11+ Social engineering Jobs in Pune | Social engineering Job openings in Pune

Key Responsibilities:

• Plan, create, and manage content across all social media platforms (Facebook, Instagram, LinkedIn, Twitter, etc.).
• Develop and execute social media strategies to increase brand awareness, engagement, and leads.
• Write compelling and engaging content for posts, captions, stories, and short-form campaigns.
• Track performance metrics, analyze trends, and provide actionable insights and reports.
• Collaborate with design, marketing, and sales teams to ensure cohesive branding.
• Stay updated with the latest trends in digital marketing and platform algorithms.
• Utilize AI tools for content creation, scheduling, performance tracking, and idea generation.

Strong Java Developer with hands-on experience in building, deploying, debugging, and supporting Java applications on Kubernetes-based container platforms. 

Focus is on application development and deployment support rather than Kubernetes administration or security management. Experience with JMS/Messaging systems is preferred.

Primary skills required:

• Core Java
• Kubernetes (Application Deployment & Execution)
• Docker & Containerization
• Build & Deployment Support
• scripting can be python also if not java script 

Kubernetes Certified Application Developer (CKAD) certification would be an added advantage.

Job Title: Videographer (Content Creation, Shooting & Editing)

Location: Pune

Experience: 4–6 years

About the Role

We are looking for a talented Videographer to create engaging and high-quality video content for food, lifestyle, and hospitality brands. The role involves end-to-end video production — from planning and shooting to editing and delivering creative content for social media and marketing campaigns.

Key Responsibilities

Content Creation & Production

• Plan, shoot, and edit video content for digital platforms and brand campaigns.
• Capture high-quality visuals of food, interiors, events, and lifestyle moments.
• Adapt videos for multiple platforms (Instagram, YouTube, LinkedIn, etc.).

Creative Development

• Collaborate with the marketing team to conceptualize storytelling ideas.
• Suggest new formats, transitions, and editing styles to enhance engagement.

Editing & Post-Production

• Edit raw footage into polished, narrative-driven videos.
• Perform sound design, color correction, text overlay, and motion effects.
• Maintain consistent visual style and brand aesthetics.

Event Coverage

• Shoot events, pop-ups, collaborations, and influencer activities.
• Deliver highlight reels and real-time behind-the-scenes content when needed.

Team Collaboration & Execution

• Work closely with marketing and social media teams to align content with brand strategy.
• Manage camera equipment, lighting, and shoot logistics independently or with vendors.

Asset Management

• Maintain an organized video library of raw footage and edited content.
• Ensure timely backups and accessibility of all digital assets.

Requirements

• 4–6 years of experience in videography and video editing (preferably in F&B, lifestyle, or digital-first environments).
• Proficiency in Adobe Premiere Pro, Final Cut Pro, After Effects, or similar software.
• Strong knowledge of social-first video formats and trends (Instagram Reels, YouTube Shorts, etc.).
• Hands-on experience with DSLR/mirrorless cameras and basic lighting setups.
• Excellent sense of storytelling, framing, and editing.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.

Selection Process

Final selection will include completion of a short on-site assignment.

job Title: Digital Marketing Ads Specialist

• Location: Amanora Park Town, Hadapsar, Pune
• Employment Type: Full-time, WFO
• Relevant Experience: 5+  years

About A2 Digital

A2 Digital is a full-service digital marketing and advertising company. We work as a trusted marketing partner with the businesses and use data, media & technology to deliver strategic digital marketing and advertising solutions that help them accelerate and achieve sustainable business growth.

We are a team of 75+ highly creative and innovative young professionals passionate about building brands and delivering best-in-class marketing solutions to the businesses. Our team has a unique blend of Marketing, Media & Technology and comprises expert designers, marketers, content writers, videographers, business analysts, strategists and project managers.

Job Summary

We are seeking a highly skilled and experienced Digital Marketing Ads Specialist to join our digital marketing team and manage the PPC and social media advertising campaigns of our clients  to drive online visibility, traffic and conversions.

