Dataviv Technologies

Job Description Machine Learning / Deep Learning EngineerLocation : 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)