4 Opentsdb Jobs

Research Innovation: o Stay up-to-date with the latest advancements in deep learning, LLMs, and statistical methods. o Conduct experiments to explore new techniques and improve existing models. o Perform applied research and experimentation, validate model performance for accuracy, robustness champion responsible AI practices Deep Learning LLM Development: o Design, implement, and optimize deep learning models and frameworks (e.g., TensorFlow, PyTorch, JAX). o Develop and fine-tune large language models (LLMs) for specific use cases, including natural language processing (NLP) tasks. o Experiment with state-of-the-art architectures (e.g., Transformers, GPT, BERT) to solve complex problems. o Knowledge of Agentic frameworks (Crew AI , llama index etc). o Good knowledge of GenAI framework Statistical Modelling Analysis: o Apply advanced statistical methods to analyse data, validate models, and interpret results. o Develop probabilistic models and leverage Bayesian inference techniques where applicable. o Ensure models are statistically robust and generalize well to real-world data. Data Preprocessing Feature Engineering: o Clean, preprocess, and transform large datasets for training and evaluation. o Perform feature engineering and dimensionality reduction to improve model performance. Model Deployment Optimization: o Deploy deep learning models and LLMs into production environments. o Optimize models for inference speed, memory usage, and scalability. o Implement monitoring and evaluation systems to track model performance over time. Collaboration Leadership: o Work closely with cross-functional teams, including data scientists, engineers, and product managers. o Mentor junior team members and provide technical guidance. Requirements and skills 7+ years in applying AI/ML principles to real world applications Broad NLP knowledge: tokenisation, part-of-speech tagging, dependency parsing, syntactic parsing, word sense disambiguation, topic modeling; contextual text mining, Word embedding Experience Computer Vision: o Construction, Feature detection, Segmentation, Classification o object detection, tracking, localisation, classification, recognition, scene understanding Experience to Deep Learning - CNNs, LSTMs, network architecture, network tuning, transfer learning, multi-task learning Machine Learning experience - Algorithm Evaluation, Preparation, Analysis, Modeling and Execution. Experience to Open source NLP libraries e.g. NLTK, Regex, Stanford NLP, OpenNLP/CoreNLP Very strong grasp of IT concepts with a strong algorithms/data structures background Demonstrated history of building prototypes to win business confidence. Experience in using Keras, Tensorflow, Caffe and/or other neural network development frameworks. Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory. Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase. Should have prior experience in developing APIs, services using either C# or Java. Experience in Develop, implement, and optimize machine learning models using the Microsoft AI Platform (Azure Machine Learning, Cognitive Services, etc.) Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc. Experience in selecting features, building and optimizing classifiers using machine learning techniques. Should have good awareness on entire machine learning/ predictive modeling implementation. Additional Qualifications: Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Knowledge of natural language processing (NLP) and computer vision techniques. Familiarity with DevOps practices and CI/CD pipelines for machine learning models. Microsoft Azure certifications (e.g., Azure Data Scientist Associate, Azure AI Engineer Associate). Research business domain and develop use-cases to support enterprise wide AI solutions. Monitor and maintain deployed models, ensuring scalability, performance, and accuracy. Prior experience with data visualization tools, such as D3.js, GGplot, etc.. Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc.. Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders. Basic understanding of the banking industry is value add

React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST APIs. BS or MS in Computer Science or related field. Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design. Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap. Improve codebase with continuous refactoring. Self-starter to take ownership of the platform engineering and application development. Work on multiple projects simultaneously and get things done. Take products from prototype to production. Collaborate with team in Sunnyvale, CA to lead 24x7 product development. Bonus: If you have worked on one or more below then highlight those projects when applying: Experience with Time Series DB - M3DB, Prometheus, InfluxDB, OpenTSDB, ELK Stack Experience with visualization tools like Tableau, KeplerGL etc. Experience with MQTT or other IoT communication protocols a plus

Ensemble Energy is an exciting startup in industrial IoT space focused on energy. Our mission is to accelerate the clean energy revolution by making it more competitive using the power of data. Ensembles AI enabled SaaS platform provides prescriptive analytics to power plant operators by combining the power of machine learning, big data, and deep domain expertise. As a Full Stack/IOT Intern, you will be participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform. Required Skills & Experience: React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST APIs. BS or MS in Computer Science or related field. Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design. Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap. Improve codebase with continuous refactoring. Self-starter to take ownership of the platform engineering and application development. Work on multiple projects simultaneously and get things done. Take products from prototype to production. Collaborate with team in Sunnyvale, CA to lead 24x7 product development. Bonus: If you have worked on one or more below then highlight those projects when applying: Experience with Time Series DB - M3DB, Prometheus, InfluxDB, OpenTSDB, ELK Stack Experience with visualization tools like Tableau, KeplerGL etc. Experience with MQTT or other IoT communication protocols a plus

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies