217 Cnn Jobs - Page 2

As a Consultant Data Scientist on a contractual role for a duration of 6 months, you should possess a strong understanding of Data Structures and Algorithms. Your proficiency in advanced programming skills, especially in Python, is mandatory for this role. Additionally, having a working knowledge of C++ would be beneficial. Your responsibilities will include hands-on experience with AI/ML, Deep Learning (CNN, RNN), LLMs, classification, and clustering. It is essential to have a good grasp of algorithm design and development. Familiarity with reinforcement learning, computer vision, or NLP would be an advantage in this position. The ideal candidate should be open to working part-time and must be comfortable with a contractual arrangement. The budget for this role ranges from 80k to 1.3 Lacs per month. The job type is contractual/temporary, with a contract length of 6 months. In addition to the technical requirements, you should be willing to work in person at the specified work location. As a Consultant Data Scientist, you will have the benefit of a flexible schedule. If you meet these qualifications and are interested in this opportunity, please send your CV to soumojit.roy@rebaca.com. To apply for this role, please consider the following questions: - Are you willing to work as a consultant on a 6-month contract - On a scale of 1 to 10, how would you rate your proficiency in Python - What are your monthly salary expectations We look forward to receiving your application and potentially welcoming you to our team as a Consultant Data Scientist.,

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company in Vadodara, Gujarat, you will play a crucial role in the Software Development team focusing on IVA/Computer Vision. With a minimum of 2 years of experience and a degree in B.E/B.tech/M.E/ M.tech in EC, Electronics, Electronics & Telecommunication, Computer Engineering, CSE, or related fields, you will have the opportunity to work on cutting-edge projects that leverage deep learning and computer vision techniques to extract meaningful insights from video streams. Your day-to-day responsibilities will involve collaborating with cross-functional teams to design and implement algorithms using C/C++, OpenCV, and TensorFlow. You will lead and mentor a team of engineers, participate in design reviews, integrate video analytics solutions with existing systems, and execute AI algorithms using various platform-specific frameworks like TensorRT and TensorFlow Lite. Additionally, you will research new technologies and methodologies to enhance video analytics capabilities and document your work through code documentation and technical reports. The ideal candidate for this role will have a strong foundation in Deep Learning/Computer Vision projects, with expertise in neural networks, CNN, model training strategies, and deep learning frameworks such as Tensorflow, PyTorch, or Keras. Good programming skills in Python and C++, along with experience in projects like Object Detection, Motion Detection, and Face Recognition, will be beneficial. You should also possess the ability to optimize deep learning models for embedded form factors and have a thirst for continuous learning and advancement in the field. Joining our team will provide you with the opportunity to work for an Indian Tech Company that creates innovative products for a global audience. You will be part of a challenging and rewarding environment, receive a competitive salary and other benefits, and enjoy a generous leave schedule, including company-paid medical insurance for the whole family. If you are an innovative and tech-savvy individual looking to make a significant impact in the field of computer vision and AI, we encourage you to apply and be part of our dynamic team.,

