video analytics, object tracking, and model compression/optimization. Experience with runtime AI frameworks such as ONNX, TensorRT, OpenVINO. Hands-on experience with cloud platforms (AWS, Azure), Docker, Kubernetes, and GitHub Experience in training models using GPU computing or cloud-based environments. Familiarity with machine learning and deep learning concepts and frameworks. Strong problem-solving and analytical skills. Ability to work independently in a fast-paced environment and collaborate effectively in a team. Preferred Qualifications : Experience in real-time video processing and streaming analytics. Knowledge of Edge AI and deployment on embedded systems. Exposure to 3D vision, SLAM, and depth estimation. Contributions to open-source computer vision projects. Interested candidates may email their resumes to mail to: info@sumanastech.com Or contact via Call or WhatsApp at 9952870443 8870444768 You can take a look at our Company Profile here: https://www.sumanastech.com/

About the Team: ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals. What you can look forward to as AI Research Scientist (m/f/d): Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL). Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms. Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques. Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training methods for deep neural networks. Prototype and explore the potential of advanced machine learning models, including deep learning architectures like convolutional neural networks (CNNs) or recurrent neural networks (RNNs). Contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. This may involve improving existing algorithms or exploring entirely new approaches. Focus on theoretical aspects of model design, such as improving model efficiency, reducing bias, or achieving explainability in complex models. Document research methodologies, experimental procedures, and theoretical contributions for future reference and knowledge sharing within the research community. Contribute to the development of the research team's long-term research goals and strategies. Your profile as AI Research Scientist (m/f/d): Master's degree in Mathematics, Computer Science or other related technical fields. Phd is good to have. 8+ years of experience in research development, with a strong understanding of data structures and algorithms. 5+ years of experience building and deploying machine learning models in production. Proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing systems and large-scale data processing & Excellent communication and collaboration skills. Contribution to invention disclosure process & A strong publication record in top machine learning conferences or journals.

As a Machine Learning Engineer, you will be responsible for creating machine learning models and retraining systems. You will work closely with AI Architects, Cloud Engineers, and a CRM Development Team, such as Salesforce. Your role will involve working with GenAI models like Gemini, GPT4, and others, as well as traditional machine learning models from the NLP/Deep Learning discipline. A key part of your role will be evaluating models and maintaining ethical responsibilities. The ideal candidate for this role is a tech-savvy professional with an in-depth understanding of machine learning models and technologies. They must be able to work collaboratively with a diverse team and have a solution-oriented mindset. They should also have a solid commitment to maintaining ethical standards in their work. Primary Responsibilities: Collaborate with AI Architects, Cloud Engineers, and a CRM Development Team to design and implement machine learning models and systems Work with GenAI models like Gemini, GPT4, as well as traditional machine learning models from the NLP/Deep Learning discipline Retrain existing models and systems to ensure their accuracy and efficiency Evaluate machine learning models and ensure they adhere to ethical standards Stay current with the latest trends and technologies in machine learning and artificial intelligence Provide technical support and guidance to the development team on machine learning-related issues Troubleshoot any issues related to the machine learning systems and conduct regular system tests to ensure their functionality and efficiency Document all procedures and systems related to the machine learning infrastructure for future reference and audits 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: 4-year bachelors degree in Computer Science / Information Technology / Computer Engineering from a recognized university or equivalent experience Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP) Proven experience as a Machine Learning Engineer or similar role in the industry Solid knowledge of GenAI models like Gemini, GPT4, and traditional machine learning models from the NLP/Deep Learning discipline Proficiency in Python development Proven excellent problem-solving and troubleshooting skills Proven ability to work collaboratively with a diverse team of engineers, architects, and developers At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves 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

