Senior AI/ML & Data Engineer - Islamabad
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Before you apply
LocationLahore, Punjab, Pakistan
Work modeon-site
Typefull-time
SenioritySenior
Experience4–8 yrs
DepartmentMuneeb Sheikh - Ahmed Wasim
Company size501–1,000 people
PostedSep 9, 2026 · 2mo ago
Verified live17h ago
At a glanceSummarised by Seekless from the posting.
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
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
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field
Experience with LLMs, RAG, embeddings, vector databases, and AI agents is highly desirable
Skills
Python
SQL
Machine Learning
Deep Learning
NLP
Generative AI
LLMs
RAG
embeddings
vector databases
AI agents
ETL
ELT
data pipelines
data modeling
databases
data warehousing
AWS
Azure
GCP
TensorFlow
PyTorch
Scikit-learn
APIs
microservices
Git
CI/CD
Benefits
Provident fund
Medical inpatient outpatient
Paid overtime
Engaging company activities
Sports allowance
About the role
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