1380 Deep Learning Jobs - Page 9

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

Analyze and transform data science prototypes Develop ML applications as per requirements Run machine learning tests and experiments Perform analysis and fine-tuning of models using test results Train and retrain ML models when necessary Primary Skills Experience working on Cloud platforms, preferably AWS Proven experience as Machine Learning Engineer Experience in AWS Sagemaker Understanding of data structures, data modeling and software architecture Ability to write robust code in Python Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills

Your Role Developing and implementing advanced analytical models to derive actionable insights from large datasets. Utilizing machine learning techniques, predictive modeling, and statistical analysis to solve complex workforce-related challenges. Utilizing deep learning techniques and frameworks (e.g., TensorFlow, PyTorch) for advanced predictive analytics. Publishing articles, presenting at conferences, and participating in relevant forums (Thought Leadership). Performing natural language processing (NLP) and sentiment analysis for extracting insights from unstructured data sources. Your profile Proven experience as a Power Platform Developer with expertise in PowerApps, Power Automate, and Power BI. Strong understanding of the Microsoft Power Platform architecture and common development practices. Familiarity with Common Data Service (CDS) and Dataverse. Experience with integrating Power Platform with other Microsoft services like SharePoint and other data sources. Excellent communication skills and the ability to work in a collaborative team environment. Knowledge of Agile development methodologies. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Generative AI System Design: Architect and implement advanced generative AI models, focusing on applications such as image and text generation, content creation, and synthetic data generation. Model Development and Optimization: Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives. AI/ML Integration: Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency. Cross-functional Collaboration: Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives. Innovation Leadership: Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team. Ethical AI Implementation: Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements Your Profile Education & Experience: bachelors or masters degree in computer science, AI, Machine Learning, Data Science, or a related field, with 5+ years of experience in AI/ML, particularly with generative AI models. Technical Skills: Strong expertise in developing and deploying generative AI models. Proficiency in Python and experience with AI development libraries such as TensorFlow and PyTorch. Experience with Azure OpenAI, Open Source LLMs, and LangChain. Data Science Expertise: Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models. Techniques/Approaches: Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning. Domain Knowledge: Familiarity with NLP or computer vision related to generative AI applications. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

About the Role We are seeking a talented AI Engineer with 2-3 years of professional experience to join our growing team. As a AI Engineer, you will collaborate with data scientists, software engineers, and product teams to design, build, and deploy ML models that drive value across our organisation. This is an excellent opportunity for someone early in their ML career who wants to gain hands-on experience with real-world applications while working alongside experienced professionals. Responsibilities Implement and optimize ML algorithms and models based on requirements from data scientists and product teams Work with Large Language Models (LLMs) to develop AI-powered applications and features Design prompts, fine-tune, and evaluate LLM performance for specific use cases Build systems to integrate LLMs with existing products and services Design and develop ML/DL pipelines for data preprocessing, model training, evaluation, and deployment Experience in using RAG Collaborate with software engineers to integrate ML/DL models into production systems Monitor and maintain deployed ML/DL models, ensuring reliability and performance Participate in code reviews and contribute to engineering best practices Stay current with the latest ML/DL research and technologies, evaluating their potential application to business problems Assist in collecting and preparing datasets for model training and validation Document model architecture, data flows, and deployment procedures Strong in Machine Learning and Deep learning Basics Requirements Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related field (Master's preferred but not required) 1-2 years of professional experience building and deploying machine learning models Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn Experience with Large Language Models (LLMs), including understanding of transformer architectures, fine-tuning approaches, and prompt engineering Knowledge of NLP concepts and techniques applicable to LLMs (embeddings, tokens, context windows, etc.) Experience with data processing libraries like Pandas, NumPy, and visualization tools like Matplotlib or Seaborn Understanding of ML fundamentals, including supervised/unsupervised learning, feature engineering, and model evaluation Knowledge of software engineering best practices (version control, testing, CI/CD) Basic understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker)

Role & responsibilities Deliver lectures, tutorials, and lab sessions as per the curriculum. Design course materials, assessments, and learning outcomes. Guide student projects, internships, and research work. Participate in curriculum development and academic planning. Engage in scholarly research and publish in peer-reviewed journals. Attend departmental meetings and contribute to administrative responsibilities. Support institute-level activities including student development, events, and outreach. Maintain a professional, inclusive, and student-centered teaching environment. Preferred candidate profile ME/M.Tech/PhD

Job Description: We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and artificial intelligence. Experience with Natural Language Processing (NLP) is desirable. Experience delivering products that incorporate AI/ML, familiarity with Cloud Services such as AWS highly desirable. Key Responsibilities: Clean, prepare, and explore data to find trends and patterns Build, validate, and implement AI/ML models Extensively document all aspects of the work including data analysis, model development, results Collaborate with other team members teams to incorporate AI/ML models into software applications Stay updated with the latest advancements in AI/ML domain and incorporate into day-to-day work Required Skills/Qualifications: 3-5 years of experience in AI/ML related work Extensive experience in Python Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit- learn, Keras Experience with GenAI, LLMs, RAG architecture would be a plus Familiarity with cloud services such as AWS, Azure Familiarity with version control systems (e.g., Git), JIRA, Confluence Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro Knowledge of CI/CD pipelines and DevOps practices Experience delivering customer facing AI Solutions delivered as SaaS would be a plus Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Strong problem-solving skills and attention to detail Excellent verbal and written communication and teamwork skills Benefits: Competitive salary and benefits package Opportunity to work on cutting-edge technologies and innovative projects Collaborative and inclusive work environment Professional development and growth opportunities

