9814 Tensorflow Jobs - Page 34

As a technical leader on high-impact projects, you will be responsible for providing guidance and coaching to a distributed team of engineers. Your role will involve ensuring alignment and clarity across teams regarding goals, outcomes, and timelines. You will play a crucial part in managing project priorities, deadlines, and deliverables effectively. Your main focus will be on designing, developing, testing, deploying, maintaining, and enhancing large-scale software solutions. Collaboration with Research teams and ML practitioners will be essential for identifying, building, and iterating on engineering tools, processing pipelines, data optimization techniques, integration with existing workflows, and user interfaces. Additionally, you will be instrumental in supporting user adoption of these solutions. To be successful in this role, you should hold a Bachelor's degree or equivalent practical experience. You are expected to have 8 years of experience in software development, with a strong background in data structures and algorithms. Moreover, you should possess 5 years of experience in testing, launching software products, and 3 years of experience in software design and architecture. Proficiency in front-end frameworks, full-stack development, or API development is required. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing, or other ML disciplines will be advantageous. Familiarity with Generative AI, such as Large Language Models, Multi-Modal, and Large Vision Models, is a plus. Preferred qualifications include a Master's degree or PhD in Engineering, Computer Science, or a related technical field. Additionally, having 3 years of experience in a technical leadership role, leading project teams, and setting technical direction is desirable. Experience in working in a complex, matrixed organization involving cross-functional or cross-business projects will also be beneficial for this role.,

As a highly experienced Mid-Senior Level Data Scientist with 10-15 years of experience in the banking sector, you will be responsible for leading strategic data analysis initiatives to generate critical insights and trends. Your expertise in developing and deploying advanced predictive models using statistical and machine learning techniques will drive business outcomes and innovation. Additionally, you will be instrumental in implementing data governance frameworks, evaluating cutting-edge technologies, and fostering cross-functional collaboration to align data-driven strategies with organizational goals. Your key responsibilities will include: - Leading strategic data analysis projects on large datasets to identify trends and anomalies crucial for banking operations. - Designing, developing, and deploying advanced predictive models to enhance business outcomes and drive innovation. - Developing and implementing data governance frameworks to ensure data quality, integrity, and compliance with regulatory standards. - Evaluating and implementing innovative technologies to improve data analytics capabilities and support business growth. - Collaborating with various departments to execute data-driven strategies and initiatives. - Mentoring and guiding junior data scientists and analysts to foster continuous learning and innovation. - Preparing and delivering detailed reports and presentations to senior management and stakeholders. - Keeping abreast of industry trends and emerging technologies to enhance analytical capabilities and drive business value. The qualifications required for this role include: - A Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; a Master's or PhD degree is preferred. - 10-15 years of hands-on experience in data science, with a significant portion in the banking or financial services industry. - Proficiency in programming languages such as Python, R, or SQL, and experience with data visualization tools like Tableau, Power BI, or Matplotlib. - Expertise in machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. - Strong understanding of database management systems, data warehousing solutions, and big data technologies. - Superior analytical and problem-solving skills with the ability to interpret complex data and draw actionable insights. - Exceptional written and verbal communication skills to effectively present technical information to non-technical stakeholders and executive leadership. Preferred qualifications for this role include comprehensive domain knowledge of banking processes, relevant certifications, project management experience, and strong soft skills such as strategic thinking and attention to detail.,

As a Machine Learning Engineer at Aera Technology, you will play a crucial role in designing, implementing, monitoring, and maintaining the machine learning systems that power our Aera Decision Cloud platform. Your responsibilities will involve working on new and challenging engineering problems to operationalize data science, collaborating closely with experts in Data Science, Engineering, and DevOps teams, and designing state-of-the-art Machine Learning approaches. Your main tasks will include building core machine learning infrastructure, such as distributed systems, development tools, model serving, and inference pipelines. Additionally, you will take end-to-end ownership of developing Machine Learning systems from data pipelines to training, hosting, and inference pipelines. It is essential to have strong programming skills in languages like C++, Go, Java, and Python, along with experience in working with large data sets and pipelines using frameworks like Dask and Ray. Ideally, you should possess a B.E./B.Tech M.E/M.Tech/M.S in Computer Science or Computer Engineering, along with 3-8 years of experience in software engineering and architecture. Having at least 2 years of experience in designing and deploying Machine Learning Systems and familiarity with libraries like Scikit-learn, Pandas, PyTorch, Tensorflow, and Keras will be beneficial for this role. Experience in building containerized applications using Docker and Kubernetes, Agile Methodology, GITOps, and Jira is also desired. In our dynamic environment, hosted on AWS/Azure/GCP with Kubernetes infrastructure, you will have the opportunity to contribute to the transformation of decision-making processes for enterprises worldwide. If you are passionate about creating a sustainable, intelligent, and efficient world, Aera Technology is the right place for you. Join our diverse teams across different global locations and be a part of our journey to revolutionize decision intelligence. At Aera Technology, we value our team members and offer a range of benefits to support them and their families at various life stages. In addition to a competitive salary and company stock options, we provide comprehensive medical insurance, term insurance, accidental insurance, paid time off, maternity leave, and more. We prioritize professional and personal development by offering unlimited access to online courses and people manager development programs. Our flexible working environment promotes a healthy work-life balance, and our office facilities include a fully-stocked kitchen with snacks and beverages to keep you refreshed throughout the day.,

