Company Overview :

Talent Pro is a leading talent solutions provider, connecting top-tier professionals with innovative companies across diverse sectors including technology, finance, and healthcare. We specialize in identifying and placing highly skilled individuals who can drive growth and innovation for our clients. Our commitment to excellence and deep understanding of the talent landscape makes us a trusted partner for organizations seeking to build high-performing teams.

Role Overview :

As a Data Scientist / AI Engineer at Talent Pro, you will be responsible for developing and implementing cutting-edge machine learning models and AI solutions for our clients.

You will collaborate closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to understand their needs and translate them into actionable insights and impactful solutions. Your work will directly contribute to improving business outcomes, optimizing processes, and driving innovation for our clients across various industries.

Key Responsibilities :

- Develop and deploy machine learning models using Python to solve complex business problems for our clients.

- Design and implement Retrieval Augmented Generation (RAG) systems to enhance the performance of large language models for improved information retrieval and generation.

- Conduct data analysis and feature engineering to prepare data for machine learning models, ensuring data quality and relevance for our clients.

- Evaluate and fine-tune machine learning models to optimize performance and accuracy, ensuring the delivery of high-quality solutions for our clients.

- Communicate technical findings and recommendations to stakeholders through clear and concise presentations and reports, enabling data-driven decision-making for our clients.

- Stay up-to-date with the latest advancements in machine learning, AI, and data science, and apply them to improve our solutions and services for our clients.

Required Skillset :

- Proven ability to develop and deploy machine learning models using Python and related libraries (e.g., scikit-learn, TensorFlow, PyTorch).

- Demonstrated experience in designing and implementing Retrieval Augmented Generation (RAG) systems.

- Strong understanding of data analysis, feature engineering, and model evaluation techniques.

- Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

- Adaptable to working in a fast-paced, client-focused environment, delivering high-quality solutions within defined timelines.