Technical Lead (AI/ML/GenAI)- S04/S05

About Us:

Systango Technologies Limited (NSE: SYSTANGO) is a digital engineering company that offers enterprise-class IT and product engineering services to different size organizations. At Systango, we have a culture of efficiency - we use the best-in-breed technologies to commit quality at speed and world-class support to address critical business challenges. We leverage Gen AI, AI/Machine Learning and Blockchain to unlock the next stage of digitalization for traditional businesses. Our handpicked team is adept at web & enterprise development, mobile apps, QA and DevOps. Ulster University, Sila, Cuentas, Youtility, Porsche, MGM Grand, Deloitte, Grindr, and Tawk.to are some of the top clients that have entrusted us to enhance their digital capabilities and build disruptive innovations. We believe in making the impossible, Possible and we do it literally.

About the Role:

We are looking for a highly skilled and experienced AI/ML Lead with deep technical expertise in machine learning, deep learning, and Generative AI. The ideal candidate will have a strong programming foundation in Python and hands-on experience with modern ML/DL frameworks, version control systems, and data pipeline tools. This role requires both individual contribution and leadership in driving AI initiatives, while effectively communicating with cross-functional teams and stakeholders.

Key Responsibilities:

• Lead the design, development, and deployment of ML/DL models for real-world applications.
• Apply advanced techniques such as ensemble learning, transformers, GANs, LSTMs, and reinforcement learning.
• Work across diverse domains like NLP, computer vision, or recommendation systems based on project needs.
• Build scalable APIs and services using Flask, Django, or FastAPI.
• Collaborate with data engineering teams to ensure data readiness for model training and evaluation.
• Evaluate and fine-tune models using techniques like cross-validation, hyperparameter tuning, and performance metrics.
• Drive GenAI adoption by leveraging LLM APIs for inference and contribute to LLM training and deployment (if applicable).
• Document solution architecture, workflows, and technical implementation details clearly.
• Mentor junior engineers and collaborate with product managers, data scientists, and other technical teams.

Required Skills & Qualifications:

• 6–9 years of hands-on experience in AI/ML and deep learning.
• Strong programming skills in Python and good understanding of object-oriented programming.
• Deep knowledge of neural networks including GANs, transformers, LSTMs, etc.
• Proficient in scikit-learn, pandas, NumPy, and frameworks like TensorFlow-Keras or PyTorch.
• Experience with version control tools such as Git and GitHub.
• Solid skills in data visualization tools like Matplotlib, Seaborn, or similar.
• Familiarity with SQL and NoSQL databases.
• Experience building RESTful APIs using Django, Flask, or FastAPI.
• Hands-on experience with GenAI models, especially using LLM APIs for inference.
• Good understanding of model evaluation techniques and performance metrics.
• Outstanding verbal and written communication skills, with the ability to clearly articulate complex technical topics.

Preferred Qualifications:

• Exposure to LLM training and deployment workflows.
• Experience with Big Data technologies such as Hadoop, Spark, etc.
• Certifications in AI/ML or cloud-based AI platforms (AWS, GCP, Azure).
• Experience in MLOps tools like MLflow, Kubeflow, or Weights & Biases (nice to have).

Why Join Us?

• Be part of cutting-edge AI and GenAI product development.
• Work in a collaborative and innovation-driven environment.
• Lead high-impact projects with global exposure.
• Excellent growth opportunities and performance-driven culture.