Area Sales Manager

Role Overview:

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.

Key Responsibilities:

1. Data Analysis & Visualization:

• Develop and manage data pipelines, ensuring data accuracy and integrity.
• Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.
• Extract and analyze complex data sets using SQL to generate actionable insights

2 Machine Learning & AI Models:

• Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.
• Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.
• Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.

3 Automation & Innovation:

• Use AI to streamline document verification, data extraction, and customer interaction processes.
• Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems.
• Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or related field.
• 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.
• Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.
• Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.
• Strong problem-solving skills, with the ability to work independently and in teams.
• Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.

If you’re excited about leveraging data and AI to solve real-world problems, we’d love to have you on our team!

AuxoAI is hiring a Senior Applied AI Engineer to design and deploy production-grade computer vision systems that operate reliably in real-world environments.

This role focuses on building end-to-end visual intelligence systems, combining deep learning, classical computer vision techniques, and multimodal models. It is not limited to model training and requires strong ownership of system design, deployment, and real-world performance.

You will work on systems that perform perception, understanding, and reasoning over visual data, and integrate these capabilities into larger AI platforms and agent-based workflows.

You will also work on problems where existing approaches may not be sufficient, and will be expected to combine deep learning, geometric methods, and multimodal reasoning to build robust, production-grade systems.

Location – Mumbai / Bangalore / Hyderabad / Gurgaon (Hybrid – 3 days per week in office)

Responsibilities:

• Design and deploy computer vision systems for tasks such as:
• Object detection, segmentation, and tracking
• Scene understanding and structured perception
• Video understanding and temporal reasoning
• Build and optimize models using architectures such as:
• CNNs (ResNet, EfficientNet)
• Vision Transformers (ViT, Swin, DeiT)
• Detection/segmentation models (YOLO, DETR, Mask R-CNN)
• Develop multimodal systems combining vision and language:
• CLIP-style models
• Vision-language models (VLMs)
• Visual grounding and captioning systems
• Implement algorithms for:
• Multi-object tracking (SORT, DeepSORT, ByteTrack)
• Feature matching and representation learning
• Temporal modeling (RNNs, Transformers for video)
• Apply geometric and classical computer vision methods where relevant:
• Camera calibration
• Epipolar geometry
• Pose estimation
• 3D reconstruction or depth estimation
• Optimize systems for:
• Low-latency, real-time inference
• Throughput and scalability
• Edge and distributed deployment
• Design and build data pipelines for:
• Annotation workflows
• Dataset curation
• Synthetic data generation
• Integrate vision systems into:
• Multimodal AI pipelines
• Agent-based systems
• Decision-making workflows

Requirements:

• 5+ years of experience building computer vision systems in production environments
• Strong experience with deep learning frameworks (PyTorch / TensorFlow)
• Hands-on experience with:
• Detection, segmentation, or tracking systems
• Model training, fine-tuning, and evaluation
• Strong understanding of:
• Representation learning
• Loss functions (contrastive loss, focal loss, etc.)
• Evaluation metrics (mAP, IoU, precision/recall)
• Experience building and deploying end-to-end vision systems, not just training models

Candidates whose primary experience is limited to academic projects or model experimentation without real-world deployment may not be a fit for this role.

Nice to Have:

• Experience with multimodal systems (vision + language)
• Familiarity with models such as:
• CLIP, BLIP, Flamingo, or similar
• Experience with 3D vision:
• NeRFs
• SLAM
• Point clouds
• Experience with video understanding:
• Action recognition
• Event detection
• Experience building data engines:
• Active learning
• Hard negative mining
• Experience working with large-scale datasets and distributed training pipelines

Please upload your resume here: https://magicworksitsolutions.com/google-ads-expert-scaling-level-projects/

Job Description:

We are seeking a highly skilled Google Ads Expert to lead, optimize, and scale our paid advertising campaigns to drive business growth. The ideal candidate will have extensive experience managing high-budget Google Ads accounts, implementing advanced strategies, and optimizing campaigns for performance at scale. You will play a critical role in maximizing ROI, automating processes, and ensuring continuous revenue growth.

Experience: 3-5+ years

Qualification: Google Ads Certifications (Search, Display, Video, Shopping, etc.)., Experience with eCommerce, SaaS, or lead generation scaling strategies, Knowledge of Python or JavaScript for Google Ads automation is a plus.

Key Responsibilities:

1. Google Ads Strategy & Execution

• Develop and execute high-level Google Ads strategies for scaling campaigns.

• Manage and optimize large-budget campaigns across Search, Display, YouTube, Performance Max, and Shopping Ads.

• Implement advanced audience targeting, including first-party data, remarketing, and lookalike audiences.

• Utilize AI-driven bidding strategies and automation to enhance ad performance.

2. Performance Optimization & Scaling

• Continuously analyze campaign data to improve CTR, Quality Score, and Conversion Rates.

• A/B test ad creatives, copy, bidding strategies, and landing pages to maximize ROI.

