Inside Sales Manager

Hands-on experience with Microsoft Azure core services including Virtual Machines, storage, networking, and identity management

Strong expertise in Azure RDS / Azure Virtual Desktop (AVD) deployment, configuration, and performance tuning

Solid systems engineering background with Windows Server administration, Active Directory, GPO, DNS, and basic Linux management

Proficiency in automation and scripting, primarily using PowerShell, with working knowledge of Azure CLI and Infrastructure as Code (ARM/Bicep/Terraform)

About the Role

We're looking for a hands-on ML Engineer who combines strong machine learning fundamentals with the backend infrastructure instincts needed to take models from research into reliable, scalable production systems. This role sits at the intersection of cutting-edge generative video AI and the MLOps discipline required to run it at scale.

You'll work closely with backend, platform, and content teams to deliver high-performance ML components under strict quality, latency, and throughput requirements.

Key Responsibilities

• Train, fine-tune, and evaluate generative video and multimodal models (image-to-video, text-to-video, lip-sync, character consistency)
• Build and manage end-to-end ML pipelines: data ingestion, preprocessing, training, evaluation, and versioning
• Own model deployment and serving infrastructure — containerization, GPU-optimized inference, model registries, and rollout strategies
• Implement MLOps best practices: experiment tracking, model monitoring, drift detection, A/B testing, and observability
• Design and maintain scalable inference systems optimized for low latency, high throughput, and cost-efficient GPU utilization
• Develop caching and batching strategies to meet SLA targets in production video generation workflows
• Collaborate with backend engineering teams on integrating ML services into distributed systems
• Contribute to long-term roadmap: foundational model training strategies, LoRA fine-tuning pipelines, and multi-character generalization

Requirements

Required Qualifications

• 4-10 years of experience in Machine Learning / Applied ML Engineering
• Strong fundamentals in deep learning, Transformers, and generative model architectures
• Hands-on experience with model training at scale — including fine-tuning large models (LoRA, full fine-tune) on custom datasets
• Solid MLOps experience: experiment tracking (MLflow, W&B), CI/CD for ML, model versioning, and serving frameworks (Triton, TorchServe, vLLM, or equivalent)
• Strong Python skills and fluency with PyTorch and the modern ML stack
• Experience deploying and operating ML systems in distributed cloud environments (GCP, AWS, or Azure) — GPU provisioning, autoscaling, and cost management
• Comfort working on ambiguous, high-impact problems with cross-functional teams

Preferred Qualifications

• Experience with video generation, diffusion models, or multimodal architectures (DiT, U-Net, audio-video joint models)
• Familiarity with LoRA/IC-LoRA fine-tuning workflows for character or identity consistency
• Experience in media, OTT, sports, or large-scale content platforms
• Knowledge of inference optimization techniques: quantization (FP8/INT8), batching, async orchestration, and GPU memory management
• Exposure to TTS/voice cloning systems or audio-video synchronization pipelines

Benefits

What you get

• Best in class salary: We hire only the best, and we pay accordingly.
• Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
• Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.

About us

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world! We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore. Since 2019, Proximity has created and grown high-impact, scalable products used by 370 million daily users, with a total net worth of $45.7 billion among our client companies.

Today, we are a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale. Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be huge. You’ll have the chance to work with experienced leaders who have built and led multiple tech, product, and design teams.

Upload CV On - https://magicworksitsolutions.com/digital-marketing-manager/

Job description :

A Digital Marketing Manager is responsible for developing, implementing, and managing marketing campaigns that promote a company’s products or services. 

Experience: 3 to 5 years (3 years of experience in digital marketing required)

Qualification: Any graduate or post graduate or MBA in (Marketing/Sales) or related field with an excellent understanding of Digital Marketing.

Key Responsibilities:

1. Strategy Development and Execution

• Develop Digital Marketing Strategies: Create comprehensive marketing plans to achieve business objectives.

• Campaign Management: Plan, execute, and oversee various marketing campaigns across multiple digital channels such as Google Ads, SEO, PPC, social media, email, and content marketing.

• Budget Management: Allocate and manage the marketing budget effectively to maximize ROI.

2. Content Creation and Optimization

• Content Strategy: Develop content strategies that align with marketing goals and target audience needs.

• Content Creation: Oversee the creation of engaging and relevant content for websites, blogs, social media, and email campaigns.

• SEO Optimization: Ensure all content is optimized for search engines to increase organic traffic.

3. Social Media Management

• Platform Management: Manage the companys presence on social media platforms, including content planning and posting.

• Community Engagement: Engage with followers, respond to comments and messages, and monitor online reviews and feedback.

• Social Media Advertising: Create and manage social media ad campaigns to increase brand awareness and drive conversions.

4. Analytics and Reporting

• Performance Tracking: Monitor and analyse the performance of marketing campaigns using tools like Google Analytics, social media insights, and other analytics software.

