Software Engineer II

7 days ago

Mumbai, Maharashtra, India RELX Full time

Software Engineer-II

Would you like to be part of a team that delivers high-quality software to our customers?

Are you a highly visible champion with a 'can do' attitude and enthusiasm that inspires others?

About the business : LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our government vertical, our solutions assist government agencies and law enforcement to drive insights from complex data sets, improving operation efficiency, increasing program integrity, discovering, and recovering revenue, and making timely and informed decisions to enhance investigations. You can learn more about LexisNexis Risk at the link below.

About the Team:

This is an exciting opportunity to join a mature and established software engineering team as a Software Engineer (UI) within the ITTC team, and work in a modern, collaborative, agile development environment to help shape a business-critical software platform that plays a vital role in the success of the organization. You will join a team engaged in delivering web services and applications to the petrochemical and energy industries.

About the Role:

We are looking for a software engineer keen to join a global team composed of in-house and external specialist developers within a fast-paced, highly dynamic group, committed to continuous improvement and adoption of best practices. Working closely with an existing group of Developers, Architects, DevOps Engineers and Analysts, the software engineer will develop, implement, and optimize the products.

Responsibilities:

Proficiency with data manipulation languages. Ability to work with simple data models. Research, learn and apply mindset, 'go getter' personality. ML Engineer, with keen interest on Generative AI e.g; OpenAI, foundational models such as Llama2, Mistral, Anthropic. Strong knowledge, past projects with classical approach to ML(regression, classification, clustering, forecasting) Knowledge/exposure to MLOps/LLMOPs Some experience with Cloud technologies is preferred. Awareness and some demonstratable experience with good Software Engineering principles, preferably with Python Experience of deploying/scaling ML/LLM models is highly valued. Experience with Databricks and/or Azure ML is highly valued. Good communication skills, ability to express himself/herself in verbal and written manner.

Requirements:

Write and review portions of detailed specifications for the development of system components of moderate complexity. Complete simple bug fixes. Work closely with other development team members to understand product requirements and translate them into software designs. Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders. Resolve technical issues as necessary. Keep abreast of new technology developments. All other duties as assigned.

Learn more about the LexisNexis Risk team and how we work

#LI-MC1

#LI-Hybrid

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: , or please contact

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