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AI Lead
2 weeks ago
This role is ideal for an experienced data scientist who wants to take their career to the next level. As a senior data scientist, you will be responsible for leading complex data science and machine learning projects from ideation to production deployment.
Our team is looking for someone with a strong background in data science, machine learning, and programming languages such as Python and SQL. You should have expertise in key libraries like pandas, NumPy, SciPy, sklearn, Plotly, Matplotlib, and experience designing and implementing fuzzy matching, record linkage, and probabilistic matching algorithms.
Additionally, you should have good knowledge of Generative AI and LLM techniques, including prompt engineering, retrieval-augmented generation, embedding models, and hands-on experience with Databricks, including data pipelines, ML model development, and distributed computing on Spark.
As a senior data scientist, you will work closely with stakeholders to understand business needs and design appropriate technical solutions. You will also conduct thorough quality assurance testing for analytical prototypes and tools and provide mentorship to junior data scientists and help grow team-wide technical capabilities.
Requirements- Bachelor's or master's degree in data science, computer science, statistics, software engineering, or a related field.
- Proven experience in data science, machine learning, or ML engineering roles.
- Expert proficiency in Python and SQL.
- Deep knowledge of key Python libraries: pandas, NumPy, SciPy, sklearn, Plotly, Matplotlib.
- Good experience designing and implementing fuzzy matching, record linkage, and probabilistic matching algorithms.
- Familiarity with building recommendation engines and anomaly detection systems.
- Practical understanding of Generative AI and LLM techniques.
- Expertise in Databricks.
- Hands-on experience with Hue.
- EPAM Group income protection scheme.
- EPAM Group life assurance.
- Group health scheme.
- Employee Stock Purchase Plan (ESPP).
- Corporate Programs including Employee Referral Program with rewards.
- Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more.
Seniority Level: Mid-Senior level.
Employment Type: Full-time.
Job Function: Business Development, Information Technology, and Engineering.
Industries: Software Development and IT Services and IT Consulting.