科技職缺
職缺列表
GenAI Developer
Remote freelance GenAI developer building applications that leverage large generative models for content creation, transformation, and analysis (chatbots, content generators, semantic search). Core stack: Python, deep learning, LLMs, LangChain, and cloud architecture.
Data Engineer
Remote Data Engineer designing, implementing, and maintaining scalable data pipelines and architectures while collaborating with data scientists and analysts on data modeling, storage optimization, and data quality across cross-functional teams.
Lead AI Engineer
Lead AI Engineer at Expertshub.ai architects and delivers end-to-end AI solutions across classical ML, deep learning, LLMs, and multimodal systems using Python, PyTorch/TensorFlow/JAX, while mentoring an AI/ML team and owning MLOps and production deployment on AWS/Azure/GCP.
GenAI Data Scientist
Freelance GenAI Data Scientist designing and implementing machine learning models, analyzing complex datasets, and mentoring junior data scientists in a hybrid Pune-based role with cross-functional collaboration across engineering, product, and operations.
Snowflake Data Engineer
Remote Snowflake Data Engineer designing scalable data pipelines and optimizing Snowflake-based data solutions to drive analytics and business insights. Core stack: Snowflake, SQL, Python, ETL, and cloud data warehousing.
DATA Engineer
Data Engineer building and maintaining ETL data pipelines with SQL and Python, integrating ML models and working with Spark, Kafka, and cloud services (Azure, GCP) in Pune.
Data Scientist
Data Scientist with 4-6 years of IT experience based in Pune, working on complex datasets to build predictive models and LLM-driven AI solutions for retail and quick commerce clients, while mentoring junior team members.
AI/ML Lead Engineer
Remote AI/ML Lead Engineer driving the full ML lifecycle for banking clients, building LLM and agentic AI solutions on Gemini and Amazon Bedrock with strong MLOps practices.
Ai/ml Engineer
Onsite AI/ML Engineer building scalable computer vision and machine learning solutions for the ExpertsHub project, including object detection and image segmentation models using Python, TensorFlow, and PyTorch.
Azure Data Engineer ( Arabic Language)
Data Engineer crafting and maintaining data pipelines using Python and SQL with Azure/GCP, Spark, and Kafka for ETL processes, database management, and integrating machine learning models into data workflows.
Full Stack Engineer
Full Stack Engineer driving technical strategy and architecture for systems serving millions of users. Day-to-day work spans JavaScript/Node.js/React development, microservices, distributed systems design, and collaboration with C-level leadership on platform modernization.
Java Developer
Designs and develops scalable backend systems using Java and Spring Boot within a microservices architecture, building RESTful APIs and collaborating with cross-functional teams. Core stack: Java, Spring Boot, Microservices, REST APIs, Kafka/RabbitMQ, Docker, Kubernetes.
Gcp Data Engineer
Builds scalable data pipelines on Google Cloud using Dataflow, Java, Docker, and Kubernetes. Focuses on cloud-native data processing and containerized deployments within GCP architecture.
Full Stack Engineer
Remote Full Stack Engineer focused on backend-heavy work with C#/.NET on Google Cloud, building scalable cloud-native applications using containerized environments and GCP data services like Spanner and Bigtable.
Azure Solutions Architect
A leadership role focused on architecting and leading the design of scalable Microsoft Azure cloud solutions, guiding technical teams across IaaS/PaaS/SaaS, integration services, Infrastructure as Code, and DevOps practices for enterprise environments.
Devops Engineer
Senior DevOps Engineer with 8+ years of hands-on experience automating Azure cloud infrastructure via Terraform, building CI/CD pipelines (Harness, GitLab CI, Jenkins), and maintaining observability with Splunk, including on-call production support.
Sr. Ai/ml Engineer
Sr. AI/ML Engineer designing and optimizing LLM-based solutions through prompt engineering and experimentation. Day-to-day work involves Python development, managing Jupyter sandbox environments, building CI/CD pipelines, and working with AWS (including Bedrock) cloud infrastructure and Infrastructure-as-Code tools.