Company :: Dikshatek
Years of Experience :: 2 to 4
This requirement for Bidding :
Machine Learning Engineer Responsibilities
1. Developing Machine Learning Models – Building, training, and optimizing machine learning models based on business needs.
2. Analyzing and Processing Data – Collecting, cleaning, and preparing data for model training.
3. Selecting and Implementing the Right Algorithm – Choosing the best algorithm based on data complexity and problem requirements.
4. Testing and Evaluating Models – Conducting testing and validation to ensure optimal model performance.
5. Optimizing Models – Adjusting hyperparameters and using fine-tuning techniques to improve accuracy.
6. Integrating Models into Production Systems – Developing APIs or pipelines to implement models in real-world applications.
7. Monitoring and Maintaining Models – Continuously monitoring and updating models to maintain accuracy over time.
8. Collaborating with Data & Software Engineering Teams – Working closely with data scientists, software engineers, and business teams to develop AI-driven solutions.
Required Skills
• Programming – Proficiency in Python, R, or Java (especially using frameworks like TensorFlow, PyTorch, and Scikit-learn).
• Mathematics & Statistics – Strong understanding of linear algebra, probability, statistics, and optimization.
• Machine Learning & Deep Learning – Expertise in supervised learning, unsupervised learning, reinforcement learning, NLP, and computer vision.
• Big Data & Cloud Computing – Ability to handle large-scale data using technologies like Hadoop, Spark, AWS, or Google Cloud.
• MLOps & Deployment – Knowledge of DevOps/MLOps for managing AI model deployment pipelines in production environments.
• Data Engineering – Experience with SQL/NoSQL databases, ETL processes, and large-scale data processing.