9 H2O Jobs

What Will You Do: Define the Data sourcing strategy and works with partners to procure data. Supply to IP creation for Ericsson in AI/ML. Research studies and creative usage of new and/or existing data sources. Work with Data Architects to use existing data models and build new ones as needed. Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists. Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MIs needs Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc. To be successful in the role you must have: Total 8 - 14 yrs of experience with proven skills of implementing a variety of Machine Learning techniques. Solid programming skills (R/Python) with proficiency in at least one. Proven track record of leading AI/ML projects end-to-end with complete ownership. Experience in Generative AI, conversation Assistant systems. Proven skills in building AI/ML based solutions using frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Experience in implementing new algorithms and methodologies from leading open source initiatives and research papers. Hands-on experience in designing and building AI models using Deep Neural Networks for applicable scenarios. Able to build and deploy AI models into production with focus on scaling, monitoring and performance. Sound knowledge of building explainable models (XAI) and prescriptive analytics. Show more Show less

As a Data Science professional with 3 to 8 years of experience, you will be responsible for utilizing your expertise in various aspects of Data Science such as Machine Learning, Text Analytics, Regression, Data Classification, and Prediction. Your proficiency in tools like Python, Power BI, SQL, and Tableau will be crucial for analyzing and interpreting data effectively. Additionally, you will work with platforms like H2O and DataRobot to enhance the analytical capabilities. Moreover, your role will involve deploying analytics code using platforms such as Azure, AWS, and on-premises methods. This position offers an opportunity to work on diverse projects and contribute to the development of innovative solutions. If you are passionate about Data Science and eager to apply your skills in a dynamic environment, we welcome you to join our team.,

At PwC, the focus in data and analytics revolves around leveraging data to drive insights and make informed business decisions. By utilizing advanced analytics techniques, our team helps clients optimize operations and achieve strategic goals. As a professional in data analysis at PwC, you will specialize in utilizing advanced analytical techniques to extract insights from large datasets, supporting data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently seeking individuals with a strong analytical background to join our Analytics Consulting practice. As a Senior Associate, you will be an essential part of business analytics teams in India, collaborating with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide business recommendations to project teams. **Years of Experience:** Candidates should possess 4+ years of hands-on experience. **Must Have:** - Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCPs Vertex AI platform, AWS SageMaker) - Knowledge of predictive/prescriptive analytics, particularly in the usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good knowledge of statistics, including statistical tests & distributions - Experience in Data analysis, such as data cleansing, standardization, and data preparation for machine learning use cases - Experience in machine learning frameworks and tools (e.g., scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) - Advanced level programming in SQL or Python/Pyspark - Expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) - Good communication and presentation skills **Roles And Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the U.S. as a subject matter expert to formalize data sources, acquire datasets, and clarify data & use cases for a strong understanding of data and business problems - Drive and conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Build storylines and deliver presentations to the client team and/or PwC project leadership team - Contribute to knowledge sharing and firm building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

Key Responsibilities: A day in the life of an Infoscion As part of the Infosys delivery team your primary role would be to ensure effective Design Development Validation and Support activities to assure that our clients are satisfied with the high levels of service in the technology domain You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers You would be a key contributor to building efficient programs systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you If you think you fit right in to help our clients navigate their next in their digital transformation journey this is the place for you Technical Requirements: Min 3 years of experience in Hadoop Administration working in production support projects Cloudera Certified Hadoop Administrator certification Must Experience in Installing configuring maintaining troubleshooting and monitoring Hadoop clusters and below components HDFS HBase Hive Sentry Hue Yarn Sqoop Spark Oozie ZooKeeper Flume Solr Experience in Installing configuring maintaining troubleshooting and monitoring of below Analytical tools and Integrating with Hadoop Datameer Paxata DataRobot H2O MRS Python R Studio SAS Dataiku Bluedata Very good at Job level troubleshooting Yarn Impala and other components Must Experience and Strong Knowledge of Unix Linux scripting Must Experience and knowledge on below tools Talend MySQl Galera Pepperdata Autowatch Netbackup Solix UDeploy RLM Troubleshoot development and production application problems across multiple environments and operating platforms Additional Responsibilities: Knowledge of design principles and fundamentals of architecture Understanding of performance engineering Knowledge of quality processes and estimation techniques Basic understanding of project domain Ability to translate functional nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of SDLC and agile methodologies Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Preferred Skills: Technology->Big Data - Hadoop->Hadoop,Technology->Big Data - Hadoop->Hadoop Administration->Hadoop

The position based in Chennai requires an ML Engineer with 3 to 8 years of experience to design and implement AI/ML models using Python, TensorFlow, PyTorch, and Scikit-learn. The role involves optimizing models, running experiments, transforming data through classification and clustering techniques, and staying updated on the latest advancements in AI/ML technologies. The ideal candidate should possess over 3 years of experience in Software Design & Development in Python, demonstrating the ability to make pragmatic technical decisions beyond immediate scope. The candidate should excel in debugging complex issues and mentoring junior engineers, with a solid understanding of Data Structures and Object-Oriented Programming. Proficiency in Test-Driven Development (TDD), Unit & Integration testing, experience with Databases, Statistics, and Data Science, along with strong Python skills to write robust and testable code are essential. Moreover, the candidate should have hands-on experience with ML frameworks such as Keras, PyTorch, and Scikit-learn, and familiarity with AutoML would be a plus. Knowledge of AI Cloud platforms like H2O, DataRobot, AWS, and Azure is desirable. The candidate should hold a Bachelor's degree or higher in any discipline. Key skills required for the role include Python, AI/ML, Keras, PyTorch, Scikit-learn, H2O, DataRobot, AWS, Azure, FastAPI/Flask, and proficiency with databases like MySQL, Oracle, or PostgreSQL. Familiarity with XML and Unit Testing is also necessary. Candidates who are passionate about restarting their careers after a long break are encouraged to apply.,

