Lead Engineer - AI

In This Role, Your Responsibilities Will Be:

• Analyze large, complex data sets using statistical methods and machine learning techniques to extract meaningful insights.
• Develop and implement predictive models and algorithms to solve business problems and improve processes.
• Create visualizations and dashboards to effectively communicate findings and insights to stakeholders.
• Work with data engineers, product managers, and other team members to understand business requirements and deliver solutions.
• Clean and preprocess data to ensure accuracy and completeness for analysis.
• Prepare and present reports on data analysis, model performance, and key metrics to stakeholders and management.
• Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective
• Stay updated with the latest industry trends and advancements in data science and machine learning techniques
  

Who You are:

For This Role, You Will Need:

• Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.
• Total 7-10 years of industry experience
• More than 5 years of experience in a data science or analytics role, with a strong track record of building and deploying models.
• Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience with NLP, NLG, and Large Language Models like – GPT , BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy).
• Experience with machine learning frameworks and libraries such as Go, TensorFlow, PyTorch
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Experience with SQL and NoSQL databases such as MongoDB, Cassandra, Vector databases
• Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights.
• Excellent verbal and written communication skills, with the ability to present complex technical information to non-technical stakeholders.
  

Preferred Qualifications that Set You Apart:

• Prior experience in engineering domain would be nice to have
• Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have
• Possession of relevant certification/s in data science from reputed universities specializing in AI.
• Familiarity with cloud platforms, Microsoft Azure is preferred
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.
• Strong analytical and troubleshooting skills, with the ability to resolve issues related to model performance and infrastructure.
  

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