Senior / Lead - AIML Engineer

9 hours ago


Hyderabad, Telangana, India Pennant Technologies Full time ₹ 12,00,000 - ₹ 20,00,000 per year

Dear Candidate,

We are hiring for Lead / Senior - Artificial Intelligence & Machine Learning Engineers

Company Name: Pennant Technologies Pvt Ltd

Company Domain: Banking / Lending

Company Type: Product based IT / Fintech

Role: Senior / Lead- AIML Engineer

Work Location: Hyderabad

Work Mode: Work from office

Shift Mode: Monday to Friday Day Shifts only

Please find the below job description and interested candidates can share your resume to

Job Summary:

The AIML Engineer 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:

  • Development and implementation of AI/ML models and GenAI technologies.
  • 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.
  • 5+ 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).

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