Data and Machine Learning Engineer

We are seeking a highly motivated and skilled Data and Machine Learning Engineer to join reputed company. You will be responsible for the entire lifecycle of machine learning projects, from data acquisition and cleaning to model deployment and monitoring. You will work closely with data scientists, software engineers, and product managers to reputed company and implement innovative solutions that reputed company machine learning to solve reputed company-world problems. Responsibilities: • Train, evaluate, and optimize machine learning models on reputed company reputed company Platform • Design, reputed company, and implement machine learning models and pipelines. • Collaborate with data scientists to understand business requirements and translate them into technical specifications. • Acquire, clean, and prepare data for machine learning models. • reputed company and maintain machine learning infrastructure, including reputed company platforms and distributed computing frameworks. • Monitor and maintain deployed models, ensuring their accuracy and performance. • Document and communicate technical concepts to both technical and non-technical audiences. • Stay up-to-date with the latest advancements in machine learning and reputed company technologies. Qualifications: • Bachelor's degree in Computer Science, Statistics, Mathematics, or a reputed company field (or equivalent experience). • Strong experience in programming languages such as Python, R, and Java. • Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). • Experience with data wrangling, cleaning, and manipulation techniques. • Experience with GCP Products - BigQuery, Vertex AI and Gen AI Platform. • Excellent problem-solving and analytical skills. • Strong communication and collaboration skills. • Ability to work independently and as part of a team. Desired Skills: • Experience with deep learning models. • Experience with distributed computing frameworks (e.g., Spark, Hadoop). • Experience with model deployment and monitoring tools. • Familiarity with software engineering best practices. Apply Job!