SENIOR ML ENGINEER (PYTHON)

Roles & Responsibilities
• 3+ years of professional experience in machine learning or quantitative analysis.
• The engineer should have excellent programming and algorithmic skills. He has to be proficient with Python and experience with data processing tools (e.g., SciPy, NumPy, Pandas, PyTorch, and Apache Spark). Lead is especially interested in NumPy.
• If the candidate has previously worked with Bayesian Networks and Probabilistic Inference, it would be great.
• The engineer should have an in-depth understanding of supervised and unsupervised machine learning algorithms. Knowledge of engineering causal models and convolutional neural networks a big plus.
• Also, it would be great if he/she has a proven track record of deploying learning algorithms in a production system.
• Tech Stack: Python, Data Processing Tools like ApacheSpark, Numpy.

Soft Skills
• Ability to work independently and as part of a team.
• Good analytical skills with a challenging and enquiring mind.
• Good communication skills, well organized, persistent and driven to get things done.
• Responsible and reliable
• Immediate availability
• High level of English (80%)
• Full time.
• Hiring for Professional services
• Home Office Work
• Attractive salary

Contact:
Send CV with photograph to:
and rrhh@optechpartners.com,
Subject: Senior ML Engineer (Python), add desired salary.