Machine Learning Engineer

9 hours ago

Pune, Maharashtra, India Finarkein Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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

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