Role Description 1. AI Product Strategy & Execution Define and drive the product vision, roadmap, and execution strategy for AI-powered solutions, with a focus on computer vision technologies and real-time AI models. Own key product KPIs, including model accuracy, latency, adoption rate, and computational efficiency for cloud/edge deployments. Lead the end-to-end product lifecycle, from conceptualization and prototyping to large-scale deployment. Ensure scalability, modularity, and reusability of AI & Engineering components across different use cases, by working closely with Engineering and AI scientist team . Optimize AI model performance for edge devices, low-latency processing, and cloud-scale inference. Establish robust processes for development, QA testing, and deployments within the team. 2. Product Engineering for Cloud and Edge deployments AI Product Engineering & Scalable Architecture Architect and optimize scalable AI/ML pipelines, ensuring low-latency, high-availability systems. Collaborate with AI/ML teams to integrate Computer Vision, Deep Learning, and Reinforcement Learning models into production systems. Cloud Engineering & Infrastructure Design and implement highly scalable, distributed cloud infrastructure on Cloud (AWS, Azure, or GCP) Implement containerization (Docker, Kubernetes) and microservices architecture for AI-driven applications Edge Deployment & Optimization AI model deployment on edge devices, ensuring efficiency in resource-constrained environments. 3. AI Solutioning & Technical Problem-Solving Partner with AI and engineering teams to define, train, and deploy computer vision models for real-time applications. Guide experimentation and model fine-tuning to improve object detection, tracking, segmentation, and classification tasks. Drive decisions on model architectures (CNNs, Vision Transformers, YOLO,Reinforcement learning etc.) and deployment strategies for cloud (AWS/GCP/Azure) and edge (NVIDIA Jetson, TPUs). Work with data science teams to ensure high-quality labeled datasets, model explainability, and model stability. Optimize AI pipelines for real-time inferencing, multi-camera vision processing, and computational efficiency. Balance experimentation and rapid delivery, ensuring faster time-to-market for AI innovations. Technical Skills Technical Acumen: Strong understanding of computer vision models (CNNs, Vision Transformers, YOLO, TrackNet, etc.), data pipelines, and AI/ML deployment architectures Cloud & Edge AI Deployment: Experience in deploying AI models on cloud (AWS/GCP/Azure) and edge (Jetson, FPGAs, TPUs) environments, optimizing for latency and efficiency. Strategic Thinking & Solutioning: Ability to define AI-driven solutions for complex, open-ended problems. Nice-to-have skills Stakeholder & CXO Influence: Proven ability to engage and influence senior executives, business leaders, and technical teams. Agile Product Development: Experience with JIRA, Scrum, backlog grooming, and iterative development. Excellent Communication: Ability to articulate technical AI concepts to both technical and non-technical audiences. Qualifications Experience in AI Product Management: 13-16 years in product management, with a strong track record in AI/ML-powered solutions, real-time data products, or high-tech innovations.

As a Global Data Scientist II at Worley, your main responsibility will be to understand business objectives and develop models to help achieve them. You will be utilizing existing frameworks and standards to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class. Managing the Data Science project life cycle from exploratory data analysis to productization will also be a key aspect of your role. You will collaborate with Architecture, Data Warehouse, and Data Governance teams to provide analytics as a service, mentor team members for AI/ML development, and ensure data quality through data cleaning and acquisition processes. Your role will involve defining validation strategies, preprocessing or feature engineering on datasets, data augmentation pipelines, training models, and tuning hyperparameters. You will also be responsible for analyzing model errors, designing strategies to overcome them, and deploying models to production. Development of ML algorithms to solve problems and exploring and visualizing data to gain insights will be part of your daily tasks. To succeed in this role, you should have proven experience as a Data Scientist in AI/ML or similar roles, with the ability to write robust code in Python. Experience in Generative AI components, supervised/semi-supervised and unsupervised machine learning algorithms, cognitive APIs, NLP, image processing with deep learning, and the complete AI/ML project life cycle is required. Strong knowledge of data structures, data modeling, and software architecture is essential. In addition to technical skills, you should possess outstanding analytical and problem-solving abilities, excellent communication skills, and the capacity to work independently or as part of a cross-domain team. Taking ownership of tasks and being accountable for deliverables will be crucial in this role. To qualify for this position, you should have a minimum of 4-7 years of experience as a Data Scientist on AI and ML projects and hold a Masters in information technology, Big Data, Data Science, AI, Computer Science, or a related field. At Worley, our focus is on fostering a values-inspired culture that encourages belonging, connection, and innovation. We are committed to reskilling our workforce and supporting their transition to becoming experts in low carbon energy infrastructure and technology. Join us to broaden your horizons, explore diverse opportunities, and contribute to delivering sustainable change.,

Dear Candidate, We are looking for an experienced Machine Learning Engineer to develop and deploy ML models for real-world applications. If you have expertise in Python, TensorFlow, and data science pipelines, wed love to hear from you! Key Responsibilities: Design, develop, and deploy machine learning models for predictive analytics. Work with large datasets to train and fine-tune models. Optimize model performance and scalability. Implement MLOps practices for model deployment and monitoring. Collaborate with data scientists and engineers on AI/ML projects. Required Skills & Qualifications: Strong programming skills in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Experience with deep learning, NLP, or computer vision. Knowledge of cloud-based ML services (AWS SageMaker, Azure ML, Google AI). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of MLOps and CI/CD for machine learning pipelines. Soft Skills: Strong analytical and problem-solving abilities. Ability to work with cross-functional teams. Excellent communication and presentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

