Key Responsibilities
Own the end-to-end delivery lifecycle of IT products, from ideation to deployment and
support.
Act as the bridge between stakeholders, product, and engineering teams, translating
business needs into clear product requirements.
Develop and maintain the product roadmap, backlog, and release plans.
Define and prioritize user stories, acceptance criteria, and deliverables.
Ensure projects are delivered on time, within scope, and aligned to compliance and
quality standards.
Facilitate Agile/Scrum ceremonies (planning, reviews, retrospectives, stand-ups).
Manage risks, issues, dependencies, and change requests proactively.
Collaborate with QA, engineering, DevOps, and compliance teams to ensure regulatory
adherence (GDPR, HIPAA, ISO, SOC, etc.) where applicable.
Drive and maintain audit readiness, compliance checklists, and governance reporting.
Track delivery progress and provide status and compliance reporting to leadership and
stakeholders.
Drive continuous improvement, process optimization, and adherence to best practices
across delivery teams.
Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Technology, Business,
or related field.
5+ years of experience in project management, product ownership, or delivery
management.
Proven experience in end-to-end delivery of IT products with compliance oversight.
Strong knowledge of Agile / Scrum / Kanban methodologies.
Proficiency in project management and reporting tools (e.g., Jira, Confluence, MS
Project, Power BI, Tableau).
Experience in preparing and maintaining compliance, audit, and progress reports.
Excellent stakeholder management, leadership, and communication skills.
Strong problem-solving, analytical, and decision-making skills.
Preferred / Nice-to-Have
Certification in Agile / Scrum (CSPO, CSM, PSM, SAFe, PMP, Prince2, etc.).
Experience in software product companies, SaaS, or enterprise IT environments.
Exposure to DevOps practices, cloud platforms (AWS, Azure, GCP).
Prior experience in regulatory compliance, reporting automation, and governance
frameworks.
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Key Responsibilities
Design, implement, and optimize AI/ML models for production use.
Work on Generative AI (LLMs, diffusion models, transformers, etc.) to build scalable
solutions.
Develop and integrate RAG pipelines for intelligent information retrieval.
Implement and optimize Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.) for
semantic search and storage.
Create and fine-tune embeddings for text, images, and multi-modal tasks.
Develop and integrate Agentic AI systems with tool orchestration, planning, and
reasoning.
Work with MCP (Model Context Protocol) for secure and structured AI integrations.
Collaborate with product, data, and engineering teams to deliver robust AI solutions.
Stay up-to-date with the latest AI/ML research, frameworks, and industry trends.
Required Skills & Qualifications
Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related field.
2–3 years of hands-on experience in AI/ML engineering.
Strong understanding of machine learning algorithms, deep learning, and NLP.
Experience with Gen AI frameworks (LangChain, LlamaIndex, Haystack, etc.).
Practical knowledge of RAG architecture and pipeline design.
Hands-on experience with Vector Databases (e.g., Pinecone, FAISS, Weaviate, Milvus).
Strong skills in Python, PyTorch, TensorFlow, or Hugging Face Transformers.
Familiarity with Agentic AI frameworks (LangGraph, AutoGPT, CrewAI, etc.).
Experience in MCP (Model Context Protocol) and secure LLM integrations.
Knowledge of cloud platforms (AWS, GCP, Azure) and deployment practices.
Strong problem-solving skills, analytical thinking, and communication abilities.
Preferred Skills (Nice to Have)
Exposure to MLOps (MLflow, Kubeflow, Vertex AI, SageMaker).
Experience in multi-modal AI (text, image, audio).
Knowledge of containerization (Docker, Kubernetes).
Understanding of security best practices in AI/ML systems.
Contributions to open-source AI/ML projects.
#JobOpening #Hiring #JobSearch #NowHiring #CareerOpportunity #Employment #JobOpportunity #JobListing #JobPosting #JobAlert #recruitmentIf interested can forward your updated resumes on hr5@tasolutions.in and can directly contact us on
9041287949also can provide our reference to your friends and colleagues.
Responsibilities:
* Managing HR Systems & Data: Overseeing and maintaining HR operating systems, ensuring data accuracy and integrity, and managing the flow of HR information.
* Compliance: Ensuring adherence to all relevant labor laws and regulations, including payroll, benefits, and other HR-related compliance.
* Employee Relations: Addressing employee queries, providing support on HR matters, and resolving employee issues.
* HR Policies & Procedures: Developing, implementing, and updating HR policies and procedures to ensure consistency and compliance.
* Recruitment & Onboarding: Supporting the recruitment process, ensuring timely and effective onboarding of new hires.
* Employee Benefits : Managing employee benefits programs, ensuring accurate communication and administration of benefits.
* Performance Management : Supporting the performance management process, providing guidance to managers and employees.
* HR Reporting & Analysis: Monitoring key HR metrics, generating reports, and analyzing data to identify trends and areas for improvement.
* Project Management : Managing HR projects and initiatives, contributing to the continuous improvement of HR processes.
* Training & Development: Providing training and support to managers and employees on HR policies and procedures.
Requirements :
* Bachelor’s degree in HR or related field.
* 1–3 years of HR experience (preferably in sales/finance).
* Proficiency in MS Office and HRMS tools.
#JobOpening #Hiring #JobSearch #NowHiring #CareerOpportunity #Employment #JobOpportunity #JobListing #JobPosting #JobAlert #recruitment
If interested can forward your updated resumes on hr5@tasolutions.in and can directly contact us on 9041287949 also can provide our reference to your friends and colleagues.