Appinventiv - Machine Learning Engineer - Python/Hadoop (4-6 yrs)

Key Responsibilities :

- Design and implement scalable machine learning models based on business needs.

- Collaborate with cross-functional teams to understand objectives and challenges, and translate them into data-driven solutions.

- Preprocess, analyze, and interpret large datasets to identify patterns and valuable insights.

- Build and optimize data pipelines for efficient data processing and model training.

- Implement end-to-end machine learning solutions, from model development to deployment in production environments.

- Continuously monitor the performance of models and make improvements as required.

- Stay up-to-date with the latest advancements in machine learning, artificial intelligence, and data science.

Must-Have Skills :

- Bachelor's/Master's degree in Computer Science, Data Science, or a related field.

- 4-6 years of experience working as a Machine Learning Engineer or similar role.

- Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning, etc.

- Proficiency in Python and machine learning libraries (e., TensorFlow, PyTorch, Scikit-learn).

- Experience with data processing frameworks like Apache Spark or Hadoop.

- Knowledge of deep learning techniques and NLP is a plus.

- Experience in cloud platforms (AWS, GCP, or Azure) for deploying ML models.

- Ability to work with SQL and NoSQL databases.

- Strong analytical and problem-solving skills.