16 Tensor Flow Jobs

As a highly skilled and experienced Generative AI Developer, you will be responsible for designing, developing, and implementing generative AI models using state-of-the-art techniques. Your role will involve collaborating with cross-functional teams to define project goals, research requirements, and develop innovative solutions. It will be crucial to optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Your expertise in generative AI Models, Frameworks, and techniques will be essential in applying them to develop innovative solutions. You will have hands-on exposure to integrating at least one of the popular LLM API endpoints such as OpenAI, Claude, Mistral. Additionally, your proven track record of working in cloud computing environments will enable you to deploy and manage machine learning models in the cloud effectively. Staying up-to-date on the latest advancements in generative AI, deep learning, and related fields will be vital for incorporating new techniques and methods into the team's workflow. Clear and concise documentation of generative AI models, processes, and results will be expected from you. Effective communication of complex concepts and results to both technical and non-technical stakeholders will play a key role in your responsibilities. Furthermore, you will provide support and guidance to other team members, contributing to a positive and collaborative working environment. Your qualifications should include a Bachelor's degree in computer science, artificial intelligence, or a related field, along with at least 2 years of relevant experience in generative AI development. Strong programming skills in Python with 8+ years, experience in AI/ML, proficiency in machine learning frameworks such as Lang chain, llama-index, FastAPI, Tensor Flow, PyTorch, or scikit-learn, experience with cloud computing platforms like Azure, excellent communication, and problem-solving skills, as well as the ability to work both independently and as part of a team.,

At EY, you will have the opportunity to shape a career that aligns with your unique qualities, leveraging our global reach, supportive environment, inclusive culture, and cutting-edge technology to empower you to reach your full potential. Your distinctive voice and perspective are essential in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional journey for yourself but also contribute to building a better working world for all. As a Senior Developer with 3 to 5 years of overall experience and at least 3 years of relevant experience, you will assume the role of a Technical Lead specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Your responsibilities will include designing and implementing innovative solutions based on AI and ML technologies. In this role, you will lead a team of Junior Developers, providing guidance and expertise gained from your 3+ years of experience in service delivery. You will be tasked with designing technical specifications for projects involving AI, Machine Learning, Deep Learning, NLP, NLU, and NLG. Furthermore, you will contribute to the development of products and tools utilizing AI technologies to deliver high-value solutions. Your expertise will encompass a range of AI and ML techniques, including deep learning, computer vision, natural language processing, search algorithms, information retrieval, information extraction, probabilistic graphical models, and machine learning. Additionally, you will be responsible for implementing version control strategies and defining best practices for software development. To excel in this role, you must possess excellent computer skills, proficiency in Excel, PowerPoint, Word, and Outlook, as well as strong interpersonal and collaborative abilities. Your command of the English language, both verbal and written, will be crucial in effectively communicating and analyzing solutions to complex problems. Your key responsibilities will include creating technical designs for AI and ML projects, demonstrating a solid understanding of deep learning architectures and algorithms, and leveraging open-source libraries such as Keras, TensorFlow, and PyTorch. You will collaborate with business analysts and consultants to develop robust solutions, utilizing your expertise in data science and machine learning using Python and R. Moreover, your role will involve training and leading technical developers, designing applications using Microsoft technologies like ASP.Net, C#, HTML5, and MVC, leveraging cloud solutions such as Azure or AWS, and working with container technologies like Docker. Your ability to work effectively with global teams and build strong relationships with project stakeholders will be critical to your success. At EY, we are dedicated to building a better working world by creating long-term value for clients, fostering trust in the capital markets, and driving growth and transformation through data and technology. Join our diverse teams across 150 countries as we tackle complex global challenges with innovative solutions and a commitment to asking better questions to find new answers.,

The Gen AI Architect will play a key role in designing, implementing, and overseeing the development of advanced generative AI models, platforms, and systems. You will work closely with data scientists, engineers, and business stakeholders to design AI solutions that drive value and innovation. Lead the design and development of scalable, high-performance generative AI systems. Architect end-to-end AI solutions, from data collection and preprocessing to model development and deployment. Ensure seamless integration of AI systems into existing platforms, enhancing business functionality. Lead the design and development of generative AI models, including but not limited to transformers and Large Language Models (LLMs). Collaborate with research teams to keep the organization at the forefront of AI advancements. Stay up-to-date with the latest advancements in generative AI research and technology. Drive innovation in AI strategies, recommending tools, techniques, and approaches to improve performance and capabilities continually. Contribute to the development of AI strategies that align with organizational goals and objectives. Required Skills & Experience: - Proven experience in AI/ML model development, with a focus on generative models such as LLM, transformers. - Strong experience in MLOps. - Strong experience designing and deploying scalable AI architectures in the cloud environments (AWS/Azure/GCP). - Experience with AI frameworks and libraries such as Tensor Flow PyTorch. - Experience with data engineering and pre-processing for generative models. - Deep understanding of deep learning, reinforcement learning, unsupervised learning, and Natural Language Processing (NLP). - Proficiency in Python and other relevant programming languages. - Strong knowledge of machine learning pipelines, model versioning, and CI/CD for AI/ML.,

