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Senior Machine Learning Engineer

extra holidays - fully flexible - possibility to work some days per months as volunteer
Remote: 
Full Remote
Contract: 
Salary: 
19 - 19K yearly
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Expert-level proficiency with cloud technologies, ideally AWS., Extensive experience with containerization and orchestration, preferably Kubernetes., Deep understanding of software development, DevOps, and MLOps best practices., Significant experience in designing, deploying, and maintaining scalable models., Proficiency in Python, SQL, and familiarity with Go or other languages..

Key responsabilities:

  • Collaborate with Data Science on seamless model deployment.
  • Architect and oversee machine learning pipelines for efficiency.
  • Mentor mid-level engineers and promote best practices.
  • Communicate complex ML concepts to technical and non-technical stakeholders.
  • Lead integration of new technologies aligning with organizational goals.
Ciklum logo
Ciklum Startup https://www.ciklum.com/
1001 - 5000 Employees
See more Ciklum offers

Job description

Ciklum is looking for a Senior Machine Learning Engineer to join our team full-time in Ukraine.


We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.


About the role:

As a Senior Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.


Responsibilities:

  • Collaborate with the Data Science team to ensure seamless deployment of machine learning models in production and optimize them for efficiency and accuracy at scale
  • Architect and oversee the development of complex machine learning pipelines, managing real-time and batch inference systems integral to predictive platforms
  • Work closely with cross-functional teams to anticipate future needs and recommend long-term solutions aligned with business objectives, facilitating communication between technical teams and business stakeholders
  • Mentor and guide mid-level Machine Learning Engineers, providing support in their professional development and fostering a culture of best practices across the organization
  • Conduct comprehensive code reviews, identifying areas for improvement and promoting continuous learning through knowledge sharing
  • Communicate effectively with both technical and non-technical stakeholders, translating complex machine learning concepts into actionable insights and presenting innovative solutions to key stakeholders
  • Lead the integration of new technologies and tools into existing infrastructure, ensuring alignment with organizational goals and staying ahead of industry trends to maintain cutting-edge machine learning frameworks
  • Guide the strategic direction of the organization’s machine learning initiatives, identifying opportunities to enhance operational efficiency and align with overall business strategy


Requirements:

  • Expert-level proficiency with cloud technologies (ideally AWS) and extensive experience with containerization and orchestration (preferably Kubernetes)
  • Deep understanding of software development, DevOps, and MLOps best practices, with a proven track record of applying them in production
  • Extensive experience in designing, deploying, and maintaining scalable models and services in production environments
  • Strong understanding of Machine Learning, with the ability to collaborate deeply with Data Scientists on model deployment and optimization
  • Significant experience with Data Engineering, Kafka, and stream processing
  • Proficiency in Python and SQL; experience with Go or other programming languages is a strong plus


Personal skills:

  • Leadership skills, including mentoring and guiding mid-level engineers, and shaping team best practices
  • Ability to generate and validate ideas with PoCs and build them into functional, scalable components
  • Holistic project approach, taking ownership from initial concept through to integration, deployment, and lifecycle management
  • Strong critical analysis of architectural approaches, driving strategic decisions about infrastructure and machine learning pipelines
  • Self-motivated, with a track record of driving innovative solutions and seeing projects through to completion
  • Expertise in agile methodologies and exceptional collaborative leadership skills, fostering cross-team alignment
  • Excellent communication, including the ability to present complex ideas to both technical and non-technical stakeholders
  • A preference for scalable, strategic solutions over complex or overly intricate designs


What`s in it for you?

  • Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, Mental Health programs, as well as financial and legal consultations
  • Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications
  • Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
  • Own your schedule – you are the one to decide when to start your working day. Just don’t miss your regular team stand-up
  • Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential
  • Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
  • Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events


About us:

Discover the pros of 20-year global experience! Join one of the largest IT companies in Ukraine, awarded as one of the top 10 employers in Ukraine by Forbes.

Boost your skills and make a difference with cutting-edge projects, skilled colleagues and the latest tech stacks.

Ciklum has been recognised as a veteran-friendly business by the Veteran Hub in Ukraine.

We're committed to creating a welcoming environment for veterans and developing processes that meet their needs. We value the skills and unique perspectives military veterans can bring to our business and are willing to support their transition to civilian life.


Be bold, not bored!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Leadership
  • Critical Reflection

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