Senior AI Enginner / Senior AIML Data Scientist
# Senior AI Enginner / Senior AIML Data Scientist **Vertex Cosmos Solutions** · Hyderabad, Telangana · `On-site` 🕒 **Статус:** *Опубликовано: вчера* · *Источник: Indeed* --- ### About the Role Data Scientist Role - Individual Contributor role only Considered for this Role 5 to 8 years of hands-on experience in Data Science, Machine Learning, Predictive Analytics Strong proficiency in Python, including experience with data manipulation, statistical analysis, machine learning, and model development using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch and related frameworks. Solid understanding of statistics, probability theory, hypothesis testing, regression analysis, sampling techniques, and experimental design to support data- driven decision making. Apply statistical and machine learning techniques to analyze large datasets, identify patterns, build predictive models, and generate actionable business insights. Experience in building REST APIs and integrating AI models into production environments. Strong understanding of statistics, machine learning algorithms, forecasting techniques, and optimization methods. Excellent analytical, problem-solving, and communication skills with the ability to work in cross-functional teams. Good to have Experience with Generative AI technologies, Large Language Models (LLMs) Experience working with SQL and NoSQL databases, data warehouses, and big data technologies. Familiarity with cloud platforms such as AWS, and containerization technologies such as Docker and Kubernetes. Roles & Responsibilities Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions. Extract and integrate data from multiple sources through APIs, databases, and file-based interfaces. Analyze structured and unstructured data to identify trends, patterns, and actionable business insights. Perform data preprocessing, feature engineering, model development, deployment and model evaluation Evaluate, fine-tune, and optimize AI/ML models to improve accuracy, performance, scalability, and reliability. Develop APIs and services for model deployment and integration with enterprise systems. Ensure data quality, governance, security, and compliance throughout the analytics lifecycle. Stay current with emerging AI, GenAI, machine learning, and data science technologies and recommend their adoption where appropriate. LeaD AI Engineer Python (Mandatory) JavaScript/TypeScript (Preferred) Database [Vector DB & Redis] Backend Development FastAPI Django REST APIs WebSockets Async Programming (asyncio) Microservices Redis 1. Large Language Models (LLMs) Must have experience with: OpenAI APIs (Chat Completions / Responses API) GPT-4o / GPT-5 or equivalent LLMs Claude Gemini (Preferred) Good understanding of: Prompt Engineering Function Calling / Tool Calling Structured Outputs JSON Schema Context Window Management Token Optimization AI Safety Model Evaluation 2. Voice AI Hands-on experience with: Speech-to-Text (STT) Text-to-Speech (TTS) OpenAI Realtime API Streaming Audio Voice Activity Detection (VAD) Realtime WebSocket APIs 3. Retrieval-Augmented Generation (RAG) Experience with: Embeddings Vector Databases Preferred databases: Redis Vector Search Pinecone Weaviate Qdrant Milvus AI Libraries & Frameworks Strong experience with: OpenAI SDK LangChain LlamaIndex Hugging Face Transformers Sentence Transformers Pydantic AI Preferred Domain Experience Conversational AI Voice AI AI Assistants Customer Support Automation Workflow Automation Good to have MCP (Model Context Protocol) AI Guardrails Prompt Versioning Cost Optimization AI Evaluation Frameworks Roles & Responsibilities Design and develop AI-powered enterprise applications using LLMs. Build Voice AI solutions for real-time conversational systems. Develop AI Agents capable of reasoning, planning, and tool execution. Design and implement RAG pipelines using vector databases. Integrate AI services with REST APIs, WebSockets, SIP, and enterprise systems. Develop scalable Python microservices. Optimize AI applications for latency, cost, and accuracy. Build reusable AI workflows and tool-calling frameworks. Collaborate with Product, QA, and DevOps teams. Evaluate and integrate emerging AI technologie Pay: ₹1,041,746.90 - ₹2,500,000.00 per year Benefits: Health insurance Provident Fund Application Question(s): What is your current location? What is your current ctcc? What is your salary expectation? What is your notice period ? Mention your technical skills We have only f2f round of interview procedure are you comfortable to go ( Yes/No)? Experience: Total : 5 years (Preferred) Data, Scientist: 5 years (Preferred) AI Engeenering: 7 years (Preferred) Work Location: In person
Наблюдалась 2026-09-21, впервые 2026-09-20, источник — Indeed.