Technical Lead - Ai/ml And Gen Ai Technologies
- Pennant Technologies
- 10 - 15 years
- Hyderabad
- 10 months ago
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Job Description
The Technical Lead will be responsible for the design, development, and implementation of AI/ML and Generative AI technologies within our platform. This role requires a deep understanding of AI/ML, practical experience in developing and deploying models, and strong technical leadership skills.
Key Responsibilities:
Technical Leadership:
- Lead the development and implementation of AI/ML models and GenAI technologies.
- Mentor and guide junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Collaborate with cross-functional teams to integrate AI/ML and GenAI capabilities into our platforms.
Model Development:
- Design, develop, and deploy machine learning models to solve complex business problems.
- Ensure the scalability, reliability, and performance of AI/ML solutions.
- Conduct thorough testing and validation of models to ensure accuracy and robustness.
- Develop and maintain data pipelines for model training, validation, and deployment.
- Implement and optimize machine learning algorithms for various business applications.
Technical Expertise:
- Stay updated with the latest advancements in AI/ML and GenAI technologies.
- Evaluate new tools and frameworks to enhance the development process.
- Implement best practices for model development, deployment, and monitoring.
- Develop and deploy natural language processing (NLP) models for text analysis and understanding.
- Implement computer vision models for image and video analysis.
- Use reinforcement learning techniques for optimization problems.
Project Execution:
- Manage and execute multiple AI/ML projects, ensuring they are delivered on time and meet the required specifications.
- Develop and maintain project documentation, including design specifications, progress reports, and technical documentation.
- Collaborate with data engineers to ensure data quality and availability for model training and evaluation.
Collaboration and Communication:
- Work closely with product management, engineering, and business development teams to understand requirements and provide AI/ML solutions.
- Communicate complex technical concepts to non-technical stakeholders effectively.
Qualification Experience:
- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field.
- 10+ years of total experience with 5 to 7 years of experience in AI/ML and GenAI technologies.
Required Skills:
- Strong expertise in machine learning algorithms, data analysis, natural language processing, and generative AI technologies.
- Hands-on experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, Keras, and others.
- Proficient in programming languages such as Python, R, and SQL.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with MLOps practices and tools for model deployment, monitoring, and maintenance.
- Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) for AI/ML workloads.
- Understanding of ethical AI principles and data privacy regulations.
- Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI).
- Proficient in using version control systems like Git for collaborative development.
- Knowledge of deep learning techniques and frameworks for neural networks.
Preferred Skills:
- Experience with Low-Code/No-Code platforms.
- Knowledge of banking regulations and compliance requirements.
- Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI)
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical LeadEmployement Type: Full timeContact Details:
Company: Pennant TechnologiesLocation(s): Hyderabad+ View Contact
Keyskills: Product management Cloud computing Data analysis Machine learning Agile Monitoring SQL Python Technical documentation
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