Technical Project Manager

Job Title: Technical Project Manager (AI-NLP)

Location: Chennai ( Adyar)

Work Mode: In Office

Job Summary:

We are seeking a highly skilled and experienced Technical Project Manager with hands-on

expertise in Python development and a track record of successfully managing AI-NLP projects. The ideal candidate must have a minimum of 3-4 years of hands-on experience in AI-NLP projects and a total of 8-10 years of professional experience.

As a Technical Project Manager, you will play a pivotal role in leading, coordinating, and delivering complex AI-NLP initiatives. Your responsibilities will include overseeing project lifecycles, managing technical teams, and ensuring the successful execution of projects.

Roles and Responsibilities:

1. Project Management: Lead end-to-end management of AI-NLP projects, including planning, execution, and delivery, ensuring projects are completed on time and within budget.
2. Technical Expertise: Apply hands-on experience in Python development and AI-NLP techniques to provide technical guidance, solve complex problems, and make informed decisions.
3. Team Management: Build and lead cross-functional project teams, ensuring alignment with project goals, and providing mentorship and support to team members.
4. Requirements Analysis: Collaborate with stakeholders to gather and define project requirements, translating them into technical tasks and deliverables.
5. Risk Management: Identify project risks and develop mitigation strategies to ensure successful project outcomes.
6. Quality Assurance: Oversee testing and quality control processes to maintain high-quality AI-NLP solutions.
7. Resource Allocation: Manage project resources effectively, including personnel, hardware, and software, to optimize project productivity.
8. Communication: Foster clear and consistent communication among team members and stakeholders, including project status updates and issue resolution.
9. Documentation: Maintain comprehensive project documentation, including technical specifications, project plans, and progress reports.
10. Budget Control: Monitor project budgets, track expenditures, and ensure cost-effective project execution.
11. Continuous Improvement: Identify opportunities for process improvement, best practices, and innovative technologies to enhance project performance.
12. Client Engagement: Interact with clients, ensuring their needs and expectations are met, and managing project scope changes.

Technical Capabilities:

• Hands-on Python Development: Proficiency in Python, including the ability to develop and review code, troubleshoot technical issues, and guide development teams.
• AI-NLP Expertise: In-depth knowledge and experience in Natural Language Processing (NLP) techniques, libraries, and frameworks (e.g., NLTK, spaCy, Transformers).
• Machine Learning: Understanding of machine learning concepts and their application in AI-NLP projects.
• Data Management: Familiarity with data preprocessing, data pipelines, and data management in NLP projects.
• Cloud and Infrastructure: Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as it pertains to AI-NLP projects.

Team Management Skills:

• Leadership: Proven ability to lead and motivate technical teams, fostering a collaborative and high-performance culture.
• Project Planning: Strong project planning and organizational skills, with the ability to define objectives, scope, and resource requirements.
• Conflict Resolution: Skill in managing conflicts and resolving issues among team members.
• Communication: Excellent verbal and written communication skills for effective team and stakeholder engagement.
• Training and Mentorship: Capability to train and mentor team members, share knowledge, and promote professional development.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• PMP, Scrum Master, or other relevant project management certification is a plus.
• Proven experience in managing AI-NLP projects, with a strong technical background in Python development.
• Solid understanding of AI-NLP technologies, frameworks, and methodologies.
• Strong analytical and problem-solving skills.
• Client-focused mindset with a commitment to quality and delivery.

If you meet these qualifications and are passionate about driving AI-NLP projects to success while leveraging your technical skills and project management expertise, we encourage you to apply for this position.