ai/ml science manager

As part of Data & AI practice, you will formulate real-world problems into practical, efficient, and scalable AI and Machine Learning products. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a global team of data scientists, data engineers, and experts in AI & ML, who are highly collaborative taking on today’s biggest, most complex business challenges across a range of industries.

Responsibilities:

• Lead a technical team of 5-8 people and provide guidance to explore and implement new data methodologies, model building techniques, cutting-edge algorithms, and operationalization frameworks to solve real-world problems
• Establish deep understanding and ability to remain at the forefront of AI and foundation models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios)
• Justify the value of innovative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, constructing methodologies that clearly demonstrate their value
• Work collaboratively with teams (onshore and/or offshore) from both the business and technical side, including business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals

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Qualifications

WHO WE’RE LOOKING FOR?

• BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University
• Minimum of 5+ years of proven working experience in AI & ML areas, leading a team of 5-8 people
• Solid theoretical and hands-on knowledge of deep learning, neural networks, foundation models, NLP and/or Computer vision
• Proficiency in AI & ML scripting (such as Python) and Machine Learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Strong program management and communication skills, both verbal and written
• Ability to communicate results effectively and explain technical methodologies in non-technical audience
• Experience with Cloud Technologies (MS Azure, GCP, AWS)
• Considered a plus (not a prerequisite):
• Understanding of ML lifecycle and hands-on experience with ML Ops
• Experience in SQL and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)
• Familiarity with visualization tools (Power BI, Tableau) Experience in
• Experience with containerization and orchestration tools
• Experience in sales and business development
• Ability to work as a team player in multinational project teams
• Fluency in English (verbal and written)
• All male candidates should have fulfilled their military obligations

WHAT’S IN IT FOR YOU?

• Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave and various corporate discounts
• Continuous training & development through global platforms & local academy. At Accenture, we believe in bringing the best to our clients through continuous learning & improvement – from basic skills to industry-specific content – available to all our people
• Career coaching and mentorship to help you manage your career and develop professionally
• Ongoing strength and skill-based evaluation process
• Various opportunities to develop your career across a spectrum of clients, industries and projects
• Diverse and inclusive culture
• Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work
• Under our Brain Regain initiative, extra relocation benefits may apply