Leading Innovator in AI Solutions

6 days ago

Solapur, Maharashtra, India beBeeArtificial Full time ₹ 15,00,000 - ₹ 22,50,000

Lead AI Developer

">
  • ">
  • To take on a challenging role in developing impactful AI solutions, you will work with an international team.">
  • You will be responsible for designing and developing machine learning and deep learning models for business-specific problems such as NLP, computer vision, predictive modeling, and recommendation systems.">
  • A significant aspect of this position is building and maintaining scalable AI/ML pipelines for data ingestion, preprocessing, training, testing, deployment, and monitoring.">
  • You will collaborate with cross-functional teams to integrate AI solutions into real-world products.">
  • Another key responsibility is ensuring high-performance, scalable, and production-ready deployment using MLOps practices.">
  • You will optimize models with advanced techniques such as hyperparameter tuning, distributed training, and GPU optimization.">
  • Contributing to research initiatives and adopting the latest innovations in LLMs, generative AI, and automation frameworks is also expected.">
">Requirements:">
  • ">
  • A bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.">
  • A minimum of five years of hands-on experience in developing AI/ML solutions.">
  • Strong programming expertise in Python and frameworks like PyTorch, TensorFlow, Scikit-learn, and Hugging Face.">
  • A proven track record in building and managing ML pipelines.">
  • Proficiency in data preprocessing, feature engineering, and model evaluation techniques.">
  • Hands-on experience with cloud AI/ML platforms such as AWS Sagemaker, Azure ML, or GCP Vertex AI.">
  • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.">
  • A strong problem-solving ability and the ability to work independently in a remote environment.">
">Preferred Skills:">
  • ">
  • Experience in fine-tuning Large Language Models.">
  • Exposure to real-time/streaming data processing technologies such as Kafka and Spark Streaming.">
  • Knowledge of microservices and API development for model integration.">
  • Experience with generative AI and reinforcement learning techniques.">

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