800 Neural Networks Jobs - Page 7

Job Description: As an Artificial Intelligence Consultant at Hitachi Solutions, you will be responsible for utilizing your experience and expertise in intelligent algorithms to develop solutions that can learn, analyze, and predict future events. With a focus on creating machines capable of reasoning like the human brain, you will play a crucial role in analyzing the functioning of the human brain to build computer programs with cognitive abilities. You should possess a deep understanding of concepts such as Confidence Score, Deep Learning, Neural networks, and the ability to analyze 3D models while comprehending the geometry of objects. Experience in UI/UX is a definite plus, and familiarity with industry-standard 3D graphics software such as 3DS Max, Maya, Substance, etc., would be advantageous. Hitachi Solutions values individuals who are innovative, analytical, and committed to delivering high-quality solutions to clients. Join our team of consultants and developers to contribute to cutting-edge projects and help shape the future of artificial intelligence technology. Qualifications: - Experience: 2-3 years - Proficiency in intelligent algorithms and machine learning - Strong understanding of Confidence Score, Deep Learning, Neural networks - Ability to analyze 3D models and object geometry - UI/UX experience is preferred - Familiarity with industry-standard 3D graphics software is a plus If you are passionate about artificial intelligence and eager to work on challenging projects, we welcome you to apply for the Artificial Intelligence Consultant position at Hitachi Solutions.,

Overview We are seeking a highly skilled and motivated Data Scientist (LLM Specialist) to join our AI/ML team. This role is ideal for an individual passionate about Large Language Models (LLMs) , workflow automation, and customer-centric AI solutions. You will be responsible for building robust ML pipelines , designing scalable workflows, interfacing with customers, and independently driving research and innovation in the evolving agentic AI space . Responsibilities LLM Development & Optimization: Train, fine-tune, evaluate, and deploy Large Language Models (LLMs) for various customer-facing applications. Pipeline & Workflow Development: Build scalable machine learning workflows and pipelines that facilitate efficient data ingestion, model training, and deployment. Model Evaluation & Performance Tuning: Implement best-in-class evaluation metrics to assess model performance, optimize for efficiency, and mitigate biases in LLM applications. Customer Engagement: Collaborate closely with customers to understand their needs, design AI-driven solutions , and iterate on models to enhance user experiences. Research & Innovation: Stay updated on the latest developments in LLMs, agentic AI , reinforcement learning with human feedback (RLHF), and generative AI applications. Recommend novel approaches to improve AI-based solutions. Infrastructure & Deployment: Work with MLOps tools to streamline deployment and serve models efficiently using cloud-based or on-premise architectures, including Google Vertex AI for model training, deployment, and inference. Foundational Model Training: Experience working with open-weight foundational models , leveraging pre-trained architectures, fine-tuning on domain-specific datasets, and optimizing models for performance and cost-efficiency. Cross-Functional Collaboration: Partner with engineering, product, and design teams to integrate LLM-based solutions into customer products seamlessly. Ethical AI Practices: Ensure responsible AI development by addressing concerns related to bias, safety, security, and interpretability in LLMs. Programming Skills: Proficiency in Python and experience with ML frameworks like TensorFlow, PyTorch LLM Expertise: Hands-on experience in training, fine-tuning, and deploying LLMs (e.g., OpenAI’s GPT, Meta’s LLaMA, Mistral, or other transformer-based architectures). Foundational Model Knowledge: Strong understanding of open-weight LLM architectures , including training methodologies, fine-tuning techniques, hyperparameter optimization, and model distillation . Data Pipeline Development: Strong understanding of data engineering concepts , feature engineering, and workflow automation using Airflow or Kubeflow . Cloud & MLOps: Experience deploying ML models in cloud environments like AWS, GCP (Google Vertex AI), or Azure using Docker and Kubernetes . Model Serving & Optimization: Proficiency in model quantization, pruning, distillation, and knowledge distillation to improve deployment efficiency and scalability. Research & Problem-Solving: Ability to conduct independent research , explore novel solutions , and implement state-of-the-art ML techniques. Strong Communication Skills: Ability to translate technical concepts into actionable insights for non-technical stakeholders. Version Control & Collaboration: Proficiency in Git, CI/CD pipelines , and working in cross-functional teams . Qualifications Bachelor’s degree. Advanced degree–masters or PhD-strongly preferred in Statistics, Mathematics, Data / Computer Science or related discipline 2-5 years experience Statistics modeling and algorithms Machine Learning Experience–including deep learning and neural networks, genetics algorithm etc. Working knowledge Big Data–Hadoop, Cassandra,Spark R. Hands-on experience preferred Data Mining Data Visualization and visualization and analysis tools including R Work/Project experience in sensors, IoT, mobile industry highly preferred Excellent verbal and written communication Comfortable with presenting to senior management and CxO level executives Self motivated and self starter with high degree of work ethic