As a member of our team at Softsensor.ai, you will be responsible for designing, developing, and maintaining Salesforce solutions using Apex, Visualforce, and other related technologies. Your role will involve customizing and enhancing Salesforce to align with the specific requirements of the business. Collaboration with cross-functional teams to design and implement new features will be a key aspect of your responsibilities. You will have the opportunity to work on achieving certain milestones on Trailhead related to Salesforce. Participating in code reviews to uphold high-quality standards, troubleshooting and debugging issues in existing applications, and ensuring that you are updated with the latest developments in Salesforce and related technologies will be essential parts of your daily tasks. Softsensor.ai is a USA and India-based corporation that focuses on delivering client outcomes using data-driven solutions. Our team comprises individuals with diverse expertise and experience in deploying solutions rapidly. We prioritize data science and analytics to enhance process and organizational performance, leveraging cutting-edge technologies such as NLP, CNN, and RNN in a business context. Join us at Softsensor.ai to contribute to innovative projects and work in a dynamic environment that values continuous learning and professional growth.,

Role Summary: We are looking for an accountable, multitalented candidate to facilitate the operations. The computer vision consultant must be able to develop, implement and deploy ML functions across functions. The candidate should be adept at leading and conducting independent project work using the state-of-the-art deep learning technology, as well as participate in the transfer of knowledge from research to industry. The consultant will also have to collaborate with internal team and clients, to ensure that their approach meets the needs of each project. He/she should be able to deliver results according to project schedules while maintaining quality standards. The candidate will also be responsible to contribute towards organizational initiatives. Job Requirement Job Responsibilities: 1. Substantial hands-on experience with data handling. Capable of managing large volumes of data, extract, clean and comprehend 2. Able to analyze data independently and draw out salient insights. Able to define workflow for oneself and associates on a daily or periodic basis, contingent on the requirements of the project 3. Able to contribute meaningfully to brainstorming discussions around nuances of the project 4. Skilled in CNN or RNN or Feed Forward/ Back Propagation Network and Hyperparameter Tuning 5. Good Knowledge on Natural Knowledge Processing, Verbatim Analysis & Speech to Text / vice versa using few alternate approaches / techniques 6. Comfortable with statistical procedures, such as basic distributions, regressions, logistic models 7. Experience with advanced statistics and Machine Learning algorithms is a plus 8. Developing comprehensible analytical solutions to solve business problems using domain knowledge or 9. statistical procedures depending on the requirements of the project 10. Comfortable in representing the proceedings and/or findings in a power-point 11. Comfortable in mentoring junior resources, and creating an environment of learning in the team 12. Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case Studies 13. Develop and define an area of expertise and take relevant trainings on the same for the organization 14. Contribute to org level activities, such as taking interviews 15. Work with team to estimate work effort 16. Understand the work methodology and be an active participant in strengthening the team 17. Liaising with coworkers and clients on several projects 18. Commitment to learning and continuous improvement 19. The candidate should be able to work under tight timelines with minimal supervision

The Data Science and AI/ML team collaborates across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions that improve patient outcomes, delight partners and customers, and enhance business operations in an AI First fashion. The team works on projects ranging from building sophisticated models to delivering personalized recommendations to patients, analyzing sleep data to optimize equipment and settings, proactively identifying health risk factors, and optimizing global supply chain operations. As a Sr. Machine Learning Engineer, you will play a crucial role in contributing to and leading the development of ML architecture and operations. Your responsibilities include optimizing time to market and quality of AI/ML applications by working on projects within the AI operations team. You will ensure that global AI/ML systems are production-grade, scalable, and utilize cutting-edge technology and methodology. Additionally, you will collaborate with stakeholders, mentor junior team members, and engage with business stakeholders. Key Responsibilities: - Collaborate with Product Management, Engineering, and other stakeholders to create impactful AI/ML features and products. - Work closely with Data Scientists and Data Engineers to own the end-to-end process, train junior team members, and maintain AI/ML architectures. - Document model design, experiments, tests, and outcomes, and stay informed of industry trends. - Implement process improvements, build production-level AI/ML systems, and support technical issues for stakeholders. - Participate in Code Review and handle escalated incidents to resolution. Requirements: - 4+ years of industry experience in Machine Learning Engineering, Data Science, or Data Engineering. - M.S or PhD in Data Science/Machine Learning or related areas. - Proficiency in data analytics systems development, model building, and online deployment. - Experience in building scalable AI/ML systems for various advanced problems. - Hands-on experience with large datasets, Python, and cloud-based tools. - Strong mathematical foundation and knowledge of machine learning techniques. Joining the team means more than just a job it's an opportunity to be part of a culture that values excellence, diversity, and innovation. If you are looking for a challenging and supportive environment where your ideas are encouraged, apply now to be a part of our team dedicated to making the world a healthier place. We are committed to reviewing every application we receive.,

