Machine Learning Engineer

Senior Software Engineer (AI Applications)

Experience:

Salary :

Preferred Notice Period

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills :

Python OR LangChain, AWS

Alphasense (One of Uplers' Clients) is Looking for:

Senior Software Engineer (AI Applications) to join our Content Engineering team. This team specializes in large-scale content processing using cutting-edge technologies. In this role, you'll leverage AI applications (NLP, LLM, ML) for document understanding, including, but not limited to, document classification, text categorization, data extraction, and semantic similarity.

Requirements:

Must have

• 5+ years of experience as a software engineer, primarily with Python
• Ideally, you possess an advanced degree (Bachelor's / Master's) in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, but equivalent industry experience may be considered
• 2+ years of NLP problem-solving experience. Proficiency in Applied LLM, developing and deploying NLP/LLM solutions using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI.
• Familiarity with experimenting with Open Source and Commercial LLMs like Llama, Claude, etc., and a deep understanding of Prompt Engineering.
• Excellent communication, organizational, problem-solving, debugging, and analytical skills.

Great to have

• Experience in async processing of data at scale.
• Expertise on core engineering skills - Cloud, microservice architecture, caching, and queuing.
• Familiarity with concepts/tools as Docker, k8s, VCS, CI/CD
• Previous experience in data extraction from specific domains (e.g., financial reports, news).

Responsibilities:

• Deploy LLM based production grade solutions.
• Fine-tune and adapt SOTA LLMs for specialized data extraction tasks. Develop innovative prompting strategies and architectures to maximize performance on confidential business documents.
• Solve Engineering challenges that come along with LLM solutions, such as high latency, non-deterministic output, etc.
• Implement and scale data processing pipelines that can process high volumes of complex documents with high accuracy and efficiency.
• Work closely with cross-functional teams to translate product requirements into machine learning architectures
• Own systems end-to-end, including(but not limited to) design, code, monitoring, observability for Engineering Projects, and training, testing, deployment, and iteration for model training projects

How to apply for this opportunity:

Easy 3-Step Process:

1. Click On Apply! And Register or log in on our portal

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers:

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(Note: There are many more opportunities apart from this on the portal.)

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!