Machine Learning Engineer
FinarkeinIndia6 days ago
Full-timeRemote FriendlyEngineering, Information Technology
Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Job Title: Machine Learning Engineer
Experience Required: 3+ Years
Job location: Pune [Hybrid]
Job Responsibilities
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.
- 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.
- Understanding of deep learning fundamentals
- Familiarity with cloud platforms (AWS, GCP, or Azure) and their ML services (e.g., SageMaker,
- Practical experience with NLP libraries like spaCy, NLTK, or Hugging Face Transformers.
- Have a larger impact of your work on any projects you are working on
- Work on Latest technologies
- Work directly with founders
Key Skills
Ranked by relevanceReady to apply?
Join Finarkein and take your career to the next level!
Application takes less than 5 minutes