Artificial Intelligence/Machine Learning Lead - Data Modeling (5-6 yrs)

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.