5 Neural Network Jobs

The role of S&C Global Network - AI - Marketing Analytics (MMM) Consultant at Accenture involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As part of the Analytics practice, you will collaborate with a global network of colleagues skilled in leading statistical tools and applications. From data analysis to actionable insights, you will provide issue-based recommendations to help clients achieve high performance. Accenture is committed to investing in your learning and growth, supporting you in expanding your tech stack and certifications. In Applied Intelligence, you will execute projects in the context of business performance improvement initiatives, emphasizing sound analytical decision-making. Responsibilities include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. The ideal candidate will have relevant experience in the domain, strong analytical and problem-solving skills, and the ability to thrive in a dynamic environment. In this role, you will be responsible for defining data requirements, cleaning and analyzing data, and developing AI/ML models. You should have at least 3 years of experience in Market Mix Modeling, proficiency in Statistical and Probabilistic methods, and hands-on experience with Python data science libraries. Additionally, you will work on developing and managing data pipelines, leveraging machine learning architectures, and deploying marketing mix models on cloud platforms. The desired candidate should have knowledge of SQL and cloud-based technologies, expertise in Market mix modeling techniques, and experience in data migration from cloud to Snowflake. Understanding of econometric/statistical modeling, machine learning algorithms, and proficiency in tools such as Excel, MS Word, and PowerPoint are essential requirements. This role offers the opportunity to work on innovative projects, grow your career, and gain leadership exposure. If you have 8 to 10 years of experience and a B.Com educational qualification, and if you possess the mentioned skills and expertise, we are looking for you to join our team at Accenture.,

As a Senior Data Scientist with our fast-growing team, you should possess a total of 7-8 years of experience, with a specific focus on 3-5 years in Machine & Deep Machine learning. Your expertise should include working with Convolution Neural Network (CNN), Image Analytics, TensorFlow, Open CV, among others. Your primary responsibilities will revolve around designing and developing highly scalable machine learning solutions that have a significant impact on various aspects of our business. You will play a crucial role in creating Neural Network solutions, particularly Convolution Neural Networks, and ML solutions based on our architecture supported by big data, cloud technology, micro-service architecture, and high-performing compute infrastructure. Your daily tasks will involve contributing to all stages of algorithm development, from ideation to design, prototyping, and production implementation. To excel in this role, you should have a solid foundation in software engineering and data science, along with a deep understanding of machine learning algorithms, statistical analysis tools, and distributed systems. Experience in developing machine learning applications, familiarity with various machine learning APIs, tools, and open source libraries, as well as proficiency in coding, data structures, predictive modeling, and big data concepts are essential. Additionally, expertise in designing full-stack ML solutions in a distributed compute environment is crucial. Proficiency in Python, Tensor Flow, Keras, Sci-kit, pandas, NumPy, AZURE, AWS GPU is required. Strong communication skills to effectively collaborate with various levels of the organization are also necessary. If you are a Junior Data Scientist looking to join our team, you should have 2-4 years of experience and hands-on experience in Deep Learning, Computer Vision, Image Processing, and related skills. We are seeking self-motivated individuals who are eager to tackle challenges in the realm of AI predictive image analytics and machine learning.,

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 AI-ML Architect, you will leverage your 10+ years of experience in developing systems software on Windows or Linux to build, train, and optimize neural network data analytics applications. Your hands-on expertise with Deep Learning frameworks such as Pytorch, TensorFlow, or Caffe will be instrumental in enhancing network performance at kernel level for scalability across hardware. You will play a crucial role in developing, training, and tuning Deep Learning software/models while also exploring techniques like Reinforcement Learning, Transfer Learning, and Federated Learning. Your proficiency in Python programming and C/C++ programming, coupled with solid web service development experience, especially in REST API, will enable you to automate deployment, management, scaling, and networking utilizing Dockers and Kubernetes. Experience with Open Vino, One API DPC++, OpenCL, CUDA programming is preferred. Your familiarity with MLOps, Deep learning infrastructure, microservices architecture, and cloud/distributed infrastructure will be key in designing cutting-edge AI solutions. If you are passionate about AI and possess a strong technical background, this role in Bangalore offers an exciting opportunity to drive innovation in AI-ML architecture and contribute to the development of advanced technologies.,

As a Machine Learning Expertise, you will be responsible for developing and implementing machine learning algorithms for tasks such as pattern recognition, classification, and prediction. Your role will involve designing and building robust neural network architectures for various applications. Utilizing statistical methodologies to analyze data, optimize model performance, and ensure model interpretability will be a key aspect of your responsibilities. It will also be essential to stay up-to-date on the latest advancements in machine learning research and explore new techniques to enhance our AI capabilities. In the domain of Software Development & Tools, you should demonstrate proficiency in the Python programming language and be familiar with machine learning libraries/frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with SQL for data access and manipulation to support model development is required. Additionally, utilizing cloud platforms and tools for efficient model training, deployment, and management would be considered advantageous. Your role will also involve Data Analysis & Modeling, where you will collaborate with data scientists and engineers to understand business needs and translate them into technical requirements for AI models. Tasks such as cleaning, pre-processing, and preparing data for machine learning will be part of your routine. Evaluating and interpreting the performance of machine learning models, along with making adjustments for continuous improvement, will be crucial. In terms of Technical Skills & Background, having a strong foundation in computer science principles and algorithms is essential. You should have proven experience in applying statistical methods for data analysis and model optimization. To be considered for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A minimum of 5 years of experience in machine learning engineering or a relevant field is required. Expertise in pattern recognition and neural network architectures, proficiency in Python, SQL, and machine learning tools, as well as strong analytical and problem-solving skills are prerequisites. Excellent communication and collaboration skills are highly valued, and experience in the AI/ML industry is a plus, though not mandatory.,