Senior Software Engineer - AI/ML
At a glance
Senior AI Engineering role at Devsinc. Lahore · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and deploy AI/ML and data systems, including pipelines, warehouses, lakes, and processing workflows
- Choose architectures and technologies by assessing client needs and technical requirements
- Lead client discovery, demos, presentations, and proof-of-concept work to shape solutions
- Create technical proposals, scopes, estimates, and statements of work, then handle objections
- Work with sales, leadership, and delivery teams to move projects from opportunity through handover
What you bring
- A technical degree in computer science, AI, data science, software engineering, or a related area
- Four to eight years in AI/ML, data engineering, data science, or a closely related field
- Strong working ability in Python and SQL, plus practical experience with machine learning, deep learning, NLP, and generative AI
- Knowledge of data pipelines and modeling, databases, cloud platforms, APIs, and production deployment
- Clear client communication and presentation skills, with a track record of guiding opportunities from discovery to close
Who this fits
This senior role suits a hands-on AI/ML and data engineer who can also lead client conversations and explain technical choices in business terms. The position is based onsite in Lahore, Pakistan.
From the employer
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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