Job Title : Machine Learning Engineer.
Experience Required : 3+ Years.
Job location : Pune [Hybrid].
Job Responsibilities
- End-to-End Model Development : Design, build, and productionize machine learning models to tackle key business problems.
- You will handle everything from data gathering and feature engineering to model training and evaluation.
- Data Strategy & Preparation : Define data requirements and build robust pipelines for datacollection, cleaning, labeling, and validation.
- MLOps & Productionization : Convert ML prototypes into scalable, production-ready services.
- Implement model monitoring, and deployment strategies using tools like Docker and Kubernetes.
- Research & Innovation : Stay current with the latest advancements in ML and continuously explore new techniques to improve model performance and efficiency.
Mandatory Skills
- Programming : 3+ years of professional experience writing clean, robust, and production-quality code, with strong proficiency in Python.
- ML Fundamentals : A solid grasp of core machine learning concepts and algorithms, including regression, classification, clustering, and ensemble methods (e.g., Boosting).
- ML Libraries : Hands-on experience with standard Python data science and ML libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib/Seaborn.
- Deep Learning : Foundational knowledge of deep learning concepts and hands-on experience with at least one major framework like PyTorch or TensorFlow.
- Time Series Analysis : Proven experience with time series forecasting techniques and algorithms.
- Problem Solving : Excellent analytical and problem-solving skills, with a demonstrated ability to tackle ambiguous problems with data.
- Education : A Bachelor or Master's degree in Computer Science, Statistics, or a related field.
What Is Good To Have
- Understanding of deep learning fundamentals.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and their ML services (e.g., SageMaker, Vertex AI).
- Experience with containerization (Docker, Kubernetes) is a major plus.
- Practical experience with NLP libraries like spaCy, NLTK, or Hugging Face Transformers.
Opportunity To
- Have a larger impact of your work on any projects you are working on.
- Work on Latest technologies.
- Work directly with founders.
(ref:hirist.tech)