Responsibilities

• Develop and implement comprehensive digital advertising strategies for real estate clients, focusing on Social Media (Facebook, Instagram, LinkedIn, etc.) and Google Ads (Search, Display, YouTube) to meet their specific goals and objectives.
• Conduct thorough market research and competitor analysis to identify key opportunities and trends within the real estate industry.
• Create and manage compelling and effective ad campaigns, including ad copy, creative assets, targeting parameters, and bid strategies.
• Monitor and optimize campaign performance regularly to ensure KPIs such as click-through rates (CTR), conversion rates, cost per conversion (CPC), and return on ad spend (ROAS) are met and exceeded.
• Collaborate with cross-functional teams, including content creators, designers, and account managers, to ensure alignment in messaging and branding across all digital advertising efforts.
• Stay up-to-date with industry trends, platform updates, and emerging technologies to continuously refine and enhance our advertising strategies.
• Provide insightful reports and analysis on campaign performance, offering recommendations for improvements and adjustments based on data-driven insights.
• Stay informed about changes in algorithms, ad policies, and best practices for various advertising platforms.

Requirements

• Master’s/ Bachelor's degree in Digital Marketing, Marketing,  Advertising, Business, or a related field (or equivalent work experience).
• Proven track record of planning, executing, and optimizing successful digital advertising campaigns, with a focus on Social Media and Google Ads. Experience in real estate marketing is a strong plus.
• In-depth understanding of advertising platforms, including Facebook Ads Manager, Instagram Ads, LinkedIn Ads, Google Ads (Search, Display, YouTube), and other relevant platforms.
• Strong analytical skills and ability to interpret data to drive decisions and optimizations.
• Excellent written and verbal communication skills, with the ability to create compelling ad copy and communicate campaign strategies effectively.
• Proficiency in data analysis tools and platforms, such as Google Analytics, Google Data Studio, or similar tools.
• Detail-oriented mindset with the ability to manage multiple campaigns and projects simultaneously.
• Creative thinking and problem-solving abilities to adapt strategies in a dynamic industry.
• Relevant certifications (e.g., Google Ads certifications) are a plus.

If you meet the above requirements and are passionate about digital marketing, we encourage you to apply for this exciting opportunity.

• This role includes both product and Project management.Involve in Data collection,Data filtering,refining, and sizing huge incidents data.
• Preferred Domain- Telecom
• Good to have Voice, Unified Communication, Contact center, Messaging experience, Application to Person (i.e. integration with WhatsApp,etc.)
• Work closely with the Engineering Team,Customer Business Team, different cross-functional Team to realize a road map of RPA implementation, Starting from requirement gathering, Ideation to Solution design and implementation
• create PDD (Process Design Document) and review SDD (Solution design document),POC development, Solutioning/Sizing/Business Case/Pricing activities
• Work closely with Marketing Team for proposal preparation,Business case development

Position: Operations Manager

Domain: US, Healthcare

Job Description-

Roles & Responsibility

• You will be responsible for handling multiple processes and LOBs.
• Duties may include, taking part in planning, organizing and directing the work of leads or others, strategize and drive leads to execute procedures on work received, to estimate time on new jobs received, to check accuracy/quality of classification done, to ensure records are maintained accurately, and to ensure utilization (or related metrics) of team is high.
• As an operations manager, you would be responsible for managing a team of associates and would have Leads reporting into you.
• Work with various teams to formulate strategy, seek automation opportunities and leverage technologies.
• Work with internal teams to develop creative and best-in-class compliance business processes that can scale up.
  Leverage data to continuously improve.
• Link all the programs to business metrics and build solutions keeping that in mind.
• Scale-up team by proper budgeting and co-owning the budget.
• Attract talent and make right hiring decisions, Onboarding and continuous development of the team and maintain a high delivery bar.
• Deliver business goals for processes handled.
• Operational goals for respective business functions measured under Cycle Time/ Productivity/ Quality/ Cost metrics.
• Mentor and guide lead / Process Expert to manage quality, to improve process efficiency, to minimize variation, and to conceptualize, design & deliver training to the team.
• Co-owner in the process of budget planning.
• Directly managed 5 to 6 process leaders, deputy managers and thus indirectly managed at least 200 plus people organization.
• Possess strong communication and leadership skills
• Able to work in an ambiguous, dynamic & 'internet-speed' environment with tight deadlines, Have an absolute passion for ensuring a great customer experience Possess exceptional skills in data manipulation and analysis
  Outstanding attention to detail; Exceptional problem solving & analytical skills
• Be a self-starter
• Attention to detail and proven ability to manage multiple, competing for priorities simultaneously
• Experience in business process improvement

Experience & Education Qualification:

• Existing Experience as a Sr. Operations Manager is a plus.
• Experience in handling multiple processes and LOBs simultaneously is a plus.
• Graduation is a must.
• MBA is a plus.

Timings

• Fixed shift 7:30pm - 4:30am
• Fixed weekend off.
• No transportation

Looking forward to your response.

Regards,

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning