Roles & Responsibilities:
- Developing high-level solution architectures and working with our offshore team of big-data engineers and decision science analysts to build, test and assess models that predict and optimize business outcomes based on client's success criteria.
- Developing code and model building as per project requirements
- Develop sophisticated yet simple interpretations and communicate insights to clients that lead to quantifiable business impact.
- Building deep relationships with clients by understanding their stated but more importantly, latent needs.
- Mentoring Junior Machine Learning engineers
- Working closely with the offshore delivery managers to ensure a seamless communication and delivery cadence.
- Researching and identifying sales opportunity, generating leads, target identification and classification
Required Skills:
- Hands-on experience with statistical tools and techniques
- Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
- Should have worked on GenAl projects in the past
- Hands on experience with Python, Pyspark and SQL development
- Hands on experience of NLP related use cases
- Hands on experience of LLMs
- Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines
- Hands on experience with cloud AWS Cloud and AWS services
- Ability to think creatively and work well both as part of a team and as an individual contributor Critical eye for the quality of data and robust desire to get it right.
- A pleasantly forceful personality and charismatic communication style.
- Strong communication skills.