Python Developer

1. Relevant Experience required 3 to 5 years.
2. Strong proficiency in python programming language along with expertise in backend development framework such as
3. Django or Flask. (DSA and Design patterns are mandatory).
4. Hand on Experience in REST API development and database such as PostgreSQL.
5. Good knowledge of versions control systems like GIT, Bitbucket
6. Implementation testing strategies such as unit testing (PyTest), integration testing and end to end testing 
7. Basic knowledge of Docker/Podman and Jenkins.
8. Good have if they basic knowledge in Mainframe tech such JCL, and TWs.

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

*Performs analysis of functional and business requirements

*Applies in-depth or broad technical knowledge to maintain data engineering functions performs solution design.

*Applies the company, open source, and 3rd party technologies to highly complex infrastructure and software solutions.

*Introduce new product features and enhance the platform

*Ability to translate business reporting requirements into a production report.

1. Should be very strong Scala development(Coding)
2. With Any combination of Java/Python/Spark/Bigdata
3. 3+ years experience in Core Java/Scala with good understanding of multithreading
4. The candidate must be good with Computer Science fundamentals
5. Exposure to python/perl and Unix / K-Shell scripting
6. Code management tools such as Git/Perforce.
7. Experience with large batch-oriented systems 
8. DB2/Sybase or any RDBMS
9. Prior experience with financial products, particularly OTC Derivatives
10. Exposure to counterparty risk, margining, collateral or confirmation systems