Quantiphi - Senior Machine Learning Engineer - Python Programming (3-6 yrs)

Experience Level : 3 to 6 Years.

Work location : Mumbai.

Notice Period : 0-15 days.

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 client's success criteria.

- 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.

- 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.

- Serve as a mentor or guide for junior resources / freshers.

- Lead the technical discussion with the clients regarding updates / risks / blockers, etc.

- Fluent in communication.

Must have :

- 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 a strong desire to get it right.

- A pleasantly forceful personality and charismatic communication style.

- Someone who will raise the average effectiveness of the team.

- In short, we are looking for a "Difference Maker".

- 3+ years' hands-on experience of Hands-on in model development, deployment, and operationalization of projects in statistical ML, NLP, etc.

- Python, with proficiency in class-based coding.

- Strong understanding of coding standards and CI/CD practices.

- Proficient in SQL for data analytics including querying, analyzing and processing large datasets.

- ML development experience, particularly in statistical ML regression and classification models.

- NLP expertise, including embedding techniques and transformers, clustering methods.

- Knowledge of statistical techniques for data analysis.

- Understanding of MLOps basics, including model training, data/model monitoring, and retraining.

- Strong theoretical understanding of Machine Learning concepts, as well as Deep Learning-based architectures, cloud-based web services architecture, design patterns, and frameworks.

- Comfortable with exploring new research and engineering/development best practices types.

- Hands-on experience working on and handling projects in the healthcare domain would be a desired skill.

- Experience in implementing Deep Learning solutions about, but not restricted to, reinforcement Learning, Natural Language Processing, and Auto ML.

- Exposure to the latest cutting-edge research.

- Ability to implement a research paper, as well as augment the current solution and communicate it to clients and team.

- Great analytical skills, with expertise in analytical toolkits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modeling, and predictive analysis.

Good to have :

- Previous experience working in the healthcare domain.

- GenAI skills, with a focus on prompt engineering and RAG concepts.

- Basic hands-on experience working on projects catering to Natural Language Processing would be a good skill.

- Worked on Databricks for Model development.

- Hands-on experience with statistical tools and techniques.

- Basics of Pyspark for data processing.

- Experience with Agile/Scrum/DevOps software development methodologies.