Global Offshore Consulting Services

We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will possess a strong background in Machine learning (ML), Deployments and Python programming. This role involves collaborating closely with data scientists, product managers, and data engineers to design, develop, and deploy high-performance AI/ML models. Responsibilities: - Collaborate with cross-functional teams to design and deliver high-performance AI models - Deploy OR and ML solutions into the cloud. - Train, tune, and optimize AI/OR models and algorithms for enhanced performance. - Implement complex real-time data and AI/ML applications to capture knowledge and automate decision-making processes. - Create ML/AI models for business teams and establish metrics to track their accuracy and performance. - Oversee the full lifecycle of algorithm development, from ideation to deployment and monitoring. - Evaluate and rank ML algorithms based on their potential success in solving specific problems. - Serve as an internal resource for AI/ML needs, providing guidance and insights to stakeholders during strategic discussions. Requirements: - Minimum of 5-7 years of experience in ML engineering with large-scale production systems. - Strong experience with Azure cloud computing and containerization technologies (like Docker, Kubernetes). - Experience with Python/OOPs programming languages and data science frameworks like (Pandas, Numpy, TensorFlow, Keras, PyTorch, sklearn). - Knowledge of DevOps tools such as Git, Jenkins, Sonar, Nexus is must. - Building python wheels and debugging build process. - Data pipeline building and debugging (by creating and following log traces). - Basic knowledge of DevOps practices. - Concepts of Unit Testing and Test-Driven development. - SDE skills like OOP and Functional programming are an added advantage. - Experience with Databricks and its ecosystem is an added advantage. Machine Learning: - Proficient in Machine Learning techniques both supervised and unsupervised - Expertise in using ML/AI libraries such as Pandas, NumPy, PyTorch, TensorFlow and traditional ML algorithms (3+ years) Deployments: - Implementation of CI/CD pipeline using GitHub Actions or Jenkins knowledge of external tools like SonarQube, Prisma scan. - Python Programming and Software Engineering - Expertise in Pythonic clean coding practices, including the use of decorators, generators, and descriptors (3+ years). - Strong understanding of software design principles such as DRY, OAOO, YAGNI, KIS, EAFP/LBYL, and defensive programming (2+ years). - Proficient in software design concepts focusing on cohesion and coupling (2+ years). - Knowledge of SOLID principles (2+ years). - Good understanding of OOPS concepts and LLDs Education and Experience: - Minimum Bachelor's degree or foreign equivalent in Computer Science, Electrical Engineering, or a closely related field. Share your CV to [HIDDEN TEXT]