Senior Project Manager

Key Profile -

Ambitious Project Manager with extensive experience in high-end Residential Interiors with demonstrated ability in planning, managing procurement, scheduling, quality control, and coordination of MEP services.

Job Profile -

• Manage Customer communication and Customer experience
• Delivery of Projects as per committed timeline & desired Quality
• To gather and share project information with Project Stakeholders
• Maintain strong relationships with Contractors, Suppliers, and Designers
• Ensure Execution at Sites as per Standard ensure execution process
• Willingness to learn new techniques for tracking projects
• Track & plan Site activities as per Master Project Schedule, identify the risk involved, and plan alternate on-site work execution strategies accordingly
• Verify the bills submitted by Contractors, suppliers post checking on-site measurements of work carried out at the site
• Coach & train Project Executives to ensure all Standard practices are getting followed as far as on-site execution and reporting are concerned.

Requirements

Desired Candidate Skills -

• Strong Communication Skills
• Technical Knowledge of High end Residential Interior Work
• Should be able to manage team of 3-4 people
• Knowledge of current market rates (Material & Labour rates) for various Residential Interior works

Key Responsibilities:

• Strategic Growth Planning: Develop and execute strategies to drive sustainable growth and expansion in alignment with company goals.
• Market Analysis: Conduct thorough market research and analysis to identify new opportunities, market trends, and competitive threats.
• Business Development: Lead initiatives to acquire new business partnerships and opportunities, including identifying potential clients and negotiating agreements.
• Operational Excellence: Streamline and optimize internal processes and workflows to enhance efficiency and productivity.
• Financial Management: Collaborate with finance teams to develop budgets, monitor financial performance, and ensure cost-effectiveness.
• Team Leadership: Provide strong leadership and mentorship to cross-functional teams, fostering a culture of collaboration, innovation, and continuous improvement.
• Performance Metrics: Establish key performance indicators (KPIs) and metrics to track progress towards goals, regularly reporting to senior management.
• Risk Management: Identify potential risks and develop mitigation strategies to ensure business continuity and resilience.

Qualifications:

• Education:  MBA or equivalent from a prestigious institute such as IIM preferred.
• Experience: 4-6 years of progressive experience in business development, operations management, or related fields. Prior experience in a leadership role preferred.
• Analytical Skills: Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
• Communication Skills: Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively at all levels of the organization.
• Strategic Vision: Proven ability to think strategically, anticipate future trends, and translate vision into actionable plans.
• Adaptability: Ability to thrive in a fast-paced environment and effectively manage multiple priorities under tight deadlines.

Job Description

Phonologies is seeking a Senior Data Engineer to lead data engineering efforts for developing and deploying generative AI and large language models (LLMs). The ideal candidate will excel in building data pipelines, fine-tuning models, and optimizing infrastructure to support scalable AI systems for enterprise applications.

Role & Responsibilities

• Data Pipeline Management: Design and manage pipelines for AI model training, ensuring efficient data ingestion, storage, and transformation for real-time deployment.
• LLM Fine-Tuning & Model Lifecycle: Fine-tune LLMs on domain-specific data, and oversee the model lifecycle using tools like MLFlow and Weights & Biases.
• Scalable Infrastructure: Optimize infrastructure for large-scale data processing and real-time LLM performance, leveraging containerization and orchestration in hybrid/cloud environments.
• Data Management: Ensure data quality, security, and compliance, with workflows for handling sensitive and proprietary datasets.
• Continuous Improvement & MLOps: Apply MLOps/LLMOps practices for automation, versioning, and lifecycle management, while refining tools and processes for scalability and performance.
• Collaboration: Work with data scientists, engineers, and product teams to integrate AI solutions and communicate technical capabilities to business stakeholders.

