Activity Planning Intern

Role & Responsibilities

Responsibilities

• Contribute to the development and optimization of enterprise-wide search systems and models.

• Design and implement algorithms to improve indexing, query relevance, and search accuracy.

• Support taxonomy, ontology, and metadata model creation for better search outcomes.

• Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.

• Conduct analysis of user behavior and system metrics to refine search performance.

• Work with engineers, product managers, and designers to deliver integrated search solutions.

• Develop production-grade ML systems for ranking, personalization, and recommendations.

• Participate in proof-of-concept initiatives with internal and external partners.

• Follow best practices in software engineering including CI/CD, testing, and monitoring.

• Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Ideal Candidate

Strong Data Scientist / AI Engineer / Machine Learning Engineer profiles.

Mandatory (Experience 1) – Must have minimum 5+ years of hands-on experience in Data Science, Machine Learning, Applied AI, NLP, Deep Learning, or Generative AI solutions.

Mandatory (Experience 2) – Must have strong hands-on experience in Python programming, SQL, data analysis, feature engineering, model development, and production-grade ML applications.

Mandatory (Experience 3) – Must have experience working with Machine Learning and Deep Learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, or equivalent.

Mandatory (Experience 4) – Must have hands-on experience working on NLP, embeddings, semantic search, text classification, document understanding, recommendation systems, or similar AI/ML use cases.

Mandatory (Experience 5) – Must have experience working with Large Language Models (LLMs) such as GPT, Llama, Mistral, Claude, Gemini, Phi, or similar foundation models.

Mandatory (Experience 6) – Must have hands-on experience building or implementing RAG (Retrieval Augmented Generation) systems, vector search, knowledge retrieval, embeddings, chunking, indexing, or semantic retrieval solutions.

Mandatory (Experience 7) – Must have experience working with Git, CI/CD practices, production environments, and scalable AI/ML systems.

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

Mandatory (Age) - Candidate's Age should be below 30 Years

Preferred (Experience 1) – Experience with MLFlow, Kubeflow, Airflow, Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.

Preferred (Experience 2) – Experience working with Vector Databases, Spark, PySpark, distributed ML pipelines, large-scale data processing, or real-time ML systems..

Preferred (Experience 3) – Familiarity with Docker, Kubernetes, Azure, AWS, GCP, cloud-native AI deployments, and scalable ML architecture.

Preferred (Company) – Candidates from AI-first startups, Fintech, Banking, Lending, Fraud Analytics, Risk Analytics, Product Companies, SaaS organizations, or data-driven technology companies.

Kindly provide the following details while sending your CV: (Mandatory details)

1) Date of Birth

2) Current Location-

3) Current CTC-

4) Expected CTC-

5) Notice Period-

6) Ready to relocate to Pune?

Regards,

The Supreme Consultancy

Website- https://lnkd.in/eawfxfxU

Job Title: Customer Support Executive

Process: Kotak Bank Process

Eligibility:

Graduates with 6+ months experience

Undergraduates with 6+ months experience

Communication Requirement (Versant):

Versant 3 – Average Communication

Versant 4 – Good Communication

Salary (Take Home):

Graduate

Versant 3: ₹17,000

Versant 4: ₹18,000

Undergraduate

Versant 3: ₹16,000

Versant 4: ₹17,000

Job Responsibilities:

Handle customer queries related to Kotak Bank products

Resolve customer issues professionally

Maintain quality and customer satisfaction

Job Details:

Shift Timing: 9:30 AM – 6:30 PM

Shift: Day Shift

Week Off: 1 Rotational Week Off

Location: Eureka Outsourcing Solutions

ROLE SUMMARY:

The Business Analyst is responsible for working with stakeholders to identify and analyze business needs and to develop and support in implementing solutions that support the organization's goals. The role involves gathering and analyzing data, identifying trends and patterns, and creating detailed business requirements for new or improved systems, processes, and products.

