About the Role:
We are seeking a highly skilled and experienced Senior Data Scientist or Machine Learning(ML) Engineer. to join our growing Data & AI team. The ideal candidate will have a strong background in machine learning, statistical modeling, and data analysis. Proven track record of delivering ML and data-driven solutions. This role will involve working closely with cross-functional teams to solve complex business problems, build predictive models, and drive actionable insights.
What You’ll Do:
- Develop, test, implement and optimize machine learning models for different data types(Images, Videos, Text).
- Analyze large, complex datasets to identify trends, patterns and insights.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Design and maintain data pipelines for efficient data collection, processing, and analysis.
- Perform advanced statistical analysis and create visualizations to communicate findings effectively.
- Conduct A/B testing to evaluate model performance and optimize business outcomes.
- Stay updated with the latest advancements in data science, AI, and machine learning technologies, including generative AI (LLMs, Agentic AI).
- Mentor junior team members and provide guidance on best practices in data science.
Who We’re Looking For:
- A data-driven professional with hands-on experience in building and deploying machine learning models and data-driven solutions.
- Someone with a strong background in Image Processing, data analysis, statistical modeling, and cloud platforms.
- A collaborative team player who can work with data engineers, analysts, and business stakeholders to understand their needs and deliver actionable insights.
Essential Skills:
- Education: Master’s or PhD in Data Science, Computer Science, Statistics, or a related field.
- Experience: 5-7 years of hands-on experience in data science, machine learning, or a similar role.
- Technical Skills:
- Proficiency in programming languages such as Python, R, or Scala.
- Strong experience with machine learning frameworks (e.g., OpenCV, Deepface TensorFlow, PyTorch, Scikit-learn).
- Expertise in SQL and working with relational databases.
- Expertise with computer vision tools (e.g., HuggingFace Transformers, )
- Expertise with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Understanding of data pipelines and ETL processes.
- Experience with A/B testing and experimental design.
- Knowledge of generative AI, including Large Language Models (LLMs) and Agentic AI.
Nice-to-Haves:
- Experience in deploying machine learning models into production environments.
- Knowledge of deep learning techniques and natural language processing (NLP).
- Familiarity with MLOps practices and tools.