Quantiphi - Senior Machine Learning Engineer - Python/PySpark

2 weeks ago

Bengaluru, Karnataka, India Quantiphi Analytics Full time

Role & 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 clients 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.

Skills Required :

Apart from being Driven, Energetic and Ambitious, youll need the following :

- 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 GenAI 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 computing services like AWS (Sagemaker experience is a plus).

- 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 strong desire to get it right.

- A pleasantly forceful personality and charismatic communication style.

- Strong communication skills.

(ref:hirist.tech)

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