7 Generative Jobs

Skill Sets Required: We're looking for someone with experience of automated testing, particularly from an Agile development or CI/CD environment. Youll be an innovative thinker who can identify opportunities and design solutions, coupled with the ability to develop complex automation code. Youll have a good understanding of Agile methodologies with experience of working in an Agile team, with the ability to relate everyday work to the strategic vision of the feature. We'll also look for you to have: Minimum 7-12 years of experience in Java, Selenium WebDriver, BDD (Cucumber, Gherkin) Solid experience in Automation Framework Design, Enhancements and Design patterns Hands on with Git, GitLab and CI/CD pipeline triggered automation execution Strong SQL skills for data validation, data extraction and data transformation tasks Experience in In-sprint automation and agile delivery Experience in API automation. Good to have skills – Python scripting knowledge. Exposure to Data Science or Generative AI (Certification or Hands on project) Additional expectations – Strong problem-solving skills and ability to drive automation best practices. Excellent communication and collaboration skills.

Hi All, We are looking for "Gen AI Engineer" for MNC Company, Experience- 4-12 Years Location- Pan India (Hybrid Mode) Notice Period- Immediate Joiner Mandatory Skills:- Gen AI Azure Cognitive Services Python JD - GenAI Engineer/Developer Role Overview: We are seeking a skilled OpenAI Developer to join our dynamic team. The ideal candidate will have a robust understanding of AI and machine learning, with particular expertise in integrating OpenAI models with Microsoft's Power Platform (including Power Automate and Power Virtual Agents), Azure Cognitive Services, and agentic AI frameworks. This role also requires experience in Azure deployment of AI solutions and modern Autogen-based architectures for building intelligent multi-agent systems. Key Responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python or .NET to support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python or .NET for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools. if anyone interested for this position please share your resume on this Mail Id:- priya.singhal@thehrsolutions.in

Job Description: Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) • Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. • Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) • Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning • Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models • Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. • Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) • Experience applying various machine learning techniques and understanding the key parameters that affect their performance • Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs • Excellent verbal and written communication • Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: • Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: • Connect with internal / external POC to understand the business requirements • Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis • Create project plan and sprints for milestones / deliverables • Spin VM, create and optimize clusters for Data Science workflows • Create data pipelines to ingest data effectively • Assure the quality of data with proactive checks and resolve the gaps • Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms • Research whether similar solutions have been already developed before building ML models • Create optimized data models to query relevant data efficiently • Run relevant ML / DL algorithms for business goal seek • Optimize and validate these ML / DL models to scale • Create light applications, simulators, and scenario builders to help business consume the end outputs • Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively • Integrate and operationalize the models in client ecosystem • Document project artifacts and log failures and exceptions. • Measure, articulate impact of DS projects on business metrics and finetune the workflow based on feedbacks

Design, develop, and deploy applications supporting pharmacovigilance systems Build and maintain E2E data reconciliation tools for adverse events and product complaints Develop AI-based solutions using Generative AI / LLMs (e.g., GPT) to drive decision-making and process efficiency Rapidly prototype new concepts into functional code Perform code reviews and ensure adherence to coding standards and best practices Create and maintain architecture, design, deployment, and disaster recovery documentation Identify and resolve technical challenges and production issues Collaborate with cross-functional teams to gather requirements and prioritize enhancements Ensure compliance with GxP validation and change control processes Drive automation and continuous improvement across drug-safety systems Provide root cause analysis and support for pharmacovigilance-related systems Ensure system architecture aligns with enterprise development standards Stay updated on emerging trends in software, AI, and safety platforms Functional Skills Must-Have Skills Proficiency in database programming and modeling using Oracle SQL and PostgreSQL Hands-on experience with Java or Python development Familiarity with reporting tools like Tableau, Cognos, Business Objects Working knowledge of AI/ML, NLP, NLG, and RPA technologies Experience with API integrations (MuleSoft) and ETL tools (Informatica, Databricks) Deep understanding of the Software Development Life Cycle (SDLC) Good-to-Have Skills Experience with COTS Pharmacovigilance Platforms (e.g., Argus Safety) Knowledge of GxP system management and validation SAFe Agile Software Engineer certification Soft Skills Excellent communication and collaboration skills Strong analytical and problem-solving mindset Ability to work in global, virtual teams with minimal supervision High self-motivation and accountability Adaptability in ambiguous environments and ability to prioritize tasks Leadership and peer-influencing abilities Basic Qualifications Master's degree with 46 years of experience in software development OR Bachelor's degree with 68 years of experience OR Diploma with 1012 years of experience

Role & responsibilities Generative AI architect Preferred candidate profile Perks and benefits

Role & responsibilities Generative AI architect Preferred candidate profile Perks and benefits

Role & responsibilities Generative AI architect Preferred candidate profile Perks and benefits