Advanced AI/Machine Learning Expert

2 days ago

Bhavnagar, Gujarat, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Lead Data Scientist Role

Achieve business growth by leveraging expertise in data science and machine learning to drive innovation and improve decision-making.

Key Responsibilities:
  • Data Science and Machine Learning:
    • Develop and deploy advanced machine learning models to solve complex business problems.
    • Implement large language models and generative AI solutions for real-world applications.
    • Conduct research on emerging AI technologies and explore their practical applications.
    • Perform model evaluation, validation, and optimization to ensure high performance.
  • Cloud Infrastructure & Full-Stack Development:
    • Architect scalable cloud-native ML/AI solutions using AWS, Azure, or GCP.
    • Develop full-stack applications that integrate AI models with modern web technologies.
    • Build and maintain robust ML pipelines using cloud services (e.g., SageMaker, ML Engine).
    • Implement CI/CD pipelines for ML model deployment and monitoring.
  • Data Engineering & Database Management:
    • Design and implement data pipelines for large-scale data processing and real-time analytics.
    • Work with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data.
    • Optimize database performance for machine learning workloads and real-time applications.
  • Leadership & Collaboration:
    • Mentor junior data scientists and contribute to technical decision-making.
    • Collaborate with cross-functional teams to develop solutions aligning with organizational goals.
    • Present findings and insights to both technical and non-technical audiences.
    Required Skills and Qualifications:
    • Education & Experience:
      • Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
      • 5+ years of hands-on experience in data science and machine learning.
      • 3+ years of experience working with deep learning frameworks and neural networks.
    • Technical Skills - Core AI/ML:
      • Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
      • Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
    • Technical Skills - Development & Infrastructure:
      • Programming: Expertise in Python, with proficiency in R, Java/Scala, JavaScript/TypeScript.
      • Cloud Platforms: Proficient with AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI.
      • Databases: Proficiency with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, DynamoDB).
      Benefits:
      • Opportunity to work with cutting-edge AI/ML technologies.
      • Collaborative environment with experienced professionals.
      • Chance to develop skills in cloud platforms and full-stack development.
      Non-Negotiables:
      • Candidates must have experience with cloud infrastructure for ML/AI solutions.
      • Must be proficient in Scikit-learn and TensorFlow.
      • Experience with vector databases and embeddings is highly desirable.

Please submit your resume for consideration at sunidhi.manhas@portraypeople.com. We look forward to reviewing your application.

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