AI Engineering Manager Opportunity at SDG
💥Transform the Future with SDG: Global Leaders in Data & AI💥
SDG Group boasts a robust AI capability with over 200 multidisciplinary experts, including Industry & Business Domain experts, Business Scientist, AI architects & AI Engineers, AI R&D and AI Compliance & Governance Experts.
With proven experience across 70+ clients and 100+ use cases, we deliver AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools to fast-track AI implementation. Through SDG iLabs, we drive innovation by experimenting with emerging AI trends. We have strong alliances with major AI hyperscalers like Microsoft, Google, and AWS, and are recognized globally as a top leader in data and AI services. Our 2000+ consultants ensure businesses are AI-ready.
Join SDG and be part of something extraordinary! Experience what it truly means to be an expert in Artificial Intelligence. If you're seeking to join a team fully specialized in Data, Analytics, and AI, we can't wait to meet you.
What You'll Be Doing ✍
Lead and Inspire Teams: Manage and mentor a team of data science experts, conducting performance evaluations, supporting professional development, and fostering a collaborative, high-performance work culture.
Oversee AI Projects: Lead end-to-end AI and machine learning projects, from identifying business problems to designing and deploying fully productive solutions.
Drive Innovation: Participate in the full lifecycle of AI system development—analyzing problems, experimenting with models, and building scalable AI systems.
Industrialize AI Solutions: Lead the industrialization of machine learning systems using AIOps methodologies, ensuring smooth, efficient, and scalable deployment.
Collaborate Across Teams: Work closely with other departments to design cloud-based advanced analytics platforms and systems that support enterprise-scale data science initiatives.
What We’re Looking For 👇
Technical Expertise: A degree in Mathematics, Statistics, Computer Engineering, or a related technical field with a strong foundation in statistical techniques and data science.
Proven Experience: At least 8 years of experience as a Data Scientist, Machine Learning Engineer, or Architect, developing AI solutions across industries and leading teams through the entire data science lifecycle.
Business & Analytical Insight: Ability to understand business challenges and translate them into clear, actionable AI solutions, aligning both short- and long-term objectives.
AIOps & AI Mastery: Demonstrable experience with machine learning methodologies, both supervised and unsupervised—linear/logistic regression, time series, classification, segmentation, deep learning, NLP, and more.
Tech Proficiency: Hands-on experience with SQL, Python, and AIOps methodologies to create, deploy, and monitor machine learning systems.
Leadership Skills: Experience managing teams and projects, with strong communication and presentation skills to effectively guide and influence stakeholders.
Preferred Qualifications 👇
Advanced Degrees: A Master’s or PhD in Data Science, Artificial Intelligence, or a related field.
Consulting Experience: Previous experience in a data & analytics consulting environment.
AIOps Expertise: Deep understanding of the machine learning lifecycle in business contexts, particularly the implementation of AIOps.
Performance Measurement: Experience defining methods and KPIs to measure the performance and impact of predictive models.
Technical Versatility: Experience in areas beyond data science, such as data engineering, cloud architectures, and software development.
Why SDG? 🚀
At SDG Group, we are a global consulting firm exclusively focused on Data, Analytics, and Artificial Intelligence. We provide a unique career path for those looking to excel in both consulting and technical specialization.
As an AI Engineering Manager, you’ll lead a dynamic team of Data Scientists and Machine Learning Engineers to develop AI solutions that transform industries. Working with cutting-edge technologies, you’ll guide teams in creating predictive analytics, deep learning, and AI systems that drive business success.
SDG offers continuous learning and development opportunities, providing you with the tools and resources to grow in your career. We foster a culture of inclusivity, encouraging you to bring your authentic self to work every day, while making a significant impact on the future of AI.
If you value inclusivity and want to be part of a culture where you can truly be yourself, we want you on our team.
Be a part of the future of AI - join us today and help shape the next big breakthrough!
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