Hyderabad, Telangana, India
Information Technology
Full-Time
Angel and Genie
Overview
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
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
- 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
- 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)
- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field
- Additional certifications in AI/ML are a plus
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Email
info@antaltechjobs.in