Data Scientist - Generative AI & Python

About The Company:

Ara'sClient is a leading IT solutions provider, offering Applications, Business Process Outsourcing (BPO) and Infrastructure services globally through a combination of technology knowhow, domain, and process expertise. The accolades It has been garnering can be attributed to their undeterred focus in delivering quality solutions across verticals that meet the challenging requirements of their esteemed customers has been recently felicitated by the Economic Times as the most distinguished digital company 2015. They have also been ranked 29 of 100 largest financial technology vendors by

American Banker and BAI in the FinTech Forward Top 100 rankings.

The Role : Data Scientist

Key Responsibilities :

- Design and implement data pipelines to collect, process, and integrate data from various sources

- Develop and optimize machine learning and deep learning models for predictive analytics, computer vision, natural language processing, and more

- Leverage big data technologies like Hadoop, Spark, and NoSQL databases to handle large-scale datasets

- Explore and apply generative AI techniques to generate synthetic data, create content, and automate tasks

- Implement MLOps practices to streamline the model development lifecycle and enable continuous deployment

- Present findings and recommendations to stakeholders in a clear and compelling manner

- Lead cross-functional teams to deliver AI projects on time and within budget

- Stay current with the latest advancements in AI, data engineering, and related technologies

Skills Required :

- 8+ years of experience in data science, machine learning, and AI

- Proficiency in Python, SQL and data visualization tools like Tableau or PowerBI

- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Keras

- Knowledge of deep learning architectures and techniques for computer vision, NLP, and generative AI

- Hands-on experience with big data technologies such as Hadoop, Spark, and NoSQL databases

- Understanding of MLOps principles and tools for model versioning, monitoring, and deployment

- Familiarity with Kubernetes core concepts like pods, deployments, services, and ingress

- Strong communication and leadership skills to effectively collaborate with cross-functional teams

- Ability to work in a fast-paced, agile environment and adapt to changing priorities

Qualifications & Experience :

- Any Graduate BE/BTech (Computer Science, Information Systems or equivalent)

- 5+ years overall IT experience