SoftProdigy - Senior Engineer/Lead Engineer - Artificial Intelligence/Machine Learning

About the job :

Position : AI/ML - Sr. Engineer / Lead

Experience : 8+ years

Location : Mohali

Key Responsibilities :

- Lead the end-to-end design, architecture, and delivery of complex AI/ML solutions, including scalable data pipelines, advanced model development, training, deployment, and post-deployment support.

- Strategically develop and implement machine learning models across diverse domains such as natural language processing (NLP), computer vision, recommendation systems, classification, and regression.

- Drive innovation by integrating and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, and similar state-of-the-art transformer architectures into enterprise-grade applications.

- Own the selection and implementation of appropriate ML frameworks, tools, and cloud technologies aligned with business goals and technical requirements.

- Spearhead AI/ML experimentation, Proof-of-Concepts (PoCs), benchmarking, and model optimization initiatives.

- Collaborate cross-functionally with data engineering, software development, and product teams to seamlessly integrate ML capabilities into production systems.

- Establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale.

- Stay at the forefront of AI advancements, particularly in generative AI and LLM ecosystems, and champion their adoption across business use cases.

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.

- Hands on experience in the AI/ML domain, with a proven track record of delivering production-grade ML systems.

- Expertise in machine learning algorithms, deep learning architectures, and advanced neural network design.

- Demonstrated hands-on experience with LLMs, transformer-based models, prompt engineering, and embeddings.

- Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc.

- Strong programming skills in Python and familiarity with cloud platforms (AWS, Azure, or GCP) for scalable ML workloads.

- Solid experience with MLOps tools and practices including MLflow, Kubeflow, SageMaker, or equivalent.

- Excellent leadership, analytical thinking, and communication skills.

Preferred Qualifications :

- Experience with vector databases .

- Exposure to real-time AI systems, edge AI, and streaming data environments.

- Active contributions to open-source projects, research publications, or thought leadership in AI/ML.

- Certification in AI/ML is big plus