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: Qualcomms Audio Systems team is seeking a talented and highly motivated engineer specialized in the implementation of Voice AI and Audio solutions. You will work with a team to prototype, optimize, and productize state-of-the-art ML models, ensuring efficient deployment on snapdragon platforms Responsibilities: - Develop, optimize, and deploy Voice AI and audio ML models for audio applications, with a focus on inference efficiency across NPUs, GPUs, and CPUs. - Perform model evaluation, quantization, and compression to enable fast, robust inference on embedded hardware. - Analyze and compare model architectures (such as Diffusion Models, U-Nets, Transformers, BERT, BART, etc.) for use in audio applications. - Collaborate with cross-functional R&D, systems, and integration teams for system use case verification and commercialization support. - Contribute to the design and software implementation of audio ML models in embedded C/C++ and Python. - Evaluate system performance, debug, and optimize for performance and robustness. - Participate in industry trends, benchmarking and performance analysis of various Model architecture, and bring up-to-date architectural or technical innovations to the team. Requirements: - Strong programming skills in C/C++, Python. - Experience with audio processing and embedded solutions. - Hands-on experience working with audio framework and audio solutions on any platform - Familiarity with ML frameworks (PyTorch, TensorFlow, ONNX, etc.). - Knowledge of model quantization and compression techniques, and experience optimizing inference and deployment on embedded hardware. - Strong understanding of ML model architectures such as, CNNs, RNNs, Transformers, U-Nets, and statistical modeling techniques. - Understanding of DSP or Microcontroller architectures and frameworks - Experience developing and debugging software on embedded platforms; familiarity with software design patterns, multi-threaded programming (e.g., POSIX, PTHREADS), and fixed-point coding. - Excellent verbal and written communication skills; ability to work independently and as a team player in geographically dispersed, multidisciplinary teams. - Proven ability to work in a dynamic, multi-tasked environment "” quick learner, self-motivated, and results-driven. Minimum Qualifications: Bachelors, Masters or PhD in Computer Science, Electronics and Communication, Electrical Engineering, or a related field (or equivalent work experience). Preferred Qualifications: - Experience working with Qualcomm AI HW accelerators (NPUs) and Qualcomm SDKs - Knowledge of Qualcomm Audio framework, platforms and tools Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title - S&C Global Network - AI - CMT ML Ops Ass Manager Management Level:8- Associate Manager Location:Open Must-have skills: AI Architecture/ Gen AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. AI Architecture strategy and Assessment: Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives. Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation. Operating Model Design: Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact. Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows. Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points. Ensure blueprints adhere to industry best practices and standards. Roadmap Building: Create strategic roadmaps for the implementation and evolution of Generative AI solutions. Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives. Incubating GenAI Solutions: Identify emerging trends and technologies in Generative AI and incubate innovative solutions. Work closely with research and development teams to experiment and prototype new Generative AI concepts. Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment. Provide technical leadership and guidance throughout the implementation lifecycle. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Proven track record of designing and implementing successful AI solutions in real-world business environments. In-depth knowledge of AI architectures, frameworks, and tools. Strong analytical and problem-solving skills. Excellent communication and collaboration abilities, with experience working cross-functionally. Demonstrated leadership in driving AI initiatives from conception to deployment. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras. Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs. Good software engineering practices, including code modularization, documentation, and testing Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models. If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 6+ years Educational Qualification: Btech/ BE

