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5.0 - 9.0 years

0 Lacs

karnataka

On-site

You have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will be executing creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Working with architecture and design leads across the Digital organization and broader JPMC organization on business and technical architecture of the platform will be a part of your responsibilities. You will also be conducting hands-on POCs to prove concepts/products, migration to internal and external clouds, migration to Microservices architectures and patterns, evaluating open source and vendor products, leading a small group of developers/scrum team, and designing distributed applications. To qualify for this role, you should have formal training or certification on software engineering concepts and at least 5 years of applied experience. Hands-on application design, coding, experience on Java 8/J2EE distributed application development, REST, good understanding of building services in the cloud, experience with messaging (Kafka) based integration and microservices, and programming with NoSQL/NPL are required capabilities. You should also have experience in ensuring successful design, development, testing, and implementation of application components for online applications using technologies including Core Java, J2EE technologies, web services, Tomcat, servlets, JSP, Messaging, Java, Spring, Spring Boot, AWS, or any cloud-related technologies. Additionally, hands-on practical experience in system design, application development, testing, and operational stability is essential. You should have experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages like Oracle, MySQL, or NoSQL databases like MongoDB. Demonstrable ability to code in one or more languages and experience across the whole Software Development Life Cycle will be beneficial for this role.,

Posted 3 days ago

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3.0 - 6.0 years

5 - 15 Lacs

Pune

Work from Office

Job Description: We are seeking a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, statistical modeling, and artificial intelligence. Experience with Natural Language Processing (NLP) is desirable. Experience delivering products that incorporate AI/ML, familiarity with Cloud Services such as AWS highly desirable. Key Responsibilities: Clean, prepare, and explore data to find trends and patterns Build, validate, and implement AI/ML models Extensively document all aspects of the work including data analysis, model development, results Collaborate with other team members teams to incorporate AI/ML models into software applications Stay updated with the laviptest advancements in AI/ML domain and incorporate into day-to-day work Required Skills/Qualifications: 3-5 years of experience in AI/ML related work Extensive experience in Python Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit- learn, Keras Experience with GenAI, LLMs, RAG architecture would be a plus Familiarity with cloud services such as AWS, Azure Familiarity with version control systems (e.g., Git), JIRA, Confluence Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro Knowledge of CI/CD pipelines and DevOps practices Experience delivering customer facing AI Solutions delivered as SaaS would be a plus Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Strong problem-solving skills and attention to detail Excellent verbal and written communication and teamwork skills Benefits: Competitive salary and benefits package Opportunity to work on cutting-edge technologies and innovative projects Collaborative and inclusive work environment Professional development and growth opportunities 8341137995-kavya.p

Posted 4 days ago

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2.0 - 4.0 years

3 - 8 Lacs

Chennai, Bengaluru

Work from Office

Experience Required 2 to 4 years of experience in AI/ML model development, deployment, and optimization. Hands-on experience in building machine learning pipelines and working with large datasets Domain Experience (Functional) Experience in domains such as natural language processing (NLP), computer vision, predictive analytics, or recommendation systems. Exposure to industry-specific AI applications (e.g., healthcare, finance, retail, manufacturing) is a plus. Qualification Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field Roles & Responsibilities Design, develop, and deploy machine learning and deep learning models. Collaborate with data engineers and domain experts to collect, clean, and preprocess data. Conduct experiments, evaluate model performance, and iterate for improvement. Integrate AI models into production systems and monitor their performance. Stay updated with the latest research and advancements in AI/ML. Document model development processes and contribute to knowledge sharing. Technical Skills Proficient in Python and core ML libraries: TensorFlow, PyTorch, Scikit-learn. Strong with Pandas, NumPy for data handling. Solid grasp of ML algorithms, statistics, and model evaluation. Familiar with cloud platforms (AWS/Azure/GCP). Experience with Git and basic CI/CD for model deployment

Posted 1 month ago

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