Machine Learning Engineer Job Description Template

Job Description:

We are looking for an experienced Machine Learning Engineer with [ X ] years of experience in a similar position. You will be responsible for designing and developing self-running AI systems and delivering robust solutions with our team of designers and developers.

Job Responsibilities:

• Designing and developing systems using Machine Learning
• Implementing new Machine Learning tools and algorithms
• Examining data quality for Machine Learning (ML) applications
• Establishing Machine Learning (ML) and data science prototypes
• Conducting statistical analysis for Machine Learning (ML) models
• Improving Machine Learning (ML) models using the results
• Working in a team of other developers and designers, sharing ideas and developing prototypes
• Running Machine Learning tests
• Conducting code reviews and providing Machine Learning (ML) code quality and standards compliance
• Being involved in Machine Learning (ML) processes of agile development

Required Skills:

• [ X ] years of work experience in a similar position
• [ X ] years of experience with Python and its frameworks, like PyTorch and Tensorflow, and SQL.
• Familiarity with Hadoop, Spark, Pig, Hive or other big data frameworks **is a must
• Proficiency with Theano, Tensorflow, Caffe
• Good command of ML libraries and packages
• Strong knowledge of AWS, GCP, Azure or other cloud platforms
• Strong understanding of data structures and software architecture
• Ability to visualize and manipulate large datasets is a must
• Experience with Git or other version control systems
• Excellent communication and collaboration abilities, with a proven track record of working effectively within a team environment
• Strong analytical and problem-solving skills, dedicated to delivering high-quality solutions
• Proficiency in English is required.

Perks and Benefits:

• Competitive Salary
• Health Insurance: medical, dental, and vision plans
• Retirement Plans
• Paid Time Off: vacation days, holidays, and sick leave
• Flexible Work Arrangements: remote work options and flexible scheduling
• Professional Development: learning and development opportunities, including training programs, workshops, and conferences
• Wellness Programs: fitness classes, mindfulness sessions, and employee assistance programs
• Commuter Benefits: public transit subsidies, parking discounts, and bike-to-work incentives
• Employee Discounts: discounts on company products or services, perks and privileges from partner organizations
• Life Insurance
• Parental Leave: paid time off for maternity, paternity, and adoption leave
• Career Growth Opportunities: promotions, lateral moves, and leadership development programs
• Social Events and Perks: team outings, catered meals, snacks, and recreational activities

Salary Expectations:

$[ X ]k-$[ X ]k yearly