hotskills.tech

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Job Description Machine Learning / Deep Learning Engineer Location : Gurugram (Work from Office) Experience : 26 years Employment Type : the Role : We are seeking a highly motivated Machine Learning / Deep Learning Engineer who can design, develop, and deploy end-to-end AI solutions. The ideal candidate will have strong expertise in ML/DL, hands-on experience with cloud platforms (AWS / GCP / Azure), solid understanding of data science pipelines, and proven ability to build APIs using FastAPI for scalable deployment. This is a client-facing, product-focused role where youll collaborate with data scientists, backend engineers, and business teams to bring AI models into production. Key Responsibilities • Design, implement, and optimize ML/DL models for real-world applications (classification, regression, NLP, computer vision, etc.). • Work with data pipelines : preprocessing, feature engineering, and exploratory data analysis (EDA). • Deploy ML models on cloud environments (AWS Sagemaker, GCP Vertex AI, Azure ML, or similar). • Build and maintain FastAPI endpoints for serving models and integrating with front-end and backend systems. • Collaborate with cross-functional teams to define business problems and translate them into ML solutions. • Optimize model performance, scalability, and monitoring in production. • Stay updated with the latest trends in ML, DL, and cloud-native AI Skills & Qualifications : • Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or related ML/DL Expertise : • Proficiency in Python and ML/DL libraries (TensorFlow, PyTorch, scikit-learn). • Experience with model training, hyperparameter tuning, evaluation, and Knowledge : • Hands-on with at least one cloud platform (AWS, GCP, or Azure). • Familiarity with containerization (Docker) and orchestration (Kubernetes) is a Science Knowledge : • Strong in data preprocessing, feature engineering, and exploratory analysis. • Understanding of SQL and NoSQL Development : • Experience with FastAPI (preferred) or Flask/Django REST for model deployment. • Familiarity with CI/CD pipelines, version control (Git), and ML model lifecycle management Skills : • Knowledge of NLP (transformers, LLMs) or Computer Vision (CNNs, object detection). • Exposure to big data frameworks (Spark, Hadoop). • Experience in deploying scalable AI solutions for production workloads. (ref:hirist.tech) job perk: Posted At: 23 hours ago, job perk: Schedule Type: Full-time