Posted 09 July, 2026
Data Scientist
Saaki Argus & Averil Consulting
Bengaluru, KA, IN
Full Time
Reference: 5aefb35df202b78a
Job Description
Technical / Behavioural Expertise in Machine Learning (ML) and Artificial Intelligence (AI): \n
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- Ability to interpret business challenges and convert them into ML-based problem statements, followed by designing and executing complete end-to-end solutions. \n
- Extensive hands-on experience in leveraging data mining and ML methodologies to address complex, real-world business scenarios. \n
- Proficient in working with diverse data types structured, unstructured, audio, and both static and streaming datasets. \n
- Advanced proficiency in Natural Language Processing (NLP) and/or Natural Language Understanding (NLU) techniques is essential. \n
- Strong command of Generative AI and Large Language Models (LLMs), including pre-training, fine-tuning, domain adaptation, and agent-based workflow design. \n
- 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. \n
- Skilled in clearly articulating design decisions, trade-offs, and outcomes to both technical and business stakeholders. \n
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- Excellent verbal and written communication skills. \n
- Highly driven and goal-oriented, with a strong sense of ownership. \n
- Capable of working independently with minimal supervision. \n
- Effective collaborator in multidisciplinary and cross-functional teams. \n
- Able to coach, mentor, and support the growth of junior team members. \n
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- Advanced expertise in Python programming. \n
- Experience in developing and deploying ML models using cloud services such as AWS SageMaker. \n
- Familiar with Git-based workflows and CI/CD practices for collaborative, version-controlled development. \n
- Ability to structure and maintain clean, modular code using functional programming principles; exposure to statically typed functional languages is an advantage. \n
- Comfortable interacting with various data systems writing REST APIs, SQL queries, and PySpark scripts as needed. \n
- Experience with containerization technologies such as Docker. \n
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- Understanding of recommendation systems and reinforcement learning frameworks. \n
- Practical experience with frameworks such as LangChain, LangGraph, or LlamaIndex. \n
