Director Product Manager

Apprication Pvt Ltd is Hiring Senior Data Analyst with minimum 2 Years Full time experience excluding internship.

-Lead and mentor Data Science team members, ensuring knowledge sharing and growth through structured guidance.

- Architect and deploy end-to-end AI/ML solutions including LLM applications, RAG systems, and multi-agent workflows. Collaborate with cross-functional teams (engineering, product, domain experts)

-To align AI solutions with business goals. Establish MLOps practices, CI/CD pipelines, and standardized evaluation frameworks for production-ready AI. Drive innovation by researching, prototyping, and implementing state-of-the-art techniques in Generative AI and Machine Learning

Position Overview:

We are looking for a skilled Software Developer to work in abroad countries. The ideal candidate will have a strong background in software development, problem-solving abilities, and a passion for creating high-quality applications. We provide job assistance to the canditates for there great future and career growth.

Responsibilities:

• Person should have good experience working as Full Stack developer.
• Manage End to End Solution Development.
• Write clean, scalable, and maintainable code using Next.js, React.js, Node.js, Express, and MongoDB.
• Debug and troubleshoot issues to enhance performance and user experience.
• Participate in code reviews, project planning, and discussions.

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

·      Design, build, and deploy scalable ML and deep learning models for real-world applications.

·      Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

·      Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

·      Integrate ML and Gen AI models with APIs and internal tools to support business operations.

·      Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

·      Participate in code reviews, debugging, and performance optimisation of deployed models.

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

         • Ensure ML systems are built with GDPR compliance in mind.

         • Adhere to RBAC policies and maintain secure handling of personal and property         data.

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

         • Conduct basic risk analysis for model performance and data bias.

         • Use sandboxed environments for testing and development.

         • Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

·      1–2 years of professional experience in Machine Learning and Deep Learning projects.

·      Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

·      Strong understanding of NLP and its real-world applications.

·      Exposure to building scalable ML systems and deploying models into production.

·      Basic working knowledge of Generative AI techniques and frameworks.

·      Familiarity with CI/CD tools and experience with API-based integration.

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

1.                 Proven experience as a QA Tester or similar role with 5+ Years of experience, with a strong understanding of software testing principles, methodologies and techniques.

2.                 Proficiency in creating and executing test plans, test cases, and test scripts.

3.                 Experience with various testing types including functional, integration, regression, and usability testing.

4.                 Familiarity with manual and automated testing tools, such as Selenium, Appium, Lambda Test.

5.                 Basic knowledge of programming languages (e.g., Java, Python) and scripting for test automation is a plus.

6.                 Excellent analytical and problem-solving skills, with a keen attention to detail.

About this role

We are seeking a seasoned DBA to join our team. You will have extensive experience in a mission-critical environment as a database administrator over a successful career.  You will primarily work on the Supporting our Databases, AWS RDS (MySQL), and  MongoDB/ Cassandra.

What You’ll Do

• Provide leadership in database scaling & monitoring. Maintain runbooks for our 24x7 SRE team. 
• Assist in troubleshooting and resolution of database issues. Perform database upgrades and patches.
• Define and develop data pipelines between platforms in a mission-critical environment using DMS, Fivetran, Kafka, etc.
• Work with our developers to optimize and tune their SQL queries.
• Assist in application development, debugging, and optimization with respect to data concerns.
• Provide input in the design and implementation of backup, recovery, and DR strategy
• Review application and database design for compliance.

What You’ll Need

• Ability to script in a high-level language like Python, Ruby, etc for Automation. 
• 8+ years of experience in AWS database services like RDS (Mysql), MongoDB/ Cassandra.
• 4+ years of experience in database design and DevOps on AWS.
• Must demonstrate a clear understanding of logical and physical database design and standards. 
• Experience in columnar data warehouse solutions like Redshift or Snowflake. 
• Must have extensive hands-on experience with MySQL in a large scale 24x7 production environment with millions of records.
• Bachelor of Science in Computer Science, Mathematics, or Engineering; or equivalent work experience

Bonus Points If You Have

• Experience with NoSQL solutions such as Cassandra/MongoDB etc.
• Experience with software development life cycle (SDLC) in an agile environment
• Hands-on production experience with Big Data applications such as Spark.
• Knowledge of development best practices (source control with Git, continuous integration, automated testing).

• Design, maintain and supply content for the organization's website.
• Formulate strategies to build a lasting digital connection with customers.
• A monitor company presence on social media.
• Launch advertisements to increase brand awareness.

• Bachelor's degree in Marketing or related field.
• Excellent understanding of digital marketing concepts.
• Experience with business to customer social media and content generation.
• Strong creative and analytical skills.

• Analytical Skills
• Social Media Marketing
• Marketing Campaigns
• Marketing Strategy
• Online Marketing
• Brand Awareness
• Content Strategy
• Content Management Systems (CMS)
• SEO
• Google Ads
• English Proficiency (Verbal and Written)

We have an Urgent Job Opening for Female Executive Assistant to Director @ Andheri (West)

Job Role:

Scheduling daily meetings on behalf of Director.

Diary management including travel, meetings & conference management.

Acting as the point of contact among employees, clients and other external partners.

Managing the directors day-to-day calendar, including fixing appointments and prioritizing the most sensitive matters.

Prepare weekly, monthly or quarterly reports.

Required Skills:

Excellent verbal and written communications skills.

Outstanding organizational and time management skills.

Must have minimum 3 years of relevant experience as a Executive Assistant to Director.

Only Female Candidates can apply.

Interested candidates can send their updated CV.