AI ML Engineer (Mid-Senior)

About the job AI ML Engineer (Mid-Senior)

Position Title: AI ML Engineer (Mid-Senior)

Timings: 2:00 pm - 11:00 pm (Onsite)

Department: AI ML

About Us

IKONIC is a US-based IT company headquartered in Miami, Florida, serving clients globally for over 9 years. We are known for building scalable digital solutions and high-performing product teams. Innovation, ownership, and outcomes are core to how we work.

Position Purpose

We are seeking a highly skilled and motivated Mid-Senior AI/ML Engineer with over 3 years of experience to join our dynamic team. The ideal candidate will have a deep understanding of machine learning algorithms, a strong background in Python programming, and a passion for developing cutting‑edge AI solutions. In this role, you will lead the design, development, and deployment of machine learning models and contribute to our overall AI strategy.

Education & Professional Qualification

• Bachelor or equivalent degree from a reputed educational institute, preferably in computer programming, computer science, or a related field.
• Certification(s): Not mandatory, but certification in a relevant field is a plus.

Experience

Minimum 3 years of experience in AI/ML engineering with a proven portfolio of relevant projects.

Responsibilities

• Build and fine‑tune generative AI models (LLMs, diffusion models, transformers, etc.) for text, image, or multimodal tasks.
• Explore and implement agentic AI frameworks (autonomous/AI agents, tool‑using models, reasoning systems).
• Build AI chatbots and virtual assistants with advanced memory, reasoning, and multi‑turn conversation abilities.
• Collaborate with data scientists, engineers, and product teams to integrate AI/ML solutions into production systems.
• Utilize Python and its machine learning libraries (e.g., TensorFlow, PyTorch, scikit‑learn) to design, develop, and deploy machine learning models tailored to specific business needs.
• Utilize no‑code and low‑code platforms such as Make, Zapier, and n8n to rapidly design, prototype, and deploy automation workflows and client‑ready solutions.
• Continuously improve and optimize machine learning algorithms to enhance the accuracy and performance of predictive models.
• Experience with image processing, feature extraction, and neural network architectures (CNNs, R‑CNN, YOLO, Mask R‑CNN, ViT, etc.).
• Apply a strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques to analyze complex data sets.
• Fine‑tune and evaluate models for accuracy, latency, and reasoning depth.
• Work with cloud platforms (e.g., AWS, GCP, Azure) to deploy models and manage computational resources efficiently.
• Utilize containerization technologies such as Docker to create scalable and reproducible environments for model development and deployment.

Requirements

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• 3+ years of experience in AI/ML/LLM-based development.
• Hands‑on experience with generative AI frameworks (OpenAI, Stability AI, Hugging Face Transformers, Diffusion models).
• Hands‑on experience with agentic AI tools/frameworks (LangChain, AutoGPT, CrewAI, or similar).
• Design, develop, and optimize machine learning models and algorithms tailored to business needs, utilizing Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit‑learn).
• Deep understanding of multi‑layer neural network models and architectures such as CNN, RNN, LSTM, encoders, transformers, etc.
• Write clean, efficient, and maintainable code while adhering to best practices in software engineering.
• Work closely with cross‑functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into products and systems.
• Stay updated with the latest advancements in AI/ML technologies and techniques, and contribute to research and innovation within the team.
• Provide guidance and mentorship to junior engineers, fostering a collaborative and knowledge‑sharing environment.

Benefits

• EOBI
• Provident Fund
• Medical Health Insurance
• Casual leaves
• Paternity Leaves
• Maternity Leaves
• Recreational area for in‑house games

Note

Above goals and job descriptions are indicative and subject to change.