Offer summary

Qualifications:

Bachelor's degree in Computer Science, Mathematics, or related field; Master's preferred., 3-5 years of proven experience in machine learning engineering or similar roles., Strong programming skills in Python and familiarity with ML frameworks like TensorFlow or PyTorch., Solid understanding of data structures, data modeling, statistics, and algorithms..

Key responsibilities:

Design, develop, and deploy machine learning models and algorithms.

Analyze complex data and identify opportunities for applying machine learning techniques.

Collaborate with cross-functional teams to develop solutions for business problems.

Research and implement appropriate ML algorithms, run tests, and fine-tune models.

Job description

BlackStone eIT, a leading computer software company, is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. As a Senior Machine Learning Engineer at BlackStone eIT, you will be responsible for designing, developing, and deploying stateoftheart machine learning models and algorithms. You will work closely with crossfunctional teams to analyze complex data, identify opportunities for applying machine learning techniques, and lead the development and implementation of solutions to solve challenging business problems.

In this role, you will have the opportunity to work on cuttingedge projects, collaborate with industry experts, and make significant contributions to the companys success. We are seeking individuals who are passionate about machine learning, possess strong analytical and problemsolving skills, and have a proven track record in delivering successful machine learning solutions.

Requirements

Experience: 35 years
Proven experience as a Machine Learning Engineer or similar role
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python
Outstanding analytical and problemsolving skills
Familiarity with machine learning frameworks (like Tensorflow or PyTorch) and libraries (like scikitlearn)
Excellent communication skills

Ability to work in a team
BSc in Computer Science, Mathematics or a similar field; a Masters degree is a plus
Responsibilities

· Study and transform data science prototypes
· Research and implement appropriate ML algorithms and tools
· Develop machine learning applications according to requirements
· Select appropriate datasets and data representation methods
· Run machine learning tests and experiments
· Deploy the trained models and build REST APIs
· Perform statistical analysis and finetuning using test results
· Train and retrain systems when necessary
· Extend existing ML libraries and frameworks
· Study project Requirements
· write technical details at BRDs
· Keep abreast of developments in the field

Benefits

Paid Time Off
Work From Home
Performance Bonus
Training & Development