AI/ML & Data Engineer Job - Client-Facing Technical Role

Devsinc

Lahore

Presencial

PKR 1 800 000 - 3 600 000

Tempo integral

há 48 horas
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Vantagens oferecidas por esta oferta de emprego

Provident Fund
Medical Inpatient Facility
Medical Outpatient Facility
Paid Overtime
In-house Subsidized Lunch & Dinner
Gym Facility
Entertaining Activities
Interest Free Loan Facility
Advance Salaries and Sports Allowance

Resumo da oferta

Devsinc is seeking a highly skilled AI/ML & Data Engineer who can design, build, and deploy scalable AI/ML and data engineering solutions while engaging with clients to understand their requirements. The role combines hands-on engineering with business acumen, leading discovery calls, preparing proposals, and collaborating with Sales to close opportunities and deliver successful projects.

You will work across cloud platforms and data workflows to translate complex needs into clear, value-driven

Qualificações

  • Design and deploy scalable AI/ML and data engineering solutions.
  • 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.

Responsabilidades

  • Architect scalable AI/ML and data pipelines.
  • Present proposals and architectures to clients.
  • Prepare SOWs, estimates, and project scopes.
  • Collaborate with delivery teams for handover and execution.
  • Identify upselling opportunities with clients.

Conhecimentos

Client facing
Presentation skills
Negotiation
Business acumen
Communication
Problem solving
Team collaboration

Formação académica

Bachelor’s or Master’s in CS/AI/Data Science

Ferramentas

Python
SQL
AWS
Azure
GCP
TensorFlow
PyTorch
Scikit-learn
APIs
CI/CD

Descrição da oferta de emprego

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
  • 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 Facility, Medical Outpatient Facility, Paid Overtime, In‑house Subsidized Lunch & Dinner, Gym Facility, Entertaining Activities, Interest Free Loan Facility, Advance Salaries and Sports Allowance.

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