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Senior AI/ML engineer/lead

extra holidays - extra parental leave - fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Proficiency in various ML algorithms and frameworks like TensorFlow, PyTorch., Experience in NLP techniques, generative AI, and cloud platforms/services., Knowledge of Python programming for ML and data science projects..

Key responsabilities:

  • Designing and implementing AI/ML solutions for different products.
  • Leading and mentoring junior team members in technical aspects.
  • Communicating effectively with stakeholders to align tech strategy.
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DXC Technology Information Technology & Services Large http://www.dxc.com/
10001 Employees
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Job description

Job Description:

About DXC Bulgaria  

We are DXC - a Fortune 500 global IT services leader. In Bulgaria, we are among the largest employers with over 4,000 employees working on the company's entire IT portfolio. We are flexible - we provide everything you need to comfortably work from home, but we also keep our offices open for collaboration, meetings, and building a strong team spirit. We tailor everyone’s development path to their individual interests through training and additional certifications.

Our experience and desire to grow, our mission, and our values ​​create an environment where ambitious people become successful at home. At home - in Bulgaria.

Inside the Insurance Software Business organization a new world class AI Products team has been formed to create innovative AI/GenAI/ML solutions to be delivered as standalone Products or embedded in the  Insurance Products of the broader ISB portfolio.

Daily challenges

  • In cooperation with the team manager and the other senior AI/ML specialists you will have the responsibility of identifying and design the best solutions and AI/ML components for all or a range of AI Products.
  • Directly deliver the AI/ML components assigned to you as part of one or more Products.
  • Participate in daily scrum meetings.
  • Perform Project Management activities where required.
  • Monitor, coach and support more junior members of the team.
  • Be part of the the “AI Products Tech leadership team” and suggest, new innovative ways for applying AI/ML technologies to the Insurance world.

eXperience and skills required

  • Proficiency in machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, etc.
  • Experience with popular AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
  • Proficiency in natural language processing (NLP) techniques and models, Text Classification , RNNs, CNNs, and Transformer-based models like BERT.
  • Experience with generative AI and related terminologies, including RAG (Retrieval-Augmented Generation), Vector DBs, and frameworks such as LangChain, Hugging Face, etc.
  • Strong programming skills in languages commonly used for data science and ML, especially in Python.
  • Ability to design and implement end-to-end AI/ML solutions, from data preprocessing and feature engineering to model deployment and monitoring.
  • Knowledge of cloud platforms and services for AI/ML, such as AWS, Azure, or Google Cloud Platform, preferably in AWS.
  • Knowledge of AWS Cloud Resources like AWS Sagemaker, Lambda, DynamoDB, S3, etc. a plus.

Leadership and Management Skills:

  • Experience leading a team of data scientists, machine learning engineers, or related roles on a specific project.
  • Ability to mentor and coach junior team members, providing technical guidance and fostering a collaborative work environment.
  • Strong project management skills, including the ability to prioritize tasks, allocate resources effectively, and meet deadlines.
  • Experience in setting technical direction and strategy for AI/ML projects aligned with business goals.
  • Proven ability to communicate effectively with stakeholders at various levels, including technical and non-technical audiences.
  • Prior experience in Insurance a plus.

Company benefits

  • Competitive remuneration package
  • Additional Medical § Life insurance
  • 4 days additional paid leave (total: 24 days)
  • The possibility to work entirely remotely
  • Food vouchers
  • Training, continuous learning and career development in the largest IT company on the market
  • Unlimited access courses from a bunch of external partners for the best learner's experience (e.g., LinkedIn Learning, Udemy)
  • Access to a foreign language learning platform
  • Stable employment in an international company
  • Advancement opportunities within the organization (a variety of interesting projects with the array of technologies and tools)
  • Flexibility in work arrangement (hybrid or fully remote work, the home office culture is in our DNA)
  • Workplace equipment to organize your home office (e.g., chair, desk, additional monitor, headset etc.)
  • DXC Partner courses and certifications (Microsoft, SAP, ServiceNow, AWS, Google, Dell Technologies, IBM, Microfocus, Salesforce, Red Hat, VMware, Workday)
  • Employee Referral Program - a financial bonus for the referrer for successful candidate recommendation
  • Employee Recognition Program with points assigned by colleagues for the recognized employees (exchangeable for prizes)
  • Employee Assistance Program (providing 24/7 support for employees and their families in difficult life situations)
  • Opportunity to join our numerous charity and ecology-related events organized by our Employee Ambassadors team


We Deliver eXcellence for our Customers and colleagues every day. Our values form the foundation of everything we do and every decision we make.

If you see yourself working with us, do not delay sending us your CV in English.

At DXC our employees’ safety and well-being remain a key priority for us. Therefore, we continue with stay-at-home recruiting and video interviewing for the foreseeable future.

Please note, only shortlisted candidates will be contacted.

This is to inform you that DXC Technology is registered as an administrator of personal data to the Commission for Data Protection. Some of the information that you provide voluntarily is personal information and falls under the special protection regime under the Law on Personal Data Protection. The personal data provided by you will be processed for the purposes of the selection process as well as for the realization of the legitimate interests of the data controller in respect of any future contract of employment. DXC takes the responsibility to handle, use and store your personal data, ensuring its protection in secret from the third parties. We inform you and you agree that DXC may provide your personal data to government, municipal institutions, banks, companies, corporate bodies, and individuals, where such obligation exists under a special legal provision, where it is necessary for realization of your rights and legal interests as a participant in the selection process, and when it is necessary to realize the legitimate rights and interests of DXC. DXC can provide your personal information to corporate bodies and individuals who are assigned to actions and activities relating to the selection process and in respect of any future contract of employment.

Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.

Required profile

Experience

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

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