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Finarkein Analytics - Machine Learning Engineer - Deep Learning

Finarkein Analytics - Machine Learning Engineer - Deep Learning

FinarkeinPune
5 days ago
Job description

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)

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