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