• Reporting: Prepare regular reports on campaign performance, website traffic, and other key metrics to share with stakeholders.

• Data-Driven Decisions: Use data insights to make informed decisions and optimize marketing strategies.

5. Collaboration and Coordination

• Team Collaboration: Work closely with the marketing team, including designers, writers, and other specialists, to execute campaigns.

• Cross-Departmental Coordination: Collaborate with sales, product, and other departments to align marketing efforts with overall business goals.

• External Partners: Manage relationships with external vendors, agencies, and partners as needed.

6. Customer Relationship Management (CRM)

• Database Management: Manage and utilize the company’s CRM system to track customer interactions and data.

• Lead Generation and Nurturing: Develop strategies for lead generation and nurturing to convert prospects into customers.

7. Innovation and Trend Monitoring

• Stay Updated: Keep abreast of the latest trends and best practices in digital marketing.

• Experimentation: Test new marketing techniques and strategies to improve campaign effectiveness.

8. Compliance and Ethics

• Regulatory Compliance: Ensure all marketing activities comply with relevant laws and regulations.

• Ethical Practices: Promote ethical marketing practices and maintain the company’s reputation.

Preferred candidate profile

• Must possess strong communication, presentation, and negotiation skills

• Must be familiar with analysing statistics and formulating sales data

• Must be a highly organized, detail-oriented self-starter who is willing to work independently as well as in a team environment

• Knowledge of advertising sales or sales promotions

• Knowledge of online marketing

• Minimum 3 years of experience in digital marketing environment.

• Strong understanding of Google Ads, Google Analytics, SEO, PPC, email marketing, and social media

• Excellent written and verbal communication skills

• Strong analytical and problem-solving skills

• Bachelor’s degree or Master’s degree in marketing, communications, or a related field

Duration: 3 months

Hours: 10 am to 6 pm

Stipend: 2,000 per month

During the internship, you'll learn how to write great content and improve your typing skills. It's a hands-on opportunity to develop your writing abilities and get real-world experience.

Location - Pune/ Mumbai/ Bangalore

Education

Degree, Postgraduate in Computer Science or related field (or equivalent industry experience)

Experience

• Minimum 5 years of coding experience in NodeJS, JavaScript and Databases.
• At least 1 year hands-on in TypeScript .
• Hands-on experience in performance tuning, debugging, monitoring

Technical Skills

• Excellent knowledge developing scalable and highly-available Restful APIs using NodeJS technologies
• Practical experience with GraphQL.
• Experience in working with AWS platform and its core services like Lambda, Cloud Watch, Cloud Formation, CDK, SQS, S3 etc., or its equivalent Azure services
• Hands-on working experience in front-end applications development with HTML, CSS, Node JS with strong working experience in backend technologies Java, TypeScript and JavaScript programming languages.
• Understanding of containerization, experienced in Dockers , Kubernetes.
• Exposed to API gateway integrations like 3Scale.
• Understanding of Single-Sign-on or token-based authentication (Rest, JWT, oAuth)
• Experience on DevOps ways of working with good understanding on CI/CD and actively involved in solving, troubleshooting issues in distributed services ecosystem
• Hands on experience with both SQL and No-SQL databases.
• More than 3 years proven experience in developing high volume scalable cloud solutions utilizing platforms like Amazon AWS or Microsoft Azure.
• Possess expert knowledge of task/message queues include but not limited to: AWS, Microsoft Azure, Pushpin and Kafka

Functional Skills

• Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Banking, Financial and Fintech experience in an enterprise environment preferred
• Experience in Agile methodology.
• Ensure quality of technical and application architecture and design of systems across the organization.
• Effectively research and benchmark technology against other best in class technologies.

Soft Skills

• Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience.
• Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization.
• Have excellent soft skills and interpersonal skills to interact and present the ideas to Senior and Executive management

Responsibilities

• Identify and Source candidates with matching skills and experience as specified in the requirements
• Interview and qualify shortlisted candidates to confirm suitability (technical, administrative and personal), attitude, honesty and reliability
• Confirm that the chosen candidates are willing to be deputed to work at our clients’ premises
• Build confidence and trust in the candidates that they are our team and full-time employees
• Follow-up with candidates by sharing with and obtaining from the candidates all information promptly and periodically throughout the recruitment process  

Location: Chennai

Experience: 3+ years

Domain: Domestic Staffing Industry

Skills: Recruitment of IT and other engineers for Telecom Industry

Geographical Coverage: Pan India

Work Hours: 6 Days Week except Second Saturday

1. Creating content in various formats and types viz articles, blogs, website copies, newsletters, social media posts & captions
2. Creating content strategy and calendar for various clients as well as the company
3. Learning copywriting and applying it wherever required