QUALIFICATIONS:

• Excellent academic record – B.E./B.Tech IT, CSE/ MCA along with MBA (preferred).
• 3-6 years of experience

ROLES AND RESPONSIBILITIES:

• Responsible for working with stakeholders to identify and analyze business needs and to develop and support in implementing solutions.
• Ability to use data processing tools for data transformation. Gathering and Analyzing data, identifying trends and patterns
• Develop detailed business requirements for new or improved systems, processes, and products while you collaborate with development teams to ensure that solutions meet business requirements.
• Monitor and report on the progress of projects along with managing testing and deployment. Also provide training and support to end users.
• Solid technical background with understanding and/or hands-on experience in software development and web technologies and staying up to date with industry trends and best practices.
• Aim to align your knowledge against BABoK and certification aspirations (ECBA, CCBA or CBAP)

COMPETENCIES:

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Experience with data analysis tools and methodologies.
• Good Understanding of project management skills.
• Experience with Agile development methodologies is a plus.

LOCATION:

All roles at Byteridge are Work from Home except in cases where Clients may ask you to work at their location or in cases where performance issues are identified. If you are asked by the Client to work in a location other than our base locations (Hyderabad, Chennai, Bangalore & Delhi) you may claim an extra reimbursement as per policy

Graphic Designer

Company: Pixerize Inc.

Location: Fully Remote

Job Type: Full-Time or Contract | Start Date: Immediate

About Pixerize

Pixerize is a results-driven digital agency focused on automation, global business growth, and brand dominance. As we expand our creative footprint, we’re looking for a Graphic Designer to bring our visual identity to life across platforms.

Role Overview

We’re hiring a versatile Graphic Designer with strong skills in Canva and the Adobe Creative Suite (Photoshop, Illustrator, InDesign). From logos and brand kits to social content and marketing assets, your role is to design visuals that tell a story, connect with audiences, and elevate the Pixerize brand.

Responsibilities

• Design logos, brand assets, social media graphics, and marketing visuals.

• Create cohesive designs aligned with brand guidelines and campaign goals.

• Support website visuals, landing pages, and presentations.

• Collaborate with writers, marketers, and video editors to produce compelling media.

• Work within Canva for quick-turnaround content, and Adobe Suite for in-depth creative projects.

• Deliver assets in required formats, sizes, and deadlines.

Requirements

• 2+ years of design experience (freelance or in-house).

• Proficiency in Canva, Photoshop, Illustrator, and other Adobe tools.

• Strong design portfolio showcasing branding, logos, and digital content.

• Creative eye for color, layout, typography, and visual hierarchy.

• Ability to manage multiple design requests and meet deadlines.

Nice to Have

• Experience working with startup or agency brands.

• Animation or motion graphic skills (After Effects or similar).

Familiarity with social media and ad design best practices.

Job Description: Full Stack Developer Company: Arroz Technology Private Limited CTC: 5 LPA

Location : Bangalore (Onsite)

Responsibilities:

- Design and develop scalable and high-performance web applications using the

MERN (MongoDB, Express.js, React.js, Node.js) stack.

- Collaborate with cross-functional teams to gather requirements and translate them into high-level designs.

- Write clean, reusable, and well-structured code following industry best practices and coding standards.

- Mentor and guide junior developers, providing technical expertise and promoting Professional growth.

- Conduct code reviews and provide constructive feedback to ensure code quality and adherence to standards.

- Collaborate with frontend and backend developers to integrate components and ensure smooth data flow.

- Work with UI/UX designers to implement responsive and user-friendly interfaces.

- Stay updated with the latest trends and advancements in full-stack development technologies.

- Work in a 10 AM to 6 PM, six-day office role, maintaining regular attendance and punctuality.

Required Skills and Qualifications:

-Strong proficiency in MERN (MongoDB, Express.js, React.js, Node.js) stack development.

-Experience with Redux or similar state management libraries.

-Solid understanding of front-end technologies such as HTML, CSS, and JavaScript.

-Proficiency in RESTful API development and integration.

-Familiarity with version control systems like Git and agile development methodologies.

-Good problem-solving and debugging skills.

-Excellent communication and teamwork abilities.

-Bachelor's degree in Computer Science or a related field (preferred).

Join Arroz Technology Private Limited as a Full Stack Developer and contribute to the development of cutting-edge web applications. This role offers competitive compensation and growth opportunities within a dynamic work environment. 

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.