About the role
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
- Design, develop, and deploy scalable AI/ML and Data Engineering solutions. - Work hands-on with Python, SQL, machine learning, data pipelines, APIs, databases, and cloud platforms. - Develop solutions using Generative AI, LLMs, RAG, NLP, predictive analytics, and AI/ML frameworks. - Design and implement data warehouses, data lakes, ETL/ELT pipelines, and data processing solutions. - Evaluate technical requirements and recommend the most appropriate architecture, tools, and technologies. - Engage directly with clients to understand their business and technical challenges. - Lead technical discovery calls, presentations, solution discussions, demos, and POCs. - Prepare technical proposals, solution architectures, project scopes, estimates, and SOWs. - Work closely with Sales and leadership to identify, develop, and close new project opportunities. - Address technical objections and communicate complex solutions in a clear, business-focused manner. - Build strong client relationships and identify opportunities for upselling and long-term engagements. - Collaborate with engineering and delivery teams to ensure successful project handover and execution
Qualification & Requirements:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field. - 4–8 years of relevant professional experience in AI/ML, Data Engineering, Data Science, or a related domain. - Strong proficiency in Python and SQL. - Hands-on experience with Machine Learning, Deep Learning, NLP, and Generative AI. - Experience with LLMs, RAG, embeddings, vector databases, and AI agents is highly desirable. - Strong knowledge of ETL/ELT, data pipelines, data modeling, databases, and data warehousing. - Experience with AWS, Azure, or GCP. - Familiarity with ML/AI frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar. - Experience with APIs, microservices, Git, CI/CD, and production deployment. - Strong understanding of system architecture, scalability, performance, and data security. - Strong hands-on technical and problem-solving capabilities. - Excellent verbal and written communication skills. - Strong client-facing, presentation, negotiation, and stakeholder-management skills. - Ability to translate technical solutions into clear business value. - Proven ability to take ownership of opportunities and drive them from discovery to closure. - Commercially driven, proactive, and comfortable working with both technical and business stakeholders.
Benefits
Provident Fund, Medical Inpatient Facility, Medical Outpatient Facility, Paid Overtime, In-house Subsidized Lunch & Dinner, Gym Facility, Entertaining Activities, Interest Free Loan Facility, Advance Salaries and Sports Allowance.
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