As an Intern Computer Vision Engineer - Data Scientist at Neuronest AI Pvt Ltd in Coimbatore, your role will involve working on day-to-day tasks related to computer vision, data science, and machine learning. Your key responsibilities will include developing and implementing computer vision algorithms such as object detection, tracking, and segmentation in video surveillance systems. You will also apply traditional image processing techniques like filtering, edge detection, and morphological operations to enhance video analysis. Writing and maintaining scalable code in Python and C++ for real-time video data processing and complex analyses will be crucial. You will integrate algorithms into video surveillance systems, conduct testing for reliability, collaborate with cross-functional teams, and document processes for future development. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related fields, along with at least 1 year of experience in developing computer vision applications with a focus on object detection, tracking, and segmentation. Proficiency in computer vision techniques, deep learning-based methods, Python, and C++ using libraries like OpenCV, TensorFlow, or PyTorch is essential. Knowledge of video surveillance systems, real-time video processing, and familiarity with FFmpeg, Gstreamer, basic networking protocols, cloud platforms, and distributed systems will be advantageous. In addition to technical skills, soft skills like strong problem-solving, analytical abilities, independence in work, and efficient task management are valuable attributes for this role. Staying updated with advancements in computer vision and proposing innovative solutions to enhance system capabilities will be encouraged.,

Job Description: We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges. Key Responsibilities: Design, develop, and deploy scalable machine learning models and AI solutions. Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions. Analyse and preprocess large datasets for training and testing ML models. Experiment with different ML algorithms and techniques to improve model performance. Skills & Qualifications: Experience: B.Tech with 2-5 years of relevant experience in Machine Learning, AI, or Data Science roles. OR M.Tech, M. Statistics with 2-4 years of relevant experiencein Machine Learning, AI, or Data Science roles. Education: Bachelor's/master's degree in computer science or Statistics or any other relevant engineering / AI course from a Tier 1 or Tier 2 college. Technical Skills: Proficiency in programming languages such asPython & R Strong knowledge of classicalmachine learning algorithms with hands on experience in the following: Supervised (Classification model, regressions models) Unsupervised, (Clustering Algorithms, Autoencoders) Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost) Experience in data preprocessing, feature engineering, and handling large-scale datasets. Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression. Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots. Experience withML frameworkslikeTensorFlow, PyTorch, Scikit-learn,orKeras. Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc. Knowledge ofcloud platformslike Azure (preferred), AWS, GCP and experience deploying models in such environments -> changed the wording, added points. Nice to Have: Object Oriented Programming. Familiarity withNLP, ortime seriesanalysis. -> Moving this into Nice to have, not bare min Exposure todeep learningmodels (RNN, LSTM) and working with GPUs.

You are a Computer Vision/ML Engineer who will be a valuable addition to our team dedicated to solving machine vision problems. In this role, you will be responsible for developing and implementing state-of-the-art computer vision algorithms to ensure top-notch quality standards for our products. Your primary responsibilities will include: - Developing and implementing computer vision and machine learning algorithms for detecting and classifying defects in manufacturing facilities. - Preprocessing and augmenting project datasets to enhance model performance. - Staying updated with the latest research and advancements in computer vision and machine learning specifically related to defect detection and classification. - Optimizing existing computer vision models for improved accuracy and efficiency in classification. - Conducting experiments to evaluate model performance using relevant metrics and benchmarks. - Researching and innovating solutions to tackle challenges in defect detection and classification. - Collaborating closely with software engineers to integrate models into final production systems. To excel in this role, you should possess the following qualifications: - A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 3-4 years of professional experience in computer vision and machine learning, focusing on object detection and classification. - Profound knowledge of computer vision basics, including image preprocessing, feature extraction, object detection, and image segmentation. - Proficiency in Python programming. - Experience with deep learning frameworks like TensorFlow or PyTorch. - Familiarity with data augmentation techniques, filtering, and contour extraction. - Understanding of cutting-edge computer vision models and techniques applicable to defect detection and classification tasks. - Strong problem-solving abilities and the capacity to work both independently and collaboratively. - Excellent communication and collaboration skills. Preferred qualifications include: - Experience in quality control or inspection projects within manufacturing environments. - Knowledge of industrial imaging systems and techniques. - Understanding of parallel computing and GPU optimization for accelerated model training and inference. Joining our team offers you numerous benefits, such as: - Opportunity to shape your career path independently. - Exposure to a diverse consulting environment working with Fortune 500 companies and startups. - A dynamic yet supportive work atmosphere that fosters personal growth. - Involvement in a close-knit community that extends beyond work, including sports, social gatherings, and shared interests. - Being part of the exciting growth journey at Thoucentric. If you are passionate about computer vision and machine learning, and eager to contribute to cutting-edge projects in a supportive and collaborative environment, we encourage you to apply and become part of our team at Thoucentric.,

As a seasoned fullstack developer, you will be responsible for leading the development of various products while leveraging your expertise in AI/ML and market & website analytics. Your role will be pivotal in the creation of intelligent platforms and driving data-informed decisions. You will lead the fullstack development of products, with a preference for utilizing technologies such as Node.js, React/Angular, and MongoDB/PostgreSQL. Additionally, your role will involve building and integrating AI-powered features like NLP, predictive analytics, and recommendation systems. Analyzing data from tools like Google Analytics, Mixpanel, and Amplitude will be crucial, along with developing dashboards and data visualizations to support marketing and product teams. Collaboration with designers, data engineers, and product managers will be essential to align technological developments with business strategies. You will take ownership of product performance and conversion metrics, conducting regular audits and implementing improvements based on evaluations of user behavior, funnels, and attribution data. To excel in this role, you must possess strong fullstack capabilities including JavaScript, Node.js, React/Angular, APIs, and databases. Practical experience in AI/ML frameworks such as Python, TensorFlow, and Hugging Face, along with proficiency in website analytics, user behavior tracking, and A/B testing, are required. Experience in building or integrating marketing analytics systems and the ability to generate meaningful insights from data for stakeholders are crucial aspects of this position. Knowledge of SEO, CRO, and performance optimization best practices will also be beneficial. In summary, this role offers an exciting opportunity for a skilled fullstack developer to contribute to the development of intelligent platforms, drive data-informed decisions, and collaborate with cross-functional teams to ensure alignment with business objectives.,

