Mindsprint - Data Scientist - Machine Learning

Job Description :We are seeking an experienced Senior Data Science Engineer to join our innovative team.As a Machine Learning and Generative AI Specialist, you will play a critical role in developing and deploying advanced ML models and algorithms to drive data-driven decision-making processes.Here are the key responsibilities and desired skills :Algorithm Development : - Design and implement machine learning algorithms for various applications, including natural language processing (NLP), recommendation systems, and predictive analytics.- Leverage your expertise in deep learning and generative AI to create innovative solutions.Data Processing and Analysis :- Collect, preprocess, and analyze large-scale datasets.- Apply statistical techniques and feature engineering to extract meaningful insights from data.Model Training and Evaluation :- Train and fine-tune ML models using Python and relevant libraries (e.g., TensorFlow, PyTorch).- Evaluate model performance using appropriate metrics and iterate to improve accuracy and efficiency.Deployment and Monitoring :- Deploy ML models to production environments (e.g., cloud platforms such as Azure, AWS, or GCP).- Monitor model performance, troubleshoot issues, and ensure robustness and reliability.Collaboration and Communication :- Collaborate with cross-functional teams, including data scientists, engineers, and product managers.- Communicate results and insights effectively to technical and non-technical stakeholders.Desired Skills :- Machine Learning : Strong knowledge of ML algorithms, including supervised and unsupervised learning.- Generative AI : Experience with generative models (e.g., GANs, VAEs) and their applications.- Python : Proficiency in Python for data analysis, model development, and scripting.- Cloud Platforms : Hands-on experience with Azure, AWS, or GCP for model deployment and scalability.- Natural Language Processing (NLP) : Understanding of NLP techniques, sentiment analysis, and text generation. (ref:hirist.tech)