Devsinc, LLC
Senior AI/ML & Data Engineer - Islamabad
Senior engineer at Devsinc in Islamabad who designs and deploys AI/ML and data engineering solutions (Python, SQL, LLMs/RAG, ETL pipelines, cloud platforms) while also acting as a client-facing pre-sales resource — leading discovery calls, demos, and proposals to help close new projects.
- Compensation
- Not disclosed
- Location
- Islamabad, Pakistan
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's or Master's degree in Computer Science, AI, Data Science, Software Engineering, or related field
- 4–8 years of relevant professional experience in AI/ML, Data Engineering, Data Science, or related domain
- Strong proficiency in Python and SQL
- Hands-on experience with Machine Learning, Deep Learning, NLP, and Generative AI
- 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
Nice to have
- Experience with LLMs, RAG, embeddings, vector databases, and AI agents
Full description
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.
Responsibilities:
- 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.