Junior Machine Learning Developer

You are a talented and motivated Machine Learning Developer with 1 to 3+ years of experience, seeking to join an innovative team. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms that power products and solutions. Your collaboration with cross-functional teams, including data scientists, software engineers, and product managers, will be crucial in creating scalable and efficient machine learning solutions. Your duties and responsibilities will include designing, implementing, and optimizing machine learning models to solve complex business problems. You will preprocess and analyze large datasets, ensuring data quality and relevancy for model training. Feature engineering to enhance model accuracy, evaluating model performance, deploying models into production environments, and staying updated with the latest advancements in machine learning will be part of your responsibilities. Additionally, you will collaborate with various teams to integrate machine learning capabilities into products and services while maintaining comprehensive documentation for models and processes. To excel in this role, you should have 1 to 3+ years of hands-on experience in machine learning or data science, proficiency in handling large datasets and SQL/NoSQL databases, and expertise in developing, training, and deploying machine learning models. Strong communication skills, the ability to work effectively in a team environment, and experience with cloud platforms like AWS, Google Cloud, or Azure are essential. Knowledge of natural language processing, computer vision, reinforcement learning, and familiarity with MLOps practices will be advantageous. This position is based in Indore, MP, with a work-from-office model. However, you should be willing to work on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. Apply now if you are ready to contribute your skills and expertise to a dynamic and collaborative team environment.,