Role Summary: The Assistant Manager - HR will manage core HR functions, recruitment, attendance monitoring, employee communication, engagement, HR metrics, and compliance. This role requires a detail-oriented professional with strong interpersonal skills, empathy, and a solution-oriented mindset to support organizational goals effectively. Key Responsibilities: Core HR Operations: Manage payroll, employee benefits, leave records, attendance tracking, and HR databases. Address employee queries and ensure timely resolution with empathy and professionalism. Attendance Monitoring: Oversee and manage employee attendance records, ensuring accuracy and compliance with company policies. Generate regular attendance reports and address discrepancies proactively. Recruitment and Onboarding: Handle end-to-end recruitment, from sourcing to hiring. Develop job descriptions and manage postings. Ensure smooth onboarding of new hires. Employee Engagement and Communication: Plan and execute employee engagement initiatives to foster a positive workplace culture. Act as a communication bridge between employees and management, providing empathetic and effective solutions to concerns. HR Metrics and Analytics: Track and analyse HR metrics like attrition and satisfaction rates. Provide actionable insights for strategic HR decisions. Compliance and Policy Management: Ensure adherence to labour laws and company policies. Regularly update policies and manage compliance documentation. Qualifications and Skills: MBA - HR Minimum 3 years of HR experience, including recruitment, compliance, and attendance management. Strong knowledge of labour laws and HR software. Excellent communication, problem-solving, and multitasking abilities. Empathy and a solution-oriented mindset to address challenges and support employees effectively. Social Media savvy.

Key Responsibilities: Client Engagement & Technical Consultation: Interact with current and prospective clients to understand their business challenges and technical requirements. Present our service capabilities and solution approaches in a clear, compelling manner. Collaborate with internal teams to design and communicate tailored technical solutions. Translate complex technical concepts into business-friendly language. Project Coordination & Onboarding: Support the transition from client engagement to project execution. Work closely with project managers and technical leads to ensure alignment on scope, timelines, and deliverables. Maintain communication with clients during early project phases to ensure satisfaction and clarity. Partnership Development: Identify and evaluate potential technology and delivery partners. Establish and manage strategic partnerships to enhance our service delivery capabilities. Negotiate collaboration agreements and maintain long-term partner relationships. Thought Leadership & Market Awareness: Stay informed about industry trends, emerging technologies, and competitive landscape. Contribute to the development of marketing and technical collateral (case studies, whitepapers, etc.). Represent the company at industry events, webinars, and client meetings. Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, MBA or a related field. 10+ years of experience in a client-facing technical role such as solution consulting, technical account management, or delivery management. Strong knowledge of AI/ML, DevOps practices, cloud platforms (AWS, Azure, GCP), and software testing. Excellent communication, presentation, and interpersonal skills. Proven ability to manage multiple stakeholders and drive technical discussions. Experience in project coordination or delivery oversight. Preferred Skills: Background in software outsourcing or IT services. Certifications in cloud platforms or project management (e.g., PMP, AWS Solutions Architect) are a plus.

6+ years of experience which atleast 3 years in managing projects for ULB. Roles and Responsibilities Develop project plans, resource allocation, and budgeting to achieve project goals. Coordinate with cross-functional teams to identify and mitigate risks, resolve issues, and improve overall performance. Monitor progress against milestones and deliverables, making adjustments as needed to ensure successful project outcomes. Ensure effective communication among stakeholders through regular reporting on project status.

Key Responsibilities: Client Engagement & Technical Consultation: Interact with current and prospective clients to understand their business challenges and technical requirements. Present our service capabilities and solution approaches in a clear, compelling manner. Collaborate with internal teams to design and communicate tailored technical solutions. Translate complex technical concepts into business-friendly language. Project Coordination & Onboarding: Support the transition from client engagement to project execution. Work closely with project managers and technical leads to ensure alignment on scope, timelines, and deliverables. Maintain communication with clients during early project phases to ensure satisfaction and clarity. Partnership Development: Identify and evaluate potential technology and delivery partners. Establish and manage strategic partnerships to enhance our service delivery capabilities. Negotiate collaboration agreements and maintain long-term partner relationships. Thought Leadership & Market Awareness: Stay informed about industry trends, emerging technologies, and competitive landscape. Contribute to the development of marketing and technical collateral (case studies, whitepapers, etc.). Represent the company at industry events, webinars, and client meetings. Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, MBA or a related field. 10+ years of experience in a client-facing technical role such as solution consulting, technical account management, or delivery management. Strong knowledge of AI/ML, DevOps practices, cloud platforms (AWS, Azure, GCP), and software testing. Excellent communication, presentation, and interpersonal skills. Proven ability to manage multiple stakeholders and drive technical discussions. Experience in project coordination or delivery oversight. Preferred Skills: Background in software outsourcing or IT services. Certifications in cloud platforms or project management (e.g., PMP, AWS Solutions Architect) are a plus.

