Senior Technical Lead
India
Job Description
Senior Technical Lead
Noida, Uttar Pradesh
Job Summary
To be responsible for managing technology in complex projects ,providing technical guidance and ensuring successful delivery of solutions.
Key Responsibilities
1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.
Skill Requirements
- Design, develop, and implement Machine Learning and AI solutions for business use cases.
- Build predictive, classification, recommendation, NLP, and Generative AI models.
- Develop and optimize data pipelines for model training and inference.
- Deploy and monitor ML models in production environments using MLOps best practices.
- Fine-tune and customize Large Language Models (LLMs) and foundation models.
- Integrate AI solutions with enterprise applications and cloud platforms.
- Conduct model evaluation, performance tuning, and accuracy improvements.
- Collaborate with business stakeholders, data engineers, architects, and product teams.
- Ensure AI solutions adhere to security, governance, and responsible AI standards.
Required Skills
- Strong programming experience in Python.
- Expertise in Machine Learning, Deep Learning, and Statistical Modeling.
- Hands-on experience with Scikit-learn, TensorFlow, PyTorch, Keras.
- Experience with LLMs, RAG, Vector Databases, Prompt Engineering, LangChain/LlamaIndex.
- Knowledge of Natural Language Processing (NLP) and Computer Vision.
- Experience with MLOps tools such as MLflow, Kubeflow, Azure ML, SageMaker, or Vertex AI.
- Strong SQL and data analysis skills.
- Experience with cloud platforms (Azure, AWS, or GCP).
- Familiarity with CI/CD pipelines, Docker, Kubernetes, and API development.
Other Requirements
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Information at a Glance