Data Scientist

1 month ago

gurugram, India Hudson RPO Full time

Job Description :

Apply for a highly sought-after position as a Data Scientist/GenAI LLM Engineer. Join our dynamic team, where we deliver cutting-edge projects to global leaders in the energy sector, focusing on how we power the planet.

We specialize in harnessing the power of AI and machine learning technologies to unlock the value hidden within structured and unstructured data, enabling our clients to maximize the potential of their enterprise information.

As a GenAI/LLM Engineer, you will apply your profound knowledge of GenAI/LLM technologies. Your main responsibilities will include working closely with clients to conceptualize, create, test, and implement products utilizing GenAI/LLM technology on a significant scale. Moreover, you will play a crucial role in refining the parameters of LLM models, enhancing their setup to guarantee superior model performance and deliver beneficial results for our clients. Come join us and be a pioneer in advancing AI and machine learning solutions within the energy industry.

Main Responsibilities :

Working in a lead role within a team of AI Engineers you'll lead the technical aspects of the team responsible for writing, testing, and delivering robust pipelines and processes which feed data into Lens Platform.

Using established patterns with Python, AWS, and a bespoke Data Platform you'll be supporting more junior members of the team deliver key pieces of work, while continually looking to improve existing technical approaches as well as prototyping and operationalizing new patterns and processes.

As a technical leader, we're looking for someone who has informed opinions on technologies, frameworks, and approaches to delivery. You must be able to articulate ideas effectively and strive to constantly improve deliverables.

Qualifications :

- Extensive experience in Python and SQL, with other languages such as R or PySpark desirable.

- Extensive experience with SQL and NoSQL (e.g., Postgres, Aurora, SQL Server, Oracle, Neo4j) databases.

- Demonstratable experience with modern ETL tools (e.g., AWS Glue, AWS Step Functions, Kafka etc.).

- DevOps experience around continuous delivery and approaches to continuous integration (Jenkins, Docker, CloudFormation/Terraform).

- Experience contributing alongside other Senior Engineers, to the Architectural conceptualization, design, implementation, and maintenance of modern data pipelines.

- You will help mentor and coach more junior members of the team, and it's essential that you're able to take on the challenge of continuous learning and improvement. We actively encourage and support obtaining formal certification such as those offered by AWS.

- You will work directly with stakeholders, often internationally, so it's essential that you can form a good working relationship with them, understanding what they want and keep them up to date with progress.

(ref:hirist.tech)

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