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with generative AI models and may also explore various advanced technologies such as deep learning, neural networks, chatbots, and image processing to enhance the functionality and efficiency of the systems you create. Collaboration with cross-functional teams will be essential to ensure that the solutions are robust and scalable, addressing the needs of diverse stakeholders. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to drive efficiency and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Experience with cloud-based AI services and deployment strategies.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions that meet production standards. Additional Information:- The candidate should have minimum 12 years of experience in Large Language Models.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title - S&C Global Network - AI - Retail - AI/Gen AI Manager Management Level:07 - Manager Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: Strong understanding of retail industry Excellent communication skills with the ability to translate complex technical concepts into actionable business insights. Experience managing cross-functional teams and delivering AI solutions in a fast-paced environment. Experience in handling large datasets from different sources (e.g., transactional data, customer data, social media data) and data preprocessing techniques. Expertise in supervised and unsupervised learning algorithms Proficiency in deep learning frameworks like TensorFlow or PyTorch Ability to implement NLP techniques for chatbots, recommendation systems, sentiment analysis, and personalized search. Good to have skills: Familiarity with SQL, NoSQL databases, and big data technologies like Spark for handling large-scale data. Familiarity with transformer-based models such as BERT, GPT, and T5 for understanding and generating human language. Experience with Generative Pre-trained Transformers (GPT) Experience with Data Visualization Tools Job Summary : We are seeking a dynamic and experienced AI / GenAI Retail Specialist (Manager level) to lead the development and implementation of artificial intelligence solutions across our retail operations. This role requires a strong blend of technical expertise, domain knowledge in the retail sector, and leadership capabilities to drive impactful AI and GenAI initiatives. Your expertise in AI will drive the development of cutting-edge solutions that enhance retail performance across various domains, including merchandising, pricing, customer engagement, and product assortment. Roles & Responsibilities: Leverage Retail Knowledge:Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs. Supervise teams in building, validating, and deploying ML/DL models using frameworks such as TensorFlow, PyTorch, and Hugging Face. Develop and oversee the implementation of GenAI-powered tools Design, develop, and implement AI algorithms (machine learning, deep learning, etc.) and generative models (e.g., GPT, GANs) tailored to the retail sector. Focus on the creation of AI models that can help in wide range of use cases across customer lifecycle, personalized customer experiences, optimize pricing, and product assortment. Translate data insights into actionable strategies for marketing, merchandising, and customer experience teams. For example, identifying cross-selling opportunities or optimizing product assortments. Work closely with cross-functional teams (e.g., product, marketing, business development) to understand the retail business challenges and translate them into AI-driven solutions. Communicate the potential of AI solutions to both technical and non-technical stakeholders, ensuring alignment between technical capabilities and business objectives. Professional & Technical Skills : Proven experience with supervised and unsupervised learning, deep learning, and generative AI models (e.g., LLMs, transformers). Expertise in machine learning, natural language processing (NLP), and generative AI models. Experience with platforms like TensorFlow, PyTorch, and OpenAI technologies. Knowledge of AI ethics and responsible AI practices. Hands-on experience with cloud platforms (AWS, GCP, Azure) and modern MLOps practices. Additional Information: About Our Company | AccentureQualification Experience: 610 years of relevant experience in data science, machine learning, or AI, with at least 2+ years in a leadership or managerial role. Educational Qualification: Msc. Statistics, B.Tech. / M.Tech Computer Science, Econometrics, Data Science Retail tech experience in e-commerce, fashion, grocery, or quick-commerce segments. Knowledge of ethical AI practices and responsible AI governance. Experience working with APIs of commercial LLMs (e.g., OpenAI, Cohere, Anthropic).

As a motivated and highly skilled Data Scientist joining the Flight Safety team, your role will be crucial in utilizing advanced analytics and machine learning techniques to drive safety-related decisions and enhance operational processes. You will primarily focus on analyzing time-series and multivariate data to detect anomalies, identify patterns, and create predictive models that contribute to improving flight safety and minimizing risks. Your responsibilities will include conducting exploratory data analysis to reveal insights from complex datasets, applying advanced anomaly detection techniques to spot irregularities and potential safety risks, and developing machine learning and deep learning models like ANN, RNN, and CNN for predictive safety analytics. Using big data analytics tools and AI/ML frameworks, you will support data-driven decision-making within the field of flight safety. Additionally, you will design custom algorithms tailored to meet specific domain requirements with precision and reliability, and write efficient, maintainable code in Python and MATLAB for data processing, modeling, and algorithm deployment. Collaboration with cross-functional teams will be essential in translating analytical findings into actionable safety initiatives. To qualify for this role, you should hold a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with certification in Data Science. With a minimum of 6 years of practical experience in data science, machine learning, or analytics roles, you should have a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics. Proficiency in data analysis, exploratory data analysis, anomaly detection (time-series & multivariate data), machine learning, deep learning, big data analytics, and AI-driven risk forecasting is crucial. Strong programming skills in Python and MATLAB, coupled with expertise in custom algorithm design, data collection, preprocessing, and integration, are also required. By joining our team, you will have the opportunity to contribute to cutting-edge data science projects in the aviation safety sector, work in a collaborative and innovation-oriented environment, and be part of a mission-critical team dedicated to predictive safety and operational excellence. This is a full-time, permanent position with benefits including cell phone reimbursement, provided food, health insurance, paid sick time, paid time off, provident fund, and the option to work from home. The work schedule is during the day, and the work location is in person.,

