Ai ML Engineer /Senior AIML Engineer -MLOPS

As an experienced Machine Learning Engineer, you will be responsible for the following:

• Designing, developing, and implementing robust, scalable, and optimized machine learning and deep learning models, iterating with speed
• Writing and integrating automated tests to ensure reproducibility, scalability, and alignment with quality standards
• Implementing best practices in security, pipeline automation, and error handling using programming and data manipulation tools
• Identifying and implementing data-driven approaches to solve open-ended business problems, leveraging data engineering capabilities
• Researching and implementing new models, technologies, and methodologies into production systems
• Applying creative problem-solving techniques to design innovative tools, algorithms, and workflows
• Independently managing and optimizing data solutions, performing A/B testing, and evaluating system performance
• Contributing to the design and documentation of AI/ML solutions for future reference and collaboration
• Collaborating across teams to develop high-quality, scalable AI/ML solutions that align with business goals and improve performance

Foundational Skills:

• Mastery of programming skills in complex scenarios
• Understanding and application of AI & Machine Learning, Data Analysis, Machine Learning Pipelines, and Model Deployment and Tuning

Specialized Skills:

• Proficiency in Simulation and Optimization Techniques, Statistical Analysis, Data Engineering, Deep Learning, Big Data Technologies, Data Architecture, Data Processing Frameworks, and Technical Documentation

Qualifications & Requirements:

• BSc/MSc/PhD in computer science, data science, or related discipline with 5+ years of industry experience in building cloud-based ML solutions
• Strong problem-solving skills in technical and non-technical domains
• Broad understanding of ML and statistics, including regression, classification, forecasting, time-series modeling, and deep learning
• Hands-on experience building ML solutions in Python, with knowledge of common data science libraries
• Experience with simulation methods and Python libraries, as well as foundational experience with Reinforcement Learning and multi-agent systems
• Proficiency in end-to-end data product development based on AI/ML technologies
• Experience with collaborative development workflows, version control, code reviews, DevOps, and CI/CD
• Expertise in neural networks, optimization techniques, model evaluation, and familiarity with various architectures and tools
• Team player with a collaborative mindset

Preferred Experiences:

• Hands-on experience with OR solvers and dashboarding technologies
• Experience working in cross-functional product engineering teams following agile development methodologies
• Familiarity with Spark, MLOps solutions, cloud-based orchestration technologies, and containerization

(Note: Preferred Experiences section is omitted as per the instructions) As an experienced Machine Learning Engineer, you will be responsible for the following:

• Designing, developing, and implementing robust, scalable, and optimized machine learning and deep learning models, iterating with speed
• Writing and integrating automated tests to ensure reproducibility, scalability, and alignment with quality standards
• Implementing best practices in security, pipeline automation, and error handling using programming and data manipulation tools
• Identifying and implementing data-driven approaches to solve open-ended business problems, leveraging data engineering capabilities
• Researching and implementing new models, technologies, and methodologies into production systems
• Applying creative problem-solving techniques to design innovative tools, algorithms, and workflows
• Independently managing and optimizing data solutions, performing A/B testing, and evaluating system performance
• Contributing to the design and documentation of AI/ML solutions for future reference and collaboration
• Collaborating across teams to develop high-quality, scalable AI/ML solutions that align with business goals and improve performance

Foundational Skills:

• Mastery of programming skills in complex scenarios
• Understanding and application of AI & Machine Learning, Data Analysis, Machine Learning Pipelines, and Model Deployment and Tuning

Specialized Skills:

• Proficiency in Simulation and Optimization Techniques, Statistical Analysis, Data Engineering, Deep Learning, Big Data Technologies, Data Architecture, Data Processing Frameworks, and Technical Documentation

Qualifications & Requirements:

• BSc/MSc/PhD in computer science, data science, or related discipline with 5+ years of industry experience in building cloud-based ML solutions
• Strong problem-solving skills in technical and non-technical domains
• Broad understanding of ML and statistics, including regression, classification, forecasting, time-series modeling, and deep learning
• Hands-on experience building ML solutions in P