Senior/Lead AI Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

5+ years of experience in Data Science and Machine Learning., Proven track record of launching ML projects from scratch., Knowledge of ML algorithms, limitations, and use cases., Skills in Python, Pandas, Scikit-learn, ML/DL frameworks like PyTorch and TensorFlow..

Key responsibilities:

  • Lead the development and deployment of machine learning models.
  • Collaborate with teams to understand business goals and translate them into data solutions.
  • Own the full lifecycle of ML models, including maintenance and monitoring.
  • Stay updated with the latest breakthroughs in applied data science.

Job description

We’re on the hunt for a Lead Data Scientist/ML Engineer to take the lead in shaping the future of machine learning at Exadel. As part of an embedded team, you’ll be pivotal in driving innovation and developing cutting-edge machine-learning solutions across multiple high-impact projects.

Your expertise will add value and be the driving force behind key company initiatives, helping us push boundaries and achieve new levels of success. We want to hear from you if you’re a passionate, forward-thinking professional ready to take on this rare and rewarding opportunity.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

What You’ll Do
  • Dive deep into business goals to understand what drives success
  • Bring fresh ideas to the table and turn them into real-world impact for our clients and teams
  • Own the full lifecycle of your models: from development and deployment to maintenance and monitoring
  • Lead research and continuous improvement efforts, pushing for more innovative, faster, better solutions
  • Collaborate closely with the team, sharing insights, approaches, and inspiration
  • Stay ahead of the curve by exploring the latest breakthroughs in applied data science
What You Bring
  • 5+ years of hands-on experience in Data Science and Machine Learning
  • A proven track record of launching ML projects from scratch: from problem analysis and data collection to PoC and deployment to production
  • Competency in Machine Learning algorithms, their limitations, and use cases
  • Knowledge of setting up MLOps pipelines and frameworks
  • Skills in Generative AI, Multi-Agent systems, and Prompt Engineering
  • Confidence working with Python, Pandas, Scikit-learn, Matplotlib, SQL
  • Expertise in ML/DL frameworks such as PyTorch and TensorFlow
  • A sharp-minded person who can dive into the business domain and emerge with ideas on how to use data to make the business more effective
Nice to Have
  • BS or MS in Computer Science or related field
  • Hands-on familiarity with microservices, task queues like Celery, cloud platforms (AWS or Azure), Docker, basic OS and networking concepts, and database systems like Postgres
  • Kaggle or GitHub portfolio showcasing real-world projects and your technical strengths
English level

Upper-Intermediate

Legal & Hiring Information
  • Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
  • Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
  • Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Advantages of Working with Exadel

Exadel is a global company, and benefits can vary depending on your location and contract type. Your recruiter will provide specific information about the benefits available to you.

  • International projects
  • In-office, hybrid or remote mode
  • Medical healthcare
  • Recognition program
  • Professional & personal development opportunities
  • Foreign languages classes
  • Well-being program
  • Corporate events
  • Sports compensation
  • Referral program
  • Equipment provision
  • Paid vacation & sick days

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

  • Collaboration

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