Lead AI Engineer

Job Description

Title: Lead AI Engineer

Company Name: Chromatics AI

Vacancy: --

Age: Na

Job Location: Dhaka

Salary: Negotiable

Experience:

• At least 5 years
• The applicants should have experience in the following business area(s): Artificial Intelligence (AI) Startup

• At least 5 years
• The applicants should have experience in the following business area(s): Artificial Intelligence (AI) Startup

🚀 Lead AI Engineer

📍 Location: Remote

🕒 Type: Full-Time

🚀 Join Date: Immediate

🎓 Experience: 5+ years

💰 Salary: Competitive

🎯 What You’ll Do

🔹 Lead AI research and development, designing and implementing state-of-the-art machine learning and deep learning models.

🔹 Apply advanced mathematical concepts (linear algebra, probability, discrete mathematics, statistics, and optimization) to AI model development.

🔹 Develop cutting-edge AI algorithms for NLP, computer vision, generative AI, and bias detection.

🔹 Optimize deep learning architectures (transformers, CNNs, RNNs, diffusion models) for accuracy and efficiency.

🔹 Design scalable AI solutions with MLOps best practices, ensuring production-ready deployment.

🔹 Work with large-scale datasets, handling preprocessing, feature engineering, and augmentation.

🔹 Publish research papers and contribute to AI literature, staying at the forefront of innovation.

🔹 Develop APIs and integrate AI models into real-world applications (FastAPI, Flask, Django).

🔹 Mentor AI engineers, fostering a research-driven AI development culture.

🔹 Utilize cloud computing (AWS, Azure, GCP) for scalable AI deployments.

📌 What We’re Looking For

✅ 5+ years of experience in AI/ML development with leadership responsibilities.

✅ Strong mathematical background, including:

📊 Linear algebra (matrix operations, eigenvalues, vector spaces)

🎲 Probability and statistics (Bayesian inference, hypothesis testing)

📐 Discrete mathematics (graph theory, combinatorics)

🔄 Optimization techniques (gradient descent, convex optimization)

✅ Expertise in Python, TensorFlow, PyTorch, and Scikit-learn.

✅ Deep knowledge of ML algorithms (transformers, GANs, reinforcement learning, LLM fine-tuning).

✅ Experience with research publications, case studies, or conference papers (NeurIPS, ICML, CVPR, ACL, etc.).

✅ Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG).

✅ Strong software engineering skills, including API development, CI/CD, and scalable AI infrastructure.

✅ Experience with Docker, Kubernetes, and cloud-based AI deployments.

✨ Why Join Us?

🔥 Lead groundbreaking AI research and development.

🔥 Work on large-scale AI projects with real-world impact.

🔥 Competitive salary and opportunities for career growth.

🔥 Fully remote work with flexibility.

🔥 Collaborate with a world-class AI research team.

• Performance bonus,Weekly 2 holidays,Over time allowance
• Salary Review: Half Yearly