科技職缺
職缺列表
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 Engineer
Build and deploy intelligent AI/ML applications using Snowflake Cortex, LLM APIs, and Python frameworks. Responsibilities include developing ML pipelines, RAG/agentic AI systems, vector search with FAISS, Streamlit apps, and real-time streaming data integrations.
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.
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.
Ai/ml Engineer
Freelance remote AI/ML Engineer designing and implementing machine learning algorithms, optimizing models for performance, and collaborating with cross-functional teams. Core stack includes statistical modeling, REST APIs, NLP, deep learning, and cloud ML platforms (AWS SageMaker, Azure AI).
python developer
Python Developer building and maintaining scalable Flask/Django applications with machine learning integrations (TensorFlow/PyTorch), GraphQL APIs, and microservices architecture in a CI/CD, Docker, and Kubernetes environment based in Pune, India.
Machine Learning Engineer
Remote Machine Learning Engineer designing and deploying deep learning models (CNN, RNN, LSTM) and MLOps pipelines using Python, Kubernetes, and Apache Spark for distributed training at scale.
Applied AI Scientist
Applied AI Scientist designing, developing, and deploying machine learning models and NLP solutions in cloud environments using Python, TensorFlow or PyTorch, and Docker for feature engineering and data preprocessing.
Machine Learning Engineer
Hybrid ML Engineer in Alpine County, CA, designing CNN/RNN/LSTM architectures and building MLOps pipelines with distributed training on Kubernetes and Spark. Hourly 6-month contract, up to $50/hr.
Machine Learning Engineers
Remote US-based ML engineer designing, building, and maintaining machine learning models and pipelines using Python, Java, TensorFlow/PyTorch, SQL, and AWS/GCP/Azure cloud ML services.
Consultant – AI, LLM/SLM & Scalable ML Systems
Remote AI Consultant guiding a team to build and deploy scalable ML/LLM/SLM applications end-to-end, covering model training (RoPE, MoE, RLHF, vLLM), RAG pipelines, custom agents, multimodal AI, and production MLOps on Kubernetes/GPU clusters.
Data Engineer
Data Engineer building and maintaining scalable data pipelines that support AI/ML model training, including ETL workflows, data preprocessing, and feature engineering. Collaborates with AI Researchers on dataset preparation and validation using Python, SQL, Airflow, TensorFlow, PyTorch, and related ML frameworks.
MLOps / AI DevOps Engineer
Design and maintain scalable backend services and REST APIs (FastAPI, microservices) powering AI-driven applications, including MCP servers, real-time streaming via LiveKit, and orchestration with Airflow/Celery, while owning CI/CD pipelines.
QA Automation Engineer
Designs and executes automated test suites for AI models, REST APIs, and CI/CD pipelines using Python (PyTest/Unittest/Robot Framework), ensuring model validation, data integrity, and reliable deployments of AI-driven applications.
Backend App Developer
Backend developer designing and maintaining FastAPI microservices, MCP integrations, and real-time APIs that power AI-driven applications, collaborating with AI, ML, and DevOps teams to ship production-ready services.
Machine Learning (ML) Engineer
ML Engineer integrating and deploying AI/ML models into production at an AI company, optimizing inference pipelines, managing CI/CD, and building agentic and multimodal (text/vision/audio) workflows using Python, PyTorch, TensorFlow, FastAPI, LangGraph, and Docker/Kubernetes on AWS/GCP/Azure.