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, developing predictive models, and providing insights that support strategic decision-making across the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI/ML models to ensure optimal performance and relevance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with programming languages such as Python or R for data analysis.- Familiarity with machine learning frameworks and libraries, including TensorFlow or Scikit-learn.- Knowledge of data visualization tools to effectively communicate insights. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and best practices within the team and across departments.- Mentor junior professionals to enhance their skills and understanding of data science methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data.- Experience with machine learning frameworks and libraries such as TensorFlow or PyTorch.- Familiarity with programming languages such as Python or R for data analysis.- Knowledge of data visualization techniques to effectively communicate insights. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are seeking a skilled Generative AI Engineer to build and deploy agentic systems leveraging LLMs and autonomous task execution. The role involves developing intelligent AI agents that perform reasoning, planning, and goal-directed behaviours. Roles & Responsibilities:- Design and develop intelligent AI agents using LLM frameworks such as LangChain, AutoGen, or AWS Agent Squad.- Fine-tune and deploy large language models (LLMs) for task-specific applications- Integrate tools, APIs, and external systems into agent workflows for enhanced functionality- Implement context handling, memory modules, and retrieval-augmented generation (RAG) pipelines- Develop robust backend systems for real-time agent inference and data processing- Monitor, evaluate, and iteratively improve agent behaviour, output quality, and latency- Collaborate with cross-functional teams to translate business needs into AI capabilities Professional & Technical Skills: - Strong analytical and problem-solving skills- Ability to work independently in fast-paced, research-oriented environments- 4-8 years in AI/ML or software engineering, with 12 years working directly on GenAI or autonomous agents- Proficiency in Python with experience in ML/AI libraries such as PyTorch or TensorFlow- Hands-on experience with LLMs (GPT, Claude), prompt engineering, and embeddings- Familiarity with vector databases (e.g., Weaviate, Pinecone) and RAG pipelines- Experience in using LangChain, AutoGen, or similar agentic frameworks- Exposure to Docker, REST APIs, and cloud platforms (AWS) Additional Information:- The candidate should have minimum 7.5 years of experience in Machine Learning.- Bachelors or masters degree in computer science, Artificial Intelligence, or a related field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will engage in the critical assessment of artificial intelligence systems to ensure they meet established thresholds and benchmarks for responsible, ethical, and sustainable practices. Your typical day will involve designing and implementing technology mitigation strategies that uphold ethical standards, collaborating with various teams to address challenges, and contributing to the development of innovative solutions that promote responsible AI usage across the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate training sessions to enhance team understanding of responsible AI practices.- Monitor and evaluate the effectiveness of implemented strategies to ensure compliance with ethical standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Strong understanding of ethical AI frameworks and guidelines.- Experience in developing and implementing technology mitigation strategies.- Familiarity with AI system assessment methodologies.- Ability to analyze and interpret data related to AI performance and ethics. Additional Information:- The candidate should have minimum 12 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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