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

This website uses cookies to ensure you get the best experience. Adagrad AI and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics and marketing purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , which is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. These cookies are used to make advertising messages more relevant to you. In some cases, they also deliver additional functions on the site. Decline all non-necessary cookies Field Engineer CCTV Installation As a Field Engineer at Adagrad AI, you will have the opportunity to work on exciting and challenging projects that will provide you with valuable experience and career growth opportunities. The opportunity We are looking for Field Engineer, to join our Pune office, who are curious, self-motivated, and willing to learn. You will be exposed to a range of tasks and projects, including: Reporting directly to the deployment manager and handling all the hardware and deployment related tasks in the company On-site Support: Provide on-site support to customers or clients. This may involve diagnosing and troubleshooting issues with equipment or systems, providing technical guidance, and answering customer questions. Installation and Commissioning: Carrying out complete installation of hardware on deployment locations. Hardware will include cameras, controller unit and cabling and routing. This involves understanding installation procedures, configuring equipment, and ensuring that everything is working as expected. Once installation is complete, commission the equipment or system to ensure that it meets performance specifications. Maintenance and Repairs: Responsible for providing routine maintenance and repairs for equipment and systems. This includes identifying issues before they become critical, performing regular maintenance tasks, and making repairs as needed. Documentation and Reporting: Maintain accurate documentation of all activities performed on-site. This may include maintenance reports, installation reports, and other documentation as required. Customer Service: Must have excellent customer service skills. Often being the primary point of contact for customers, you must be able to communicate effectively, provide guidance, and manage customer expectations. Safety: You must be aware of and comply with all safety protocols and procedures. This includes wearing protective equipment, following safety guidelines, and identifying potential hazards. Must also be able to travel frequently, work in different locations and environments, and adapt to changing situations. You should have a strong technical background, excellent problem-solving skills, and the ability to work independently. Procuring hardware and ensuring that it has been assembled and configured as per predefined standards. Conducting research on new hardware and testing it. Conducting training for security guards and managers. Should operate in flexible work timings as per requirements. Skills and attributes for success A bachelors degree in engineering Minimum period of prior work experience of 6 months in Hardware / Networking Knowledge of Crimping, Routing and cabling Basic knowledge of networking and router configuration Knowledge of IP cameras and their configuration and testing Excellent problem-solving skills backed by solid technical knowledge. A versatile and service-oriented mindset. Good understanding of safety guidelines. Great communication skills. Technically savvy and computer literate. Strong multitasking abilities. Analytical and critical thinking skills. Ability to work under pressure and complete tasks in a timely manner. Valid driving license and possess personal bike & helmet Ability to work independently and as part of a team. Role About Adagrad AI At Adagrad, were leveraging hardware-accelerated algorithms, enhanced Computer Vision & Deep Learning applications to develop and deploy Scalable Solutions . Be it a hypermarket or an industrial setting, we enable enterprises and establishments to harness the optimum potential of academic advancements in AI - applied to real-world situations. Already working at Adagrad AI? Let s recruit together and find your next colleague.

Role: Machine Learning and Artificial Learning expert Experience: 8 years and above Location: Pan India Job Description: 1. Design machine learning systems 2. Research and implement machine learning algorithms and tools 3. Manage and direct research and development processes to meet the needs of our AI strategy 4. Develop machine learning applications in alignment with project requirements and business goals 5. Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems 6. Select appropriate datasets and data representation methods 7. Extend existing machine learning libraries and frameworks 8. Train systems and retrain as necessary 9. Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions 10.Advise leaders on technology, strategy, and policy issues related to AI/ML Skills Required: Experience with deep learning, NLP, and TensorFlow Experience writing robust code in Python, Java, and/or R Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Knowledge of basic algorithms and object-oriented and functional design principles Knowledge of data structures, data modeling, and software architecture Knowledge of math, probability, statistics, and algorithms Knowledge of machine learning frameworks such as Keras and PyTorch Thanks & Regards, Shahid, TCS