As a Data Science/Computer Vision Intern at SigTuple, a dynamic and innovative healthcare company specializing in Digital Microscopy, you will have the opportunity to work on cutting-edge projects and collaborate with talented professionals in a fast-paced environment. We are seeking a highly motivated and talented individual to join our team for a six-month internship. Your primary responsibilities will include assisting in collecting, preprocessing, and analyzing large-scale datasets for computer vision applications. You will design and implement machine learning algorithms and models for tasks such as image classification, object detection, and image segmentation. Additionally, you will develop and optimize computer vision algorithms to extract meaningful insights from visual data and collaborate with cross-functional teams to integrate these solutions into existing products or systems. To be successful in this role, you should currently be pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mathematics, Statistics, or a related field. Strong programming skills in Python, along with experience using libraries such as TensorFlow, PyTorch, OpenCV, and scikit-learn, are required. Knowledge of machine learning techniques and algorithms, particularly in the context of computer vision, is essential. Familiarity with deep learning architectures (e.g., CNNs, RNNs) and frameworks (e.g., TensorFlow, PyTorch) is also important. Experience working with image and video data, including preprocessing, feature extraction, and augmentation, will be beneficial. Proficiency in version control systems (e.g., Git) and collaborative development tools is expected. Excellent problem-solving skills, attention to detail, and effective communication skills are necessary for this role. The ability to explain complex concepts to technical and non-technical stakeholders is crucial. If you have prior research or project experience in data science, computer vision, or related fields, it would be a plus. Stay up-to-date with the latest developments in data science, computer vision, and related fields to contribute effectively to our team.,

We are a brand new Automotive Technology Start-up dedicated to developing driver safety systems tailored for Indian conditions. Our focus is on equipping riders and drivers with advanced rider assistance systems and affordable obstacle-avoidance automotive systems. Leveraging cutting-edge technologies such as Computer Vision, AI/ML, Big Data, Sensor Fusion, Embedded Systems, and IOT, we aim to create smart assistance systems that enhance safety on the road. Our current suite of products includes innovative solutions like the Front Collision Warning System (FCWS), Sleep Driver Alert System, Driver Monitoring System, and Driver Evaluation and Authentication. These products are designed to address critical safety issues and improve the overall driving experience. The Start-up is strongly supported by a $500Mn Group, a prominent automotive systems manufacturer serving global OEMs. With 29 manufacturing facilities spread across 7 states in India and a workforce exceeding 15,000 employees, the Group brings valuable expertise and resources to our venture. We are looking for a skilled AI/ML Engineer to join our early-stage start-up and contribute to the development of our rider safety product. As an AI/ML Engineer, you will be responsible for designing, developing, and integrating computer vision algorithms that play a crucial role in capturing and analyzing the surroundings to provide effective alerts for riders. In this role, you will: - Develop state-of-the-art CNN based computer vision object detectors and classifiers for real-time detection of road objects - Design and implement data ingestion, annotation, and model training pipelines to handle large volumes of video data and images - Create model visualizations, conduct hyperparameter tuning, and leverage data-driven insights to enhance model performance - Optimize models for efficient inference times and deploy them on low-power embedded IoT ARM CPUs - Establish CI/CD tests to evaluate multiple models on the test set effectively The ideal candidate should possess: - A BS or MS degree in Computer Science or Engineering from reputable educational institutions - Experience in building deep-learning object detectors for Computer Vision Applications - Proficiency in popular CNN architectures such as AlexNet, Google Lenet, MobileNet, Darknet, YOLO, SSD, and Resnet - Hands-on experience with libraries and frameworks like Caffe, Tensorflow, Keras, PyTorch, OpenCV, ARM Compute Library, and OpenCL - Knowledge of Transfer Learning and training models with limited data - Strong programming skills in Modern C++14 or above, Python, along with solid understanding of data structures and algorithms - Familiarity with working on small embedded computers, hardware peripherals, Docker Containers, and Linux-flavored operating systems To excel in this role, you can stand out by having: - Prior experience in product development within an early-stage start-up environment - Expertise in deploying scalable ML models for Android/IOS platforms - Noteworthy contributions to Open Source projects or achievements in coding Hackathons - Passion for Raspberry Pi and ARM CPUs - Keen interest in the field of Autonomous Driving Join us in our mission to revolutionize driver safety through innovative technology solutions tailored for Indian roads.,