Analyse large, complex datasets to identifymeaningful trends and insights. Build impactful dashboards and visualizationsusing Tableau, Power BI, or Python-based tools like Plotly/Dash. Apply statistical methods such as hypothesistesting, regression, and probability distributions. Conduct exploratory data analysis (EDA) touncover data patterns and inconsistencies. Implement foundational ML techniques(classification, clustering, regression) and evaluate them using metrics likeprecision, recall, F1 score, ROC-AUC. Write clean and modular Python code for datatransformation and analysis. Collaborate with tech teams for model or scriptdeployment (bonus for Docker/CI-CD familiarity). Communicate findings effectively with bothtechnical and non-technical stakeholders. IdealCandidate Profile Core Skills: Strong Pythonprogramming (API work, automation scripts, data pipelines). Data wrangling, cleaning, and EDA SQL for querying structured data ML concepts (logistic regression, clustering, decisiontrees) Basic understanding of DL (neural networks, CNNs,RNNs) Statistical analysis and hypothesis testing Data visualization with Tableau, Power BI, or Python libraries Mindset/Behavioural: PracticalThinker: Chooses the right level of complexity to get useful, timely solutions. Patient andAdaptable and stays calm, pivot fast, and deliver. Requirementsand goals shift frequently in our fast-paced environment. Fast Learner:New tools, new APIs, new business challenges , and we expect you to pick themup quickly. StrongCommunicator: Able to explain insights in plain English to non-technical teams. Team Player:We build as a company and as a team. Collaboration and helping each other growis part of the job. ProcessReader: Must have the ability to carefully read documents, understand providedprocesses, and replicate solutions as required. Open to mentoring juniors, teaching along the way. Diveinto large, complex datasets to identify hidden patterns and anomalies Extractmeaningful trends to support strategic decision-making Performin-depth user behaviour analysis to improve productfeatures and engagement Conduct performanceoptimization using statistical techniques and dataexperimentation Enable strategicforecasting for business and product planning throughpredictive modeling Usedata storytelling to translate complex findings into clear, actionable insights Applya mix of statistics , machine learning , and visualanalytics to solve real-world problems. Strengtheninternal datasets by sourcing and integrating relevant external data using APIsand third-party platforms. Supportcross-functional stakeholders with insights that drive measurable businessimpact . You hold a degree in Mathematics, Statistics, Computer Science,Engineering, or related fields. You have 1-2 years of experience in data analysis orrelated analytical work. You are passionate about solving real-world problems with data. Can collaborate closely with non-technical businessstakeholders.

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

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

Key Responsibilities: Lead the AI development team, providing technical guidance and mentorship. Architect and develop scalable AI and machine learning models tailored to business needs. Collaborate with product managers, data engineers, and stakeholders to define AI project requirements. Drive innovation by researching and implementing state-of-the-art AI/ML algorithms and technologies. Oversee end-to-end AI lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring. Ensure AI solutions adhere to best practices in ethics, fairness, and data privacy. Optimize models for performance, scalability, and interpretability. Manage code quality through reviews, testing, and documentation. Stay updated with emerging trends and integrate relevant advances into projects. Coordinate cross-functional teams to integrate AI capabilities into products.

Key Responsibilities: Develop, fine-tune, and deploy large language models (LLMs) and advanced NLP algorithms. Design scalable architectures to integrate LLM capabilities into products and services. Work with unstructured text data: preprocessing, tokenization, embedding, and feature engineering. Optimize model performance, latency, and cost for production environments. Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver AI-powered solutions. Stay abreast of the latest research in LLMs, transformers, and NLP, and apply innovations. Build pipelines for data ingestion, model training, evaluation, and deployment. Ensure ethical use of AI and compliance with data privacy regulations. Mentor junior developers and contribute to code reviews and knowledge sharing.

Role & responsibilities We're looking for a visionary AI Research and Innovation Practitioner to develop new algorithms, enhance existing models, and explore novel applications of AI to address complex challenges faced by our clients. The position is open across multiple areas of AI and Gen including Speech and Audio, Computer Vision, Natural Language Processing and Multimodal AI. We also have emerging research tracks on Agentic AI autonomous, goal driven intelligent systems that can reason, plan, and adapt using AI and experienced in Artificial Intelligence/Machine Learning/Natural Language Processing/Computer Vision/Speech Processing/Multi Modal Processing. Key responsibilities: (a) Building novel solutions to the challenging problem faced by industry (b) Collaboration with Responsible AI, Delivery leads, and Academia (c) Real world applications: digital assistants, healthcare agents, enterprise automation (d) Leading research and publishing in top tier conferences (e) Mentoring and building the next wave of AI talent. Educational Qualification : Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes like IITs, IISc, IIITs and ISIs Location: Bangalore, Hyderabad, Mumbai, Pune, Chennai, Gurgaon, and NCR