Job Title: AI & ML Trainer (With Expertise in Generative AI & Content Creation) Location: On Site- Bangalore Job Type: Full-time Experience Level: 5+ years in AI/ML training and content development About Us MAA Academy is dedicated to upskilling professionals in cutting-edge AI & ML technologies. We believe in empowering individuals with practical, real-world knowledge and enabling them to harness AIs full potential. As we expand our offerings, we are looking for a passionate AI & ML Trainer who can design, create, and deliver impactful learning experiences in AI, ML, and Generative AI. Role Overview We are seeking an experienced and highly passionate AI & ML Trainer who is well-versed in Machine Learning (ML), Deep Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have a strong technical background, a passion for teaching and upskilling professionals and students, and the ability to design structured training programs. This role involves creating engaging course content, conducting hands-on training, and mentoring learners to enhance their AI & ML expertise. Educational Qualifications: Mandatory: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related technical fields. Preferred: Ph.D. or ongoing doctoral work in AI/ML or Data Science (especially if teaching at university level). Certifications from reputed institutions in: Machine Learning (e.g., Andrew Ngs ML course Stanford/Coursera) Deep Learning Specialization Gen AI (e.g., Prompt Engineering, GPT usage, etc.) Cloud ML Platforms (e.g., AWS ML Specialty, Google Cloud AI Engineer) Key Responsibilities 1. Training & Facilitation Deliver high-quality AI & ML training sessions (live/recorded) to professionals, and students. Conduct hands-on coding sessions using Python, TensorFlow, PyTorch, and other ML frameworks. Guide learners in building real-world AI applications and ML models. Provide one-on-one mentorship to resolve technical doubts and support learning progress. 2. Content Development & Course Design Design structured AI & ML learning programs aligned with industry trends. Develop engaging learning materials, including presentations, coding exercises, quizzes, and projects. Create video content, tutorials, and blogs on AI, ML, and Generative AI concepts. Keep course content up to date with the latest advancements in AI, including LLMs, Transformers, Diffusion Models, and AI Agents. 3. Generative AI & Advanced Technologies Teach concepts related to Generative AI (ChatGPT, DALL•E, Midjourney, Stable Diffusion, etc.). Guide learners in building AI-powered applications using APIs from OpenAI, Hugging Face, and other AI providers. Explain AI ethics, biases, and responsible AI to ensure learners apply AI solutions ethically. 4. Engagement & Professional Development Foster an interactive and engaging learning environment. Organize webinars, hackathons, and AI challenges for learners. Stay updated with emerging AI research and incorporate the latest developments into training. 5. Industry & Project-Based Learning Develop capstone projects that mirror real-world AI problems. Help learners build portfolio-worthy AI projects for career growth. Collaborate with industry partners to bring case studies and real AI applications into learning. Required Skills & Qualifications Technical Expertise Strong proficiency in Machine Learning, Deep Learning, and AI frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Hands-on experience with Generative AI models (GPT, Stable Diffusion, BERT, LLaMA, etc.). Familiarity with ML Ops, AI Deployment, and Cloud Platforms (AWS, GCP, Azure). Strong programming skills in Python (NumPy, Pandas, OpenCV, Hugging Face, LangChain, etc.). Knowledge of AI Ethics, Explainable AI (XAI), and Bias Mitigation Techniques. Training & Content Development Proven experience in designing and delivering AI/ML training programs. Ability to create high-quality AI learning content (videos, courses, assignments, projects). Experience with LMS platforms, e-learning tools, and AI-powered course creation tools. Passion for Upskilling & Teaching Strong communication and presentation skills. A growth mindset and commitment to mentoring professionals. Ability to simplify complex AI concepts for different learner levels. Preferred Qualifications (Nice-to-Have) Industry experience in AI/ML-based projects. Certifications in AI/ML (Google TensorFlow Developer, AWS ML, etc.). Experience with AI Agent frameworks, RAG models, and AI-driven automation. Familiarity with AI & ML applications in Finance, Healthcare, Retail, etc. What We Offer Opportunity to work with a cutting-edge AI learning platform. Access to the latest AI/ML research & industry collaborations. Remote-friendly work environment (if applicable). A passionate and collaborative team focused on upskilling the next-gen AI workforce. How to Apply If you are excited about teaching, AI innovation, and upskilling professionals, wed love to hear from you! Send your resume and a short cover letter to Sharmila@maa.co.in Join us in shaping the future of AI education!

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 We are looking for top notch researchers to be part of our growing Software Controls and Optimization team at GE Aerospace Research. As a group, we innovate and execute on the R&D strategy for GE Aerospace on a range of problems from building predictive/prescriptive analytics for a variety of applications that improve process efficiencies in the business, engine faults to designing inspections solutions for aircraft engines 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 Lead Research Engineer Machine Learning, you will: Work independently as well as with a diverse team to develop and apply advanced technology solutions to GE Aerospace products and services using modeling, optimization, estimation, or detection technologies, leveraging AI/ML to augment a physics-based understanding of systems. Validate performance of developed solution through simulations and application on target product to mature technology to be transferred to the GEbusiness. Document technology and results through patent applications, technical reports, andpublications. Stay current with advances in system technologies to seek out new ideas andapplications. Work in a team environment with colleagues across GE Aerospace Research, and business units. Ideal candidate: Should have experience in machine learning Required Qualifications Doctorate degree in an Engineering field with a minimum of 3 years of experience in design of estimation, controls, AI/ML, or fault detection algorithms. Or a Masters degree in an Engineering field with a minimum of 7 years of experience in AI/ML, physics-based modeling, estimation, or fault detection algorithms. Knowledge and application of data analytics, optimization, estimation, or detectionalgorithms. Proficiency in Python or Matlab and familiarity with C & C++. Demonstrated experience (algorithm development and software implementation) in developing systems solutions for complex physical systems (e.g. mechanical systems, aviation systems, power systems, etc.). Demonstrated ability to lead teams and execute on large projects. Desired Qualifications Experience with end-to-end development of digital products with exposure to problems in the aero/thermal domain. Strong analytical skills, familiarity with robust modeling/analysis techniques. Proficiency with use of NPSS for aerospace applications. Strong interpersonal skills. Self-motivated and ability to work independently and as part of a team. Experience leading teams which includes setting up schedules, milestones, technical reviews, tracking funding etc. Ability to communicate effectively with senior leadership. Demonstrated ability to take an innovative idea from a concept to a product. 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 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. #LI-DM3 Additional Information Relocation Assistance Provided: Yes