Data Scientist

Saaki Argus & Averil Consulting; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Saaki Argus & Averil Consulting is seeking an accomplished AI/ML professional to interpret business challenges into ML-based solutions and deliver end-to-end deployments. You will work with diverse data types, apply NLP/NLU methods, and leverage Generative AI and LLMs for practical use cases within the organization.

The role requires strong Python skills, experience with AWS SageMaker, and proficiency in building scalable ML solutions with Docker, Git, and CI/CD.

Qualifications

• Experience translating business problems into ML solutions.
• Hands-on ML with data mining to address real-world scenarios.
• Experience with structured, unstructured, audio and streaming data.
• Strong NLP/NLU capabilities.
• Familiar with Generative AI/LLMs and agent workflows.
• Keeps up-to-date with ML GenAI research.
• Clear communication of design decisions to tech and biz stakeholders.

Responsibilities

• Interpret business challenges into ML problem statements and design end-to-end solutions.
• Leverage data mining and ML to address real-world business scenarios.
• Work with diverse data types including streaming data.
• Apply NLP/NLU techniques and GenAI to practical use cases.
• Explain trade-offs and outcomes to stakeholders.

Skills

ML/AI expertise

Data mining

NLP/NLU

Generative AI & LLMs

End-to-end ML

Python

REST APIs

SQL

Docker

Git & CI/CD

Recommendation systems

Reinforcement learning

Education

M.Tech/PhD in ML/AI

MSc/BE in CS

Tools

AWS SageMaker

Docker

PySpark

REST APIs

SQL

Git

LangChain

LangGraph

LlamaIndex

Job description

Technical / Behavioural

Expertise in Machine Learning (ML) and Artificial Intelligence (AI):

• Ability to interpret business challenges and convert them into ML-based problem statements, followed by designing and executing complete end-to-end solutions.


• Extensive hands-on experience in leveraging data mining and ML methodologies to address complex, real-world business scenarios.


• Proficient in working with diverse data types structured, unstructured, audio, and both static and streaming datasets.


• Advanced proficiency in Natural Language Processing (NLP) and/or Natural Language Understanding (NLU) techniques is essential.


• Strong command of Generative AI and Large Language Models (LLMs), including pre-training, fine-tuning, domain adaptation, and agent-based workflow design.


• Demonstrated ability to stay current with the latest research in ML/GenAI and apply state-of-the-art approaches to practical use cases within the organization.


• Skilled in clearly articulating design decisions, trade-offs, and outcomes to both technical and business stakeholders.

Behavioural / Soft Skills

• Excellent verbal and written communication skills.


• Highly driven and goal-oriented, with a strong sense of ownership.


• Capable of working independently with minimal supervision.


• Effective collaborator in multidisciplinary and cross-functional teams.


• Able to coach, mentor, and support the growth of junior team members.

Additional Skills

• Advanced expertise in Python programming.


• Experience in developing and deploying ML models using cloud services such as AWS SageMaker.


• Familiar with Git-based workflows and CI/CD practices for collaborative, version-controlled development.


• Ability to structure and maintain clean, modular code using functional programming principles; exposure to statically typed functional languages is an advantage.


• Comfortable interacting with various data systems writing REST APIs, SQL queries, and PySpark scripts as needed.


• Experience with containerization technologies such as Docker.

Desirable Skills

• Understanding of recommendation systems and reinforcement learning frameworks.


• Practical experience with frameworks such as LangChain, LangGraph, or LlamaIndex.