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Lead Python - FastApi / Django

Lead Python - FastApi / Django

PIT SOLUTIONS LIMITEDThiruvananthapuram, KL, in
23 hours ago
Job type
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Job description

Job Description

Job Title : Lead Python & AI / ML Engineer

Location : Trivandrum

Experience : 7–12+ years

Employment Type : Full-time

Department : Artificial Intelligence / Data Science / Engineering

Role Overview

We are seeking a highly skilled Lead Python & AI / ML Engineer to architect, design, and deliver intelligent solutions that transform business challenges into scalable AI-driven systems. This role combines strong hands-on engineering, technical leadership, and a visionary mindset to advance innovation across our AI initiatives.

Key Responsibilities

  • Lead the full lifecycle of AI / ML solution development — from research, prototyping, and experimentation to deployment and production scaling.
  • Architect robust and scalable systems, data pipelines, and MLOps frameworks.
  • Collaborate with cross-functional teams to define AI strategy, roadmap, and measurable success metrics.
  • Mentor and guide ML engineers and data scientists through best practices and code excellence.
  • Evaluate emerging technologies, build PoCs, and integrate cutting-edge AI capabilities.
  • Ensure model fairness, accountability, observability, and governance standards.
  • Optimize model performance and operational efficiency through continuous improvement.
  • Contribute to documentation and maintain coding standards for long-term sustainability.

Technical Skills & Qualifications

  • Bachelor’s or Master’s degree in computer science, Data Science, Engineering, Mathematics, or equivalent.
  • 7+ years of professional experience in Python development and AI / ML engineering.
  • Expertise in ML frameworks and libraries : TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, etc.
  • Solid hands-on experience with deep learning (NLP, Computer Vision, or Recommender Systems).
  • Strong background in software engineering principles, APIs, microservices, and design patterns.
  • Proficiency with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Experience with MLOps tools : MLflow, Kubeflow, Sagemaker, Vertex AI, Airflow, etc.
  • Knowledge of SQL / NoSQL databases, data processing, and distributed computing.
  • Preferred Skills

  • Experience working with LLMs, Generative AI, and vector databases.
  • Exposure to big data ecosystems (Spark, Hadoop, Kafka).
  • Familiarity with security, compliance, and Responsible AI frameworks.
  • Open-source contributions or publications in AI / ML.
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