You will be responsible for preparing data, developing models, testing them, and deploying them. This includes designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Your role will involve ensuring that algorithms generate accurate user recommendations. Additionally, you will work on turning unstructured data into useful information by auto-tagging images and converting text to speech. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks will be part of your daily tasks. Your responsibilities will also include developing machine learning algorithms to analyze large volumes of historical data for making predictions. You will run tests, perform statistical analysis, and interpret the results, documenting machine learning processes. As a Lead Engineer in ML and Data Engineering, you will oversee the technologies, tools, and techniques used within the team. Collaboration with the team based on business requirements for designing the requirements is essential. You will ensure that development standards, policies, and procedures are adhered to and drive change to implement efficient and effective strategies. Working closely with peers in the business to fully understand the business process and requirements is crucial. Maintenance, debugging, and problem-solving will also be part of your job responsibilities. Ensuring that all software developed within your team meets the business requirements specified and showing flexibility to respond to the changing needs of the business are key aspects of the role. Your technical skills should include 4+ years of experience in Python, API development using Flask/Django, and proficiency in libraries such as Pandas, Numpy, Keras, Scipy, Scikit-learn, PyTorch, Tensor Flow, and Theano. Hands-on experience in Machine Learning (Supervised & Unsupervised) and familiarity with Data Analytics Tools & Libraries are required. Experience in Cloud Data Pipelines and Engineering (Azure/AWS) as well as familiarity with ETL Pipelines/DataBricks/Apache NiFi/Kafka/Talend will be beneficial. Ability to work independently on projects, good written and verbal communication skills, and a Bachelor's Degree in Computer Science/Engineering/BCA/MCA are essential qualifications for this role. Desirable skills include 2+ years of experience in Java.,

You will be joining our team in Hyderabad, Telangana as a Mid-Level Machine Learning Engineer or a Junior Machine Learning Engineer for developing custom Large Language Models (LLMs) and optimizing their performance for legal research applications. These positions provide a unique opportunity to contribute to our innovative project's AI backend and React-based frontend. As a Mid-Level Machine Learning Engineer, your responsibilities will include leading the design, implementation, and maintenance of machine learning models with a focus on NLP and LLMs for legal applications. You will enhance model training processes, data pipelines, and performance optimization for scalability. Collaborating with front-end developers to integrate AI functionalities into our React UI will be crucial to ensure a seamless user experience. Additionally, you will conduct rigorous testing and performance evaluations to drive continuous improvement. As a Junior Machine Learning Engineer, you will be supporting the development and maintenance of machine learning models and data processing tasks. Your role will involve assisting in the integration of AI technologies into our React-based front-end, working closely with senior engineers. Active participation in ongoing learning and team collaboration is essential to stay at the forefront of AI research and development. For the Mid-Level Engineer position, we require a Bachelor's or Master's degree in Computer Science, AI, Machine Learning (ML), or a related field. A strong understanding of ML and neural network (NN) concepts is necessary, along with proficiency in Python, ML frameworks such as Tensor Flow and PyTorch, and ML ops. For the Junior Engineer position, a Bachelor's degree in a relevant field is required. Candidates should have at least 1 year of machine learning experience or related internships, basic knowledge of Python and machine learning frameworks, and an interest in learning and contributing to React UI development. In addition to specific qualifications, we seek individuals with strong analytical, problem-solving, and communication skills. The ability to work effectively in a fast-paced, collaborative environment is crucial. A passion for innovation and continuous learning in AI and legal tech is highly valued in our team.,

As an Artificial Intelligence Teacher (International curriculum) at KiiTIS, you will be responsible for delivering high-quality education in the field of Artificial Intelligence. To qualify for this position, you should hold a bachelor's degree in a relevant subject such as Computer Science, AI, or a related field. Additionally, having 3-5 years of professional or industry experience in AI fields would be highly desirable. Your technical expertise should include proficiency in Python, machine learning frameworks such as Tensor Flow and Scikit-learn, as well as knowledge of data science and ethical AI principles. It is important to have a good understanding of AI applications in various sectors such as business, healthcare, cyber security, and robotics. If you are passionate about teaching and possess the required qualifications and technical skills, we encourage you to submit your resume along with a covering letter to careers@kiitis.ac.in by 31st July, 2025.,

The position available at Alegra Labs requires experienced candidates with a minimum of 2 to 3 years of relevant experience. The ideal candidate should have a strong understanding of Version Control, including familiarity with Git GUI and Command Line. Additionally, proficiency in Unit Testing, particularly Test-Driven Development (TDD), and experience with CI/CD Pipeline is expected. It is essential that candidates are well-versed in Open Source technologies and have a good grasp of Linux systems. Candidates applying for this position must have expertise in at least one JavaScript framework such as Angular, React, or Vue. While VueJS is preferred, proficiency in any JavaScript framework is acceptable. Mere knowledge of Python is not sufficient; applicants should be capable of running programs as Web Applications and have experience with Python frameworks like Flask and Django. Familiarity with Artificial Intelligence technologies such as Scikit, Spacy, TensorFlow, Pytorch, OpenCV, as well as knowledge in Natural Language Processing (NLP) and Deep Neural Networks is highly desired. Moreover, the candidate should have experience in deploying Python applications on NGINX, running Python applications through UWSGI on specific ports, and a comprehensive understanding of Linux systems. The ideal candidate for this role should be well-versed in various technologies and tools to effectively contribute to the development and deployment of applications.,

