11+ Press release Jobs in Pune | Press release Job openings in Pune

• Experienced in creating microcopy that will drive visitors towards taking the right actions across our website
• Experienced in writing technical documents like product sheets, product manuals, technical guides, tutorials, etc
• Experienced in proofreading and editing content copies
• Experienced in creating content as per our Ideal Customer Profile
• Work with the marketing team for generating fresh content ideas
• Should have basic knowledge of search engine optimization
• Experienced in creating concise, eye-catching, and innovative headlines and a body of technical documents.
• Experience- 5-10years
• Salary -5-15lpa

Job Summary:

We are seeking a skilled Python Developer with a strong foundation in Artificial Intelligence and Machine Learning. You will be responsible for designing, developing, and deploying intelligent systems that leverage large datasets and cutting-edge ML algorithms to solve real-world problems.

Key Responsibilities:

• Design and implement machine learning models using Python and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Develop APIs and integrate ML models into production systems using frameworks like Flask or FastAPI.
• Collaborate with data scientists, DevOps engineers, and backend teams to deliver scalable AI solutions.
• Optimize model performance and ensure robustness in real-time environments.
• Maintain clear documentation of code, models, and processes.

Required Skills:

• Proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of ML algorithms (classification, regression, clustering, deep learning).
• Experience with data pipeline tools (e.g., Airflow, Spark) and cloud platforms (AWS, Azure, or GCP).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD practices.
• Solid grasp of RESTful API development and integration.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 2–5 years of experience in Python development with a focus on AI/ML.
• Exposure to MLOps practices and model monitoring tools.

📌 Job Title: Technical Architect

📍 Location: Pune (Onsite/Hybrid)

🏢 Company: AdElement Media Solutions Pvt. Ltd.

🕒 Experience Required: 6+ Years

💼 Industry: AdTech / Digital Advertising Technology

Salary - 80 LPA

🔧 About the Role:

We are looking for a Technical Architect with a strong engineering background and hands-on experience in designing and developing scalable products. The ideal candidate must have core experience in AdTech platforms, product architecture, and engineering leadership.

🛠 Key Responsibilities:

• Design, architect, and oversee the implementation of scalable and high-performance AdTech products.
• Collaborate with product managers, developers, and stakeholders to define technical direction.
• Own the end-to-end architecture decisions and ensure alignment with business goals.
• Review code, mentor engineers, and enforce engineering best practices.
• Drive technical innovation and optimize system design for performance, scalability, and reliability.
• Lead architecture discussions for RTB systems, data pipelines, ad servers, or bidding platforms.

✅ Required Qualifications & Skills:

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum 6+ years of hands-on experience in software development and system design.
• Proven experience in building scalable backend systems in high-traffic environments.
• Strong programming skills in Node.js, Java, or Python.
• In-depth understanding of AdTech ecosystem – including DSPs, SSPs, RTB, DMPs, Ad servers, etc.
• Expertise in cloud platforms (AWS preferred), CI/CD, containerization (Docker, Kubernetes).
• Experience in handling data-intensive pipelines using tools like Kafka, Spark, or similar.
• Familiarity with performance tuning, monitoring tools, and high availability systems.

💡 Good to Have:

• Experience working in startups or fast-paced product teams.
• Knowledge of data privacy regulations (GDPR, CCPA) related to online advertising.
• Prior experience in leading cross-functional engineering teams.

📩 How to Apply:

If you're passionate about architecting high-performance AdTech solutions and ready to make an impact, we’d love to hear from you.

Please send your resume

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.

Strategic Vendor Alliance – AWS Practice Lead and Overall P&L owner for India Business and Drive Profitability.

A) Managing the AWS Practice for Clients and executing the strategic business plan for the company and channel partners ecosystem with regards to different Services of AWS.

B) Built key relationships with various segment leaders in AWS from the Commercial and Public Sector and create Client led AWS Solutions for Partners to make simplifying cloud approach for customers.

C) Building a predictable pipeline of joint opportunities via differentiated proposition to the customers and Partners by working with AWS on a unique offerings specifically to Client.

D) Drive SMB focus approach for AWS which contributes 50%of Clients overall Business using ready to use cloud bundles for various workloads

E) Own the relationship map, drive and monitor cadence meetings, both with Internal Sellers and Channel Partners measured by different parameters on Incremental growth ,customer acquisition, partners onboarding, Manage Services led approach ,migration and deployment ,success of each GTM

F) Lead a Team of Product Mangers (who will drive specific GTM like SAP on AWS , SMB Scale Drive, Education focus,Cloud Front Drive- CDN bundle , Strategic Workloads like Microsoft Workload,DC Migration ,DR on Cloud)

G) Managing Partner Profitability metrics by creating various different avenues from recurring resale consumption and services led engagement for partners.

H) Worked on Long Term direction of the company business plan to drive Incremental Growth.

I)Collaborate with internal peers within the company to build cloud business model,how to attach manage services to various services of the Hyperscaler in building the framework.

Full Stack Developer Responsibilities:

• Developing front end website architecture.
• Designing user interactions on web pages.
• Developing back-end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

Requirements

• Degree in computer science.
• Experience with ( React+Node ) Or ( react + Angular) Or ( Node + Angular)
• Strong organizational and project management skills.
• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
• Familiarity with JavaScript frameworks
• 
  
• Familiarity with database technology such as MySQL, Oracle, and MongoDB.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Attention to detail.

Required Candidate profile

• Tally experience is must
• Account Receivable

Location - Pune

Experience - 1-3 years

· 3+ years java development experience with JSE/JEE, Java based Micro-services framework and implementation, Spring framework, Hibernate framework, SQL etc

· Hands on experience on Spring boot & Microservices .

· Strong knowledge of micro-service logging, monitoring, debugging and testing

· Implementations experience of micro-service integration, packaging, build automation and deployment.

· Object Oriented analysis and design using common design patterns.