Key responsibilities include
· Deep understanding Applying advanced AI/ML techniques, including core statistical methods like Markov chain, Genetic algorithms, NLP and computer vision, finetuning SLM
· Identifying new opportunities, rapidly build, test, and refine proof-of-concept (PoC) models, creating automated experiments and pipelines.
· Strong Python, pyspark proficiency, knowledge of SQL,KQL,Azure, Databricks, graph DB, Ontology will be very useful in this role
· Aptitude to solve different, unfamiliar business problems is key to the role
· Should have a mindset of learning and experimenting with new methods and technology
· Education: Master’s or PhD in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
· Experience: 8+ years of experience in data science, with a proven track record of developing innovative AI/ML models.
· Technical Proficiency: Advanced knowledge of Python or Java for data analysis. Expert skills in SQL and data mining techniques.
· ML Expertise: Deep experience with frameworks like TensorFlow, PyTorch, and Scikit-learn.
· Analytical Mindset: Ability to handle unstructured data and apply statistical methods to validate hypotheses.
· Communication: Strong ability to communicate findings to stakeholders.
- Master's or PhD in Computer Science, Data Science, or a related field.
- 8+ years of experience in data science, with a strong focus on AI/ML.
- Expertise in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Hands-on experience with Python/PySpark, SQL/KQL, Azure, and Databricks.
- Knowledge of graph databases and ontologies for data representation.
- Strong analytical skills and a problem-solving mindset.
- Excellent communication skills for interacting with stakeholders and presenting complex ideas.
- Ability to work independently and manage multiple projects simultaneously.
- A continuous learning attitude and a passion for staying updated with industry trends.
- Experience in the automotive industry is an advantage.

