Machine Learning Engineer - Python

We are seeking a skilled and innovative Machine Learning Engineer with over 5 years of experience to design, develop, and deploy scalable ML solutions.

You will work closely with data scientists, software engineers, and product teams to solve real-world problems using state-of-the-art machine learning and deep learning techniques.

Key Responsibilities :

- Design, build, and optimize machine learning models and pipelines for classification, regression, clustering, recommendation, and forecasting

- Implement and fine-tune deep learning models using frameworks like TensorFlow, PyTorch, or Keras

- Collaborate with cross-functional teams to understand business problems and convert them into technical solutions

- Develop data preprocessing, feature engineering, and model evaluation strategies

- Build and deploy models into production using CI/CD practices and MLOps tools

- Monitor model performance and retrain as necessary to ensure accuracy and reliability

- Create and maintain technical documentation, and provide knowledge sharing within the team

- Stay updated on the latest research, tools, and techniques in machine learning and AI

Required Skills & Experience :

- 5+ years of experience in Machine Learning Engineering or Applied Data Science

- Proficiency in Python and ML libraries such as scikit-learn, pandas, NumPy, TensorFlow, or PyTorch

- Solid understanding of mathematics, statistics, and ML/DL algorithms

- Experience with end-to-end ML lifecycle from data collection and cleaning to model deployment and monitoring

- Strong knowledge of SQL and working with large datasets

- Experience deploying ML models on cloud platforms (e.g., AWS, Azure, GCP)

- Familiarity with Docker, Kubernetes, MLflow, or other MLOps tools

- Good understanding of REST APIs, microservices, and backend integration

Nice to Have :

- Exposure to NLP, Computer Vision, or Generative AI techniques

- Experience with big data technologies like Spark, Hadoop, or Hive

- Working knowledge of data labeling, AutoML, or active learning

- Experience with feature stores, model registries, or streaming data (Kafka, Flink)

Educational Qualification :

- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field

- Additional certifications in AI/ML are a plus