AVP Engineering

Job Title: Project Manager – Environmental / Solid Waste Management

Location: Mumbai (Thane preferred)

Industry: Manufacturing / Environmental Services

Experience: 7–10 Years

Qualification: BE – Civil / Environmental Engineering

Job Description

• Lead and manage environmental and solid waste management projects end-to-end
• Prepare project plans, schedules, budgets, and resource allocation
• Coordinate with internal teams, consultants, contractors, and vendors
• Monitor project progress, costs, timelines, and quality standards
• Identify project risks and implement mitigation plans
• Ensure compliance with HSE norms, environmental regulations, and statutory requirements
• Manage multiple projects simultaneously and ensure timely delivery

Key Skills Required

• Project Management
• Solid Waste Management
• Environmental Compliance
• Budgeting & Cost Control
• Resource Planning
• Risk Management
• Stakeholder Coordination
• HSE Compliance

Candidate Profile

• BE in Civil or Environmental Engineering (mandatory)
• 8–10 years of experience in environmental / waste management projects
• Experience in manufacturing, EPC, or environmental consulting preferred
• Strong leadership, communication, and problem-solving skills

Keywords for Naukri Search

Project Manager, Environmental Engineer, Solid Waste Management, Waste Management Projects, HSE, Environmental Compliance, Civil Engineer, Zero Dumping, EPC Projects

Job Description:

• He / She candidate must possess a strong technology background with advanced knowledge of Java and Python based technology stack.
• Java, JEE, Spring MVC, Python, JPA, Spring Boot, REST API, Database, Playwright, CI/CD pipelines
• * At least 3 years of Hand-on Java EE and Core Java experience with strong leadership qualities.
• * Experience with Web Service development, REST and Services Oriented Architecture.
• * Expertise in Object Oriented Design, Design patterns, Architecture and Application Integration.
• * Working knowledge of Databases including Design, SOL proficiency.
• * Strong experience with frameworks used for development and automated testing like SpringBoot, Junit, BDD etc.
• * Experience with Unix/Linux Operating System and Basic Linux Commands.
• * Strong development skills with ability to understand technical design and translate the same into workable solution.
• * Basic knowledge of Python and Hand-on experience on Python scripting
• * Build, deploy, and monitor applications using CI/CD pipelines, * Experience with agile development methodology.
• Good to Have - Elastic Index Database, MongoDB. - No SQL Database Docker Deployments, Cloud Deployments Any Al ML. snowflake Experience
• 
  

Job Title: Franchise Sales Manager

Company: BikeFixup

Location: Faridabad, Haryana (Work from Office)

Employment Type: Full-Time (6 Days Working)

About BikeFixup:

BikeFixup is a premium two-wheeler repair and servicing brand offering pickup and drop services. With a strong focus on quality and convenience, we have successfully delivered over 50,000 serviced vehicles and are now expanding our presence through franchise partnerships across India.

Job Summary:

BikeFixup is looking for an ambitious and results-driven Franchise Sales Manager to lead the expansion of our franchise network. The ideal candidate will be responsible for identifying, attracting, and onboarding potential franchisees, ensuring sustainable growth for BikeFixup.

Key Responsibilities:

• Franchise Development: Identify and approach potential franchise partners to expand BikeFixup’s network.
• Lead Generation & Conversion: Develop and execute strategies to generate leads, nurture relationships, and convert prospects into franchise owners.
• Pitching & Presentations: Conduct compelling presentations and meetings with prospective franchisees to communicate BikeFixup’s business model, financials, and benefits.
• Negotiation & Deal Closure: Guide franchise prospects through the agreement process, ensuring smooth onboarding.
• Market Research & Expansion Strategy: Analyze market trends, competition, and demand to determine optimal locations and expansion strategies.
• Franchisee Support & Onboarding: Collaborate with internal teams to assist new franchise owners with setup, training, and operational guidance.
• Sales Target Achievement: Meet and exceed franchise sales targets and contribute to revenue growth.
• Legal Documentation Signing: Oversee and facilitate the signing of franchise agreements and other legal documents.
• Commercial Discussion: Conduct financial and business negotiations to finalize franchise deals.
• Site Selection: Assist franchisees in selecting suitable locations for business setup.
• Business Outfit: Ensure franchisees adhere to branding and operational guidelines for a consistent business image.
• Traveling is a Must: Willingness to travel extensively for franchise meetings and business expansion.

