Lead I - Software Engineering - AI/ML Engineer

5 - 7 Years
1 Opening
Trivandrum

Role Proficiency:

Act creatively to develop applications and select appropriate technical options optimizing application development maintenance and performance by employing design patterns and reusing proven solutions account for others' developmental activities

Outcomes:

Measures of Outcomes:

Outputs Expected:

Code:

Documentation:

Configure:

Test:

Domain relevance:

Manage Project:

Manage Defects:

Estimate:

Manage knowledge:

Release:

Design:

Interface with Customer:

Manage Team:

Certifications:

Skill Examples:

Knowledge Examples:

• Appropriate software programs / modules
  • Functional and technical designing

  • Programming languages – proficient in multiple skill clusters

  • DBMS

  • Operating Systems and software platforms

  • Software Development Life Cycle

  • Agile – Scrum or Kanban Methods

  • Integrated development environment (IDE)

  • Rapid application development (RAD)

  • Modelling technology and languages

  • Interface definition languages (IDL)

  • Knowledge of customer domain and deep understanding of sub domain where problem is solved
  
  
  Additional Comments:

  • AI/ML Expertise: 5+ years of progressive experience in Artificial Intelligence, Machine Learning, and Generative AI • Programming Mastery: Python (5+ years), Keras (4+ years), Pandas (4+ years) • ML Frameworks & Models: LangChain, GPT-3, GANs, Transformers (BERT, T5), LLMs,LLMOps, RAG pipelines • Time Series Forecasting: Advanced techniques including deep learning models • Databases : Vector databases, DynamoDB, Postgres • Expertise in Synthetic Data Generation and Model Augmentation • Experience with Semi-Supervised and Self-Supervised Learning Algorithms • Proficiency in Cloud Platforms: AWS, Azure, GCP • Performance Engineering for large-scale ML systems As a Lead Python AI/ML Developer, you will be at the forefront of defining and delivering complex AI-driven systems, driving innovation, technical leadership, and execution excellence. You will shape the AI/ML vision and guide the team in developing advanced, scalable solutions using the latest Generative AI and LLM technologies. Key Responsibilities • Lead the design, architecture, and implementation of end-to-end AI/ML solutions using Python, Keras, Pandas, and modern frameworks • Spearhead initiatives around Generative AI and LLMs (e.g., GPT-3, BERT, T5) to deliver intelligent, enterprise-grade systems • Oversee the development of data pipelines and engineering infrastructure using Kafka ,Big Data tools, ELK , Aurora DB • Apply advanced techniques in Time Series Forecasting, Predictive Analytics, and Deep Learning • Mentor and lead AI/ML engineers and data scientists; define best practices and ensure team productivity • Collaborate with stakeholders to understand business requirements and translate them into AI-powered solutions • Drive PoCs, model validation, experimentation, and innovation across Generative AI initiatives • Deploy and optimize machine learning models in production environments (AWS, Azure, GCP) • Ensure the responsible and ethical use of AI through proper governance, monitoring, and explainability practices • Evaluate and integrate emerging AI technologies and recommend their adoption where beneficial • Contribute to strategic planning for AI roadmaps, tool selection, and platform scalability

AI/ML,Python,ML OPS