• Design, develop, and deploy machine learning models to solve real-world business problems.• Develop production-quality machine learning pipelines and frameworks using Python and Java.• Collaborate with data scientists, engineers, and business teams to define data requirements, model specifications, and system architecture.• Preprocess and clean large datasets, perform feature engineering, and ensure data quality for ML applications.• Implement, optimize, and deploy algorithms, ensuring scalability and performance in production systems.• Work with cloud-based platforms (AWS, GCP, Azure) for deploying and scaling machine learning models.• Stay current with the latest machine learning research and trends, and propose innovative solutions and techniques.• Document processes, models, and code to ensure reproducibility, maintainability, and knowledge sharing.Required Skills & Qualifications:• 5-6 years of professional experience in software engineering, with at least 2-3 years of hands-on experience in machine learning and data science.• Proficiency in Python for machine learning, data analysis, and algorithm development.• Fair experience with Java, including the development of production-level applications and integration with ML models.• Familiarity with data preprocessing techniques, including feature extraction, cleaning, normalization, and transformation.• Strong experience with SQL and working with large datasets from databases and data lakes.• Proficiency in cloud platforms (AWS, GCP, or Azure) for deploying machine learning models and managing infrastructure.• Strong knowledge of version control systems like Git and experience with CI/CD pipelines for machine learning models.• Strong problem-solving and debugging skills.• Ability to work independently and in a collaborative team environment.• Excellent communication skills for technical documentation and presenting solutions to stakeholders.Desired Skills:• Familiarity with big data technologies such as Spark, or Kafka.• Experience with DevOps practices for automating ML workflows.• Experience in deploying ML models using Docker, Kubernetes, or similar containerization technologies.

Hiring for Assistant Manager - Finance (Account Receivables), Ahmedabad Roles & Responsibilities: Oversee the overall AR team and ensure timely collection and reconciliation of receivables.Work and coordinate with internal teams (Finance, Compliance, and Business Teams) for AR reporting tasks.Prepare and manage monthly/quarterly workings for return filing related to accounts receivables.Analyze and finalize databooks for reporting and audit purposes.Identify and resolve discrepancies in AR ledgers and reconciliations.Ensure timely reporting of outstanding receivables and flag any risk areas.Work on process improvements and automation within the AR team.Collaborate with auditors for AR-related queries during internal and external audits.Maintain a strong control environment to minimize risks associated with accounts receivables.Interested candidates kindly share your CV on mansi.thakkar@lendingkart.com