Cassandra Jobs in Ahmedabad

Position: Database Developer/Administrator Job Summary: We are looking for an experienced Database Developer/Administrator to join our team and manage, optimize, and secure our database systems. The ideal candidate will have strong SQL development and database administration skills, with a focus on performance tuning, data modeling, and ensuring high availability and reliability of database systems. Key Responsibilities: Design, develop, and optimize complex SQL queries, stored procedures, and functions. Implement database schema changes and performance tuning strategies. Troubleshoot and resolve query performance issues. Install, configure, upgrade, and maintain database systems. Ensure database security, availability, and reliability. Perform regular database backups, restoration, and disaster recovery planning. Develop and maintain database architecture and data models. Design and implement data migration strategies between different systems. Establish best practices for database design and development. Lead a team of database developers and administrators. Mentor and guide junior team members in database best practices. Work closely with application developers, business analysts, and stakeholders to meet project requirements. Monitor database health, usage, and performance using monitoring tools. Conduct regular audits to ensure database integrity and consistency. Implement and maintain high availability and failover solutions. Ensure compliance with data protection and privacy regulations. Maintain up-to-date documentation for database systems and procedures. Required Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related field. 7+ years of hands-on experience in SQL development and database administration. Proficiency in database technologies like SQL Server, MySQL, PostgreSQL, or Oracle. Strong knowledge of query optimization, indexing, and database performance tuning. Experience with database backup and recovery, replication, and high availability solutions. Familiarity with database monitoring tools and technologies. Solid understanding of data modeling concepts and techniques. Knowledge of cloud-based databases and services (e.g., AWS RDS, Azure SQL Database) is a plus. Excellent problem-solving and analytical skills. If you are a skilled and experienced Database Developer/Administrator looking for an exciting opportunity, we encourage you to apply and contribute to the success of our team! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Minimum of (1+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, and other deep learning architectures (CNNS, RNNS, GANs, etc.) and familiarity with APIs like OpenAI or vertex AI Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Test and validate AI models to ensure they meet quality standards and fulfill business objectives. Proficiency in Python with the ability to get hands-on with coding at a deep level. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Minimum of (1+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.