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

The ideal candidate for this position in Ahmedabad should be a graduate with at least 3 years of experience. At Bytes Technolab, we strive to create a cutting-edge workplace infrastructure that empowers our employees and clients. Our focus on utilizing the latest technologies enables our development team to deliver high-quality software solutions for a variety of businesses. You will be responsible for leveraging your 3+ years of experience in Machine Learning and Artificial Intelligence to contribute to our projects. Proficiency in Python programming and relevant libraries such as NumPy, Pandas, and scikit-learn is essential. Hands-on experience with frameworks like PyTorch, TensorFlow, Keras, Facenet, and OpenCV will be key in your role. Your role will involve working with GPU acceleration for deep learning model development using CUDA, cuDNN. A strong understanding of neural networks, computer vision, and other AI technologies will be crucial. Experience with Large Language Models (LLMs) like GPT, BERT, LLaMA, and familiarity with frameworks such as LangChain, AutoGPT, and BabyAGI are preferred. You should be able to translate business requirements into ML/AI solutions and deploy models on cloud platforms like AWS SageMaker, Azure ML, and Google AI Platform. Proficiency in ETL pipelines, data preprocessing, and feature engineering is required, along with experience in MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across different hardware architectures is necessary. Knowledge of Natural Language Processing (NLP), Reinforcement Learning, and data versioning tools like DVC or Delta Lake is a plus. Skills in containerization tools like Docker and orchestration tools like Kubernetes will be beneficial for scalable deployments. You should have experience in model evaluation, A/B testing, and establishing continuous training pipelines. Working in Agile/Scrum environments with cross-functional teams, understanding ethical AI principles, model fairness, and bias mitigation techniques are important. Familiarity with CI/CD pipelines for machine learning workflows and the ability to communicate complex concepts to technical and non-technical stakeholders will be valuable.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. Your unique voice and perspective are valued to help EY become even better. Join us and contribute to building an exceptional experience for yourself and creating a better working world for all. As a part of our EY - Technology Risk team, you will contribute technically to IT Risk and Assurance client engagements as well as internal projects. Your role will involve actively establishing, maintaining, and strengthening internal and external relationships. You will also be responsible for identifying potential business opportunities for Ernst & Young within existing engagements and escalating them as appropriate. Anticipating and identifying risks within engagements and sharing any issues with senior team members will also be part of your responsibilities. The opportunity entails helping clients navigate the complex world of modern data science and analytics. You will provide advice to clients on designing, implementing, stabilizing, and optimizing internal controls using cutting-edge and scalable AI & Big Data technologies. Your key responsibilities include: - Building and leveraging cutting-edge Gen AI & Big Data platforms to deliver insights for comprehensive Risk & Controls monitoring mechanisms. - Creating executive reporting, proposals, and marketing material with the highest quality deliverables. - Collaborating within the team to solve technical challenges in the design and development of the next-generation AI & Data-led Risk technology platform. To qualify for this role, you must have: - 4+ years of working experience in Large Scale AI/ML models and data science. - Deep understanding of statistics, AI/ML algorithms, and predictive modeling. - Proficiency in AI/ML programming languages like Python, R, and SQL. - Expertise in machine learning algorithms and data mining techniques including deep learning algorithms. - Strong programming skills in Python with machine learning libraries such as Scikit-learn, Pandas, NumPy, etc. - Knowledge of tools such as Docker, Kubernetes, Git, and deep learning frameworks like TensorFlow, PyTorch, or Keras. Ideally, you'll also have a Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus. Being self-driven, a creative problem solver, and enjoying the fast-paced environment of software development are qualities that are valued. At EY, you will have opportunities to work with leading businesses globally and develop your skills and career. You will work on inspiring and meaningful projects, receive support, coaching, and feedback from engaging colleagues, and have the freedom and flexibility to handle your role in a way that suits you. EY is committed to building a better working world by creating long-term value for clients, people, and society through trust, data, and technology.,

As a science and technology leader with over 30 years of experience in developing software solutions for physics-based and machine learning-based chemical simulations and predictive analyses, Schrdinger is looking for an application-focused Materials Informatics & Optoelectronics Scientist to join in the mission of improving human health and quality of life through the application of advanced computational methods. Joining the Materials Science team at Schrdinger will provide you with the opportunity to work on diverse projects in optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals. You will love this job if you are a statistical and machine learning expert with robust problem-solving skills, a materials science enthusiast familiar with RDkit, MatMiner, Dscribe, or other informatics packages, a proficient Python programmer and debugger with knowledge of machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorch, an experienced researcher with hands-on experience in extracting datasets using large language models (LLM) or Optical Character Recognition (OCR) technologies, and a specialist in quantum chemistry or materials science who enjoys collaborating with an interdisciplinary team in a fast-paced environment. Your responsibilities will include researching, curating, and analyzing datasets from literature and other sources using advanced techniques such as LLMs and OCR, working with domain experts to ensure the accuracy and quality of data (such as molecular structures, SMILES strings, experimental measurements, etc), developing and validating predictive machine learning models for OLED devices and other optoelectronic applications, communicating results and presenting ideas to the team, developing tools and workflows that can be integrated into commercial software products, and validating existing Schrdinger machine learning products using public datasets or internally generated datasets. To be successful in this role, you should hold a PhD in Chemistry or Materials Science, have hands-on experience with the application of machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals, and experience with LLM, OCR technologies, and the extraction of datasets for ML model development.,

