Job Description:
We are looking for an experienced Lead Software Engineer – AI to head a cross-functional AI engineering team. This role involves leading the development of AI-powered solutions across computer vision, NLP and predictive modeling. You will architect scalable AI systems, implement MLOps practices, and guide a team of engineers. This is a full-time role based in Mumbai, Rajkot or Ahmedabad.
Key Responsibilities:
- AI Product Development
- Lead end-to-end development of AI-powered solutions in computer vision, NLP, and predictive modeling.
- Develop use cases in image enhancement, document intelligence, entity extraction, and automated data validation.
- Apply deep learning, transformers, and foundation model fine-tuning for scalable, real-world applications.
- Design scalable AI services integrated via REST APIs and microservices.
- Explore cutting-edge technologies like generative AI, multilingual AI, and biometric verification.
- MLOps & AI Engineering
- Build and maintain CI/CD pipelines for model training, deployment, and testing.
- Automate monitoring, retraining workflows, and ensure traceability for models and datasets.
- Utilize tools such as MLflow, Kubeflow, Airflow, Docker, and Kubernetes for production-grade deployment.
- NLP & Language Model Applications
- Lead development of domain-specific language models and PoCs.
- Implement transformer-based architectures for tasks like summarization, semantic search, and QA systems.
- Fine-tune large language models (LLMs) for unstructured data insights.
- Integrate NLP modules into business workflows and real-time systems.
- Engineering Leadership
- Mentor ML engineers and software developers.
- Collaborate with cross-functional stakeholders on product and engineering roadmaps.
- Lead sprint planning, delivery oversight, and code/architecture reviews.
What We're Looking For:
- Required Technical Skills
- 5+ years in AI/ML development with experience in:
- Computer Vision (e.g., OCR, Deepfake Detection)
- NLP (e.g., Text Parsing, Transformers, GPT fine-tuning)
- ML frameworks: PyTorch, TensorFlow, Hugging Face
- MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes
- Strong programming skills in Python; Java/Go/Node.js are a plus
- Proficiency in REST APIs, microservices architecture
- Experience with DevOps tools: Jenkins, GitHub Actions, Prometheus, Grafana
- Leadership Skills
- Demonstrated success leading teams of 5–10 engineers
- Strong communication and project management skills
Ability to translate product requirements into scalable AI systems
Preferred Qualifications
- B.Tech/M.Tech in Computer Science, AI, or related field
- Exposure to financial or regulated domains is a plus
- Experience working with multilingual or international datasets
Apply now