As an Artificial Intelligence Specialist at Gen AI, you will be responsible for driving customer conversations, understanding customer requirements, creating Gen AI solution architectures, and developing customer proposals and RFP responses. You will guide solution engineers in creating Gen AI POCs and solutions for various industry verticals. Your role will involve staying updated on the latest technology developments, industry best practices, and incorporating them into Gen AI applications. Additionally, you will design and deploy Proof of Concepts (POCs) and Points of View (POVs) across different industry verticals to showcase the potential of Generative AI applications. To qualify for this role, you should have at least 8 years of experience in software development, with a minimum of 3 years of experience in Generative AI solution development. A bachelor's degree or higher in Computer Science, Software Engineering, or related fields is required. You should be adept at critical thinking, logical reasoning, and have a strong ability to learn new industry domains quickly. Being a team player who can deliver under pressure is essential. Furthermore, you should have experience with cloud technologies such as Azure, AWS, or GCP, as well as a good understanding of NVIDIA or similar technologies. A solid appreciation of AI/ML concepts and sound design principles is necessary for this role. In terms of required skills, you should be extremely dynamic and enthusiastic about technology. Development experience with languages like C++, Java, JavaScript, HTML, C#, Python, or node.js is preferred. You should be able to adapt quickly to new challenges and evolving technology stacks. Excellent written and verbal communication skills in English are essential, along with strong analytical and critical thinking abilities. A customer-focused attitude, initiative-taking, self-driven nature, and the ability to learn quickly are also important qualities for this role. Knowledge of Python, ML Algorithms, Statistics, source code maintenance, versioning tools, Object-Oriented Programming Concepts, debugging, and analytical skills is required. Preferred skills for this position include at least 5 years of experience in ML development and MLOps. Strong programming skills in Python, knowledge of ML, Data, and API libraries, and expertise in creating end-to-end data pipelines are advantageous. Experience with ML models, ModelOps/MLOps, AutoML, AI Ethics, Trust, Explainable AI, and popular ML frameworks like SparkML, TensorFlow, scikit-learn, XGBoost, H2O, etc., is beneficial. Familiarity with working in cloud environments (AWS, Azure, GCP) or containerized environments (Mesos, Kubernetes), interest in understanding functional and industry business challenges, and knowledge of IT industry and GenAI use cases in insurance processes are preferred. Expertise in Big Data and Data Modeling is also desirable for this role.,

As a Senior Software Engineer on the AI Engineering Team at Cotiviti, you will be a leading force in developing robust, scalable machine learning solutions for healthcare applications. This senior-level position involves significant responsibility, including leading design and development efforts, mentoring junior engineers, and ensuring the delivery of high-quality solutions. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Math, or a related field, or equivalent experience 7+ years of experience with Hadoop tech stack (Spark, Kafka) Should have experience with batch processing on large scale data with Spark and real-time without Spark Proficiency in programming languages such as Scala or Python Extensive experience with Kafka and data streaming platforms Advanced knowledge of Data Bricks on AWS or similar cloud platforms Proven experience building and maintaining microservices Deep understanding of data architecture principles Experience leading design and development of large systems Proficiency with CI/CD tools like Jenkins Experience with Unix/Linux operating systems Familiarity with Agile processes and tools like Jira and Confluence Strong drive to learn and advocate for development best practices Strong knowledge on troubleshooting and optimizing Spark applications Preferred Qualifications: Experience with Data Bricks on Azure/AWS Experience with Kafka, DataStream/DataFrame/DataSet Advanced proficiency with containerization tools like Docker, Kubernetes Knowledge of machine learning frameworks and tools such as DataRobot, H2O, ML Flow Experience with big data tools like Spark, Scala, Oozie, Hive or similar Streaming technologies Kafka, SparkStreams, RabbitMQ Experience with Continuous Integration and Delivery, unit testing, and functional automation testing Having API development experience will be a good addition. Healthcare domain experience will be a plus. Responsibilities: Lead the development and implementation of machine learning solutions for healthcare applications Guide and mentor a team of developers and testers Collaborate with data scientists and other engineers to design and build scalable solutions Write, test, and maintain high-quality code along with Code coverage Lead design and code review sessions Troubleshoot and resolve complex technical issues Document your work and share knowledge with the team Advocate for and implement development best practices Train and mentor junior engineers and software engineers

Data Scientist with 5+ years of relevant experience in: Python, SQL, NLP, LLM, GenAI, H2O

Write in Python to deliver a wide variety of Machine Learning & Data Science solutions Implement models and algorithms on Databricks and H2O Build tools to accelerate feature experimentation and exploration with lineage, data privacy protection and easier model performance debugging Collaborate with Product Owners to apply Workdays agile processes and be responsible for the initiation, delivery, and communication of projects for the stakeholder organizations Build ML-as-a-service, with the purpose of taking experiments to production quickly Share learnings and project findings with the wider Workday Machine Learning Community Willing to work across multiple time zones What You will Bring Proficient experience in Python coding, SQL, Spark and experience developing models and other data science work with Python 3 - 4+ years of experience implementing models or machine learning algorithms in production Experience on any of these cloud platforms (AWS, Azure, GCP)