AI/ML Engineer
AI/ML Engineer
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Job Description
We are hiring an AI/ML Engineer with 5+ years of experience in developing and deploying scalable machine learning solutions. The ideal candidate should possess strong expertise in Python, machine learning algorithms, data preprocessing, feature engineering, and model optimization. You will be responsible for designing, training, validating, and deploying predictive models for real-world business use cases while ensuring high performance and reliability. Hands-on experience with supervised, unsupervised, and deep learning techniques, along with model evaluation, hyperparameter tuning, and performance monitoring, is essential. Candidates should have experience building production-ready ML pipelines, deploying models through APIs or cloud platforms such as AWS, Azure, or GCP, and collaborating with Data Engineering teams. Strong knowledge of MLOps, model lifecycle management, statistical analysis, version control, and excellent analytical, communication, and problem-solving skills is highly preferred.
Skills: cloud,ml,python
Skills: cloud,ml,python
More Info
Key Skills
Feature Engineering
Data Preprocessing
Model Lifecycle Management
ML Pipelines
Model Evaluation
Model Optimization
Deep Learning Techniques
Hyperparameter Tuning
About Company
Skills:
Image Processing, Data Science, Neural Networks, AI and machine learning models, generative AI models, deep learning techniques, cloud AI services, deployment pipelines
Skills:
workflow engines , Python, tool function calling, tracing observability tooling, Logfire, AI systems in production, prompting, Temporal, OpenTelemetry, pydantic-ai, LiteLLM, MCP, agent architectures
Skills:
analog circuits , Pytorch, Python, EDA Tools, Scientific Computing, Spice, reinforcement learning
Skills:
Apache Spark, ELT, Tensorflow, Pytorch, Gcp, Azure, Python, AWS, Etl, LangChain, Hugging Face, Pinecone, FAISS, ChromaDB, LlamaIndex
Skills:
Databases, Apis, Microservices, Python, Machine Learning, Predictive Analytics, Computer Vision, AI application architecture, LLMs, cloud platforms, Agentic AI solutions, AI integrations, Generative AI applications, AI ML frameworks, Forecasting, Ontology and Knowledge Representation, embedding, RAG vector databases, AI-powered search, IoT Connected Systems, Knowledge Graphs