Job Description & How to Apply Below
Role Overview
We are seeking an experienced Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning systems. This role requires deep technical expertise, leadership capability, and hands-on experience in building scalable AI solutions that drive business impact.
Key Responsibilities
Lead end-to-end development of AI/ML solutions from problem definition to production deployment
Architect scalable and efficient ML pipelines and data workflows
Design and implement advanced models (NLP, Computer Vision, Recommendation Systems, etc.)
Mentor junior engineers and guide best practices in ML development
Collaborate with product managers, data engineers, and stakeholders to translate business problems into AI solutions
Optimize model performance, scalability, and reliability in production
Drive adoption of MLOps practices (CI/CD for ML, monitoring, model governance)
Conduct research and apply cutting-edge techniques in AI/ML
Ensure model explain ability, fairness, and compliance standards
Required
Skills & Qualifications
Bachelor’s/Master’s/PhD in Computer Science, AI, Data Science, or related field
5–7 years of professional experience in AI/ML development
Experience with Large Language Models (LLMs) and Generative AI
Strong expertise in Python and ML frameworks:
Tensor Flow, PyTorch, Scikit-learn
Deep understanding of:
Machine Learning algorithms (supervised, unsupervised, reinforcement learning)
Deep Learning architectures (CNNs, RNNs, Transformers)
Hands-on experience in product ionizing ML models at scale
Strong experience with:
Data engineering (SQL, ETL pipelines)
Big data technologies (Apache Spark, Hadoop)
Experience with cloud platforms:
AWS / Azure / GCP
Proficiency in building APIs and microservices (FastAPI, Flask)
Experience with containerization and orchestration:
Docker, Kubernetes
Strong understanding of software engineering best practices (Git, CI/CD)
Preferred Qualifications
Familiarity with frameworks like Lang Chain, Hugging Face
Experience in real-time ML systems and streaming data (Kafka)
Prior experience in leading teams or technical projects
Publications or contributions in AI/ML research (optional but valued)
Leadership & Soft Skills
Strong leadership and mentoring capabilities
Excellent problem-solving and strategic thinking
Effective stakeholder communication and presentation skills
Ability to drive innovation and influence technical decisions
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