• Scale campaigns effectively without compromising cost efficiency.

• Identify and leverage new growth opportunities within Google Ads.

3. Advanced Tracking & Analytics

• Set up and manage Google Tag Manager, Google Analytics 4 (GA4), and conversion tracking.

• Implement and optimize Enhanced Conversions and Offline Conversion Tracking.

• Generate detailed reports on key KPIs, providing insights and recommendations for growth.

4. Automation & AI-Driven Strategies

• Leverage scripts, rules, and API integrations to automate campaign management.

• Optimize Performance Max campaigns using AI-driven insights.

• Develop dynamic ad creatives using automation and feed-based strategies.

5. Cross-Channel Growth & Integration

• Coordinate Google Ads with Facebook Ads, TikTok Ads, LinkedIn Ads, and other digital platforms for cohesive marketing strategies.

• Work closely with the content, design, and development teams to optimize landing pages for conversions.

• Monitor competition and industry trends to stay ahead of the curve.

Requirements:

• 3-5+ years of experience managing large-scale Google Ads campaigns.

• Proven success in scaling campaigns beyond six and seven figures in ad spend.

• Strong analytical skills and experience with GA4, Google Tag Manager, and Data Studio.

• Deep understanding of bidding strategies, Quality Score, and conversion optimization.

• Experience with Performance Max, Shopping Ads, and AI-driven campaign automation.

• Familiarity with Google Ads scripts, API integrations, and automation tools.

• Strong proficiency in A/B testing, audience segmentation, and CRO (Conversion Rate Optimization).

• Excellent communication skills and ability to collaborate with cross-functional teams.

Preferred Qualifications:

• Google Ads Certifications (Search, Display, Video, Shopping, etc.).

• Experience with eCommerce, SaaS, or lead generation scaling strategies.

• Knowledge of Python or JavaScript for Google Ads automation is a plus.

Benefits:

• Competitive salary with performance-based bonuses.

• Opportunity to work on high-scale, fast-growing campaigns.

• Continuous learning and access to the latest tools and training.

• Flexible working environment and career growth opportunities.

• Must have 4-5 years of experience in Web Development & Mobile Apps project, digital marketing projects acquisition & closing.
• Sound technical knowledge of advanced Web/Mobile/digital marketing technologies trending today.
• Explore & target new business leads & opportunities in software/mobile/web development domain (US/UK markets) through different-2 channels [Online Bidding Portals /Social Media etc.]
• Must be analytical enough to understand project requirements and prepare the detailed proposal, pre-sales discussions, negotiations, closing the sales and handing over the client to the delivery team.
• Build and maintain excellent relationships with clients and prepare convincing write-ups/ messages.
• Identify, create and pursue new business opportunities and clients.
• Should have the experience in handling the lead generation team, motivate them, support them for qualified leads.
• Should be flexible working hours when required.
• Self-motivated to meet sales target regularly.
• Strong negotiation skills.
• Able to propose project budgeting to the client.
• Excellent verbal and written English skills for effective communication with overseas clients.

Required Candidate profile: 

• Must have experience of Marketing / Business development or Client generation in Web, Mobile application using PHP, React Native from international market. 

• Responsible for Research & Generating Quality Leads for Web, Mobile development by Outbound calls, Emails, creating required documents. 

• Follow-up with Generated Leads. 

• You will be responsible for identifying opportunities, evaluating its fit with the company vision, negotiating and closing deals. 

• Achieve the assigned Sales target by Acquisition, Retention & Renewal. 

• An input into the sales strategy - You will constantly keep upgrading your business development techniques. 

• Candidate with Excellent Communication, Presentable Personality. 

• Experience of forecasting, budgeting expenses and ensuring sales achievement. 

• Experience in handling a team of 4+ members. 

Key Skills:

1. One or more of Python/PHP/Ruby/NodeJS/Java

2. Sound object-oriented skills, including strong design patterns knowledge

2. REST APIs

3. MVC architecture

4. MySQL/PostgreSQL

5. Exp with at least 1 NoSQL databases MongoDB/Memcache/Redis/

6. Exp with search technologies Elasticsearch/Solr

7. Exp building messaging based asynchrounous systems RabbitMQ/Kafka/SQS/Celery will be added advantage

8. Exp with Django/Flask frameworks will be added advantage

9. Knowledge of software best practices like Test-Driven Development (TDD) and Continuous Integration (CI) will be added adnavtage

Requirements:

1. Developing software solutions in conjunction with Relational theory, Rest APIs and NoSQL database technologies

2. Knowledge of cloud based technologies in AWS or Azure will be added advantage

3. Understanding of RDBMS technologies like MySQL, PostgreSQL.

4. Hands-on with Version control systems (GIT, SVN) and Unix/Ubuntu.

5. Experience in requirement analysis, HLD, LLD, unit & integration testing.

6. Good hands on experience in debugging application issues

TL;DR

1) Top performer in the company

2) Has worked with product based startup company

3) Ambitious and hardworking