As a Salesforce Developer at Softsensor.ai, you will be responsible for designing, developing, and maintaining Salesforce solutions using Apex, Visualforce, and other related technologies. Your primary focus will be on customizing and enhancing Salesforce to align with the specific business requirements. You will collaborate with cross-functional teams to design and implement new features to drive business growth. Your key responsibilities will include working on Salesforce projects to earn points on Trailhead, participating in code reviews to ensure high-quality standards, and troubleshooting and debugging issues in existing applications. It is essential to stay updated with the latest developments in Salesforce and related technologies to leverage innovative solutions effectively. Softsensor.ai is a USA and India-based corporation specializing in data-driven outcomes for clients. Our team comprises seasoned professionals with a wealth of experience in leading global consulting firms and corporations. We are dedicated to utilizing data science and analytics to enhance organizational performance. We are at the forefront of cutting-edge technologies such as NLP, CNN, and RNN, applying them in a business context to drive innovation and efficiency.,

You are seeking a motivated and highly skilled Data Scientist to join the Flight Safety team in Gurgaon. Your role will involve leveraging advanced analytics and machine learning to drive safety-related decisions and enhance operational processes. As a critical member of the team, you will work with time-series and multivariate data to detect anomalies, identify patterns, and develop predictive models that enhance flight safety and risk mitigation. Your responsibilities will include performing exploratory data analysis to reveal insights from complex datasets, applying advanced anomaly detection techniques on time-series and multivariate data, and developing machine learning and deep learning models for predictive safety analytics. You will also be utilizing big data analytics tools and AI/ML frameworks to support data-driven decision-making in flight safety, designing custom algorithms for domain-specific requirements, and writing efficient code using Python and MATLAB for data processing and modeling. To qualify for this role, you should hold a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with a certification in Data Science. Additionally, you should have a minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles, with a proven track record in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key skills required for this position include data analysis, exploratory data analysis, anomaly detection on time-series and multivariate data, machine learning, deep learning, big data analytics, AI-driven risk forecasting, programming skills in Python and MATLAB, custom algorithm design, data collection, preprocessing, and integration. By joining this team, you will have the opportunity to contribute to cutting-edge data science initiatives in aviation safety, work in a collaborative and innovation-driven environment, and be part of a mission-critical team focused on predictive safety and operational excellence.,

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will develop applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work on various projects that may include deep learning, neural networks, chatbots, and image processing, collaborating with cross-functional teams to deliver innovative solutions that enhance user experiences and operational efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to implement and optimize algorithms for various AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services, particularly in deploying AI solutions.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable machine learning models. Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Roles and Responsibilities 1. Model Development & Deployment Design, develop, and optimize machine learning and deep learning models for real-world applications (classification, regression, NLP, vision, recommendation systems, etc.). Train models using large datasets and evaluate their performance using appropriate metrics. Deploy models to production using tools like Flask/FastAPI, Docker, and cloud services (AWS/GCP/Azure). 2. Data Collection & Preprocessing Collect, clean, transform, and manage structured and unstructured datasets (CSV, JSON, images, text, etc.). Perform data wrangling, feature engineering, and exploratory data analysis (EDA). 3. Algorithm Research & Implementation Research and implement AI/ML algorithms suited to business use cases. Leverage existing libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face) and fine-tune pre-trained models when applicable. 4. NLP & Computer Vision (As per domain focus) For NLP: Build and integrate models for sentiment analysis, chatbots, text summarization, translation, and entity recognition. For Vision: Apply techniques for object detection, image classification, OCR, face recognition, etc. 5. API & Application Integration Create and manage APIs to expose AI model functionalities to frontend/backend systems. Integrate models into enterprise applications, dashboards, or web platforms. 6. Model Monitoring & Maintenance Monitor model performance over time, handle concept drift, and retrain models as needed. Maintain and document ML pipelines, model versions, and deployment logs. 7. Collaboration & Agile Participation Work in cross-functional teams with data engineers, frontend/backend developers, and product owners. Participate in Agile ceremonies like standups, sprint planning, and demos.

