AI Engineer - Python/SQL in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
AI EngineerExperience: 5 - 7 YearsLocation: Pune (WFO)Key Responsibilities:- Rapidly deliver business-driven AI solutions by integrating existing cloud models and APIs, focusing on practical implementation rather than developing new algorithms.- Translate business goals into AI-powered solutions, ensuring technical feasibility through collaboration with squad leads, data scientists, architects, and full stack engineers.- Integrate Google Cloud AI services and models into microservices and workflows to support scalable and maintainable solutions.- Design, implement, deploy, and monitor intelligent agents to support automation and personalization.- Build and maintain CI/CD pipelines using Cloud Build and GitHub Actions, collaborating closely with DevOps engineers and SREs for robust deployment and monitoring.- Maintain comprehensive documentation including API references, runbooks, architecture diagrams, and conduct internal demos and training sessions.- Ensure all AI solutions comply with corporate policies on responsible AI and ethical standards.Qualifications:- Education: Bachelor's or Master's degree in Computer Science, Software Engineering.- Proven experience with Google Cloud Platform development (Vertex AI, Document AI, BigQuery ML, Agent Development Framework).- Strong knowledge of third-party LLMs (e.g. OpenAI, Anthropic, Gemini, Azure OpenAI), mastering prompt and context engineering.- Strong knowledge of microservices architecture and development patterns (API-driven, event-driven).- Proven experience with programming languages (SQL & Python is a must).- Knowledge of agentic development frameworks (e.g. Google Agent Development Kit).- Proficient in using coding assistant tools, building POCs rapidly.- Knowledge of BigQuery and CI/CD pipelines in GCP context.- Strong team player with a fast-learning, 'iterate quickly' mindset.- Excellent English communication skills, both written and verbal.- Demonstrated problem-solving ability with a structured, process-oriented approach. (ref:hirist.tech)
... specific focus on developer productivity and efficiency. Fluency in at least one of the following languages: Python or Go. - Strong background in software engineering with experience building internal tools, developer platforms, or complex integrations. - Familiarity with structured/agentic AI workflow frameworks, LLMs, ...
... scalable automation using RPA platforms, Agentic AI workflows, and advanced ChatBot technologies to improve operational efficiency and digital capabilities. The AI Engineer will develop and support RPA Projects and AI-driven chatbot solutions for cross-functional teams across our diverse and growing Infosec organization. ...
... business and technical requirements. Implement secure platforms with data governance in mind. Play a key role in automation and building industry leading solutions against architectural best practices. Deliver data migrations between legacy & modern platforms Design & deliver data warehousing solutions and key data engineering ...
... documentation. - Stay current with emerging developments in AI, machine learning, LLMs, and intelligent automation . WHAT MAKES YOU A GREAT FIT - 5+ years of experience in AI/ML engineering, machine learning, data science, or a related technical field. - Strong programming skills in Python and experience building production-quality ...
... authority on internal data contracts and API schemas in cross-functional discussions with backend, product, and AI/ML teams 5+ years of experience in data engineering, with a proven track record delivering production-grade pipelines, data models, and storage architectures - Deep SQL expertise; hands-on experience designing ...
... event/message based integration (Kafka, Google Pub/Sub). - Advanced SQL skills; solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources. - Strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing). ...
... comfortable working in a remote or hybrid environment and are looking for a new project opportunity are encouraged to apply. The Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include ...
Job Description :AuxoAI is hiring a Senior Applied AI Engineer to design and deploy production-grade computer vision systems that operate reliably in real-world https://jobeax.com/link/SFg0hEiyYqQPdzCu role focuses on building end-to-end visual intelligence systems, combining deep learning, classical computer vision techniques, ...
... provides instant health advice through a seamless, voice-first experience. Role Overview: Lead AI Engineer We are hiring a Senior AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 1+ year of GenAI production experience, and 1+ year of hands-on GenAI product ...
... enablement initiative. The primary focus of this role is designing and executing end-to-end ELT pipelines and data transfer workflows migrating structured data from SQL sources into Snowflake and orchestrating bulk file transfers into Azure Data Lake Storage (ADLS).Responsibilities:- Design, build, and maintain scalable ELT/ETL ...
... production-grade systems that execute real work across workflows, processes, products and services. Our heritage is in scaled enterprise automation; our future is Applied AI and Agentic Automation: autonomous agents, AI engineering squads, process orchestration, data and knowledge foundations, and human-in-the-loop governance embedded ...
... code quality, and speed up https://jobeax.com/link/M0wSPp7qKGGdIkj1 : - Design, develop, and maintain scalable web applications using React on the frontend and Python on the backend.- Build responsive, accessible, and user-friendly interfaces using React, hooks, and modern state management.- Design and maintain RESTful APIs ...
... Work with structured and unstructured datasets to prepare data for AI model training, validation, and inference. Design and optimize data pipelines supporting AI and machine learning workflows. Perform feature engineering, data transformation, cleansing, and validation activities. Utilize Python, SQL, NumPy, Pandas, and ...
... Implementation Engineer, Technical Consultant, or similar — supporting enterprise SaaS deployments or digital transformation projects - Programming experience: Python, Golang or equivalent, SQL, REST APIs, familiarity with Bash and terminal-based workflows, AI-powered coding assistants - Strong experience with large datasets ...
... ETL/ELT workflows for data ingestion, transformation, and loading.- Develop and manage data models, data lakes, and data warehouses.- Optimize database performance, SQL queries, and query execution plans.- Develop and maintain solutions using SQL and advanced PL/SQL.- Use Python or PySpark for data processing and pipeline development.- ...
... hiring an AI/ML Engineer Intern! About the Company: Qurovo builds practical technology products with a focus on solving meaningful problems through thoughtful engineering and applied artificial intelligence. As an AI/ML Engineer Intern, you will work with the product and technology team on healthcare-focused AI use cases and ...
... TypeScript, Python, Go, or Java , with a strong preference for candidates experienced in TypeScript , especially for backend development. Experience as a product engineer, platform engineer, or ML-focused engineer . (We are not seeking candidates whose primary scope is CI/CD, infrastructure engineering, or pure data science.) ...
... field. - 8+ years of experience in Devops and 3+ years in DBX. - Strong hands-on experience in Databricks (Spark, Delta Lake, PySpark, MLflow). - Proficiency in SQL and programming languages like Python or Scala. - Experience with Azure cloud data services. - Solid understanding of data modeling, data governance, security. ...
... practices, mentor engineers, and partner closely with DevOps and platform squads to engineer resilient systems that exceed SLA commitments. SRE & Reliability Engineering Own SLOs, SLIs, and error budget policies; Design and implement auto-healing, self-remediation, and chaos engineering frameworks. Ensure high availability, ...