Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment).
Analyzing and interpreting the findings.
Drawing conclusions and recommendations - including expected benefits and measuring ROI for enhancing business processes.
Supporting Pre-sales activities and initiatives.
Requirements:
At least 5 years of experience in a similar position.
Familiarity with theory behind various machine learning concepts.
Experience with Machine Learning (ML), especially in the area of Genertative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multi modal models.
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment.
Fluency in Python, working knowledge of SQL and vector database.
Knowledge of specific DS/ML/CVGenAI/NLP libraries like: NumPy, Keras, TensorFlow, PyTorch, HuggingFace, LangChain, and GenAI APIs i.e. OpenAI/Gemini.
Expertise in Azure cloud resources, Databricks.
We offer:
Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
“Office as an option” model. You can choose to work remotely or in the office.
Great Place to Work® certified employer.
Flexibility regarding working hours and your preferred form of contract.
Comprehensive online onboarding program with a “Buddy” from day 1.
Cooperation with top-tier engineers and experts.
Unlimited access to the Udemylearning platform from day 1.
Certificate training programs. Lingarians earn 500+ technology certificates yearly.
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
Grow as we grow as a company. 76% of our managers are internal promotions.
A diverse, inclusive, and values-driven community.
Autonomy to choose the way you work. We trust your ideas.
Create our community together. Refer your friends to receive bonuses.
Activities to support your well-being and health.
Plenty of opportunities to donate to charities and support the environment.
Modern office equipment. Purchased for you or available to borrow, depending on your location.