Machine Learning Engineer

Job Title : - Python for Machine Learning

Experience : 4-5 years

Work Mode : - Remote

Work Type : - Contractual ( 5 weeks )

Must Have"s :

- Machine Learning Deployment

- Python

Role Overview :

We are seeking skilled and experienced ML Developers to join our innovative team. The ideal candidate will have strong hands-on ML experience with the ability to understand complex data models and translate business requirements into efficient solutions that capture business context accurately. Participation in machine learning competitions is a strong plus.

Roles and Responsibilities :

• Develop and maintain ML solutions, including data pipelines, model training, evaluation, and optimization.

• Collaborate with business stakeholders to gather and clarify requirements

• Translate business requirements into ML code that accurately reflects business logic

• Write efficient, maintainable, and well-documented ML solutions

• Participate in code reviews and follow established development standards

• Effectively analyze and select the best algorithms, optimize ML solutions for performance improvement and accuracy

• Create and maintain technical documentation for developed solutions

• Support testing activities and resolve data-related issues

Required Qualifications :

• 4+ years of hands-on ML development experience

• Proficiency in at least some of the ML areas and frameworks, including :

1. Supervised learning (classification, regression, )

2. Unsupervised learning (clustering, anomaly detection, )

3. Time-series analysis

4. Natural Language Processing (NLP)

5. Computer Vision (CV)

6. Statistical modeling

• Ability to understand and apply different models to real-world use cases

• Hands-on experience with DS and ML solutions in production environments

• Strong understanding of data cleaning and wrangling, feature engineering, model optimization, and evaluation metrics

• Proficiency in Python and its common data science libraries (e.g., Pandas, NumPy, Scikit-learn)

Preferred Qualifications :

• Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers).

• Experience with cloud data platforms (Databricks, AWS, etc.)

• Knowledge of MLOps principles and tools for model deployment and monitoring

• Hands-on experience with PySpark and Databricks Platform

• Stay up-to-date with the latest advancements in machine learning and artificial intelligence.

• Bonus : Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench