Arrise Solutions (India) Pvt. Ltd.
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Anywhere · Remote · 4-7 Yrs · Sep 24
Business consulting · 1 to 50 Employees · Burtonsville, US
Hiring: Engineering
What employees say
+ everyone is very helpful out there
− no cons, nice place enjoying at the moment
More reviews on the company profile.
Interview experience · Lead Engineer
DSA Round - medium level leet code LLD Round - design with java code and db schema like train booking HLD Round - High level architecture like notification system HM Round
Average difficulty · Noida · 5 reports
More interview insightsJob description
Overview
We are looking for a Data Scientist (LLM) to design, develop and implement advanced algorithms using image, text, audio and tabular data. In this role, you will build large-scale AI/ML systems end-to-end in a fast-paced environment and integrate them into existing data pipelines and systems. You will work closely with cross-functional data and engineering teams to solve complex problem statements and serve as a subject matter expert on data science topics. The ideal candidate has strong expertise in statistical analysis, Machine Learning, Deep Learning and Natural Language Processing (NLP), a
Responsibilities
- Design, develop and implement advanced algorithms using image, text, audio and tabular data.
- Design large-scale AI/ML systems end-to-end in a fast-paced environment.
- Integrate AI/ML systems into existing data pipelines and systems.
- Apply extensive knowledge of key metrics and terminology used in statistical analysis and machine learning.
- Collaborate with cross-functional data and engineering teams to develop solutions to complex problem statements.
- Act as a subject matter expert on data science topics, providing guidance and support to internal teams.
- Identify areas of improvement in existing solutions.
Qualifications
- Strong experience in statistical analysis, Machine Learning and Deep Learning techniques, particularly in computer vision and Natural Language Processing (NLP).
- Proven track record of deploying scalable machine learning models in real-world applications.
- Strong proficiency in Python, with extensive experience in TensorFlow and PyTorch.
- Familiarity with key deep learning metrics and optimization techniques.
- Strong knowledge of version control systems, particularly Git.
- Bachelor’s or Master’s degree in Computer Science, Engineering or a related field.
- 4–10 years of relevant experience, including handling very large transactional datasets across different business functions.
- Strong problem-solving skills and the ability to translate business requirements into analytical solutions.
- Self-starter and self-motivated, with the ability to work independently and with other teams.
- Outstanding verbal and written communication skills.
- Passion for staying updated with the latest advancements in AI, deep learning, generative AI and related system design areas.
- Ability to lead research initiatives to explore new methodologies, tools and technologies.
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Job application FAQ
Last updated 9 October 2026
- How do I apply for Data Scientist - LLM at Arrise Solutions (India) Pvt. Ltd.?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Arrise Solutions (India) Pvt. Ltd. may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Scientist - LLM role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Scientist - LLM remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this Data Scientist - LLM role at Arrise Solutions (India) Pvt. Ltd.?
- This is a mid-level Data Scientist - LLM role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.