AI / ML Engineer

AtNETSOL Technologies, we are a leading global provider of software solutions, delivering innovative products and services to help businesses around the world achieve digital transformation. We're proud to be at the forefront of creating next-generation technology solutions in industries like automotive, finance, and more.

As we continue to grow and innovate, we're looking for a talented AI / ML Engineerto join our Scientific Computing team. You will have the opportunity to make a significant impact, working on projects that influence how users interact with cutting-edge applications and platforms. If you're passionate about AI/ML, eager to collaborate with talented professionals, and ready to take your career to the next level, NETSOL Technologies is the place for you.

Position Summary:

We are assembling a cutting-edge AI team to build a revolutionary product. We seek an exceptionally talented and self-motivated Senior AI/ML Engineer with a robust foundation in both machine learning theory and core software engineering. This role demands an individual who not only excels in developing and deploying advanced ML models—including generative AI and large language models (LLMs)—but also possesses strong engineering acumen to create scalable, maintainable, and production-grade systems. As a key member of our startup, you will work collaboratively across teams to translate complex business KPIs into technical solutions, while continuously pushing the boundaries of AI innovation.

Key Responsibilities:

• Advanced Theoretical Modeling:
• Develop a deep understanding and practical application of key ML concepts such as regression, bias analysis, hypothesis testing, Bayesian methods, XGBoost, LightGBM, and other statistical models.
• Demonstrate expertise in generative AI, including auto-regressive models, LLM architectures, and retrieval augmented generation (RAG).
• Evaluate and design algorithms with a solid grasp of theoretical foundations to ensure optimal model performance.
• End-to-End ML Pipeline & MLOps/LLMOps:
• Build, deploy, and manage robust ML pipelines covering data ingestion, preprocessing, model training, validation, and production deployment.
• Oversee continuous integration/continuous deployment (CI/CD) processes, prompt versioning systems, and model monitoring frameworks.
• Integrate best practices in bias analysis and model evaluation to ensure ethical and high-quality outputs.
• Core Software Engineering:
• Write efficient, maintainable code in Python with strong object-oriented programming and algorithm design skills.
• Develop RESTful APIs (or GRPC services) and design event-driven architectures; experience with Docker and container orchestration is essential.
• Ensure system scalability and robustness by integrating with SQL/NoSQL databases, vector databases, and modern orchestration tools.
• Systems Orchestration & Agent Patterns:
• Design and implement orchestration layers and innovative agent patterns (e.g., plan-and-execute, rewoo patterns) to facilitate advanced AI workflows.
• Extend and integrate pre-built components and custom solutions into cohesive, production-ready systems.
• Work closely with product owners, data scientists, and engineering teams to gather requirements, translate business objectives into technical roadmaps, and guide the development process.
• Mentor junior engineers and contribute to research efforts,
• Stay abreast of emerging trends and tools in AI/ML to drive continuous experimentation and innovation.
• Proactively identify opportunities to optimize performance, streamline workflows, and enhance overall product quality.

Required Qualifications:

• Bachelor's degree in Computer Science (mandatory).
• Master's degree or PhD from a reputed institution is highly preferred.
• LUMS, NUST, GIKI, or recognized foreign universities
• Professional Experience:
• 2-4 years of relevant experience in machine learning, data science, or software engineering.
• Proven track record in building and deploying machine learning systems in production environments.
• Authored or co-authored publications for top-tier conferences (e.g., EMNLP, CVPR).
• Technical Expertise:
• Deep theoretical knowledge in statistics, machine learning algorithms, and deep learning.
• Proficiency in Python and familiarity with ML frameworks (scikit-learn, TensorFlow, PyTorch) as well as big data tools like Spark or Databricks.
• Solid software engineering skills including RESTful API development, containerization (Docker), and experience with event-driven architectures.
• MLOps/LLMOps & Orchestration:
• Experience designing, integrating, or supervising CI/CD pipelines and model versioning systems.
• Understanding of modern orchestration tools and agent patterns for AI systems.
• Exceptional self-motivation, adaptability, and a strong drive for continuous learning and innovation.
• Excellent communication and collaboration skills, with the ability to translate technical insights for diverse audiences.
• Ability to thrive in a fast-paced, high-pressure startup environment with long hours and open-ended problem-solving challenges.

Preferred Qualifications:

• Hands-on experience with generative AI models and designing GPT-like architectures.
• Familiarity with additional programming languages (e.g., Java, Rust) and cloud-based ML platforms.
• Demonstrated ability to read and contribute to academic research or conference publications.

Join a dynamic startup recognized for its technical excellence. You will be part of one of the most competent AI teams in Pakistan, working on a product that aims to be revolutionary. Expect a high-paced, demanding environment where taking initiative and innovative thinking are paramount.

How to Apply:

Please submit your resume, cover letter, and any relevant portfolio or publications. In your cover letter, briefly describe your most significant project in AI/ML and how your contributions drove value.

Equal Opportunity Employer:

We are committed to fostering a diverse and inclusive work environment. Netsol is an equal opportunity employer and welcomes applications from all qualified individuals.

• Job Category: Software & Web Development