We are looking for a highly skilled AI/ML & Data Engineer with strong technical expertise, excellent communication skills, and the ability to engage with clients and drive opportunities toward closure. The ideal candidate will combine hands-on engineering capabilities with strong business acumen - someone who can understand complex client requirements, architect the right solution, present it confidently, and help convert opportunities into successful projects.
Requirements
- 1. Design, develop, and deploy scalable AI/ML and Data Engineering solutions.
- 2. Work hands-on with Python, SQL, machine learning, data pipelines, APIs, databases, and cloud platforms.
- 3. Develop solutions using Generative AI, LLMs, RAG, NLP, predictive analytics, and AI/ML frameworks.
- 4. Design and implement data warehouses, data lakes, ETL/ELT pipelines, and data processing solutions.
- 5. Evaluate technical requirements and recommend the most appropriate architecture, tools, and technologies.
- 6. Engage directly with clients to understand their business and technical challenges.
- 7. Lead technical discovery calls, presentations, solution discussions, demos, and POCs.
- 8. Prepare technical proposals, solution architectures, project scopes, estimates, and SOWs.
- 9. Work closely with Sales and leadership to identify, develop, and close new project opportunities.
- 10. Address technical objections and communicate complex solutions in a clear, business-focused manner.
- 11. Build strong client relationships and identify opportunities for upselling and long-term engagements.
- 12. Collaborate with engineering and delivery teams to ensure successful project handover and execution.
Qualification
- 1. Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field.
- 2. 3–5 years of relevant professional experience in AI/ML, Data Engineering, Data Science, or a related domain.
- 3. Strong hands-on technical expertise with Python, SQL, Machine Learning, Data Engineering, and Cloud technologies.
- 4. Proven experience working on AI/ML and data-driven projects, preferably in a client-facing environment.
- 5. Strong communication, presentation, problem-solving, and negotiation skills.
- 6. Ability to understand client requirements, propose technical solutions, and contribute to winning and closing projects.
Required Skills
- 1. Strong hands-on technical and problem-solving capabilities.
- 2. Excellent verbal and written communication skills.
- 3. Strong client-facing, presentation, negotiation, and stakeholder-management skills.
- 4. Ability to translate technical solutions into clear business value.
- 5. Proven ability to take ownership of opportunities and drive them from discovery to closure.
- 6. Commercially driven, proactive, and comfortable working with both technical and business stakeholders.