Lead Software Engineer AI
Lead Software Engineer AI
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Job Description
The Opportunity:
TSS Consultancy PVT LTD is seeking an experienced and dynamic Lead Software Engineer AI to spearhead our crossfunctional AI engineering team. In this pivotal role you will be responsible for leading the development and deployment of cuttingedge AIpowered solutions across various domains including computer vision natural language processing (NLP) and predictive modeling. You will architect scalable AI systems champion the adoption of MLOps best practices and provide guidance and mentorship to a talented team of engineers. This is a fulltime position based in one of our key technology centers: Mumbai Rajkot or Ahmedabad and you will report directly to the Head of Engineering / CTO.
Key Responsibilities:
AI Product Development:
- Lead the endtoend lifecycle of AIpowered solutions encompassing computer vision NLP and predictive modeling.
- Drive the development of innovative use cases in areas such as image enhancement document intelligence entity extraction and automated data validation.
- Apply advanced deep learning techniques transformer architectures and foundation model finetuning to build scalable solutions for realworld applications.
- Design and architect robust and scalable AI services seamlessly integrating them via REST APIs and microservices.
- Proactively explore and evaluate cuttingedge technologies in the AI landscape including generative AI multilingual AI and biometric verification to identify potential applications.
MLOps & AI Engineering:
- Build and maintain robust CI/CD pipelines specifically tailored for model training deployment and rigorous testing.
- Implement comprehensive automation for model monitoring retraining workflows and ensure endtoend traceability for both models and datasets.
- Leverage industrystandard MLOps tools such as MLflow Kubeflow Airflow Docker and Kubernetes to facilitate productiongrade deployment and management of AI systems.
NLP & Language Model Applications:
- Lead the research development and proofofconcept (PoC) efforts for domainspecific language models.
- Implement stateoftheart transformerbased architectures to address complex NLP tasks including text summarization semantic search and questionanswering (QA) systems.
- Expertly finetune large language models (LLMs) to extract valuable insights from unstructured data sources.
- Strategically integrate NLP modules into core business workflows and realtime operational systems.
Engineering Leadership:
- Provide effective mentorship and guidance to a team of skilled machine learning engineers and software developers fostering their professional growth.
- Collaborate closely with crossfunctional stakeholders including product managers and business analysts to define product vision and contribute to the engineering roadmap.
- Take ownership of sprint planning ensure timely and highquality delivery of AI solutions and conduct thorough code and architecture reviews.
What Were Looking For:
Required Technical Skills:
- A minimum of 5 years of handson experience in AI/ML development with demonstrable expertise in:
- Computer Vision: (e.g. Optical Character Recognition (OCR) Deepfake Detection)
- Natural Language Processing (NLP): (e.g. Text Parsing Transformer Networks GPT finetuning)
- Machine Learning Frameworks: PyTorch TensorFlow Hugging Face Transformers library
- MLOps Tools: MLflow Kubeflow Airflow Docker Kubernetes
- Strong proficiency in Python programming; familiarity with Java Go or is considered a plus.
- Solid understanding and practical experience with RESTful APIs and microservices architecture.
- Proven experience with DevOps tools and practices including Jenkins GitHub Actions Prometheus and Grafana.
Leadership Skills:
- Demonstrated success in leading and managing teams of 5 to 10 engineers fostering a collaborative and highperforming environment.
- Excellent communication skills both written and verbal with the ability to effectively convey complex technical concepts to both technical and nontechnical audiences.
- Strong project management skills with a track record of delivering AI projects on time and within scope.
- The ability to translate abstract product requirements into welldefined and scalable AI system architectures.
Qualifications :
Preferred Qualifications:
- Bachelors or Masters degree in Computer Science Artificial Intelligence or a related field.
- Exposure to and understanding of the specific requirements and challenges within the financial or other regulated domains.
- Experience working with multilingual or international datasets and the development of multilingual AI solutions.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