Are you a skilled AI/ML engineer with 4-6 years of experience seeking a high-impact opportunity to lead the development of AI-driven solutions for a cutting-edge ERP platform If so, we have the perfect role for you! We are looking for a Senior AI/ML Engineer to join our dynamic team in Mohali, Punjab. In this role, you will be responsible for architecting and implementing AI solutions that optimize ERP processes such as sales forecasting, inventory management, and customer behavior analysis. You will have the chance to work on exciting projects in predictive analytics, automation, and advanced data insights. Key Responsibilities: - Architect and implement AI/ML models to optimize ERP processes - Develop and maintain scalable data pipelines for structured data flow - Collaborate with cross-functional teams to design and deploy AI solutions - Deploy AI models into production and monitor performance - Stay up-to-date with the latest AI/ML technologies and integrate them into the ERP platform - Troubleshoot and fine-tune AI models for improved outcomes - Provide technical expertise and support for project execution Requirements: - 4-6 years of AI/ML development experience - Proficiency in AI/ML frameworks like TensorFlow, PyTorch, or ML.NET - Hands-on experience with C#/.NET, SQL Server, and building AI models for enterprise applications - Experience in managing data pipelines using SQL, Spark, or Hadoop - Strong problem-solving and analytical skills - Excellent communication skills for effective collaboration Education: - Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field Join our fast-growing, innovative team and be part of shaping the future of ERP with advanced AI initiatives. Apply today with your updated resume and seize the opportunity to make a significant impact in the industry!,

As a Senior Python Engineer at our company, you will leverage your deep expertise in data engineering and API development to drive technical excellence and autonomy. Your primary responsibility will be leading the development of scalable backend systems and data infrastructure that power AI-driven applications across our platform. You will design, develop, and maintain high-performance APIs and microservices using Python frameworks such as FastAPI and Flask. Additionally, you will build and optimize scalable data pipelines, ETL/ELT processes, and orchestration frameworks, ensuring the utilization of AI development tools like GitHub Copilot, Cursor, or CodeWhisperer to enhance engineering velocity and code quality. In this role, you will architect resilient and modular backend systems integrated with databases like PostgreSQL, MongoDB, and Elasticsearch. Managing workflows and event-driven architectures using tools such as Airflow, Dagster, or Temporal.io will be essential, as you collaborate with cross-functional teams to deliver production-grade systems in cloud environments (AWS/GCP/Azure) with high test coverage, observability, and reliability. To be successful in this position, you must have at least 5 years of hands-on experience in Python backend/API development, a strong background in data engineering, and proficiency in AI-enhanced development environments like Copilot, Cursor, or equivalent tools. Solid experience with Elasticsearch, PostgreSQL, and scalable data solutions, along with familiarity with Docker, CI/CD, and cloud-native deployment practices is crucial. You should also demonstrate the ability to take ownership of features from idea to production. Nice-to-have qualifications include experience with distributed workflow engines like Temporal.io, background in AI/ML systems (PyTorch or TensorFlow), familiarity with LangChain, LLMs, and vector search tools (e.g., FAISS, Pinecone), and exposure to weak supervision, semantic search, or agentic AI workflows. Join us to build infrastructure for cutting-edge AI products and work in a collaborative, high-caliber engineering environment.,

Join our innovative team as a Python developer with Java expertise. You will be responsible for developing scalable data-intensive applications, APIs, and scripts to ensure optimized performance. Collaboration with cross-functional teams, participation in code reviews, and contribution to best practices are key aspects of this role. Your work will involve complex data-driven projects where you will leverage your expertise to design, develop, and deploy high-quality solutions. Our team values open communication, collaborative problem-solving, and continuous learning. As a Python developer with Java expertise, your responsibilities will include designing, developing, and deploying Python applications and scripts for data processing and analysis. You will create RESTful APIs using Java for data integration, develop and optimize data retrieval and querying mechanisms, troubleshoot and optimize data query performance and retrieval, participate in code reviews, and contribute to best practices. Additionally, you will debug issues and provide effective solutions while collaborating with cross-functional teams to identify and prioritize project requirements. To qualify for this role, you should have a Bachelor of Technology (B.Tech) or equivalent in Computer Science/Information Technology and a minimum of 6 years of overall experience in software development. You should also possess at least 3 years of experience in Python development, 3 years of experience in Java development, and 2 years of experience with MySQL. Strong oral and written communication skills in English, as well as excellent problem-solving skills, are essential for this position. It would be beneficial to have experience with Artificial Intelligence (AI) and Machine Learning (ML) concepts, familiarity with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn, and knowledge of Generative AI, Agents, and Chatbots. About Us: As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. Partnered with industry leaders across various sectors, Oracle continues to thrive after over 40 years of change by operating with integrity. Oracle is committed to fostering an inclusive workforce that promotes opportunities for all employees. Emphasizing a work-life balance, Oracle offers competitive benefits based on parity and consistency, including flexible medical, life insurance, and retirement options. Employees are encouraged to contribute to their communities through volunteer programs. Oracle is dedicated to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodations for a disability, please contact us at accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.,