6+ years of experience which atleast 3 years in managing projects for ULB. Roles and Responsibilities Develop project plans, resource allocation, and budgeting to achieve project goals. Coordinate with cross-functional teams to identify and mitigate risks, resolve issues, and improve overall performance. Monitor progress against milestones and deliverables, making adjustments as needed to ensure successful project outcomes. Ensure effective communication among stakeholders through regular reporting on project status.

Minimum Job Requirements: Bachelor's degree in Technology (B Tech) or Masters in Computer Application (MCA) or related field with minimum of 6 years experience 6+ years of relevant software development experience creating business applications with Java and relational database systems. Experience in application design and development, providing solutions on performance, security, scalability, responsive web design, localization, usability, and accessibility. Application development experience using C,C++. Agile/Scrum and DevOps practices. Essential Job Duties and Responsibilities: Coordinates and develops project concepts, objectives, specifications and resource needs. Prepares design specifications, analyses and recommendations. Use current programming language and technologies to provide creative, thorough and practical solutions to a wide range of technical problems. Design develop and test applications and programs to support the companys products Design develop and test software programs following established quality standards and in accordance with internal engineering procedures including coding, unit testing and software configuration control Complete high- and low-level detailed software design specifications, storyboards and interface specifications Provide support of products through conception to product delivery including problem solving, defect maintenance and support to customer services Prepare reports, manuals, procedures and status reports Participate and work with team members in code reviews and make necessary improvements in code

Infrastructure & Platform Development Design and implement end-to-end MLOps pipelines for model lifecycle management, from experimentation to production deployment Build and maintain cloud-native infrastructure for training, serving, and monitoring ML models at scale Model Deployment & Serving Deploy diverse model types including deep learning, traditional ML, transformers, and ensemble models Implement real-time and batch inference systems with appropriate scaling strategies Agentic AI Systems Design deployment architectures for autonomous AI agents and multi-agent systems Implement RAG (Retrieval-Augmented Generation) pipelines with vector databases Required Qualifications & Experience Cloud Platforms : 3+ years of production experience with at least one major cloud platform (AWS, Azure, GCP) AWS: SageMaker, EC2, Lambda, ECS/EKS, S3, CloudFormation Azure: Azure ML, AKS, Azure Functions, Blob Storage, ARM templates GCP: Vertex AI, GKE, Cloud Functions, Cloud Storage, Deployment Manager Containerization & Orchestration : Advanced proficiency in Docker and Kubernetes Experience with Helm charts, custom operators, and service mesh Infrastructure & DevOps Strong experience with Infrastructure as Code (Terraform, Pulumi, CDK) Proficiency in CI/CD tools (Jenkins, GitLab CI, GitHub Actions, Azure DevOps) Experience with observability stacks (Prometheus, Grafana, ELK, DataDog) Knowledge of message queuing systems (Kafka, RabbitMQ, cloud-native solutions) Understanding of networking, security, and IAM best practices ML/AI Knowledge Solid understanding of ML algorithms, model evaluation metrics, and optimization techniques Experience with distributed training frameworks (Horovod, Ray, DeepSpeed) Knowledge of model compression techniques (quantization, pruning, knowledge distillation) Understanding of fairness, bias detection, and explainability in ML systems Preferred Qualifications Advanced Agentic AI Experience Hands-on experience with LLM deployment and optimization (GPT, LLaMA, Claude APIs) Experience with agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) Knowledge of vector databases (Pinecone, Weaviate, Qdrant, ChromaDB)