AI/ML Operations Lead

1 month ago

Bengaluru, India GSI Electronics Inc Full time

Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution Join us to make your contribution.

AGCO is looking to hire candidates for the position of AI/ML Operations Lead. AI/ML Operations Lead to oversee the monitoring and maintenance of AI use cases in production.

The ideal AI/ML Ops Lead will have a strong background in artificial intelligence, machine learning, and deep learning, with a specific focus on supporting AI opportunities in the organization. This role will work closely with data scientists, data engineers, AI/ML engineers, and other cross-functional teams to ensure AI systems are seamlessly integrated across the organization’s operations, ensuring that productionalized AI solutions are scalable, accurate, secure, and compliant with established standards and governance. The ideal candidate will also be responsible for enhancing existing AI Solutions in cloud-based environments and with integration into various platforms, including websites and Tableau dashboards.

Your Impact

Monitor and maintain AI/ML models in production to ensure optimal performance and reliability, addressing any technical challenges that arise. Collaborate with development teams to understand the AI use cases and their integration into production environments. Design and implement scalable architectures ensuring that productionalized AI use cases are at optimal performance, scalable, accurate, and secure, adhering to ethical AI/ML practices, compliance and governance standards. Conduct regular assessments of AI models to identify areas for improvement. Enhance and fine-tune models to generate high-quality outputs for various applications. Guide team members for implementation of robust data pipelines and workflows to support data science and AI initiatives. Collaborate with ML engineers to establish & maintain CI/CD pipelines for model deployment, monitoring, and lifecycle management to ensure models remain reliable and efficient in production. Develop and maintain documentation related to AI operations, including monitoring processes, performance metrics, and governance compliance. Work with cross-functional teams to integrate AI models into websites, Tableau dashboards, and other applications as necessary. Provide support and troubleshoot issues in production environments, identifies solutions and implements resolutions swiftly. Partner with AI & Advanced Analytics development team in maintaining AI tools in production and monitoring for accuracy and support. Performs exploratory data analysis to identify trends, patterns, and anomalies, etc. Stay up to date with industry trends and emerging technologies in AI and machine learning and recommend innovative solutions to improve our operational capabilities. Facilitate communication and collaboration between the AI & BI Ops team and other business units to align AI initiatives with organizational goals. Provide technical guidance and mentorship to team members on AI best practices, tools, and methodologies.

Your Experience and Qualifications

Min 8+ years of experience in data, with at least 5+ years of experience in AI, machine learning, or data science, with a focus on operationalizing AI solutions in a cloud environment.  Strong proficiency in programming languages such as Python, R, and SQL and big data tools such as Hive, Spark, Hadoop, etc.  Experience with cloud platforms (e.g., AWS, Google Cloud, Databricks) and deploying AI models in production environments, including services like AWS (SageMaker, Redshift, Lambda), Google Cloud Platform (BigQuery, Vertex AI) and AI/ML automation tools.  Experience working with deep learning algorithms and large datasets including knowledge of generative AI models and various ML algorithms like RAGs, LLMs, NLPs, RNNs, CNNs, ARIMA, Neural Networks, etc.  Experience in data mining and predictive modeling inclusive of linear and non-linear regression, logistic regression, and time series analysis models.  Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, TensorFlow, PyTorch, Scikit-learn, VertexAI, SageMaker) for model tracking, versioning, and deployment.  Experience with ETL processes including knowledge about web scraping, real-time data streaming, etc. and familiarity with BI tools, particularly Tableau.  Skilled in Docker, Kubernetes, and other container management tools to ensure scalability and efficiency in model deployment and orchestration. Familiar with data governance frameworks and security protocols, including encryption, authentication, and compliance requirements (GDPR, CPRA, etc.), especially as they relate to cloud-based AI solutions.  Experience in industries such as manufacturing, agriculture, or supply chain, particularly in AI and data use cases is a plus. 

Your Benefits

GLOBAL DIVERSITY – Diversity means many things to us, different brands, cultures, nationalities, genders, generations – even variety in our roles. You make us unique ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential. POSITIVE IMPACT – Make it personal and help us feed the world. INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence – and work alongside teams of people worldwide who share your enthusiasm. MAKE THE MOST OF YOU – Benefits include health care and wellness plans and flexible and virtual work option……….

Your Workplace

AGCO is Great Place to Work Certified and has been recognized for delivering exceptional employee experience and a positive workplace culture. We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruiting, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.

Join us as we bring agriculture into the future and apply now

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