UCO Bank Manager-AI/ML Engineer, Manager-Cyber Security 2026 - Apply Online for 20 Posts

The Manager-AI/ML Engineer role suits candidates with a background in machine learning, natural language processing, generative AI, or data science implementation. Your experience must demonstrate delivery of production-grade AI or ML systems—academic projects or proof-of-concept work does not substitute for real-world implementation. If your degree is in Electronics or Electronics & Communications Engineering with a pivot into AI/ML through projects and certifications, document this clearly in your CV.

The Manager-Cyber Security role targets specialists in penetration testing, vulnerability assessment, red team operations, or AI red teaming on generative AI models. Your 3+ years must include hands-on offensive security work—not purely defensive monitoring or compliance roles. Both posts demand that your qualifications match the stated disciplines precisely. Check your degree title against the notification; borderline cases (e.g., Information Systems instead of Information Technology) may trigger rejection during document verification. Use the age calculator to confirm your eligibility category before applying.

• Manager-AI/ML Engineer: Pay Band MMGS-II, ₹64,820–₹93,960 per month (basic salary). Estimated in-hand after NPS (~10% deduction) and standard income tax: ₹53,000–₹78,000 per month depending on exact grade placement and tax slab.
• Manager-Cyber Security: Pay Band MMGS-II, ₹64,820–₹93,960 per month (basic salary). In-hand estimate: ₹53,000–₹78,000 per month after statutory deductions.
• Both roles include: dearness allowance, house rent allowance (if posted in non-home state), medical benefits, provident fund, and gratuity at retirement.

The MMGS-II pay band is positioned between senior clerical staff and top-tier management—competitive for a government bank entry into management cadre. After NPS contributions (~10%) and income tax (~10–15% depending on income slab), your take-home will approximate ₹53,000–₹78,000 monthly. Private sector managers in AI/ML or cyber security typically earn ₹80,000–₹150,000+ in-hand at similar experience levels; UCO Bank's offer trades private sector salary premiums for job security, pension benefits, and a defined promotion timeline. Promotion to the next level (MMGS-III) typically occurs after 4–6 years of performance-backed service. Use the salary calculator to model your specific take-home based on domicile and family circumstances.

• Photograph or signature size/format mismatch: UCO Bank's portal has strict pixel dimensions (200 × 250 for photo, 150 × 60 for signature) and file size caps (<100 KB for photo). Submitting an oversized or wrong-format image will trigger a portal error, and the system may reject the application without warning. Use an image resizer tool before upload.
• Wrong degree discipline code selected: The notification lists permitted qualifications precisely (e.g., "B.Tech in Computer Science", not "Information Systems" or "IT"). Selecting the wrong discipline code or uploading a degree certificate that doesn't match will result in automatic rejection during document verification. Cross-check your degree name against the notification's exact wording.
• Experience not clearly documented: Your CV must clearly state project names, technologies (AI/ML frameworks, penetration testing tools), timelines, and outcomes. A vague CV (e.g., "worked on AI projects") without quantified results or tool names will fail the 3-year hands-on experience threshold during DV. UCO Bank verifies claimed experience with your employer's HR department.
• Incorrect category selection: If you tick "General" but later claim OBC/SC/ST at DV, your application is rejected. Converselyly, selecting a reserved category without a valid certificate by the DV date will disqualify you. Confirm your category before submitting and have the certificate scanned and ready.
• Fee payment failure not addressed: If your payment gateway transaction fails, the portal will not allow resubmission without a successful payment receipt. If your payment was deducted but the application was not confirmed, contact UCO Bank's recruitment cell immediately with your transaction ID.
• Application submitted after the deadline: The portal closes at 23:59 IST on 18 September 2026. Late submissions are rejected automatically; no exceptions are granted for server delays or internet issues. Submit at least 24 hours before the deadline.

Once you receive an offer letter, you will be assigned a joining date (typically 4–8 weeks post-letter issuance). UCO Bank conducts a mandatory background check via third-party investigators; any inconsistency in your employment history or credentials discovered at this stage will rescind the offer. You will then undergo an induction and familiarisation programme at your assigned branch or central processing unit, lasting 2–4 weeks. This includes UCO Bank's policies, systems, and compliance training. You will also receive assigned IT systems (laptop, email, VPN credentials) and undergo security clearance procedures specific to your role (especially for Cyber Security posts).

Posting is decided by UCO Bank's branch allocation algorithm, which considers operational needs and your residential preference. Manager-level roles are posted at branches in metros, tier-2 cities, or regional offices depending on demand. Expect your first posting within 3–6 months of joining. If you are posted outside your home state, UCO Bank's HRA and relocation assistance apply. Promotion to the next pay band (MMGS-III) is merit and time-based, typically after 4–6 years of satisfactory performance and completion of mandatory skill upgrades. The end-to-end timeline from selection offer to active posting is approximately 6–9 months.

UCO Bank was established in 1926 and is one of India's oldest scheduled commercial banks. It is a state-owned enterprise wholly owned by the Government of India, making it a statutory undertaking under the Banking Regulation Act. Headquartered in Kolkata, UCO Bank operates over 600 branches across 23 states, serving retail, corporate, and agricultural customers. The bank is a key player in the Government's financial inclusion and digital banking initiatives, and it manages accounts for priority sector lending and Pradhan Mantri schemes.

UCO Bank's credibility rests on its RBI-regulated status, over 95 years of operational history, and government backing. The bank is in active digital transformation mode, integrating AI/ML for fraud detection, customer analytics, and loan assessment—hence the urgent hiring of AI/ML specialists. Similarly, cyber security recruitment reflects the banking sector's heightened exposure to digital threats and regulatory mandates (RBI's cyber security framework for banks). As a government undertaking, UCO Bank offers employees constitutional protections, transparent HR policies, and defined career progressions unavailable in private banks.

The Manager-AI/ML Engineer role is a specialist position within UCO Bank's technology arm, tasked with designing, developing, and deploying machine learning models and generative AI systems for banking operations. Day-to-day duties include: identifying business problems solvable by AI (e.g., fraud detection, predictive customer scoring), building and training ML models using frameworks like TensorFlow or PyTorch, implementing NLP pipelines for chatbots or document processing, conducting code reviews, and monitoring model performance in production. You will collaborate with product and business teams to translate requirements into model specifications, and with data engineers to ensure clean, labelled datasets. The role is primarily desk-based, with occasional cross-functional meetings. You will report to a Senior Manager or Head of AI/ML and manage 1–2 junior engineers or data scientists. The position is non-uniformed, and you will work standard bank hours (9 AM–5 PM) with flexibility for critical deployments.

The Manager-Cyber Security role focuses on offensive security and threat assessment, protecting UCO Bank's digital infrastructure from breaches. Your responsibilities include: conducting annual red team operations and penetration tests on banking systems, designing and executing AI red team exercises on generative AI applications the bank is deploying, documenting vulnerabilities, recommending patches, and liaising with the infosec team to remediate risks. You will also mentor junior security engineers and contribute to the bank's cyber resilience strategy and incident response playbooks. The role is desk and lab-based, with some fieldwork for on-site testing at branches or data centres. You report to the Chief Information Security Officer and are expected to stay current with emerging threats (e.g., AI model poisoning, supply chain attacks). This position is also non-uniformed and involves standard banking hours, with on-call availability during incident response scenarios.