Preferred Candidate Profile

• Experience: 5+ years in data engineering, focusing on AI/ML infrastructure, LLM fine-tuning, and deployment.
• Technical Skills: Advanced proficiency in Python, SQL, and distributed data tools.
• Model Management: Hands-on experience with MLFlow, Weights & Biases, and model lifecycle management.
• AI & NLP Expertise: Familiarity with LLMs (e.g., GPT, BERT) and NLP frameworks like Hugging Face Transformers.
• Cloud & Infrastructure: Strong skills with AWS, Azure, Google Cloud, Docker, and Kubernetes.
• MLOps/LLMOps: Expertise in versioning, CI/CD, and automating AI workflows.
• Collaboration & Communication: Proven ability to work with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Education: Degree in Computer Science, Data Engineering, or related field.

Perks and Benefits

• Competitive Compensation: INR 20L to 30L per year.
• Innovative Work Environment for Personal Growth: Work with cutting-edge AI and data engineering tools in a collaborative setting, for continuous learning in data engineering and AI.

Job description

Key Responsibilities

• Design, develop, and maintain serverless applications using AWS services such as Lambda, API Gateway, DynamoDB, and S3.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Build and maintain RESTful APIs to support web and mobile applications.
• Implement security best practices for AWS services and manage IAM roles and policies.
• Optimize application performance, scalability, and reliability through monitoring and testing.
• Write clean, maintainable, and efficient code following best practices and design patterns.
• Participate in code reviews, providing constructive feedback to peers.
• Troubleshoot and debug applications, identifying performance bottlenecks and areas for improvement.
• Stay updated with emerging technologies and industry trends related to serverless architectures and Python development.

Qualifications

• Bachelors degree in Computer Science, Engineering, or related field, or equivalent experience.
• Proven experience as a Python backend developer, with a strong portfolio of serverless applications.
• Proficiency in AWS services, particularly in serverless architectures (Lambda, API Gateway, DynamoDB, etc.).
• Solid understanding of RESTful API design principles and best practices.
• Familiarity with CI/CD practices and tools (e.g., AWS CodePipeline, Jenkins).
• Experience with containerization technologies (Docker, Kubernetes) is a plus.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Excellent communication skills, both verbal and written.

Preferred Skills

• Experience with frontend technologies (JavaScript, React, Angular) is a plus.
• Knowledge of data storage solutions (SQL and NoSQL databases).
• AWS certifications (e.g., AWS Certified Developer Associate) are a plus.

Brief write up on how you could be a great fit for the role :

What your days and weeks will include.

• Agile scrum meetings, as appropriate, to track and drive individual and team accountability.
• Ad hoc collaboration sessions to define and adopt standards and best practices.
• A weekly ½ hour team huddle to discuss initiatives across the entire team.
• A weekly ½ hour team training session focused on comprehension of our team delivery model
• Conduct technical troubleshooting, maintenance, and operational support for production code
• Code! Test! Code! Test!

The skills that make you a great fit.

• Minimum of 5 years to 10 Years of experience as Eagle Investment Accounting (BNY Mellon product) as a Domain expert/QA Tester.
• Expert level of knowledge in ‘Capital Markets’ or ‘Investment of financial services.
• Must be self-aware, resilient, possess strong communications skills, and can lead.
• Strong experience release testing in an agile model
• Strong experience preparing test plans, test cases, and test summary reports.
• Strong experience in execution of smoke and regression test cases
• Strong experience utilizing and managing large and complex data sets.
• Experience with SQL Server and Oracle desired
• Good to Have knowledge on DevOps delivery model including roles and technologies desired

• Complete and end to end management of training and capability building of learners in each cohort and simultaneously running cohorts
• Deep analysis of weekly progress of each individual learner and planning of remediation
• Being a mentor and guide to each individual learner, driving their strengths and addressing skill gaps so each candidate progresses to our standard of excellence in capability
• Planning and ensuring holistic readiness of all learning infrastructure including courseware, platform, labs, projects, domain based contextual learning and business (soft) skills (with support from content and other functions and leadership teams)
• Managing a team of trainers and other resources such as training assistants for optimum resource utilization and delivering best quality industry-relevant training

• At least 10 years experience in training technical areas in computer science and data engineering or cloud
• Experience in managing trainers and managing training operations
• Clear and up to date understanding of job role requirements, talent requirements, especially in data driven technical job roles
• Strong delivery experience will be an added plus