Senior AI/ML Developer
3 weeks ago
Shift Timing :: 02:00 PM - 11:00 PM IST
Competencies:
A minimum of 8 years of tangible AI/ML engineering experience.
Proficiency in:
AI disciplines: Deep learning, NLP, and Generative AI.
Essential Data Science Frameworks: TensorFlow, Keras, Scikit-learn, SciPy, Spacy, NLTK.
MLOps tools such as AWS Sagemaker, Azure ML, mlflow, BentoMI, BentoML – Yatai, etc.
Deployment strategies: Flask API, Elastic BeanStalk.
Cloud platforms: AWS, Azure, GCP.
Cloud AI Services: Azure Open AI, Azure Cognitive Services, etc.
Vital data science libraries: Scikit-learn, Matplotlib, Pandas, NumPy, Seaborn, DeepChecks, etc.
Versioning tools: Github, Git Lab, DVC, etc.
DevOps tools: Docker, Kubernetes, Jenkins, AWS Code Pipeline, etc.
A wide range of ML techniques: supervised/unsupervised learning, classification, regression, clustering.
Programming skills in R, Python, Spark, along with query languages like SQL and Hive.
Key Responsibilities:
Design, develop, and roll out automated machine learning pipelines utilizing contemporary MLOps tools.
Expertise in training and deploying a broad spectrum of ML models, especially in areas like fraud detection, customer purchasing predictions, synthetic data configurations, text classification, sentiment analysis, and topic modelling.
Harness the power of generative AI models, integrating tools like Dall-e and Chat GPT into the core processes.
Undertake comprehensive data analysis, data cleansing, data munging, feature engineering, and seamless implementation of AI/ML models.
Spearhead the development and automation of CI/CD pipelines in cloud environments.
Own and supervise AI projects through their lifecycle: data exploration, model building, deployment, and subsequent post-production support.
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