Finarkein Analytics - Machine Learning Engineer - Deep Learning

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