Please find JD for Lead AiMl Engineer:-
Job Title: Technical Lead – AI/ML
Experience Level: 5-7 Years
Mode: Work from Office (5 Days Working)
Job Type: Full-Time
Location: Agra/Noida
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.