Job Title:AI EngineerExperience2-4 YearsLocation:Remote :Responsibilities:1. Model Development:- Design and implement state-of-the-art AI models, particularly focusing on NLP tasks, using frameworks such as PyTorch, Tensorflow, Scikit-Learn.- Fine-tune and adapt pre-trained models to specific applications and domains.- At least 1 Year of Experience in working with Gen AI, LLM's, Prompt Engineering, Fine tuning LLM's.- Must have experience and contribution in developing custom models, Large language models, fine tuning LLM's and must have open source contributions.2. Data Processing and Analysis:- Preprocess and analyze large datasets to ensure high-quality input for training AI models.- Collaborate with data engineers to build efficient pipelines for handling linguistic data.3. Algorithmic Development:- Develop algorithms for various NLP tasks, including text classification, sentiment analysis, named entity recognition, and language generation.- Experiment with different machine learning techniques to enhance model performance.4. Evaluation and Optimization:- Implement robust evaluation metrics to assess the effectiveness of AI models.- Optimize models for speed, memory usage, and scalability, ensuring efficient deployment in real-world applications.5. Collaboration:- Collaborate with cross-functional teams, including software engineers, data scientists, and domain experts.- Work closely with researchers to integrate cutting-edge AI advancements into practical solutions.6. Documentation and Communication:- Maintain clear documentation for code, models, and processes.- Communicate findings and updates to both technical and non-technical stakeholders.Qualifications:- Bachelor's in Computer Science, Artificial Intelligence, or a related field.- Proficient programming skills in languages like Python- Strong expertise in deep learning frameworks- WatsonX Experience is a plus- Solid understanding of machine learning principles, especially in the context of language models.- Experience with large-scale data processing and distributed computing.- Excellent problem-solving skills and the ability to work collaboratively in a team environment.

Open & Direct Walk-in Drive event | Hexaware technologies, Gen AI Specialist/Data Scientist AI/ML with GEN AI in Bangalore, Karnataka on 19th March [Saturday] 2025 NLP, Python, ML, GEN AI, Deep Learning, Chat GPT Dear Candidate, I hope this email finds you well. We are thrilled to announce an exciting opportunity for talented professionals like yourself to join our team as a Data Scientist AI/ML with GEN AI OR GEN AI Specialist We are hosting an Open Walk-in Drive in Bangalore, Karnataka on 19th March [Saturday] 2025 , and we believe your skills in GenAI Specialist/Data Scientist AI/ML with GEN AI align perfectly with what we are seeking. Details of the Walk-in Drive: Date: 19th March [Saturday] 2025Experience 5 year to 12 years Time: 9.30 AM to 4PM Point of Contact: Azhagu Kumaran Mohan/+91-9789518386 Venue: Hexaware Technologies Ltd, Shantiniketan, 11th Floor, Crescent - 2 Prestige, Whitefield Main Rd, Mahadevapura, Bengaluru, Karnataka 560048 Work Location: Open (Noida/Bangalore/ Pune/ Mumbai/ Dehradun/ Chennai/ Coimbatore) Key Skills and Experience: As a GenAI Specialist AI/ML with GEN AI, we are looking for candidates who possess expertise in the following: ML, ML OPS NLP, Deep Learning GEN AI, Open AI, Azure ML, Prompt Engineering, Agenting frameworks Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face Roles and Responsibilities: As a part of our dynamic team, you will be responsible for: 4 -12 relevant years of experience in Python, NLP, Machine Learning and Deep learning Minimum 1 year of working experience on Gen AI (ChatGPT, LLAMA 2, etc), Vector databases, Lang Chain, Llama Index, Data pipelines, Data Analytics, PyTorch, Hugging Face, MLOps Experience in LLMs fine tuning and deployment Nice to have: Familiarity with server-side templating languages including Jinja 2 and Mako REST API, Flask API, Fast API, Django or Pyramid framework Knowledge of NER and graphs What to Bring: Updated resume Photo ID, Passport size photo How to Register: To express your interest and confirm your participation, please reply to this email with your updated resume attached. Walk-ins are also welcome on the day of the event. This is an excellent opportunity to showcase your skills, network with industry professionals, and explore the exciting possibilities that await you at Hexaware Technologies. If you have any questions or require further information, please feel free to reach out to me at AzhaguK@hexaware.com - +91-9789518386 We look forward to meeting you and exploring the potential of having you as a valuable member of our team.

