Software Engineer (ML Team)

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.

Position Overview: As a Software Engineer for the ML Team, you will be responsible for overseeing the development, implementation, automation of complex software solutions using Python, AI/ML. You will collaborate with the team of developers, providing technical guidance, and mentorship, and ensuring the delivery of high-quality code. You will also be responsible for automations, API integrations, code reviews, debugging, and optimizing performance to ensure the scalability and reliability of our applications.

Why it’s a big deal…

The ideal candidate will have a strong background in Python development with extensive experience in building and deploying web applications, APIs, data processing pipelines and deployment containers management. You should have a deep understanding of software development best practices, including version control, testing, and continuous integration. It would be nice if you are familiar with various Python frameworks and libraries, such as Flask, FastAPI, Pandas, Elastic, etc. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are essential for this role. If you are passionate about showcasing engineering skills to make efficient AI products/services and have a proven track record of leading successful projects, we would love to hear from you. You should be hands-on in development and maintenance of AI/ML services.

Competencies: Python, SQL, data structures, data engineering, data querying and manipulation, algorithms, coding, problem solving, MLOps, monitoring, communication.

Roles and Responsibilities :

Big picture: Innovate, build, and invent on the behalf of our customers. Plan, execute and maintain entire products/features which millions of customers will experience.

Collaborate with cross-functional teams to integrate/upgrade AI applications into company’s products and services. Contribute in achieving high engineering standards across different services.

Optimize the performance, scalability and efficiency of existing and new AI applications and services

Build, deploy and own scalable production NLP pipelines from data processing to model deployments.

Build post-deployment monitoring and continual learning capabilities.

Propose suitable evaluation metrics and establish benchmarks.

Suggest impactful improvements and own the post-deployment MLOps service activities completely

Setup internal pipelines to automate workflows to increase efficiency and productivity of internal teams.

Contribute in prompt engineering efforts within the team.

Active participation in bugs identification, resolution, RCA, testing, etc

We'll love to explore more about you if you have :

Qualification: B.E/B.Tech/M.E/M.Tech from tier 1/2 Engineering institutes with relevant work experience with a top technology company with 2-3 years of experience in Software Engineering.

Proficient in Python and SQL.

Strong Experience with API integrations and automating workflows.

Knowledge of basic Data Structures and Algorithms, and proficient in coding.

Knowledge and experience with data engineering, data mining, feature extraction pipelines, etc.

Knowledge and experience with dashboards, monitoring and logging tools like datadog, grafana, ELK stack, etc.

Basic understanding of NLP problems such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc.

Basic experience with common machine learning libraries like numpy, pandas, nltk, etc

Experience with prompt engineering and automating/streamlining related processes.

Experience in following clean, elegant, modular, bug-free coding practices in languages like Python.

Experience with ML model deployments using REST API, Docker, Jenkins, Helm, Kubernetes, etc.

Experience with monitoring, logging and debugging tools using ELK stack, grafana, datadog, prometheus, etc.

Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable.

Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is desirable.

Compensation : We offer market-leading compensation, based on the skills and aptitude of the candidate.

To learn more visit : https://thelevel.ai/

Funding : https://www.crunchbase.com/organization/level-ai

LinkedIn : https://www.linkedin.com/company/level-ai/

Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s

Apply for this job

Software Engineer (ML Team)

Other AI Jobs like this

Software Engineer, Machine Learning (India)

Software Engineer, Machine Learning

Software Engineer, Machine Learning (Infrastructure)

Engineering

Data

Other Roles

Locations