aimlroles

Senior AI/ML & Data Engineer - Islamabad

Devsinc Open · verified Oct 22, 2026
On-site Islamabad Full-time Senior AI Engineering

At a glance

Senior AI Engineering role at Devsinc. Islamabad · full-time.

Pay not stated AI Engineering salary

RoleAI Engineering
SenioritySenior
LocationIslamabad
WorkplaceOn-site
EmploymentFull-time
PostedSep 9, 2026 · 6w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build and launch scalable AI, machine learning and data systems using Python, SQL, pipelines, APIs, databases and cloud platforms
  • Create solutions involving generative AI, language models, retrieval-augmented generation, NLP and predictive analytics
  • Shape data warehouses, lakes and ETL/ELT workflows, choosing architectures and technologies to match technical needs
  • Run client discovery, demos and solution reviews, then prepare proposals, scopes, estimates and statements of work
  • Work with sales, leadership and delivery teams to move opportunities toward agreement and support project handoffs

What you bring

  • A bachelor's or master's degree in computer science, AI, data science, software engineering or a related technical area
  • Four to eight years in AI/ML, data engineering, data science or a closely related field
  • Strong Python and SQL skills, with practical work across machine learning, deep learning, NLP and generative AI
  • Experience with cloud platforms and data pipelines, plus the ability to explain technical choices in business terms

Who this fits

This senior role suits someone who can combine hands-on AI and data engineering with client discovery, presentations and commercial discussions. You'll work on-site in Islamabad and partner with sales, leadership, engineering and delivery teams.

From the employer

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:

  • 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 & Outpatient Facilities
  • Paid Overtime
  • Engaging Company Activities
  • Sports Allowance