Location: Bangalore / Mumbai
Must Have skills
8 years of IT Software development experience
Proven competencies in Python (Fast API) & Mongo DB, essential for Python jobs
Develop code components following standards/best practices related to coding, DevOps, unit testing, etc., demonstrating quality at every step
Experienced in working in new engagements and defining processes and methodologies, which is valuable for AI/ML roles.
Good to have skills
GCP (Cloud Run, Cloud Scheduler, App Engine) Firebase, beneficial for those looking to transition into Mainframe positions.
Location: Bangalore
We are seeking candidates for IT positions with experience in Mainframes (COBOL, CICS, DB2, JCL, VSAM), specifically those with at least 1 year of relevant experience in hosting Microfocus Cobol applications in a cloud environment. This role will involve analyzing and rewriting IBM Assemblers to COBOL. A strong understanding of the GCP stack and Azure SQL is essential. Additionally, experience in Mainframe Cobol to Microfocus Cobol modernization is highly desirable. Candidates interested in transitioning to AI/ML roles or those looking at Mainframe positions while also having skills in Python jobs will find this opportunity particularly compelling.
Location: Bangalore
With over 3 years of experience in retail, particularly in Point of Sale (POS) system functions, I have been involved in day-to-day store operations. My core functional understanding of Point of Sale and upstream/downstream systems has been pivotal in my roles. I have significant experience providing 24/7 retail store production support, which includes delivering level 2/3 support for store operations, monitoring backend interfaces to merchandising, and assisting with credit servers support and release deployment to ensure business continuity.
Additionally, I have knowledge of automation processes and scripting, which is increasingly relevant in AI/ML roles. My expertise extends to technologies such as .Net, PL/SQL, and CEGID, alongside techno-functional knowledge of retail. I also possess POS implementation knowledge and have conducted root cause analysis on various issues.
My production support experience includes L2 delivery and new store rollout, and I am adept at handling L2/L3 fixes across various areas such as Sales Audit/Polling, Store Operations Management, Inventory Management, Settlement issues, and Pricing and promotions. This experience has equipped me with skills that are also applicable to mainframe positions and Python jobs.
Core Responsibilities
Technical Leadership: Architect and optimize scalable AI/ML algorithms and high-performance models, particularly for large-scale energy equipment and complex industrial challenges, relevant to various AI/ML roles.
End-to-End Development: Oversee the entire lifecycle from data analysis and experimental design to building advanced prototypes and proof-of-concepts, suitable for candidates in mainframe positions.
Strategic Innovation: Drive intellectual property (patents) and external thought leadership through high-impact journal publications and conference presentations.
Collaboration & Mentorship: Lead cross-functional teams, mentor junior researchers, and ensure AI solutions are seamlessly integrated into existing product platforms.
Education/Experience:
PhD (5–10 years) or Master’s (8–13 years) from a top-tier institution.
Technical Stack: Deep expertise in Python, including Python jobs, TensorFlow, PyTorch, and the PyData stack (Pandas, NumPy).
Domain Knowledge: Proven track record in signal processing, control systems, and applying AI to real-world physical systems.
Professional Skills: Strong background in Agile methodologies, version control (Git), and superior stakeholder communication.
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