EXL – Executive Data Science – Gen AI Engineer

Job Description

EXL is hiring for the role of Executive Data Science – Gen AI Engineer for candidates passionate about artificial intelligence, machine learning, analytics, and next-generation technologies. This opportunity is designed for fresh graduates and professionals with up to three years of experience who want to build expertise in Generative AI, data science workflows, intelligent automation, and enterprise AI implementation. Candidates joining this role will work on innovative technology-driven projects aimed at solving business challenges through predictive insights, automation, and advanced analytics.

As a Gen AI Engineer, candidates will contribute to developing, analyzing, and supporting AI-driven solutions that improve operational efficiency and business decision-making. Employees may work with data pipelines, machine learning concepts, large language models, data interpretation, business analytics, automation frameworks, and intelligent systems to generate meaningful business outcomes. The role demands curiosity, strong analytical skills, technical problem-solving capabilities, and a willingness to explore emerging AI technologies that are reshaping modern enterprises.

The Executive Data Science – Gen AI Engineer role provides candidates with an opportunity to build future-ready technical expertise while working in an enterprise business environment. EXL encourages innovation, continuous learning, and experimentation with advanced technologies to prepare professionals for long-term careers in AI engineering, analytics, automation, machine learning, and business intelligence.

Roles & Responsibilities

• Support data science and AI projects by analyzing datasets, identifying trends, and contributing to business intelligence initiatives.
• Assist in building and maintaining Generative AI workflows, automation processes, and data-driven solutions.
• Work with teams to understand business requirements and translate them into technology-driven solutions.
• Contribute to machine learning, data modeling, and predictive analytics initiatives to improve operational outcomes.
• Participate in data cleansing, preparation, visualization, and reporting to ensure accurate insights generation.
• Support the development and optimization of AI-powered tools, automation systems, and intelligent business processes.
• Collaborate with technical and business teams to improve system efficiency and technology adoption.
• Maintain documentation related to AI workflows, model outputs, and technical processes.
• Stay updated on industry trends in Generative AI, machine learning, and data science technologies.
• Participate in training and knowledge-sharing sessions to strengthen technical expertise.

Requirements & Eligibility

• Candidates from the 2022–2026 batch with degrees in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related fields are eligible.
• Freshers and candidates with 0–3 years of experience in data science, analytics, or AI domains are encouraged to apply.
• Basic understanding of AI, machine learning, analytics, or data interpretation concepts is preferred.
• Familiarity with programming languages such as Python, SQL, or analytics tools will be advantageous.
• Strong problem-solving, logical reasoning, and analytical thinking abilities are required.
• Interest in Generative AI, automation, and emerging technologies is highly preferred.
• Good communication and collaboration skills are important for cross-functional work.
• Ability to interpret datasets and derive meaningful business insights is beneficial.
• Willingness to continuously learn new technologies and adapt to changing business needs is essential.
• Positive mindset and strong technical curiosity are highly valued.

Expected Salary

The expected salary for Executive Data Science – Gen AI Engineer roles at EXL typically ranges between ₹5 LPA to ₹9 LPA, depending on technical expertise, academic background, AI-related skills, certifications, and project experience. Candidates working in AI-focused roles may experience faster career growth due to increasing enterprise demand for data science and Generative AI expertise.

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