JOB DESCRIPTIONJob Title: AI Engineer Experience: 5-10 years Location: Pune, India Role Definition:This is a specialized role for an AI Software Engineer responsible for designing, building, and deploying scalable AI models and systems. You will work with machine learning frameworks, cloud platforms, and data engineering tools to create and optimize AI solutions. Key Responsibilities:Design, develop, and deploy AI models and systems.Work with machine learning frameworks and implement AI/ML algorithms.Manage data pipelines and monitor data flows.Implement and optimize MLOps frameworks. Collaborate with cross-functional teams to integrate AI solutions with cloud platforms.Required Skills:Proficient:Languages/Frameworks: Fast API, Azure UI Search API (React)Cloud: Azure Cloud Basics (Azure DevOps)Version Control & CI/CD: Gitlab PipelineDeployment: Ansible and REX (Rex Deployment)Data Science: Prompt Engineering and Modern TestingData Pipeline: Development and MonitoringAI/ML Knowledge: Understanding of AI/ML algorithms and their applicationsMLOps: Familiarity with MLOps frameworksCloud Platforms: Knowledge of Azure MLModel Deployment: Experience in model deployment processes Expert (in addition to the proficient skills):Languages/Frameworks: Expertise in Azure Open AIData Science: Proficient with Open AI GPT family of models (4o/4/3), Embeddings, and Vector SearchDatabases and ETL: Experience with Azure Storage Account, PostgreSQL, and CosmosML Frameworks: Hands-on experience with TensorFlow, PyTorch, and Scikit-learnCloud Platforms: In-depth knowledge of AWS SageMaker and Google AI PlatformData Engineering: Expertise in data preprocessing, feature engineering, and model evaluationSoftware Engineering: Strong understanding of version control, CI/CD, containerization, and overall software engineering principlesBig Data & Distributed Computing: Familiarity with tools such as Spark and HadoopPerformance Optimization: Ability to optimize models for performance and scalabilitySearch Technologies: Experience with Azure AI Search

JOB DESCRIPTIONJob Title: Data Scientist Experience: 5-10 years Location: Pune, IndiaRole Definition:Data Scientists focus on researching and developing AI algorithms and models. In this role, you will analyze data, build predictive models, and apply machine-learning techniques to solve complex problems.Key Responsibilities:Research and develop AI algorithms and predictive models.Analyze data to extract actionable insights.Build, test, and deploy machine learning and deep learning models.Manage end-to-end AI solution delivery, from data mining and cleaning to deployment.Collaborate with cross-functional teams to integrate AI solutions into business processes.Ensure effective monitoring and maintenance of data pipelines and model performance. Required Skills:Proficient:Languages/Frameworks: Fast API, Azure UI Search API (React)Databases and ETL: Cosmos DB (API for MongoDB), Data Factory, and Data BricksProgramming: Proficiency in Python and RCloud: Azure Cloud Basics (Azure DevOps)Version Control & CI/CD: Gitlab PipelineDeployment: Ansible and REX (Rex Deployment)Data Science: Prompt Engineering, Modern Testing, and data mining/cleaningMachine Learning: Supervised/unsupervised learning, NLP techniques, and familiarity with deep learning techniques (RNN, transformers)End-to-End Delivery: AI integration, deployment, and model deployment processesFrameworks & Operations: AI frameworks (PyTorch), MLOps frameworks, and data pipeline monitoringExpert (in addition to the proficient skills):Languages/Frameworks: Expertise in Azure Open AIData Science: Proficiency with Open AI GPT Family of models (4o/4/3), embeddings, and vector searchDatabases and ETL: Experience with Azure Storage AccountMachine Learning: Expertise in a broad range of machine learning algorithms (supervised, unsupervised, reinforcement learning)Deep Learning: Proficiency in deep learning frameworks (TensorFlow, PyTorch)Mathematics: Strong mathematical foundation in linear algebra, calculus, probability, and statisticsResearch: Solid research methodology and experimental design skillsData Analysis: Proficiency in data analysis tools (Pandas, NumPy, SQL)Statistics: Strong statistical and probabilistic modeling skillsData Visualization: Experience with tools like Matplotlib, Seaborn, or TableauBig Data: Knowledge of big data technologies such as Spark and HiveAnalytics: Experience with AI-driven analytics and decision-making systems