AI/ML Research Engineer
- Uplers
- 4 - 7 years
- Mumbai
- 8 months ago
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Job Description
Experience Required: 4+ yrs exp
Location - Remote (For candidate's from Chennai or Mumbai it's hybrid)
Placement Type: Full time Permanent Position
(*Note: This is a requirement for one of Uplers' client - Forbes Advisor)
A typical day in the life of a Data Research Engineer will involve coming up with ideas regarding how the company/team can best harness the power of AI/LLM, and use it not only simplify operations within the team, but also to streamline the work of the research team in gathering/retrieving large sets of data. The role is that of a leader who sets a vision for the future of AI/LLMs use within the team and the company. They think outside the box and are proactive in engaging with new technologies and developing new ideas for the team to move forward in the AI/LLM field. The candidate should also at least be willing to acquire some basic skills in scraping and data pipelining.
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 third-party technologies as alternatives to legacy approaches for efficient data pipelines.
- Contribute to cross-functional teams in understanding data requirements.
- Assume accountability for achieving development milestones.
- Prioritize tasks to ensure timely delivery, in a fast-paced 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.
Skills and Experience:-
- Bachelor's 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 Retrieval-Augmented 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 fine-tuning 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 problem-solving 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 fast-paced environment with rapidly changing priorities.
- Comfortable with autonomy and ability to work independently.
Perks:
- Day off on the 3rd Friday of every month (one long weekend each month)
- Monthly Wellness Reimbursement Program to promote health well-being
- Monthly Office Commutation Reimbursement Program
- Paid paternity and maternity leaves
Forbes Advisor is a new initiative for consumers under the Forbes Marketplace umbrella that provides journalist- and expert-written insights, news and reviews on all things personal finance, health, business, and everyday life decisions. We do this by providing consumers with the knowledge and research they need to make informed decisions they can feel confident in, so they can get back to doing the things they care about most.
Job Classification
Industry: FinTech / PaymentsFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Mumbai
Keyskills: Pytorch Tensorflow Langchain Retrieval Augmented Generation
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