At Oracle Cloud Infrastructure (OCI), the future of cloud computing for Enterprises is being shaped by a diverse team of creators and innovators. Acting with the speed and mentality of a start-up, we maintain the scale and customer-focus of the world's leading enterprise software company. Our values form the bedrock of OCI, guiding us towards achieving excellence. We are dedicated to equity, inclusion, and respect for all individuals. Committed to the greater good in both our products and actions, we prioritize continuous learning and personal growth opportunities. Within our team, we challenge each other to transcend past achievements and collectively build a better future. As part of the AI Data organization, you will engage with fascinating challenges at the convergence of artificial intelligence and cutting-edge cloud infrastructure. Our focus involves developing cloud services utilizing Large Language Models (LLMs) and other generative models to create synthetic data for various applications including text, speech, vision, and multi-modal scenarios. Additionally, we are establishing ML benchmarking standards and frameworks to ensure the highest quality across verticals such as Healthcare and Fusion. You will operate at the IC2/IC3 career level with the following responsibilities: - Design and construct world-class Generative AI Models in text, vision, and multimodal settings for generating synthetic data. - Research and implement cutting-edge techniques such as Fine-tuning and RLHF to align Generative models with specific problem domains. - Develop tools for data acquisition, cleaning, augmentation, model training, and visualization. - Evaluate and implement ML/Deep learning/GenAI models from research papers and other public resources. - Optimize models for production usage and assist in productizing generation scenarios. - Create production code for feature processing, model prediction, serving, and monitoring in real-time and batch scenarios. - Engage in the entire software lifecycle including development, testing, CI, and production operations. - Strike a balance between product feature development and production operational considerations. Minimum Qualifications for this role include: - Ph.D. degree or Masters degree or equivalent experience in computer science, artificial intelligence, machine learning, operations research, or related technical field. - 5+ years with Masters or 3+ years with PhD of applying machine learning to solve real-world problems in industry. - Proficiency in Python or R. - Proficiency with at least one deep learning library (Pytorch, Tensorflow, or Keras) for building and deploying DNN models in production. - Expertise in NLP, Transformers, Large Language Models, and hugging face library. Optimization of LLM training and serving. - Experience in statistical models, Machine Learning solutions, and large scale Deep learning model development and serving across different data domains. - Proficiency in traditional ML libraries like scikit-learn, statsmodels, and pandas. - Track record of delivering large-scale ML solutions for complex business challenges. - Experience in production operations and ensuring quality code deployment with the ability to troubleshoot issues effectively. - Strong communication skills for articulating technical ideas through verbal and written means. At Oracle, we are committed to fostering an inclusive workforce that values diverse perspectives and backgrounds. Our dedication to innovation is fueled by hearing every voice, inspiring us to surpass previous achievements. Operating with integrity for over 40 years, we collaborate with industry leaders across various sectors. We prioritize work-life balance through a competitive suite of employee benefits designed on the principles of fairness and consistency. Our comprehensive benefits package includes flexible medical, life insurance, and retirement options. Employees are encouraged to contribute to their communities through volunteer programs. We are devoted to integrating individuals with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation due to a disability, please contact us at +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Opportunity Employer in the United States.,

Oliver Wyman is a global leader in management consulting with offices in 70 cities across 30 countries. Combining deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation, our team of 6000+ professionals helps clients optimize their business, improve IT, operations, and risk profile, and accelerate organizational performance. We challenge conventional thinking, consistently deliver innovative solutions, and have a tangible impact on clients" top and bottom lines. Our clients are the CEOs and executive teams of the top global 1000 companies. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. At Oliver Wyman DNA in Gurugram, India, we partner with clients to solve tough strategic business challenges using analytics, technology, and industry expertise. Our goal is to achieve lasting results in collaboration with clients and stakeholders, driving digital transformation, creating customer-focused solutions, and optimizing operations for the future. We value personal and professional growth opportunities and aim to deliver impact globally as an entrepreneurial team. Our mission is to leverage India's high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally. By working alongside Oliver Wyman consulting teams, we aim to achieve sustainable growth and drive meaningful impact for our global client base. Our purpose is to bring together a diverse team of highest-quality talent equipped with innovative analytical tools to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We have open positions ranging from Associate Data Scientist to Director, providing talented professionals with excellent career and growth opportunities. We seek individuals with relevant experience in quantitatively intense areas to join our team. In the data scientist track, you will be responsible for managing and delivering analytics projects, designing analytics solutions, crafting models, and driving scalable high-quality solutions across industries. Your responsibilities include working with global clients, exploring large-scale data, shaping proposals, refining model insights, leading the development of statistical techniques and ML algorithms, and staying updated on emerging data science techniques. To be successful in this role, you should have a Bachelor's or Master's degree in a quantitative discipline, prior experience in data science and analytics, a passion for problem-solving through big data, impactful presentation skills, excellent communication skills, willingness to travel, and proficiency in modern programming languages and machine learning frameworks. You should also have a solid foundational knowledge of mathematical and statistical principles, familiarity with cloud storage and computational frameworks, and a collaborative team player mindset with respect for confidentiality. The interview process will include testing technical proficiency, case study, and team-fit interviews. If you are interested in joining our team, please include a brief note introducing yourself, what you're looking for in the role, and your potential value-add to our team. We are hiring for data and analytics roles across the levels from Associate Data Scientist to Director level for experience ranging from 0-15 years. In addition to the base salary, this position may be eligible for performance-based incentives, and we offer a competitive total rewards package including comprehensive health and welfare benefits.,

