AI Engineer - W2

 The ideal candidate will have hands-on experience in designing, developing, and deploying AI/ML solutions that solve real-world business problems. This role requires strong programming skills, solid ML fundamentals, and experience working with data at scale.</>

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< style=text-align: justify; data-start=662 data-end=689>Key Responsibilities</>

• < data-start=693 data-end=783>Design, build, and deploy machine learning and AI models for enterprise applications</>
• < data-start=786 data-end=862>Develop end-to-end data pipelines for training, testing, and inference</>
• < data-start=865 data-end=955>Implement ML algorithms including supervised, unsupervised, and deep learning models</>
• < data-start=958 data-end=1057>Work with large datasets to perform data preprocessing, feature engineering, and model tuning</>
• < data-start=1060 data-end=1141>Collaborate with data engineers, software developers, and business stakeholders</>
• < data-start=1144 data-end=1201>Integrate AI/ML models into production systems and APIs</>
• < data-start=1204 data-end=1260>Monitor model performance and retrain models as needed</>
• < data-start=1263 data-end=1326>Ensure scalability, reliability, and security of AI solutions</>
• < data-start=1329 data-end=1391>Document model design, experiments, and deployment processes</>

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< style=text-align: justify; data-start=1398 data-end=1437>Required Skills & Qualifications</>

• < data-start=1441 data-end=1532>Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field</>
• < data-start=1535 data-end=1585>3–6 years of experience in AI/ML development</>
• < data-start=1588 data-end=1629>Strong programming skills in Python</>
• < data-start=1632 data-end=1699>Hands-on experience with TensorFlow, PyTorch, or Scikit-learn</>
• < data-start=1702 data-end=1791>Solid understanding of machine learning algorithms, statistics, and data structures</>
• < data-start=1794 data-end=1857>Experience with data processing libraries (NumPy, Pandas)</>
• < data-start=1860 data-end=1924>Familiarity with REST APIs and model deployment techniques</>
• < data-start=1927 data-end=1980>Experience working with SQL and NoSQL databases</>

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< style=text-align: justify; data-start=1987 data-end=2025>Preferred / Nice-to-Have Skills</>

• < data-start=2029 data-end=2089>Experience with NLP, Computer Vision, or Generative AI</>
• < data-start=2092 data-end=2154>Exposure to LLMs (OpenAI, Hugging Face, LangChain, etc.)</>
• < data-start=2157 data-end=2203>Cloud experience with AWS, Azure, or Google Cloud Platform</>
• < data-start=2206 data-end=2264>Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)</>
• < style=text-align: justify; data-start=2267 data-end=2311>Experience with Docker and CI/CD pipelines</>