S2S Soft is a Global IT Solutions and Services company with unmatched expertise spread across various Industrial Internet like IT Staff, Document Management, Software Development, Mechanical Design and Independent Software Vendors. Our clients have relied on us for providing Technology initiatives and support for their business processes in the areas of Enterprise Application Management, Custom Application Management, Business Intelligence & EAI, Infrastructure Management & Security and Quality Assurance & Testing Services. S2S Soft understands the unique challenges faced by various industries. Through hands on experience earned from different client engagements, we enable our customers to address their challenges with tailor made solutions best suited to their present systems. With a firm eye on Return on Investments of our customer, we conceive, build and deploy solutions that are robust, scalable and yet flexible. We partner with our clients on their long-term initiatives by providing real value while demonstrating high level of professionalism and ethics metus. Please send your resume to for immediate consideration
Job Title: Software Engineer – ML Ops Location: Duration: Long Term Contract Job Description:
Build and maintain tools and infrastructure for data processing for AI/ML development initiatives.
Develop ETL pipelines, tools and processing jobs for data cleansing, labeling and analysis.
Experience deploying machine learning models into production environment.
Strong DevOps, Data Engineering and ML background with Cloud platforms
Experience in containerization and orchestration (such as Docker, Kubernetes)
Experience building/operating systems for data extraction, ingestion and processing of large data sets
Experience Machine learning frameworks/libraries (such as TensorFlow, PyTorch, Keras, scikit-learn)
Experience with MLOps tools such as MLFlow and Kubeflow
Experience in Python scripting
Hands on experience in SQL and should be able to write complex queries usingjoins
Experience with CI/CD
Owning ML model performance measurement and determining ways to detect when models are less accurate
If your skills match these requirements, please send your resume to for immediate consideration. Please be assured that your resume will be reviewed and you will be contacted if there is an interest in your background and experience. Candidates should e-mail resume to address above. Be sure to reference the job number and title in the subject line.
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