Job Title: Data Science Expert (Mentor & Trainer) Location: Onsite Mumbai, India Employment Type: Full-Time About the Role: We are seeking an experienced and highly skilled Data Science Expert to join our growing team at our Mumbai office. This is a full-time, onsite role focused not only on solving complex data problems but also on mentoring and training Junior Data Science Engineers . The ideal candidate will bring deep technical expertise in data science and machine learning, along with a passion for teaching and developing talent. Key Responsibilities: Lead the development of end-to-end data science solutions using advanced ML, NLP, and Computer Vision techniques. Train, mentor, and support junior data science engineers in coding, model development, and best practices. Architect and implement AI-driven solutions such as chatbots, OCR systems, and facial recognition applications. Translate complex business problems into actionable data science projects and deliver measurable results. Design and lead internal workshops, code reviews, and learning sessions to upskill the team. Collaborate with engineering and product teams to deploy models and insights into production environments. Stay abreast of the latest AI/ML trends and integrate cutting-edge techniques into projects where applicable. Desired Skills & Qualifications: Experience: 6+ years in Data Science/Machine Learning with at least 12 years of team mentoring or leadership experience. Education: Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field. Technical Expertise Required: Strong proficiency in Python and SQL ; R is a plus. Solid hands-on experience with Deep Learning and Neural Networks , particularly in Natural Language Processing (NLP) , Generative AI , and Computer Vision . Familiarity with frameworks and libraries such as TensorFlow , Keras , PyTorch , OpenCV , SpaCy , NLTK , BERT , ELMo , etc. Experience developing Chatbots , OCR , and Face Recognition systems is preferred. Hands-on knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform). Experience applying statistical and data mining techniques such as GLM , regression , clustering , random forests , boosting , decision trees , etc. Strong understanding of model validation , performance tuning , and deployment strategies . Soft Skills: Excellent communication and presentation skills, especially in explaining complex models to non-technical audiences. Demonstrated ability to mentor, train, and lead junior team members effectively. Strong analytical and problem-solving mindset with a detail-oriented approach. What We Offer: Competitive salary and benefits A collaborative and intellectually stimulating environment Career growth and leadership development opportunities within a fast-paced team

You should have proficiency in Python with skills in file handling, RestfulAPIs, List, Tuple, etc. Additionally, experience in ML/Data Science using NumPy, Pandas, EDA, TensorFlow, Keras, Matplotlib, etc. is required. Familiarity with Large Language Models (LLMs) is also preferred. Good communication skills are a must for this role. The minimum duration for this position is 6 months. The stipend offered is based on the candidate's experience (DOE) ranging from 5K to 25K. This is a remote job opportunity and the selected candidates will be working from home. Please note that this opportunity is for deserving candidates only.,

You should have at least 2 years of experience in Python development and a solid understanding of AI/ML concepts with hands-on experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Additionally, you should be experienced in working with RESTful APIs, web frameworks such as Flask or Django, and data manipulation libraries like Pandas and NumPy. Proficiency in version control using Git is required, along with good problem-solving and communication skills. Your responsibilities will include developing, testing, and maintaining Python-based applications and APIs, integrating AI/ML models into production-grade systems, collaborating with data scientists, engineers, and product teams to build scalable solutions, designing and implementing data pipelines and automation tools, optimizing code for performance and scalability, and staying updated on industry trends and best practices in Python development and AI. Preferred qualifications for this position include experience deploying machine learning models in production, knowledge of cloud platforms such as AWS, GCP, or Azure, familiarity with containerization tools like Docker or Kubernetes, and a background in computer science, mathematics, or a related field. Sunfocus Solutions Private Limited, based in India, is a business solutions IT company with a team of over 100 technology experts providing world-class IT solutions to clients. Sunfocus Solutions is a Top Rated PLUS Agency on Upwork and delivers full mobile and web solutions for startups, small businesses, and large enterprises globally. The benefits offered by Sunfocus include cell phone reimbursement, commuter assistance, health insurance, internet reimbursement, leave encashment, life insurance, and work-from-home options. The education requirement for this position is a Bachelor's degree, and the job type is full-time and permanent. In addition to a competitive salary, the company provides benefits such as cell phone reimbursement, commuter assistance, health insurance, internet reimbursement, leave encashment, life insurance, and work-from-home options. The work schedule includes day and morning shifts, and bonuses like joining bonus, performance bonus, and yearly bonus are also offered. The ideal candidate for this position should be able to commute or relocate to Mohali, Punjab. Previous experience of 2 years in Python with AI knowledge is preferred for this role. The work location is in person at 1st floor, Plot No: C-127, Phase-8, Industrial Area, Sahibzada Ajit Singh Nagar, Punjab 160072.,

As an Enterprise AI Platform Solution Architect, your primary responsibility will be to ideate and formulate a pragmatic blueprint using Deep learning for the development of AI solutions. You will work closely with a cross-functional team of talented engineers to design and create advanced and efficient AI-based solutions for business problems. Collaboration with engineers, researchers, and data specialists will be crucial in implementing best practices in coding and maintaining code repositories. You will be required to maintain the quality and responsiveness of AI platforms, ensuring that they meet the requirements derived from client meetings and workshops. Additionally, you will contribute to writing comprehensive proposals and work within an agile environment to deliver assigned tasks within specified timelines. Adhering to software development best practices and coding standards will be essential to improve quality and productivity. In this role, you will guide, coach, and lead a team of engineers specializing in AI, full-stack development, QA automation, and DevOps. Your expertise should include a strong educational background in Computer Science or a related field, along with 8-12 years of experience in live industry projects at an enterprise level. Domain expertise in areas such as NLP, Computer Vision, or Cyber Security (Data Science) will be beneficial. Proficiency in Python Programming, TensorFlow, Sci-kit learn, Keras, and other relevant libraries for AI & Machine Learning is required. You should have a strong ability to manipulate data using Pandas, Numpy, and other Python libraries, supporting data munging and cleansing activities. Experience in Agile methodology, CI-CD patterns, and working with Microservices, APIs, and Docker containers is essential. Your skills should also include hands-on experience with relational databases, writing SQL queries, and understanding enterprise application architecture. Proficiency in tools and technologies such as Python, TensorFlow, PyTorch, Django/Flask, MySQL, Git, Bitbucket, Jira, Confluence, and cloud platforms like Google Cloud, AWS, and Azure will be valuable for this role.,

