We are seeking a dynamic and skilled Machine Learning / AI Solutions Engineer to join our innovative team at EXL. In this role, you will be pivotal in implementing ML/AI solutions at the enterprise level on Azure and AWS cloud platforms. You will collaborate with cross-functional teams and communicate effectively with clients to develop solutions that address complex business challenges.
Key Responsibilities
- Implementation of Solutions. Lead the design and deployment of ML/AI solutions for enterprise applications, leveraging Azure and AWS cloud technologies.
- Client Engagement. Facilitate brainstorming sessions with clients to identify their needs and collaboratively devise effective solutions.
- Research and Development. Conduct thorough research on AI/ML implementations, focusing on improving existing processes and exploring new methodologies.
- RAG Architecture. Implement RAG (Red, Amber, Green) architecture for managing and utilizing confidential data effectively.
- Deep Learning and ML Techniques. Apply advanced deep learning techniques and practical machine learning experience in developing robust models.
- Generative AI Models. Develop and implement generative AI models using cutting-edge techniques and frameworks.
- Cross-Functional Collaboration. Work closely with various teams to gather project requirements and design solutions that align with business goals.
- Continuous Improvement. Research and experiment with new AI algorithms and tools to enhance model performance and capabilities.
- Knowledge Sharing. Stay informed about the latest advancements in AI research and technology, contributing to the team’s knowledge base through sharing insights and best practices.
- Quality Assurance. Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration.
Qualifications
- Education. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience. 3-5 years of experience in implementing ML/AI solutions at the enterprise level on Azure/AWS cloud platforms.
- Programming Skills. Strong proficiency in Python and experience in data science applications.
- Generative AI Techniques. Knowledge of generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architectures.
- Machine Learning Knowledge. Good understanding of machine learning concepts, algorithms, and methodologies.
- Data Handling. Experience with data preprocessing, model training, and evaluation using large-scale datasets.
- Problem-Solving Skills. Excellent analytical skills with the ability to work independently and as part of a team.
- Communication. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
- Industry Experience. Experience in healthcare and life sciences is a plus.
- Certifications. Relevant certifications in AI/ML or related fields are advantageous.
What We Offer
- Growth Opportunities. From day one, you will collaborate closely with world-class consultants and gain insights into various business aspects, fostering your personal and professional growth.
- Mentorship Program. Our mentoring program pairs every junior-level employee with a senior advisor, providing guidance and support for career development.
- Limitless Potential. The unique experiences you gather at EXL will set the stage for further growth within the company and beyond.
If you are passionate about advancing AI and ML technologies and want to make a significant impact in a collaborative and innovative environment, we encourage you to apply!