Job Overview:
We are looking for a motivated and experienced Tech Lead – AI/ML to join our team and drive the development of cutting-edge AI/ML solutions. This role combines hands-on technical expertise with leadership responsibilities, guiding a team to build scalable, efficient, and impactful AI/ML models. The ideal candidate should have a strong foundation in machine learning, data science, Generative AI, RAG approaches, and has deep understanding how data projects work coupled with experience leading teams or projects.
Key Responsibilities
Technical Leadership:
- – Provide technical guidance and mentorship to a team of AI/ML engineers.
- – Lead project planning, design reviews, and architecture discussions.
AI/ML Model Development:
- – Design, develop, and optimize machine learning and deep learning models to meet business objectives.
- – Perform feature engineering, hyperparameter tuning, and validation of models.
Generative AI and Advanced Solutions:
- – Implement and enhance Generative AI models such as LLMs or GANs.
- – Identify opportunities for using Generative AI to innovate and improve solutions.
MLOps and Deployment:
- – Deploy AI/ML models into production with robust CI/CD pipelines.
- – Monitor and maintain deployed models, ensuring performance and scalability.
Collaboration:
- – Work closely with product managers, data engineers, and other stakeholders to define requirements and deliverables.
- – Act as the technical liaison for internal and external partners.
Innovation and R&D:
- – Stay up to date with advancements in AI/ML technologies and incorporate best practices into projects.
- – Explore new tools, libraries, and frameworks to enhance team capabilities.
Required Skills and Qualifications
Technical Expertise:
- – Strong knowledge of machine learning frameworks like TensorFlow or PyTorch.
- – Proficiency in Python and ML libraries (e.g., Scikit-learn, Pandas, NumPy).
- – Experience with NLP (e.g., BERT, GPT) or computer vision models (e.g., YOLO, OpenCV).
Generative AI Knowledge:
- – Hands-on experience with Generative AI technologies and real-world applications.
Data Engineering and Analysis:
- – Proficiency in SQL and working knowledge of big data tools like Apache Spark.
- – Experience building data pipelines and ensuring data quality.
Deployment and Cloud Platforms:
- – Familiarity with Docker, Kubernetes, and MLOps tools like MLflow.
- – Experience with cloud platforms such as AWS, Azure, or GCP.
Soft Skills:
- – Strong communication and collaboration skills.
- – Proven ability to mentor junior engineers and lead technical teams.
Preferred Skills:
- – Exposure to reinforcement learning or federated learning.
- – Experience optimizing models for edge devices or IoT.
- – Knowledge of monitoring production models for drift and retraining.