At the intersection of science and technology, Clovertex is a Life Sciences systems integrator specializing in architecting, building, automating, and managing scientific applications, databases, data lakes, and workflows using cloud computing technologies. Clovertex is an AWS Advanced Tier Partner. Our team has deep scientific domain experience and specializes in providing both IT and science-related services. To know more about us: www.clovertex.com Job Title: Full-Stack AI Developer (Generative AI & LLMs) Location: Hyderabad Job Description: We seek a highly skilled Full-Stack AI Developer to lead the development of cutting-edge AI solutions, specializing in generative AI and large language models (LLMs). You will be responsible for building end-to-end applications, from designing intuitive front-end to training and deploying robust backend models. Responsibilities: Front-End Development: Design and implement user-friendly interfaces for AI applications. Utilize modern web frameworks (e.g., React, Vue.js) to create engaging user experiences. Optimize front-end performance and responsiveness. Back-End Development: Build scalable and efficient backend systems to support AI model deployment. Design and implement RESTful APIs for seamless communication between front-end and back-end. Integrate with cloud platforms (e.g., AWS, Azure) for infrastructure management. AI Model Development: Train and fine-tune state-of-the-art generative AI and LLM models. Leverage deep learning frameworks (e.g., TensorFlow, PyTorch) for model development. Implement efficient inference pipelines for real-time model predictions. Data Engineering: Design and maintain robust data pipelines for model training and evaluation. Preprocess and clean large-scale datasets for optimal model performance. Implement data versioning and monitoring strategies. Preferred Qualifications: Graduate degree in Computer Science, Artificial Intelligence, or a related field. 5+ years of experience in full-stack development. 2+ years of experience in AI model development, particularly with generative AI and LLMs. Strong understanding of machine learning algorithms and natural language processing. Proficiency in Python and relevant AI frameworks (e.g., TensorFlow, PyTorch). Skills: Excellent communication and collaboration skills. Ability to work independently and in a team environment. Passion for staying updated with the latest advancements in AI. Bonus Points: Experience in the Biopharma industry. Experience with model optimization techniques (e.g., quantization, pruning). Contributions to open-source AI projects. Publications in relevant AI conferences or journals. Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees. Join our team and contribute to building cutting-edge software solutions that drive innovation and deliver exceptional value to our customers. If you are passionate about technology and enjoy working in a collaborative environment, we want to hear from you!
8+ years experience in Administration of MS SQL Server 2019, 2016, 2012, 2008 R2 and 2008 on standalone and cluster servers, SQL Always On. Strong DBA production supports an database upgrade/migration experience. Experience in database security management. Experience in in place upgrade and side by side upgrade and upgrade/migration to new hardware. Implementing and administration of backup/restoration, disaster recovery, High availability solution. Capacity management, Monitoring of overall health of servers in different environments. Analyzing data issues and providing fixes. Leading team level initiatives/process improvements/automation Releasing code changes and schema changes to production. Strong written and oral communication skills. Experienced in AWS (RDS, EC2, s3, instance migration/upgradation, RDS snapshot/cloning/restoration). Knowledge in AWS VPC, security, DMS. ITIL - Incident/Request/Change/Problem management Primary & Secondary Skills MSSQL Amazon RDS MongoDB basic administration Overall AWS services Power-shell scripting
Job Role: Senior Data Engineer Location: Hyderabad Experience Required: 5 - 7 years Job Type: Full-Time No of Positions: 01 We are looking for a skilled Data Engineer with a strong background in Oracle Cloud Infrastructure (OCI) and Oracle Data Integration tools . The ideal candidate will have hands-on experience in building, automating, and managing robust Data Warehousing and ETL solutions. Key Responsibilities Design and implement scalable Data Warehouse and Data Lake architectures using Oracle ADW, OCI Object Storage, and Data Catalog. Build and maintain ETL pipelines using Oracle Data Integrator (ODI), OCI Data Integration and Informatica services. Understanding Data Warehousing and Dimensional Modelling concepts very well. Develop and automate data processing workflows using Python, SQL, and PL/SQL. Support data validation, ingestion, transformation, and publishing processes. Optimize performance and cost of data infrastructure on OCI. Collaborate with business and analytics teams to define data models, KPIs, and metrics. Implement data governance, security policies, and compliance standards (GxP, HIPAA, etc.). Work in an Agile/Scrum environment to support project deliverables and production support. Qualifications & Skills Strong experience in Oracle Cloud Infrastructure (OCI): Object Storage, ADW, Data Catalog, Data Integration. Hands-on with ODI, Oracle Autonomous Database, and OIC (Oracle Integration Cloud). Strong skills in SQL, PL/SQL, Python, and data transformation logic. Experience with Shell scripting, Scheduling tools. Knowledge of Data lineage, Data Quality Frameworks, and Master Data Management. Familiarity with reporting/visualization tools like Tableau or APEX. Exposure to CI/CD, Git, and DevOps practices in a cloud data engineering setup. Preferred Qualifications Bachelor’s degree in Computer Science, Engineering, or related field. Oracle Certified Professional (OCP) or OCI Data Engineer certification is a plus. Experience in Life Sciences/Pharma, BFSI, or Regulatory Data domains.