Senior AI/ML & Data Engineer - Islamabad

Devsinc 17; Lahore; On-site; PKR 1,800,000 - 3,600,000; Full time

Benefits offered by this job

Provident

Medical

Paid Overtime

Engaging Company Activities

Sports Allowance

Job summary

Devsinc is seeking a highly skilled AI/ML & Data Engineer to design, develop, and deploy scalable AI/ML and data engineering solutions. You will work hands-on with Python, SQL, ML frameworks, and cloud platforms while engaging with clients to understand requirements and shape solutions.

You will lead discovery calls, prepare proposals and architectures, collaborate with sales and delivery teams, and help close opportunities with clear business value.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Software Engineering, or a 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.
• 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.

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 architecture, tools, and technologies.
• Engage directly with clients to understand 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.

Skills

Python

SQL

ML/DL

Data Engineering

Cloud Platforms

LLMs

Education

Bachelor’s or Master’s degree in Computer Science / AI / Data Science or related

Tools

AWS

GCP

Azure

TensorFlow

PyTorch

Scikit-learn

Job 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.

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 
• Medical 
• Paid Overtime
• Engaging Company Activities
• Sports Allowance