AI Developer Job in Beeja Ai Solutions Private Limited at West Mambalam, Chennai
Job Description
• Assist in the design, development, and testing of AI/ML models and solutions under senior supervision.
• Contribute to data collection, preprocessing, cleaning, and exploratory data analysis (EDA).
• Write clean, well-documented Python code for machine learning pipelines and APIs.
• Participate in sprint planning, stand-ups, and code reviews as part of the Agile team.
• Support integration of AI models into backend services using FastAPI / Flask.
• Learn and apply Beeja AI's internal coding standards, deployment practices, and security frameworks.
• Assist in building and fine-tuning NLP, LLM, and computer vision solutions for client projects.
• Document technical work, create test cases, and report progress to the project lead regularly.
• Proactively learn emerging AI tools, frameworks, and best practices relevant to ongoing projects.
More information about this AI Developer Job
Please go through the below FAQs to get all answers related to the given AI Developer job
- What are the job requirements to apply for this AI Developer job position?
- Ans: A candidate must have a minimum of 0 to 3 year experience as an AI Developer
- What is the qualification for this job?
- Ans: The candidate can be a Graduate from any of the following: BCA, BE/B.Tech, MCA
- What is the hiring Process of this job?
- Ans: The hiring process all depends on the company. Normally for an entry level, hiring the candidate has to go for Aptitude, GD (If they look for communication),Technical test and face to face interviews.
- This AI Developer is a work from home job?
- Ans: No ,its not a Work from Home Job.
- How many job vacancies are opening for the AI Developer position?
- Ans: There are immediate 1 job openings for AI Developer in our Organisation.
Job Particulars
About Company
• Independently design and deliver end-to-end AI/ML solutions aligned with client requirements.
• Build, optimize, and deploy machine learning and deep learning models into production environments.
• Develop and maintain RESTful AI APIs, pipelines, and microservices using FastAPI / Node.js.
• Lead module-level development, code reviews, and technical mentorship for juniors/trainees.
• Integrate third-party AI services (OpenAI, Anthropic Claude, Google Vertex AI, AWS SageMaker, etc.).
• Collaborate with frontend developers, UI/UX designers, and client stakeholders on AI product delivery.
• Perform model performance monitoring, retraining, and continuous improvement in production systems.
• Contribute to technical documentation, SOWs, proposals, and R&D initiatives as required.
• Adhere to data privacy regulations, security standards, and Beeja AI's delivery quality benchmarks.
Represent Beeja AI professionally during client interactions, demos, and review meetings.