Urgent! Ai architect / senior data scientist Job Opening In India, India – Now Hiring CirrusLabs
Experience : 8+ YearsJob Location : All over IndiaMandatory skills: Python, Gen AI, traditional ML, core Data scientist, ML Ops, Agentic AIPosition OverviewWe are seeking an experienced AI Architect to join our dynamic team.
This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems.
You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications.Key ResponsibilitiesAI/ML Development & Data Science: Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environmentsApply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental designBuild and optimize large language model applications including fine-tuning, prompt engineering, and model evaluationImplement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilitiesConduct advanced data analysis, statistical modeling, A/B testing, and predictive analytics using both classical and modern techniquesResearch and prototype cutting-edge generative AI solutionsTraditional ML & Statistics: Implement classical machine learning algorithms including linear/logistic regression, decision trees, random forests, SVM, clustering, and ensemble methodsPerform feature engineering, selection, and dimensionality reduction techniquesConduct statistical inference, confidence intervals, and significance testingDesign and analyze controlled experiments and observational studiesApply Bayesian methods and probabilistic modeling approachesFull Stack Development: Develop scalable front-end applications using modern frameworks (React, Vue.js, Angular)Build robust backend services and APIs using Python, Node.js, or similar technologiesDesign and implement database solutions (SQL/No SQL) optimized for ML workloadsCreate intuitive user interfaces for AI-powered applications and statistical dashboardsMLOps & Infrastructure: Establish and maintain ML pipelines for model training, validation, and deploymentImplement CI/CD workflows for ML models using tools like MLflow, Kubeflow, or similarMonitor model performance, drift detection, and automated retraining systemsDeploy and scale ML solutions using cloud platforms (AWS, GCP, Azure)Containerize applications using Docker and orchestrate with KubernetesCollaboration & Leadership: Work closely with data scientists, product managers, and engineering teamsMentor junior engineers and contribute to technical decision-makingParticipate in code reviews and maintain high development standardsStay current with latest AI/ML trends and technologiesRequired QualificationsExperience & Education:7-8 years of professional software development experienceBachelor's or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, Data Science, or related field6+ years of hands-on AI/ML experience in production environmentsTechnical Skills: Programming: Expert proficiency in Python, strong experience with Java Script/Type Script, R is a plusTraditional ML: Scikit-learn, XGBoost, Light GBM, classical algorithms and ensemble methodsStatistics: Hypothesis testing, regression analysis, ANOVA, time series analysis, experimental design, Bayesian inferenceStatistical Tools: Experience with R, SAS, SPSS, or similar statistical software packagesDeep Learning: Tensor Flow, Py Torch, neural networks, computer vision, NLPLLM Experience: Working with GPT, Claude, Llama, or similar models; experience with fine-tuning and prompt engineeringRAG Implementation: Vector databases (Pinecone, Weaviate, Chroma), embedding models, semantic searchData Science: Pandas, Num Py, statistical analysis, data visualization (Matplotlib, Plotly, Seaborn), feature engineeringFull Stack: React/Vue.js, Node.js/Fast API, REST/Graph QL APIsDatabases: Postgre SQL, Mongo DB, Redis, vector databasesMLOps: Docker, Kubernetes, CI/CD, model versioning, monitoring toolsCloud Platforms: AWS/GCP/Azure, serverless architecturesSoft Skills: Strong problem-solving and analytical thinkingExcellent communication and collaboration abilitiesSelf-motivated with ability to work in fast-paced environmentsExperience with agile development methodologiesPreferred Qualifications Experience with causal inference methods and econometric techniquesKnowledge of distributed computing frameworks (Spark, Dask)Experience with edge AI and model optimization techniquesPublications in AI/ML/Statistics conferences or journalsOpen source contributions to ML/statistical projectsExperience with advanced statistical modeling and multivariate analysisFamiliarity with operations research and optimization techniques
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Unlock Your Ai architect Potential: Insight & Career Growth Guide
Real-time Ai architect Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Ai architect in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 203801 jobs in India and 14466 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Ai architect roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! CirrusLabs is currently hiring and seeking a Ai architect / senior data scientist to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at CirrusLabs adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Ai architect / senior data scientist Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Ai architect / senior data scientist typically include Architecture & Construction and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Ai architect / senior data scientist interview at CirrusLabs, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the CirrusLabs's products or services and be prepared to discuss how you can contribute to their success.
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