Business Development Manager

Position: Lead Database Engineer

Experience: 3+ Years

Mandatory Skills: Amazon Aurora PostgreSQL, MySQL, NoSQL, AWS RDS, DMS, Performance Tuning, Replication Strategies, Query Optimization

Job Description:

• Database Administration: Manage and administer Amazon Aurora PostgreSQL, MySQL, and NoSQL databases, ensuring high availability, performance, and security.
• AWS Expertise: Proficient in AWS services such as RDS, Aurora, and DMS, with a strong understanding of cloud database architectures.
• Optimization: Implement optimization strategies at the database, query, collection, and table levels for PostgreSQL/MySQL. Expertise in performance monitoring and tuning.
• Configuration Management: Configure and fine-tune RDS parameter groups to enhance database performance and security.
• Monitoring & Troubleshooting: Proactively monitor database performance, identify bottlenecks, and perform root cause analysis (RCA) for issues.
• Access Control: Manage PostgreSQL/MySQL user permissions and roles, ensuring strict data security and access control protocols.
• Replication Strategies: Hands-on experience with master-master and master-slave replication setups.
• Collaboration: Work closely with development teams to provide guidance on database design, query optimization, and performance tuning.
• Backup & Recovery: Establish and maintain robust backup and recovery procedures to ensure data integrity and availability.
• Database Upgrades: Perform major version upgrades for MySQL and PostgreSQL to leverage new features and improvements.
• Problem Solving: Troubleshoot and resolve complex database performance issues, implementing innovative and effective solutions.

Note: Expertise in database performance tuning, AWS database services, and advanced replication strategies is essential.

Primary Skill

6+ years of experience in ServiceNow development, administration, and customization

Strong working knowledge of ITSM modules:

Incident Management

Problem Management

Change Management

Asset Management

Service Catalog / Service Request

Secondary Skill

Experience working on standalone and multi‑domain instances

Strong ITBM configuration & administration experience (Ideation, Demand, PPM, Resource Management)

Hands‑on working knowledge of CMDB / CSDM

Facilitate and support Change Management (including CAB meetings)

Process RITMs, Incidents, and operational tickets

Develop reports, dashboards, and templates (e.g., Incident templates)

ServiceNow System Administrator Certification

ServiceNow Developer Certification

Strong communication skills (oral & written)

Ability to translate business requirements into workable ServiceNow solutions

Experience creating & managing Service Catalog items and workflows

Support end‑user requests and provide ongoing assistance

Data analysis skills (interpretation & reporting)

Ability to interact with internal customers to scope solutions and workflows

Audit Change tickets as per Change Management policies

Working knowledge of Agile methodology

Ability to break down requirements, demo dashboards/reports to users

Ability to manage multiple client requests with prioritization

Strong client‑interaction and relationship‑building skills

Join a workplace where innovation meets comfort. At our software company, we blend meaningful work with a flexible, growth-focused environment. Great people, supportive culture, and everything you need to thrive – all in one place

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

• Guiding team member for handling technical challenges
• Conducting training sessions
• Handling user issues and providing corrective solution
• Fixing of the vulnerabilities and Upgrades of new stable version
• Sustenance and maintenance of Archer tool
• Good scripting knowledge

• Certified RSA Archer Professional, Internal Audit & Controls, Risk (Threat), ISO 27001
• Minimum of 5 years’ experience in the respective field
• Experience of managing a GRC Team
• Strong experience of implementation, commissioning and enhancement of modules of GRC Product
• Strong Understanding of Process workflows, Identifying the manual workflows
• Expertise in configuring GRC tool (Archer)
• Experience with all SDLC activities related to GRC program implementation

Minimum Qualifications:

• Minimum 5 years of experience with Java platform and technologies.
• Minimum 5 years of experience with HTML5, CSS and Angular.
• Experience with enterprise level application design and development is a must.
• Expert level knowledge in Java Spring framework, JHipster, PostgreSQL, HTML5, Angular, CSS
• Must have previously worked in an environment using version control systems such as Bitbucket.
• Good knowledge of RDBMS such as Postgres and MySQL. Should be proficient in SQL and assessing performance of queries. Some ability to monitor and maintain the database is needed.
• Experience with AWS RDS is MUST.
• Minimum 3 years of experience deploying Java applications on the AWS cloud.
• Ability to handle front-end development (Angular JS) is a MUST.
• Experience working with Monday, Atlassian project management tools (JIRA/Bitbucket/Confluence) or similar is a must.