Qualifications & Requirements:

• Experience: 3+ years of experience in franchise sales, business development, or a related field (automobile service industry preferred).
• Education: Bachelor's degree in Business Administration, Sales, Marketing, or a related field.
• Skills: Strong sales and negotiation skills, excellent communication, and relationship management abilities.
• Industry Knowledge: Understanding of franchise models, business expansion, and the two-wheeler service industry is a plus.
• Travel: Willingness to travel for franchise meetings and business expansion.

Perks & Benefits:

• Competitive salary with performance-based incentives
• Opportunity to be part of a growing and premium brand
• Career growth and leadership opportunities
• Work from office with a structured environment (6 Days Working)

If you're passionate about business expansion and have the drive to take BikeFixup to new heights, we'd love to hear from you!

Customer Support Roles

1. Customer Support Representative: Handles customer inquiries, resolves issues, and provides product information via phone, email, or chat. Should be good in English and Hindi

2. Customer Service Agent: Provides assistance and support to customers, answering questions and resolving concerns in a timely and professional manner.

3. Help Desk Support: Troubleshoots and resolves technical issues for customers, providing timely and effective solutions.

Chat Process Roles

1. Chat Support Agent: Responds to customer inquiries and resolves issues via live chat, providing quick and accurate solutions.

2. Live Chat Representative: Engages with customers in real-time, addressing their concerns and providing support through live chat platforms.

3. Virtual Customer Support Agent: Handles customer support requests via chat, email, or social media, providing timely and effective solutions.

Key Skills

- Excellent communication and interpersonal skills

- Strong problem-solving and analytical skills

- Ability to work in a fast-paced environment

- Patience and empathy when dealing with customer issues

- Strong product knowledge and understanding of company policies

Remote Job Opportunity

Job Title: Data Scientist

Contract Duration: 6 months+

Location: offshore India

Work Time: 3 pm to 12 am

Must have 4+ Years of relevant experience.

Job Summary:

We are seeking an AI Data Scientist with a strong foundation in machine learning, deep learning, and statistical modeling to design, develop, and deploy cutting-edge AI solutions.

The ideal candidate will have expertise in building and optimizing AI models, with a deep understanding of both statistical theory and modern AI techniques. You will work on high-impact projects, from prototyping to production, collaborating with engineers, researchers, and business stakeholders to solve complex problems using AI.

Key Responsibilities:

Research, design, and implement machine learning and deep learning models for predictive and generative AI applications.

Apply advanced statistical methods to improve model robustness and interpretability.

Optimize model performance through hyperparameter tuning, feature engineering, and ensemble techniques.

Perform large-scale data analysis to identify patterns, biases, and opportunities for AI-driven automation.

Work closely with ML engineers to validate, train, and deploy the models.

Stay updated with the latest research and developments in AI and machine learning to ensure innovative and cutting-edge solutions.

Qualifications & Skills:

Education: PhD or Master's degree in Statistics, Mathematics, Computer Science, or a related field.

Experience:

4+ years of experience in machine learning and deep learning, with expertise in algorithm development and optimization.

Proficiency in SQL, Python and visualization tools ( Power BI).

Experience in developing mathematical models for business applications, preferably in finance, trading, image-based AI, biomedical modeling, or recommender systems industries

Strong communication skills to interact effectively with both technical and non-technical stakeholders.

Excellent problem-solving skills with the ability to work independently and as part of a team.

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

We are looking for a talented Social media manager to administer our social media accounts. You will be responsible for creating original text and video content, managing posts and responding to followers. You will manage our company image in a cohesive way to achieve our marketing goals.

As a Social media manager, we expect you to be up-to-date with the latest digital technologies and social media trends. You should have excellent communication skills and be able to express our company’s views creatively.

Ultimately, you should be able to handle our social media presence ensuring high levels of web traffic and customer engagement.

• Perform research on current benchmark trends and audience preferences
• Design and implement social media strategy to align with business goals
• Set specific objectives and report on ROI
• Generate, edit, publish and share engaging content daily (e.g. original text, photos, videos and news)
• Monitor SEO and web traffic metrics
• Collaborate with other teams, like marketing, sales and customer service to ensure brand consistency
• Communicate with followers, respond to queries in a timely manner and monitor customer reviews
• Oversee social media accounts’ design (e.g. Facebook timeline cover, profile pictures and blog layout)
• Suggest and implement new features to develop brand awareness, like promotions and competitions
• Stay up-to-date with current technologies and trends in social media, design tools and applications

• Proven work experience as a Social media manager
• Hands on experience in content management
• Excellent copywriting skills
• Ability to deliver creative content (text, image and video)
• Solid knowledge of SEO, keyword research and Google Analytics
• Knowledge of online marketing channels
• Familiarity with web design
• Excellent communication skills
• Analytical and multitasking skills
• BSc degree in Marketing or relevant field