Role & responsibilities Lead End-to-End ML Projects: Own the full lifecycle of ML solutions from problem scoping, data exploration, model development, deployment, and post-deployment monitoring. Own the Gen AI Strategy: Define and drive the technical vision and execution strategy for Gen AI use cases across the organization. Architect Scalable Solutions: Design robust ML systems and pipelines that integrate seamlessly into production environments. Team Leadership: Mentor and guide a team of ML engineers and data scientists, fostering a culture of technical excellence, innovation, and continuous learning. Modeling & Research: Stay up to date with the latest advancements in ML/AI and guide experimentation with novel algorithms (e.g., deep learning, NLP, GenAI, reinforcement learning). Build RAG & Prompt Engineering Pipelines: Design scalable architectures for RAG, vector search, prompt tuning, and prompt chaining with tools like LangChain, LlamaIndex, and FAISS. Stakeholder Collaboration: Work closely with product managers, engineers, and domain experts to translate business problems into technical solutions. Operationalize ML: Partner with MLOps/DevOps teams to deploy, monitor, and maintain ML models in production, ensuring reliability and scalability. Preferred candidate profile Bachelors or Master’s degree in Computer Science, Machine Learning, Data Science, or related field (PhD is a plus). 8+ years of hands-on experience in machine learning, with at least 1–2 years in a leadership or mentorship role. Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, HuggingFace Transformers, etc. Strong understanding of statistics, optimization, and model evaluation techniques. Experience with cloud platforms (AWS, GCP, or Azure) and tools like Docker, Kubernetes, MLflow, or Kubeflow. Proficiency in Python and Gen AI frameworks such as LangChain, Crew AI, or similar. Proven track record of deploying ML models into production at scale. Excellent communication and leadership skills.

Description - External 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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Lead and manage a team of data scientists, fostering a collaborative and innovative environment Oversee the design and development of predictive models and machine learning algorithms Collaborate with business stakeholders to understand and define their data needs Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner Monitor model performance and continuously improve the accuracy of predictions and insights Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making Ensure data integrity and compliance with privacy regulations 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 Role & responsibilities Required Qualifications: Bachelor of Engineering or equivalent 10+ years of total experience Coding : Python, pandas, numpy Math behind ML and DL algorithms Basics of Statistics ML and DL concepts Preferred Qualification: Exposure GenAI and LLMs Preferred candidate profile Perks and benefits

Location : JP Nagar, Bangalore Mode of work: Work from Office Experience: 6 months 1.5 years Notice period : Immediate Joiners Only Mode of Interview : Face to Face Were looking for enthusiastic AI/ML talent to work on exciting projects in Generative AI, NLP, LLMs, and Deep Learning. Strong programming skills in Python and SQL Hands-on experience with ML/DL libraries NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch Good understanding of data preprocessing, feature engineering, model training & evaluation Experience working with Django or Flask Experience with Generative AI Familiarity with Deep Learning, NLP, LLMs, Exposure to data visualization tools Matplotlib, Seaborn, Tableau, Power BI Strong problem-solving skills and attention to detail Excellent communication skills Ability to thrive both independently and in a collaborative team setting

As Lead ML Engineer , you'll lead the development of predictive models for demand forecasting, customer segmentation, and retail optimization, from feature engineering through deployment. As Lead ML Engineer, you'll lead the development of predictive models for demand forecasting, customer segmentation, and retail optimization, from feature engineering through deployment. Responsibilities: Build and deploy models for forecasting and optimization Perform time-series analysis, classification, and regression Monitor model performance and integrate feedback loops Use AWS SageMaker, MLflow, and explainability tools (e.g., SHAP or LIME)

Job Title: Data Analyst / AI & Deep Learning Location: Remote Type: Full-time Company Overview We work with organizations building advanced AI-powered solutions in areas such as real-time security, smart surveillance, and human behaviour analysis. Our clients combine technologies like computer vision, sensor fusion, and deep learning to drive innovation across embedded systems and cloud platforms. These solutions aim to make physical spaces safer, smarter, and more responsive. We're looking for early-career professionals who are eager to work with complex datasets, support machine learning workflows, and contribute to impactful, real-world AI products. Who would be a Good Fit? Candidates with strong foundation in data analysis, statistics, or machine learning fundamentals, and are passionate about turning messy, real-world data into meaningful insights. This role is perfect for someone with hands-on exposure to tools like Python and SQL, and an interest in working on next-generation AI products. Key Responsibilities Support the collection, cleaning, and preparation of datasets (image, video, sensor, time series). Assist in building and maintaining data pipelines for training and evaluating models. Perform exploratory data analysis (EDA) to uncover patterns or anomalies. Work with cross-functional teams to monitor model metrics and performance. Create visualizations and reports using tools like Seaborn, Plotly, or Tableau. Support annotation processes and help manage data quality checks. Automate routine data handling and reporting tasks using Python and SQL. Required Skills & Qualifications 1 to 3 years of experience in a Data Analysis, Data Science, or related role. Proficiency in Python, along with libraries like Pandas and NumPy. Solid understanding of data cleaning, preprocessing, and exploratory analysis. Working knowledge of SQL and experience working with relational databases. Familiarity with data visualization libraries or tools (e.g., Plotly, Tableau, PowerBI). Experience working with Jupyter or Google Colab for prototyping and analysis. Strong attention to detail and ability to follow data governance and documentation practices. Nice to Have Exposure to computer vision or sensor data projects. Experience with data labelling or annotation platforms (e.g., Label Studio, Roboflow). Familiarity with cloud platforms (e.g., AWS S3, EC2) and version control (Git).

ob Title: Python Developer Machine Learning & AI (2–3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2–3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.