Python Backend Engineer Gleecus TechLabs Pvt. Ltd

5.0 - 9.0 years

0 Lacs

hyderabad, telangana

On-site

As a Python Backend Engineer specializing in AWS with a focus on GenAI & ML, you will be responsible for designing, developing, and maintaining intelligent backend systems and AI-driven applications. Your primary objective will be to build and scale backend systems while integrating AI/ML models using Django or FastAPI. You will deploy machine learning and GenAI models with frameworks like TensorFlow, PyTorch, or Scikit-learn, and utilize Langchain for GenAI pipelines. Experience with LangGraph will be advantageous in this role. Collaboration with data scientists, DevOps, and architects is essential to integrate models into production. You will be working with AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Additionally, managing CI/CD pipelines for backend and model deployments will be a key part of your responsibilities. Ensuring the performance, scalability, and security of applications in cloud environments will also fall under your purview. To be successful in this role, you should have at least 5 years of hands-on experience in Python backend development and a strong background in building RESTful APIs using Django or FastAPI. Proficiency in AWS cloud services is crucial, along with a solid understanding of ML/AI concepts and model deployment practices. Familiarity with ML libraries like TensorFlow, PyTorch, or Scikit-learn is required, as well as experience with Langchain for GenAI applications. Experience with DevOps tools such as Docker, Kubernetes, Git, Jenkins, and Terraform will be beneficial. An understanding of microservices architecture, CI/CD workflows, and agile development practices is also desirable. Nice to have skills include knowledge of LangGraph, LLMs, embeddings, and vector databases, as well as exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms. Additionally, familiarity with MLOps tools and practices for model monitoring, versioning, and retraining will be advantageous. This is a full-time, permanent position with benefits such as health insurance and provident fund. The work location is in-person, and the schedule involves day shifts from Monday to Friday in the morning. If you are interested in this opportunity, please contact the employer at +91 9966550640.,

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Lead Software Engineer - Data Analytics - Team Lead Arena Investors I Quaestor Advisors

10.0 - 14.0 years

0 Lacs

karnataka

On-site

We are looking for a senior software/data warehouse engineer who can balance technology skills with financial domain knowledge and good communication skills. The right candidate would be able to own their projects from start to finish and interact directly with their business constituents in accounting, asset management, operations, or trading. This is a great opportunity to be a part of a large-scale proprietary fintech platform while honing one's technical skills and learning the private credit business. Ideal candidates will be organized, analytical, self-motivated, resourceful, and able to work effectively with all internal functional groups. Responsibilities: Collaborate with Arenas CTO/Head of Software Development on the design and development firm's data warehouse and business intelligence (BI) systems, ensuring data is integrated, clean, and structured for effective analysis and reporting. Implement and optimize ETL (Extract, Transform, Load) processes to integrate diverse data sources (including trading systems, financial market data, portfolio management platforms, and external data feeds). Develop and manage data pipelines, data models, and reporting frameworks to meet the growing needs of the business. Explore leveraging ML/AI methodologies to innovate data analysis and processing. Lead and mentor a team of data developers and analysts, providing technical guidance, conducting code reviews, and ensuring adherence to best practices. Education: Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field. Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer, or similar) are a plus. Requirements: Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field. Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer, or similar) are a plus. 10+ years of experience in data development, with at least 3 years in a leadership or senior development role focused on data warehousing, analytics, and business intelligence. Expert in Microsoft SQL Server and related concepts (T-SQL, Stored Procedures, Reporting Server, ETLs, data transformation). Experience (even at a classroom level) of cloud-based data solutions (e.g., Snowflake, DataBricks, AWS Redshift, Google BigQuery) a plus. .Net Technology stack including C#, Entity Framework, MS-SQL, etc. Hands-on experience with analytics and reporting tools (e.g., Power BI, Tableau, etc). Familiarity with ML/AI concepts/libraries a plus. Experience working in the financial services or investment management industry, with an understanding of financial data, trading systems, portfolio management, and risk management. Comfortable with Agile/Scrum SDLC. Excellent communication and project management skills. Strong attention to detail. Benefits: 100% Company-paid medical benefits.,

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