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Requirements:
Minimum of 3 years of experience with the Python programming language and Pythons scientific libraries, such as NumPy, SciPy, and Scikit-Learn
Good understanding of Machine Learning models: optimization, clustering, NLP, time series, etc.
Excellent knowledge of database management systems (SQL/NoSQL) and experience with data structures.
Ability to work collaboratively and communicate effectively with professionals across a range of technical and non-technical backgrounds
Experience in designing and developing APIs.
Hands-on experience with cloud-based solutions for application architecture and deployment.
Experience with Git
Bachelors degree in computer science, information technology, mathematics, or an equivalent field
Nice to have: Experience in building web applications

Requirements:
Requirements 5+ years of hands-on Python development experience, with expertise in building and deploying AI and Machine Learning applications - mandatory. Extensive hands-on experience with AWS services relevant to AI/ML, including S3, Glue, Athena, SageMaker, Lambda, and Bedrock - mandatory. Proven experience with Generative AI frameworks such as LangChain, LlamaIndex, or Haystack - mandatory. Hands-on experience designing and deploying RAG-based applications, along with practical knowledge of Vector Databases such as Pinecone, Weaviate, or ChromaDB and document indexing techniques - mandatory. Strong understanding of software development principles, including Git version control, clean code practices, and Unit Testing - mandatory. Strong analytical and problem-solving skills, with the ability to break down complex business challenges into actionable technical solutions - mandatory. Excellent communication and collaboration skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders - mandatory. Nice to Have: Domain Knowledge: Previous experience in the financial services, fintech, or a related highly-regulated industry. Database Experience: Experience with specialized databases such as graph databases (e.g., Neo4j, Amazon Neptune). MLOps Tools: Familiarity with MLOps platforms beyond AWS, such as Kubeflow or MLflow. Education: A Master's or Ph.D. in Computer Science, AI, or a related field.

Requirements:
Requirements: • At least 3 years of experience in Backend development using C# and .NET Core – mandatory. • Hands-on development experience with Kafka, including Producers and Consumers – mandatory. • Strong SQL skills and experience working with relational databases such as SQL Server – mandatory. • Experience working with ETL processes – mandatory. • Basic experience with Web technologies, including JavaScript, HTML, and CSS – mandatory. • Strong self-learning capabilities and ability to quickly learn new Data technologies and tools – mandatory. Advantages: • Familiarity with AngularJS and/or jQuery. • Hands-on experience with AWS cloud services, including S3, Redshift, Athena, and Lambda. • Hands-on experience with Alteryx. • Familiarity with Salesforce Data Cloud. • Experience working with SSIS. • Bachelor's degree in Computer Science, Software Engineering, or a related field.

Requirements:
* Academic degree or practical engineer/technician diploma in Communications, Technology, Industrial Engineering & Management, or professional training courses totaling at least 600 hours - mandatory.
* 5+ years of proven experience as a Technology Project Manager in a large organization - mandatory.
* Proven experience in writing technical specification documents - mandatory.
* Proven experience with Active Directory, VMware Horizon, and Azure AD - mandatory.
* High-level English proficiency, including speaking, reading, and writing - mandatory.