You will be joining our team as a skilled Deep Learning Engineer with expertise in object detection and segmentation models. Your primary responsibilities will include implementing and refining object detection models such as YOLOvX, Faster R-CNN, EfficientDet, SSD, and Mask R-CNN. Additionally, you will work on real-time computer vision applications, optimize performance, annotate and prepare datasets, and collaborate on research and development projects to enhance model performance and robustness. As a Deep Learning Engineer, you will be expected to deploy models using Docker on Linux/Windows systems, with experience in edge deployment considered a plus. It will be essential for you to document code, experiments, and deployment processes while collaborating with cross-functional teams. Strong Python programming skills, knowledge of TensorFlow, PyTorch, OpenCV, and ONNX, as well as hands-on experience with Docker and familiarity with model optimization techniques like quantization and pruning are required for this role. An advantage would be your experience in edge deployments using platforms such as NVIDIA Jetson, TensorRT, and OpenVINO. Additionally, familiarity with experiment tracking tools like MLflow or Weights & Biases is a plus. The qualifications we are looking for include a Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field, along with strong analytical, problem-solving, and team collaboration skills. This is a full-time position with a day shift schedule that requires in-person work at our location.,

We are seeking a talented and motivated Machine Learning Engineer to become a valuable member of our expanding team. As a Machine Learning Engineer, you will be instrumental in the design, development, and implementation of machine learning models aimed at addressing intricate business challenges. Your collaborative efforts with data scientists, software engineers, and product managers will bring forth innovative solutions. In this role, you will have the following responsibilities: - Designing, developing, and deploying machine learning models across various applications such as recommendation systems, fraud detection, and natural language processing. - Working alongside data scientists to comprehend business requirements, translate them into technical specifications, and choose suitable algorithms. - Preparing and refining data for the training and assessment of machine learning models. - Training, testing, and evaluating machine learning models to ensure accuracy, efficiency, and scalability. - Monitoring and upkeeping deployed models in production, while identifying areas for enhancement. - Staying abreast of the latest advancements in machine learning research and adhering to best practices. - Effectively communicating complex concepts to both technical and non-technical audiences. To be considered a strong fit for this position, you should possess: - 3-7 years of experience in machine learning engineering. - Demonstrated proficiency in constructing and deploying machine learning models. - Solid understanding of machine learning algorithms and techniques like supervised learning, unsupervised learning, and deep learning. - Proficiency in Python. - Familiarity with machine learning libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn. - Sound comprehension of machine learning algorithms, techniques, as well as LLM architecture and functionalities. - Exceptional problem-solving and analytical skills. - Strong communication and collaboration abilities. Additional qualifications that would be advantageous: - Experience with cloud platforms like AWS, GCP, and Azure. - Familiarity with MLOps tools and methodologies. - Contributions to open-source projects. If you join our team, you will have the invaluable opportunity to apply your skills to tackle global challenges and collaborate with some of the most seasoned software architects in the Indian IT industry, receiving mentorship from them along the way.,

Offshore Software Solutions is looking for a Data Scientist with 3-5 years of experience in analyzing health data from devices like smartwatches and fitness trackers. The role involves developing custom machine learning models using TensorFlow to derive actionable insights for improving health monitoring and user well-being. Your responsibilities will include analyzing health data from wearables, developing and deploying machine learning models, collaborating with cross-functional teams, preprocessing data, ensuring privacy standards compliance, optimizing models for accuracy, and presenting findings to stakeholders. Additionally, you will stay updated on the latest machine learning research related to health data from wearable devices. Requirements for this role include a Bachelor's or Masters degree in Data Science or related field, 3+ years of data analysis experience, expertise in TensorFlow, knowledge of deep learning and neural networks, proficiency in Python and data science libraries, familiarity with health data metrics, experience with data visualization tools and databases, and strong problem-solving skills. Preferred qualifications include working with wearable device APIs, understanding time-series analysis and anomaly detection, experience in edge computing, and good communication skills for effective collaboration. If you are passionate about leveraging data science to improve health monitoring and user well-being, and possess the required skills and qualifications, we encourage you to apply for this exciting opportunity at Offshore Software Solutions in Mohali, Punjab.,

Genpact is a global professional services and solutions firm with over 125,000 employees in more than 30 countries. We are driven by curiosity, entrepreneurial agility, and the desire to create lasting value for our clients, including Fortune Global 500 companies. Our purpose is the relentless pursuit of a world that works better for people, and we serve leading enterprises with deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Senior Principal Consultant, Research Data Scientist. The ideal candidate should have experience in Text Mining, Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. It is desirable to have full-cycle experience in at least one Large Scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation, and Change Management. Experience in Hadoop, including development in the map-reduce framework, is also required. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems and working with database teams to deliver large-scale text analytic solutions. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities include developing transformative AI/ML solutions, managing project delivery, stakeholder/customer expectations, project documentation, project planning, and staying updated on industrial and academic developments in AI/ML with NLP/NLU applications. The role also involves conceptualizing, designing, building, and developing solution algorithms, interacting with clients to collect requirements, and conducting applied research on text analytics and machine learning projects. Qualifications we seek: Minimum Qualifications/Skills: - MS in Computer Science, Information systems, or Computer engineering - Systems Engineering experience with Text Mining/NLP tools, Data sciences, Big Data, and algorithms Technology: - Proficiency in Open Source Text Mining paradigms like NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud-based NLU tools such as DialogFlow, MS LUIS - Exposure to Statistical Toolkits like R, Weka, S-Plus, Matlab, SAS-Text Miner - Strong Core Java experience, Hadoop ecosystem, Python/R programming skills Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG - Solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks - Understanding of NLP & Statistics concepts, applications like Sentiment Analysis, NLP, etc. Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, Machine learning/Deep learning methods - UI development paradigms, Linux, Windows, GPU Experience, Spark, Scala - Deep learning frameworks like TensorFlow, Keras, Torch, Theano Methodology: - Social Network modeling paradigms - Text Analytics using NLP tools, Text analytics implementations This is a full-time position based in India-Noida. The candidate should have a Master's degree or equivalent education level. The job posting was on Oct 7, 2024, and the unposting date is ongoing. The primary skills required are digital, and the job category is full-time.,

Artificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, you're part of a diverse team of scientists, engineers, and machine learning experts collaborating to advance the state of the art in artificial intelligence. The technologies developed are aimed at benefiting the public and driving scientific discovery, while prioritizing safety and ethics. As a highly motivated and innovative Research Scientist in Bengaluru, you will focus on advancing multiagent systems for social impact. Your role involves conducting cutting-edge research on multiagent systems, particularly agents based on large language models (LLMs), with a specific emphasis on accelerating social impact. This position provides a unique opportunity to engage in fundamental AI research, collaborate with a world-class team, and witness the translation of your work into real-world applications. If you're passionate about shaping the future of social impact through AI and eager to make a significant difference in the evolving landscape of multiagent systems and AI agents, we encourage you to apply. You will be responsible for conducting cutting-edge research by developing novel algorithms, models, and techniques for multiagent systems. This includes pushing the boundaries of AI research in areas like multiagent reinforcement learning, bandit algorithms, and diffusion models. Your research will play a direct role in enhancing Google's multiagent capabilities, with a special focus on social impact. Additionally, you will design, implement, and evaluate the use of AI agents for social impact, exploring techniques to enhance model performance and robustness in real-world scenarios. Collaboration is key in this role, as you will work closely with other research scientists, engineers, and product teams at Google DeepMind. Your research findings will be shared through publications in top-tier conferences and journals, contributing to both the academic community and the development of impactful products. Moreover, you will witness the real-world impact of your research across various domains, potentially influencing future Google products and services. To stay at the forefront of AI research, you will continuously explore emerging trends and participate in international conferences and workshops to share your work and learn from others in the field. As a passionate and talented researcher with a strong theoretical foundation in AI, you are eager to conduct impactful research and collaborate with a team to address ambitious challenges. Your goal is to see your research translate into real-world impact that enhances lives. A Ph.D. in Computer Science, Artificial Intelligence, or related fields is required, along with a strong publication record in top-tier machine learning conferences or journals. You should have a solid understanding of multiagent systems research, including topics such as multiagent reinforcement learning, game theory, social choice, and bandit algorithms. Experience with ML frameworks such as JAX, TensorFlow, or PyTorch is essential. Additionally, familiarity with large language models, AI agents, large-scale model training, and deployment, as well as strong programming skills in Python or similar languages, will be advantageous. Excellent communication and collaboration skills are also necessary for this role.,

You should have a Bachelors/Masters degree in computer science or engineering with a focus on language processing. With at least 7+ years of experience, you should have exposure to NLP and relevant projects. It is essential to have experience with AI/ML platforms, frameworks, and libraries, along with knowledge in relevant programming languages, development tools, and databases. Proficiency in programming in Python, Pytorch, and tensorflow is required. Your role will involve understanding NLP techniques for text representation, semantic extraction techniques, data structures, and modeling. You should be capable of writing and building components to integrate into new or existing systems. Documentation experience for complex software components is necessary. Experience in implementing the product lifecycle - design, development, quality, deployment, and maintenance is expected. A strong background in machine learning, operations, automation, features, data, ML, ops, performance, management, and stores is essential for this role. You should be able to convert a business problem into a data-driven ML solution, develop, manage, and architect ML and advanced analytics models. Additionally, you should examine data from multiple sources and share insights. You should be ready to work within a collaborative environment with teams and possess creative thinking skills for identifying new opportunities.,

As a Data Science Developer at our company located in Baner, Pune, you will be instrumental in creating and implementing data-driven solutions to address complex business issues. Your primary responsibilities will involve data analysis, model development, data pipeline creation, visualization, and collaboration with various teams. You will be tasked with collecting, cleaning, and preprocessing both structured and unstructured data, followed by conducting exploratory data analysis to reveal patterns and insights. Furthermore, your role will include designing, constructing, and enhancing machine learning and statistical models, ensuring their performance validation and robustness for deployment. Developing and managing end-to-end data pipelines for model deployment, as well as integrating models seamlessly into existing systems, will be crucial aspects of your job. Your ability to generate intuitive dashboards and reports to effectively communicate insights and meet business requirements will play a vital role in your day-to-day tasks. Collaboration is key in this role, as you will closely collaborate with data engineers, software developers, and business analysts to align with project objectives. Documenting processes, models, and insights for knowledge sharing will be an essential part of ensuring a cohesive team effort. To excel in this position, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, along with a minimum of 3 to 4 years of experience in data science or related roles. Proficiency in programming languages such as Python or R, familiarity with machine learning libraries like scikit-learn, TensorFlow, PyTorch, and experience with data visualization tools are essential requirements. Additionally, knowledge of SQL, relational databases, and big data technologies like Hadoop or Spark would be advantageous. If you have strong problem-solving skills, attention to detail, and excellent communication and teamwork abilities, we invite you to apply for this full-time position with benefits including health insurance, life insurance, paid sick time, and Provident Fund. The work schedule is during day shifts, with a total work experience of 5 years being required for this role.,