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 Understand client business requirement and provide suitable approach to solve the business problem in different domains. Develop strategies to solve problems in logical yet creative ways Helping & Managing teams of data scientist and produce project deliverables Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with Analytics-Delivery procedures using detailed documentations. Create custom reports and presentations accompanied by strong data visualization and storytelling Present analytical conclusions to senior officials in a company and other stakeholders Your Profile Education Engineering graduates (B.E/ B.Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications). Minimum 4 years relevant experience Experience in data management and visualization task Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding / hand-on experience in NLP and computer vision. Good understanding / hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc.). Knowledge/ Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc Knowledge/ hand-on experience on deployment of model in production & deployment. Hands on experience in GenAI. 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.

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 Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years ofCPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years experience deploying digital and data science solutions on large scale project is required At least 7 years experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive 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.

Job Title:Artificial Intelligence EngineerExperience8-12 YearsLocation:Bangalore : Algorithm Development**Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence processes. Model Creation**Develop and validate algorithms, neural networks, and other machine learning models. Generative AI**Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music. Machine Learning**Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation. Natural Language Processing (NLP)**Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT. Data Management**Handle data pre-processing, augmentation, and synthetic data generation. Qualifications To excel in this role, you should possess the following skills: Hard Skills1. **Advanced Programming**Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras.2. **Generative Models**Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).3. **NLP**Familiarity with NLP techniques for text generation.4. **Data Management**Knowledge of data pre-processing, augmentation, and synthetic data generation.Soft Skills1. **Creativity**Ability to think creatively and solve complex, creative challenges using AI.2. **Collaboration**Work effectively with researchers, engineers, and other team members.3. **Continuous Learning**Stay updated with evolving AI technologies and applications.Qualifications- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields.- Proven experience in machine learning, generative AI,

As a Data Scientist at our company located in Gurgaon, you will be an integral part of the Flight Safety team. Your primary responsibility will be to leverage advanced analytics and machine learning techniques to enhance safety-related decisions and optimize operational processes. By working extensively with time-series and multivariate data, you will identify anomalies, uncover patterns, and develop predictive models that are essential for improving flight safety and risk mitigation. Your key responsibilities will include performing exploratory data analysis to extract valuable insights from complex datasets, applying advanced anomaly detection techniques to identify safety risks, and developing machine learning models like ANN, RNN, and CNN for predictive safety analytics. You will also be involved in utilizing big data analytics tools, designing custom algorithms, and writing efficient code using Python and MATLAB for data processing and modeling. To qualify for this role, you should possess a Bachelor's degree in Engineering with a specialization in Data Science or a related field, along with certification in Data Science. Additionally, a minimum of 6 years of hands-on experience in data science, machine learning, or analytics roles is required, with a proven track record in developing AI/ML models, especially in anomaly detection and predictive analytics. Your key skills should include expertise in Data Analysis, Anomaly Detection, Machine Learning & Deep Learning, Big Data Analytics, Python, MATLAB, Custom Algorithm Design, and Data Collection & Preprocessing. By joining our team, you will have the opportunity to contribute to cutting-edge data science projects in aviation safety, work in a collaborative environment, and be part of a team focused on predictive safety and operational excellence.,

Education: Bachelors Field: Information Technology, Data Management, Data Analytics, Business, Supply Chain, Operations Experience: Type: Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field Number of Years: 5+ years in relevant roles Other: At least five years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization Proven experience in conducting statistical analysis and building models with advanced scripting languages Experience leading projects that apply ML and data science to business functions Specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning, is preferred Skills: (Describe any special skill and/or competency requirements applicable to this position.) Fluency in multiple programming languages and statistical analysis tools such as Python, PySpark, C++, JavaScript, R, SAS, Excel, SQL Knowledge of distributed data/computing tools such as MapReduce, Hadoop, Hive, or Kafka Knowledge of statistical and data mining techniques such as generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN) Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models Willingness and ability to learn new technologies on the job Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding Ability to work in diverse, cross-functional teams in a dynamic business environment Superior presentation skills, including storytelling and other techniques to guide and inspire Familiarity with big data, versioning, and cloud technologies such as Apache Spark, Azure Data Lake Storage, Git, Jupyter Notebooks, Azure Machine Learning, and Azure Databricks. Familiarity with data visualization tools (Power BI experience preferred). Knowledge of database systems and SQL. Strong communication and collaboration abilities.