Highlights
Build intelligent agentic systems, collaborate on cutting-edge projects, and deploy advanced AI solutions.
Description
Job Summary
pJoin Arnsofttech as an AI/ML Engineer where you will design, develop, and deploy advanced AI-driven solutions. Collaborate with cross-functional teams to build intelligent agentic systems using state-of-the-art LLMs and deep learning techniques.
Responsibilities
- Write clean, efficient, and well-documented code for AI/ML applications
- Build and maintain data pipelines for AI systems
- Stay updated with the latest advancements in AI, Machine Learning, and Deep Learning
- Design and implement RAG (Retrieval-Augmented Generation) pipelines
- Fine-tune and deploy Small Language Models (SLMs)
Required Skills
- Data Structures & Algorithms
- Deep Learning Frameworks
- Cloud Platform Integration
- Backend Development
- AI Agent Development
Required Skills Explained
- Strong programming skills in Python, essential for developing AI/ML applications.
- Detailed understanding of data structures, algorithms, and object-oriented programming (OOPs).
- A deep knowledge of fundamental AI, machine learning, and deep learning concepts.
- Experience with state-of-the-art LLMs, multimodal systems, and deep learning techniques.
- Familiarity with Git/GitHub for version control and collaborative code management.
- Experience in building and maintaining data pipelines for AI systems.
- Awareness of the latest advancements in AI, machine learning, and deep learning.
Who is this for
pThis role is ideal for candidates with a strong background in AI, Machine Learning, and Deep Learning. Experience with LLMs and open-source models is essential.
Why This Job is a Good Opportunity
ulliOpportunity to work on cutting-edge projects at the forefront of applied AI.liPotential for career growth in a rapidly evolving field with high demand.liChance to collaborate with cross-functional teams and contribute to technical solutions.liDiverse range of tasks, including designing intelligent systems, optimizing pipelines, and developing APIs.liFlexibility in choosing from various open-source models for AI-powered applications.
Interview Preparation Tips
- Review fundamental concepts of AI, machine learning, and deep learning thoroughly.
- PRACTICE coding problems related to data structures, algorithms, and Python programming.
- Prepare examples of how you have used Git/GitHub in previous projects.
- Be ready to discuss recent advancements in AI technology and your insights on them.
- Talk about any relevant experience with building or deploying AI systems in production environments.
Career Growth in This Role
pThis role offers significant opportunities for career advancement, especially for individuals interested in the intersection of AI and software engineering. As an AI/ML Engineer at Arnsofttech, you can expect to take on more complex projects as your skills grow, which will help accelerate your professional development.pYou may also have the chance to lead teams or mentor junior engineers, further enhancing your leadership skills. The company’s focus on applied AI means that staying updated with new technologies and methodologies is crucial, providing a continuous learning path for you.pIn addition, Arnsofttech’s commitment to scalable backend and user-facing applications positions you well for future roles in more specialized areas of AI, such as natural language processing or computer vision.
Explore More Opportunities
Skills
Frequently Asked Questions
What are the key responsibilities?You will write clean, efficient code for AI applications, build data pipelines, and stay updated with the latest advancements in AI.
What skills are required for this role?Candidates should have strong programming skills, knowledge of deep learning frameworks, and experience with LLMs and open-source models.
What is the expected educational background?A Bachelor's or Master's degree in Computer Science, IT, or a related engineering discipline from a Tier 1 institution is required.
