Jr. AI/ML Developer
Jr. AI/ML Developer
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Job Description
Key Responsibilities:
- Assist in the design development and deployment of AI solutions utilizing machine learning natural language processing (NLP) and computer vision techniques.
Collaborate with cross-functional teams including data scientists and software engineers to seamlessly integrate AI solutions into existing products and services.
Support data collection processing and automation tasks to enhance and refine AI models.
Contribute to the testing debugging and optimization of AI solutions to ensure high-quality reliable outcomes.
Stay abreast of the latest trends in AI and machine learning continuously integrating new advancements to improve solutions.
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Requirements
Educational Background: A degree in Computer Science AI Machine Learning or a related technical field. Fresh graduates are encouraged to apply.
Programming Knowledge: Basic proficiency in Python with familiarity in AI/ML frameworks.
API Integration Skills: Knowledge of Fast API and an understanding of how to integrate APIs with other platforms (or a willingness to learn).
API & Automation: Familiarity with Fast API architecture database management (MySQL Chrome DB/Pinecone) and automation tools.
Machine Learning Proficiency: Experience with data preprocessing feature engineering and model evaluation techniques essential for AI/ML projects.
Problem-Solving: A creative mindset focused on solving technical challenges.
Team Player: Strong communication skills with the ability to collaborate effectively within a team.
AI & NLP Familiarity: Exposure to working with LLMs VLMs or related techniques (such as transformers and deep learning models).
Transformers Knowledge: Basic understanding of transformer models and how they are applied in LLMs and VLMs (e.g. BERT GPT CLIP).
Internship experience in AI machine learning NLP or computer vision.
Hands-on experience with AI projects (personal or academic) especially those involving LLMs VLMs or transformers.
Contribution to open-source AI projects or participation in AI competitions is a plus
Benefits
Benefits-
l Quarterly rewards based on road-map achievements and customers success.
l 20 Yearly leaves.
l 14 National Holidays Off.
l Cross-team work culture.
l Career Development & Training Programs.
l Employee Referral Benefits.
l Birthday/Anniversary/Festival Celebrations.
l Compensatory Off-Benefits.
l Paid half-day leaves on special occasions of Birthdays & anniversaries.
l Meals while working extra.
l Yearly day-outing activities.
l Yearly Achievement Awards.
Educational Background: A degree in Computer Science, AI, Machine Learning, or a related technical field. Fresh graduates are encouraged to apply. Programming Knowledge: Basic proficiency in Python, with familiarity in AI/ML frameworks. API Integration Skills: Knowledge of Fast API and an understanding of how to integrate APIs with other platforms (or a willingness to learn). API & Automation: Familiarity with Fast API architecture, database management (MySQL, Chrome DB/Pinecone), and automation tools. Machine Learning Proficiency: Experience with data preprocessing, feature engineering, and model evaluation techniques essential for AI/ML projects. Problem-Solving: A creative mindset focused on solving technical challenges. Team Player: Strong communication skills with the ability to collaborate effectively within a team. AI & NLP Familiarity: Exposure to working with LLMs, VLMs, or related techniques (such as transformers and deep learning models). Transformers Knowledge: Basic understanding of transformer models and how they are applied in LLMs and VLMs (e.g., BERT, GPT, CLIP).
Education
Internship experience in AI, machine learning, NLP, or computer vision. Hands-on experience with AI projects (personal or academic), especially those involving LLMs, VLMs, or transformers. Contribution to open-source AI projects or participation in AI competitions is a plus.
Employment Type
Full Time
