Senior Software Engineer Specialists (AI/ML Engineer)

What you will be doing 

As a Senior Software Engineer Specialists (ML Engineer), you will be working on developing cutting-edge AI/ML solutions across the organization.

 What you bring: 

Knowledge / Experience

• Design, build, and optimize machine learning models for various applications, such as natural language processing, computer vision, predictive analytics, etc.
• Data preprocessing and feature engineering: Clean, preprocess, and transform raw data into usable features for model training.
• Good understanding of machine learning concepts around regression, classification, clustering, dimensionality reduction etc.
• Evaluate model performance using appropriate metrics and fine-tune hyperparameters to achieve optimal results.
• Understanding of GenAI and its applications.
• Ability to analyze and solve problems using learned techniques and tools.

Skills

• Proficiency in Python.
• Good-to-have: Experience in additional programming languages (Good to have Java or C# or both).
• Hands on with frameworks and libraries like scikit-learn, TensorFlow, PyTorch, Keras, pandas etc.
• Rest services using Flask or FastAPI
• SQLAlchemy, Pydantic data modelling
• Experience of working with at least one relational database.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and AI Studios.
• Experience with MLOps
• Solid software engineering skills (version control, testing, debugging).
• Hands-on experience in solving practical problems using GenAI.

Qualifications

Bachelor’s degree in engineering or related field or the equivalent combination of education, training, or work experience

Competencies

• Fluent in English
• Excellent communicator – ability to discuss technical and commercial solutions to internal and external parties and adapt depending on the technical or business focus of the discussion.
• Attention to detail – track record of authoring high quality documentation.
• Organized approach – manage and adapt priorities according to client and internal requirements.
• Self-starter but team mindset – work autonomously and as part of a global team

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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