
Machine Learning Engineer
1 week ago
Role Overview
Tecnomi is seeking skilled ML Engineers to join our innovative R&D team. You will contribute to building, deploying, and scaling machine learning solutions in a collaborative, agile environment, focusing on production-ready systems and infrastructure.
Key Responsibilities
- Design, implement, and optimize machine learning models and pipelines using Python and relevant frameworks for robust, data-driven applications.
- Develop and maintain end-to-end ML workflows, including data ingestion, feature engineering, model training, evaluation, and inference.
- Collaborate with cross-functional teams to integrate ML models into production environments, ensuring scalability and reliability.
- Handle model deployment, monitoring, and optimization using tools like Docker, Kubernetes, and CI/CD pipelines.
- Uphold high standards of code quality through rigorous testing, documentation, version control, and best practices in software engineering.
Required Skills and Qualifications
- 3-5 years of hands-on experience in ML engineering or related roles, with strong proficiency in Python for building scalable ML systems.
- Expertise in ML libraries and tools such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy, and frameworks for model serving (e.g., TensorFlow Serving or ONNX).
- Solid understanding of machine learning concepts, including supervised/unsupervised learning, time-series forecasting, neural networks, and model evaluation metrics.
- Experience with containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud platforms (e.g., AWS SageMaker, Google Cloud AI, or Azure ML).
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- Strong problem-solving skills, with experience in agile methodologies and cross-team collaboration.
Preferred Skills
- Familiarity with natural language processing (NLP), reinforcement learning, or computer vision.
- Knowledge of MLOps practices and tools like MLflow, Kubeflow, or Airflow for model lifecycle management.
- Experience with real-time data processing, distributed systems, or low-latency ML inference.
What We Offer
- Opportunity to work on cutting-edge ML projects with significant impact at Tecnomi (visit for more about us).
- Collaborative team environment with access to advanced tools.
Job Type: Full-time
Pay: ₹35, ₹50,000.00 per month
Experience:
- ML: 2 years (Required)
Location:
- Indore, Madhya Pradesh (Preferred)
Work Location: In person
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