Description
Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast-paced entrepreneurial engineering environment and take ownership for critical technical and business decisions that directly impact EPAM and our clients? As one of the world’s leading digital transformation service providers, we are expanding our Data teams in the Middle East to meet increasing client demand for our services. We are open to hiring people at the Senior Manager or Director level within the Data Science Consulting & Data Analytics Practice with a specific focus on Artificial Intelligence (AI) and Machine Learning (ML).
The roles offer exciting opportunities to work with leading-edge data technologies, deliver AI/ML driven solutions, play a highly visible role across the business, while partnering closely with clients across various industries and our Data teams globally. We offer a hybrid work environment - working in an EPAM office, on client site, and from home depending on the projects you will be aligned to.
Responsibilities
- Provide technical leadership and strategic direction expertise in AI/ML, driving the design, development, and implementation of AI/ML solutions for clients
- Collaborate with cross-functional teams to define project scope, develop data models, and apply appropriate ML algorithms to deliver high-quality solutions
- Lead the identification of new AI/ML opportunities, either through selling solutions or securing funding, by leveraging your technical expertise and engaging senior decision-makers
- Shape data solutions and properly scope, price engagements, establishing optimal operating models and project team organization and leading the transition from the sales process to the delivery phase
- Focus on practical AI application frameworks, including Data, MLOps, and LLMOps as well as actively participate in the development of Generative AI, Responsible AI, ESG, AI Security, offerings ensuring their alignment with business objectives and technical requirements
- Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution
- Engage client executives up to C-level, helping them drive enterprise-wide agenda to maximize growth
- Provide guidance and mentorship to junior team members, fostering their professional growth and development in AI/ML
- Stay updated with the latest advancements in AI/ML and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate
- Support pre-sales activities by assessing Data opportunities, responding to RFP’s, creating proposals, and presentations
Requirements
- Bachelor's or Master's or PhD in Computer Science, Data Science, or a related field or extensive relevant work experience
- Fluent English speaker with Arabic being a strong advantage
- Strong experience in a senior or leadership role within Data Science & Data Analytics Technology Consulting
- Proven track record in designing and implementing AI/ML, Generative AI, MLOps solutions
- Technical proficiency in programming languages such as Python, R, or Java, and ML libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn
- Solid understanding of ML algorithms, data pre-processing, feature selection, and model evaluation techniques
- Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell AI/ML projects
- Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong lasting relationships
- Confident in expressing points-of-view, making recommendations, and presenting analysis and recommendations up to board level where appropriate
- Ideally experience in pre-sales or supporting sales teams
Our Benefits Include
- Competitive compensation depending on experience and skills
- General Organization for Social Insurance (GOSI)
- Regular performance feedback and salary reviews
- Private healthcare and life insurance
- End of service gratuity
- Annual air travel tickets for expatriates
- Global travel medical and accident insurance
- Referral bonuses
- Flexible schedule and work from home opportunities (depending on the project)
- Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions, and much more.