6-10 Years of experience in implementing IT Operations Management, Discovery, Monitoring, and AIOps solutions Experience of implementing BMC Helix ITOM / ITSM for at least 1 customer Design, Engineering and development experience on AIOPS and analytics solutions Strong understanding and experience on Machine Learning algorithms for various AIOPS use cases such as classification, clustering, and anomaly detections Understanding of ITOM strategic approach to generative AI and Knowledge of configuring and obtaining the appropriate license to use GenAI capabilities Working Experience with one or more Hyper scalar AI/ GenAI offerings such as Azure OpenAI, Google Vertex, Llama Understanding on GenAI implementations Foundation models, Fine tuning, RAG, Prompt engineering Working knowledge and understanding on development of ML models based on a widely used variety of ML algorithms like classifier algorithms (Linear, Logistics, decision tree, Support Vector, KNN, Random forest), clustering / outlier algorithms (K means, mean shitfing, DBSCAN, GMM, Hierarchical Clustering, etc), neural networks (ANN, RNN, etc) Development experience on GenAI/ML/NLP for IT Operations use cases Strong prior experience on development and or/implementation of ITOM, ITSM and APM tools like OpenText OpsBridge, IBM Netcool, Sciencelogic, ServiceNow, BMC Remedy, OTRS, CA APM, Appdynamics, Dynatrace, ServiceNow Orchestrator, BMC Atrium Orchestrator, OpenText Operations Orchestrator Strong experience and background of IT Operations Management processes, IT Service Management Strong understanding of IT Operations Automation concepts and ability to leverage GenAI techniques for enabling it Strong understanding of Cloud & infrastructure technologies such as virtualization, hyper converged infrastructure, as a service, Software defined networks, servers, and storages

Our Company We re Hitachi Digital, a company at the forefront of digital transformation and the fastest growing division of Hitachi Group. We re crucial to the company s strategy and ambition to become a premier global player in the massive and fast-moving digital transformation market. Our group companies, including GlobalLogic, Hitachi Digital Services, Hitachi Vantara and more, offer comprehensive services that span the entire digital lifecycle, from initial idea to full-scale operation and the infrastructure to run it on. Hitachi Digital represents One Hitachi, integrating domain knowledge and digital capabilities, and harnessing the power of the entire portfolio of services, technologies, and partnerships, to accelerate synergy creation and make real-world impact for our customers and society as a whole. Imagine the sheer breadth of talent it takes to unleash a digital future. We don t expect you to fit every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. The Team: Hitachi Digital is a leader in digital transformation, leveraging advanced AI technologies to drive innovation and efficiency across various operational companies (OpCos) and departments. We are seeking an experienced Lead AI Engineer to spearhead our new AI initiatives and enhance our existing Agentic AI capabilities. This role will involve building new AI products and refining current models to meet the evolving needs of our business. The role: Lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality. Enhance and refine existing Agentic AI capabilities to improve performance and scalability. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Conduct research and stay updated on the latest advancements in AI technologies and methodologies. Optimize AI models for performance, scalability, and accuracy. Troubleshoot and resolve complex issues related to AI systems and applications. Document AI development processes, methodologies, and best practices. Mentor junior developers and participate in code reviews, providing constructive feedback to team members. What you ll bring: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 7+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI. Strong programming skills in languages such as Python, Java, or C++. Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus. Experience with GPU-based AI model development is a plus. Prior experience with Generative AI (GenAI) and Large Language Models (LLMs) is required. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar. Knowledge of machine learning algorithms, neural networks, and natural language processing. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Familiarity with data science tools and techniques. Previous experience in a similar role within a tech-driven company. About us We re a global, 1000-strong, diverse team of professional experts, promoting and delivering Social Innovation through our One Hitachi initiative (OT x IT x Product) and working on projects that have a real-world impact. We re curious, passionate and empowered, blending our legacy of 110 years of innovation with our shaping our future. Here you re not just another employee; you re part of a tradition of excellence and a community working towards creating a digital future. #LI-RC Championing diversity, equity, and inclusion Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We re proud to say we re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. - Grade Specific Oversees the data science function within an organization and plays a crucial role in leveraging data-driven insights to drive business growth and innovation

