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:

You must be committed to self-development means you must look for ways to build skills that you will need in the future. You must learn and grow from experience. Opportunities will be available and you must be able to stretch yourself to execute better and be flexible to take up new activities..

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.

Our Commitment to Diversity, Equity & Inclusion

At Emerson, we are committed to fostering a culture where every employee is valued and respected for their unique experiences and perspectives. We believe a diverse and inclusive work environment contributes to the rich exchange of ideas and diversity of thoughts, that inspires innovation and brings the best solutions to our customers.

This philosophy is fundamental to living our company’s values and our responsibility to leave the world in a better place.  Learn more about our Culture & Values and about Diversity, Equity & Inclusion at Emerson. 

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