AI / ML Engineer-Financial Services-Hyderabad/ Bangalore

AI / ML Engineer

Hybrid

Hyderabad or Bangalore

Contract ^ months or more

IFIN Global Group-Payroll

Responsibilities:

• Design and develop cutting-edge AI and ML solutions that address business challenges.
• Lead end-to-end AI development lifecycle, from problem definition, and data collection to model deployment and maintenance.
• Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions.
• Research and stay up-to-date with the latest AI and ML technologies and best practices.
• Mentor and guide junior AI developers on the team.
• Conduct code reviews and ensure code quality, scalability, and performance of AI applications.
• Collaborate with data scientists and engineers to preprocess and prepare data for AI models.
• Evaluate and select appropriate AI and ML algorithms for specific tasks.
• Develop and deploy AI models in a production environment and monitor their performance.
• Ensure data privacy and security measures are implemented in AI solutions.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven expertise in developing and deploying AI/ ML solutions, with a strong portfolio of projects.
• Strong programming skills in languages like Python, TensorFlow, PyTorch, or other AI/ML frameworks.
• Knowledge of software engineering principles like Agile SDLC methodologies and frameworks (Scrum, Kanban).
• Knowledge of natural language processing (NLP), computer vision, and deep learning.
• Proficiency in data preprocessing, feature engineering, and data visualization.
• Experience with cloud platforms and tools such as AWS, Azure, or Google Cloud for AI development with specific knowledge of EC2 ASG, and S3 RDS.
• Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment.
• Strong communication and collaboration skills.

Skill Set:

• Programming Languages: Python, Java, or similar.

• Machine Learning Frameworks: TensorFlow, PyTorch, sci-kit-learn.

• Data Manipulation: Pandas, NumPy.

• Data Visualization: Matplotlib, Seaborn.

• Cloud Platforms: AWS, Azure, Google Cloud.

• Version Control: Git.

• Database Systems: SQL, NoSQL.

• Development Tools: Jupyter Notebook, IDEs

  .