Data Research Engineer - AI/ML
Data Research Engineer - AI/ML
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Job Description
Responsibilities:
Develop methods to leverage the potential of LLM and AI within the team.
Proactive at finding new solutions to engage the team with AI/LLM and streamline processes
in the team.
Be a visionary with AI/LLM tools and predict how the use of future technologies could be
harnessed early on so that when these technologies come out the team is ahead of the game
regarding how it could be used.
Assist in acquiring and integrating data from various sources including web crawling and API
integration.
Stay updated with emerging technologies and industry trends.
Explore thirdparty technologies as alternatives to legacy approaches for efficient data
pipelines.
Contribute to crossfunctional teams in understanding data requirements.
Assume accountability for achieving development milestones.
Prioritize tasks to ensure timely delivery in a fastpaced environment with rapidly changing
priorities.
Collaborate with and assist fellow members of the Data Research Engineering Team as
required.
Leverage online resources effectively like StackOverflow ChatGPT Bard etc. while
considering their capabilities and limitations.
Qualifications :
Skills and Experience
Bachelors degree in Computer Science Data Science or a related field. Higher
qualifications is a plus.
Think proactively and creatively regarding the next AI/LLM technologies and how to use
them to the teams and companys benefits.
Think outside the box mentality.
Experience prompting LLMs in a streamlined way taking into account how the LLM can
potentially hallucinate and return wrong information.
Experience building agentic AI platforms with modular capabilities and autonomous
task execution. (crewai lagchain etc.)
Proficient in implementing RetrievalAugmented Generation (RAG) pipelines for
dynamic knowledge integration. (chromadb pinecone etc)
Experience managing a team of AI/LLM experts is a plus: this includes setting up goals
and objectives for the team and finetuning complex models.
Strong proficiency in Python programming
Proficiency in SQL and data querying is a plus.
Familiarity with web crawling techniques and API integration is a plus but not a must.
Experience in AI/ML engineering and data extraction
Experience with LLMs NLP frameworks (spaCy NLTK Hugging Face etc.)
Strong understanding of machine learning frameworks (TensorFlow PyTorch)
Design and build AI models using LLMs
Integrate LLM solutions with existing systems via APIs
Collaborate with the team to implement and optimize AI solutions
Monitor and improve model performance and accuracy
Familiarity with Agile development methodologies is a plus.
Strong problemsolving and analytical skills with attention to detail.
Creative and critical thinking.
Ability to work collaboratively in a team environment.
Good and effective communication skills.
Experience with version control systems such as Git for collaborative development.
Ability to thrive in a fastpaced environment with rapidly changing priorities.
Comfortable with autonomy and ability to work independently.
Additional Information :
Perks:
Day off on the 3rd Friday of every month (one long weekend each month)
Monthly Wellness Reimbursement Program to promote health wellbeing
Monthly Office Commutation Reimbursement Program
Paid paternity and maternity leaves
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