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Engage with project activities across the Information lifecycle. Understanding client requirements, develop data analytics strategy and solution that meets client requirements Apply knowledge and explain the benefits to organizations adopting strategies relating to NextGen/ New age Data Capabilities Be proficient in evaluating new technologies and identifying practical business cases to develop enhanced business value and increase operating efficiency Architect large scale AI/ML products/systems impacting large scale clients across industry Own end to end solutioning and delivery of data analytics/transformation programs Mentor and inspire a team of data scientists and engineers solving AI/ML problems through R&D while pushing the state-of-the-art solution Liaise with colleagues and business leaders across Domestic & Global Regions to deliver impactful analytics projects and drive innovation at scale Assist sales team in reviewing RFPs, Tender documents, and customer requirements Developing high-quality and impactful demonstrations, proof of concept pitches, solution documents, presentations, and other pre-sales assets Have in-depth business knowledge across a breath of functional areas across sectors such as CPRD/FS/MALS/Utilities/TMT Your Profile B.E. / B.Tech. + MBA (Systems / Data / Data Science/ Analytics / Finance) with a good academic background Minimum 10 years + on Job experience in data analytics with at least 7 years ofCPRD, FS, MALS, Utilities, TMT or other relevant domain experience required Specialization in data science, data engineering or advance analytics filed is strongly recommended Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision Good, applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc. At least 7 years experience deploying digital and data science solutions on large scale project is required At least 7 years experience leading / managing a data Science team is required Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Course5 is looking for AI Engineer to join our dynamic team and embark on a rewarding career journeyDesigning and developing AI algorithms and models to solve specific business problems.Creating and maintaining databases for storing and processing large amounts of data.Developing and deploying machine learning and deep learning models.Implementing and integrating AI solutions with existing systems and software.Analyzing and interpreting complex data sets to extract insights and drive decision-making.Collaborating with cross-functional teams to develop and deploy AI applications.Ensuring the security and privacy of data used in AI applications.Communicating and presenting technical information to non-technical stakeholders.Excellent communication skills & attention to detail.

At 5X, we help companies organize their data and make it actionable. Founded by engineers who built data platforms at hypergrowth companies, we saw first-hand the complexity and fragmentation plaguing modern data stacks. That s why we created 5X an end-to-end data and AI platform that unifies data tooling, streamlines operations, and empowers teams to build with data without drowning in integrations and vendor sprawl. Responsibilities Understand and analyse clients business requirements to design and implement effective data solutions. Create and optimize data models to support client reporting and analytics needs. Proactively communicate with clients to provide project updates and address any issues or concerns. Comfortable to travel to meet customers in the US and go deeper on projects Provide mentorship and guidance to junior team members. Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes. Qualifications We are looking for people in Medellin, Colombia with Valid US Visa and 5+ years of experience in data science/analytics, with a proven track record of successfully delivering end-to-end data solutions. Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development. Experience in designing, developing, and deploying machine learning models into production environments. Proficient in supervised and unsupervised learning techniques, such as regression analysis, treebased models, and neural networks. Experience in working with ML modules such as scikit-learn, tensorflow Proficiency in SQL and Python for data manipulation and analysis. Experience in working with python modules such as pandas, numpy, matplotlib Strong understanding of business processes with a proven ability to collaborate with crossfunctional teams, identify pain points, and implement data-driven solutions. Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus. Experience with modern data stack tools (such as fivetran,dbt) Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision. About 5X We re a global, remote-first company building the platform we wish we had and today, it powers the data teams building what s next. At 5X, we combine deep technical expertise with a culture of ownership, creativity, and fun. Whether youre designing data pipelines or hosting team trivia, we believe in working hard, delivering exponential value, and enjoying the journey. Why work with us We prioritize Outsized Impact: Everything we do is centered around driving exponential value to our customers. Our customers find it impossible to think of a world outside of 5X. We are committed to Holistic Wellness: The 4 empires which determine our overall wellbeing are the mental, emotional, physical and spiritual empires. At 5X prioritize all 4. We wholeheartedly embrace remote work: If we can t build it from a hammock in Bali, we re doing something wrong. 5X fully embraces remote work. We trust you will find the right balance. Transparency is fundamental to us: We put everything on the table for everyone to see. This means that you have our permission to ask the tough questions and we will answer. We dont like playing political games. Togetherness is at the core of our culture: We work together to maximize our potential. We are there for each other and treat others as we expect to be treated. This is the 5X Family and we are better together! Offsite: 1 team offsite a year to incredible destinations.

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

Role: AI Video Creator Intern for Gen AI Content Tenure- 3 months (PPO basis performance and company needs) What were looking for: -Experience in film production, animation, and content creation. -Familiarity with AI tools for content creation. If you meet these requirements and are excited to be part of a dynamic team