Role & responsibilities Looking for someone with software & hardware industry experience Preferred candidate profile Hands on Experience in Computer Vision with 3D, RDB, Python, Pytorch, open CV, tensorflow.

skills in Python, with experience in ML libraries like Tensor Flow, PyTorch, Scikit-learn, XGBoost,AWS, Azure, or GCP and cloud-native ML tools (SageMaker, Vertex AI, Azure ML)Docker, Kubernetes,MLOps, model monitoring, Spark, Hadoop, Hive

You will be a Mid-Level Machine Learning Engineer responsible for leading the design, implementation, and maintenance of machine learning models, with a focus on Natural Language Processing (NLP) and Large Language Models (LLMs) for legal applications. Your role will involve enhancing model training processes, data pipelines, and performance optimization to ensure scalability. Additionally, you will collaborate with front-end developers to integrate AI functionalities into our React UI, aiming to provide a seamless user experience. Rigorous testing and performance evaluations will also be part of your responsibilities. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence (AI), Machine Learning (ML), or a related field. A strong understanding of ML and neural network (NN) concepts is essential, along with the ability to train, validate, and test NN models. Proficiency in Python, ML frameworks (such as Tensor Flow, PyTorch), and ML ops is also required. Join our team and be a key player in the development of custom Large Language Models (LLMs) for legal research applications, and contribute to our innovative project's AI backend and React-based frontend.,

Extensive knowledge and skills in frameworks (like TensorFlow, Pytorch, Huggingface), • Expertise in Python and Visualization Python modules like matplotlib, seabor o REST API development using Flask, Fast API

Responsibilities: AI/ML Model Development: 1. Design and implement machine learning models and algorithms to address specific business needs. 2. Develop and optimize algorithms for accuracy, efficiency, and scalability. Data Analysis and Preprocessing: 1. Collect, preprocess, and analyze large datasets to extract meaningful insights. 2. Develop data pipelines and maintain data quality for model training and evaluation. Integration and Deployment: 1. Integrate machine learning models into existing systems and applications. 2. Deploy models in production environments and monitor their performance. Research and Innovation: 1. Stay updated with the latest advancements in AI and machine learning technologies. 2. Conduct research to explore new techniques and methodologies that can enhance our solutions. Collaboration: 1. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver effective solutions. 2. Provide technical guidance and support to team members and stakeholders.

Job overview: In this role, youll be part of our Data Science team. With a track record of innovation and taking large ML-based products from conception to delivering value, you will be responsible for developing ML and deep learning models to improve innovation within our Knowledge Graph curation. Your success will result in informed decision-making and stakeholder empowerment for Knowledge Graph use cases within Crayon. You will also directly impact the evolution of our content catalogue. Can you say Yes, I have! to the following? experience with developing solutions using machine learning, operation research and pattern searching methods on large scale data. B.E/B.Tech/MS in Machine Learning, Computer Science, Applied Statistics, Mathematics, or related fields. PhD is a plus Good understanding of statistical models like hierarchical models, stochastic models, time series, survival and econometric models Expert in at least one of the deep learning frameworks such as PyTorch, MxNet, or Tensor flow Hands-on experience in using Spark (Scala or Py spark) to process data at large scale and database schema design for ML pipelines a must Contribution to open-source ML packages/research publications will be a huge bonus

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Documentandcommunicatetechnicalspecifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 8-12 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required GenerativeAI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, Tensor Flow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning

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

Job Description: Core Skills 3+ years of hands-on experience in AI development, with a strong focus on Traditional AI , Generative AI , and Agent-based AI . Strong proficiency in Python , along with experience using AI libraries and frameworks like TensorFlow , PyTorch , Keras , Hugging Face , and others. Experience with Natural Language Processing (NLP) , Reinforcement Learning (RL) , Computer Vision , and Deep Learning . Solid understanding of AI algorithms , model training , data preprocessing , and evaluation metrics . Experience in working with cloud platforms such as AWS, Azure, or Google Cloud for deploying and scaling AI systems. Familiarity with Generative AI models (like GPT, DALL•E, etc.) and Agent-based systems (autonomous agents, bots, recommendation engines, etc.). Preferred Skills Experience with Generative AI technologies and creative AI solutions for content generation, such as text, images, or videos. Knowledge of AI ethics , bias mitigation , and explainability techniques in AI systems. Hands-on experience in Reinforcement Learning or Multi-Agent Systems . Understanding of DevOps principles and CI/CD pipelines for AI systems deployment. Experience with Data Engineering and working with large datasets. Soft Skills Strong problem-solving and analytical skills. Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders. Ability to lead a team, mentor junior developers, and foster collaboration across departments. Passionate about AI technology and continuous learning.