6+ years of hands-on experience in Data Science and Machine Learning, Proven track record of launching ML projects from scratch, Competency in Machine Learning algorithms and MLOps pipelines, Strong skills in Python, Pandas, Scikit-learn, and ML/DL frameworks like PyTorch and TensorFlow..
Key responsibilities:
Understand business goals to drive success through data-driven solutions
Develop, deploy, and maintain machine learning models
Lead research and continuous improvement efforts for innovative solutions
Collaborate with team members to share insights and explore new data science breakthroughs.
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Exadel is a leading global software consulting and development company that looks beyond the code to maximize the technology-driven business impact our partners want to make.
For over 25 years, we've helped enterprise companies transform their businesses with technology. Our team of 2,000+ experts across 30+ delivery centers in 17 countries helps clients reinvent the way they do business with end-to-end software consulting, design, engineering, and managed services.
We've successfully delivered 3,500+ software projects, and with an overall client satisfaction score of 9 out of 10, it's clear that we're obsessed with quality service and code.
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 not only add value but also 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.
Work at Exadel – Who We Are
We don’t just follow trends—we help define them. For 25+ years, Exadel has transformed global enterprises. Now, we’re leading the charge in AI-driven solutions that scale with impact. And it’s our people who make it happen—driven, collaborative, and always learning.
Requirements
6+ 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-Agents 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
Responsibilities
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
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
Dear candidate, our recruiters only use email addresses with the Exadel domain: @exadel.com. Please be cautious of potential scams. For more details please visit
Required profile
Experience
Spoken language(s):
English
Check out the description to know which languages are mandatory.