Looking for a hands-on AI Engineer to build, deploy, and support machine learning solutions in production. The ideal candidate has strong Python skills, solid ML fundamentals, and practical experience taking models from notebooks to real users.
Design, build, and deploy machine learning and deep learning models for real business problems. Work with data (cleaning, preprocessing, feature engineering) using SQL and Python. Develop and maintain model APIs and services in production (cloud/on‑prem). Monitor model performance and help improve accuracy, latency, and reliability. Collaborate with product, data, and engineering teams to define requirements and deliver solutions.
Must-Have Skills: 3–5 years of experience as an AI/ML Engineer or similar role. Strong programming in Python (pandas, NumPy, etc.) and version control (Git). Good understanding of ML concepts and algorithms (classification, regression, clustering, evaluation metrics). Experience with at least one deep learning framework (TensorFlow or PyTorch). Solid skills in SQL and data preprocessing/feature engineering. Experience deploying models as APIs or services (Docker / any cloud like AWS, Azure, or GCP). Good-to-Have Skills: Exposure to Generative AI / LLMs (OpenAI/LLAMA, RAG, prompt engineering). Experience with MLOps tools (MLflow, Kubeflow, model monitoring, CI/CD for ML). Knowledge of NLP or Computer Vision use cases. Familiarity with data pipelines / ETL tools and messaging systems (e.g., Kafka).
Mandatory Skills
Preferred Skills
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