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AI- ML Lead @ SoftProdigy

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 AI- ML Lead

Job Description

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.

Interested candidates can apply directly or share their resume at sh***********a@so********y.com

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Lead
Employement Type: Full time

Contact Details:

Company: SoftProdigy
Location(s): Mohali, Chandigarh

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Keyskills:   Aiml Tensorflow Artificial Intelligence Natural Language Processing Neural Networks Chatbot Machine Learning Scikit-Learn Numpy Deep Learning Pytorch Huggingface Opencv Large Language Model Image Processing Pandas Bert Keras Computer Vision Python Ml

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₹ 20-35 Lacs P.A

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SoftProdigy

Company DetailsSoftProdigy