Offline Tutoting

 Key Responsibilities

AI Model Development 

 - Design and implement advanced Generative AI models (e.g., GPT-based, LLaMA, etc.) to support applications across various domains, including text generation, summarization, and conversational agents.

 - Utilize tools like LangChain and LlamaIndex to build robust AI-powered systems, ensuring seamless integration with data sources, APIs, and databases.

Backend Development with FastAPI

 - Develop and maintain fast, efficient, and scalable FastAPI services to expose AI models and algorithms via RESTful APIs.

 - Ensure optimal performance and low-latency for API endpoints, focusing on real-time data processing.

Pipeline and Integration

 - Build and optimize data processing pipelines for AI models, including ingestion, transformation, and indexing of large datasets using tools like LangChain and LlamaIndex.

 - Integrate AI models with external services, databases, and other backend systems to create end-to-end solutions.

Collaboration with Cross-Functional Teams

 - Collaborate with data scientists, machine learning engineers, and product teams to define project requirements, technical feasibility, and timelines.

 - Work with front-end developers to integrate AI-powered functionalities into web applications.

Model Optimization and Fine-Tuning

 - Fine-tune and optimize pre-trained Generative AI models to improve accuracy, performance, and scalability for specific business use cases.

 - Ensure efficient deployment of models in production environments, addressing issues related to memory, latency, and resource management.

Documentation and Code Quality

 - Maintain high standards of code quality, write clear, maintainable code, and conduct thorough unit and integration tests.

 - Document AI model architectures, APIs, and workflows for future reference and onboarding of team members.

Research and Innovation

 - Stay updated with the latest advancements in Generative AI, LangChain, and LlamaIndex, and actively contribute to the adoption of new techniques and technologies.

 - Propose and explore innovative ways to leverage cutting-edge AI technologies to solve complex problems.

Required Skills and Experience

Expertise in Generative AI 

Strong experience working with Generative AI models, including but not limited to GPT-3/4, LLaMA, or other large language models (LLMs).

LangChain & LlamaIndex 

Hands-on experience with LangChain for building language model-driven applications, and LlamaIndex for efficient data indexing and querying.

Python Programming 

Proficiency in Python for building AI applications, working with frameworks such as TensorFlow, PyTorch, Hugging Face, and others.

API Development with FastAPI 

Strong experience developing RESTful APIs using FastAPI, with a focus on high-performance, scalable web services.

NLP & Machine Learning 

Solid foundation in Natural Language Processing (NLP) and machine learning techniques, including data preprocessing, feature engineering, model evaluation, and fine-tuning.

Database & Storage Systems Familiarity with relational and NoSQL databases, data storage, and management strategies for large-scale AI datasets.

Version Control & CI/CD 

Experience with Git, GitHub, and implementing CI/CD pipelines for seamless deployment.

Preferred Skills

Containerization & Cloud Deployment 

Familiarity with Docker, Kubernetes, and cloud platforms (e.g., AWS, GCP, Azure) for deploying scalable AI applications.

Data Engineering 

Experience in working with data pipelines and frameworks such as Apache Spark, Airflow, or Dask.

Knowledge of Front-End Technologies Familiarity with front-end frameworks (React, Vue.js, etc.) for integrating AI APIs with user-facing applications.

Life is Short! Work Somewhere Awesome.

The Talent Enterprise is hiring for experienced full stack Ruby on Rails developers.

As a Senior Ruby On Rails Engineer, you'll work on a closely-knit team with a technology stack built on top of Ruby on Rails 5.2. We like to work with modern technologies, always try to do what is best for the customer and put more value on teamwork than rock stars and cowboys.

Key Responsibilities

• Design, build, and maintain efficient, reusable, and reliable Ruby code
• Lead the technical design and development of major platform components to help our technology platform scale with our explosive user growth.
• Actively promote code quality, organization and automatization
• Build new features to improve psychometric assessments
• Shape our product roadmaps by being data-driven and creative
• Use and promote TDD best practices
• Pair program with team members of different experiences
• Be a mentor when you have the expertise / Be a student when someone else does

Required Experience or Skills

• 5+ years experience with Ruby on Rails
• Experience working with Postgres database
• Expert knowledge of feature/end-to-end and unit tests
• TDD experience with RSpec and Capybara
• Strong JavaScript skills
• Strong HTML / CSS 3 skills
• Experience working with a Continuous Integration environment (CircleCI, Codeship, Jenkins, etc.)
• Understanding and commitment to Agile processes
• Great communication, particularly in explaining your coding processes, suggestions for best practices, and identifying ways to improve the team's coding quality

Desired Skills & Experience

• Experience developing with React / Redux
• Experience developing with TypeScript
• Working knowledge with Docker

You'll get

• Competitive salary with health benefits
• An extremely energising, dynamic and fast paced entrepreneurial working culture and environment
• An opportunity to work on leading edge technology products and solutions that will be first movers in the market
• An opportunity to travel to international locations where our clients may be based
• Latest laptop, devices and technologies for your needs
• Unique and supportive opportunities to progress in your career
• On-going team and professional development, including reimbursement options for classes or conferences

Where

Remote

About The Talent Enterprise

The Talent Enterprise is a young, talented, fun, entrepreneurial, fast paced, and fast growing company that’s ready to take over the world. We are helping forward thinking business leaders and companies improve their ability to assess, measure, identify, select, hire, develop, engage, and retain top talent to improve performance.

Our fast-paced emerging growth company is looking for Senior Ruby On Rails Engineers to support our triple-digit annual user growth. You will have the opportunity to be part of a dynamic and passionate culture looking to make a difference.

Design a multi-tier data pipeline to feed data into applications for building a full-featured analytics environment. Develop high-quality code to support the platform's technical architecture and design. Participate and contribute to an effective software development lifecycle using Scrum and Agile. Collaborate with global teams and work as one team. what you get to do:

You'll work on the design, implementation, and maintenance of data pipelines. Design and build database schemas to handle large-scale data migration & transformation. Capable of designing a high-performance, scalable, distributed product in the cloudAWS, GCS. Review developmental frameworks, and coding standards, conducts code reviews and walkthroughs, and conduct in-depth design reviews. Identify gaps in the existing infrastructure and advocate for the necessary changes to close them. Who we are looking for:

4 to 7 years of industry experience working in Spark and Scala/Python. Working experience with big-data tech stacks like Spark, Kafka & Athena. Extensive experience in SQL query optimization/tuning and debugging SQL performance issues. Experience in ETL/ELT process to move data through the data processing pipeline. Be a fearless leader in championing smart design. Top 3 primary skills and expertise level requirements ( 1 to 5; 5 being expert)

Excellent programming experience in Scala or Python. Good experience in SQL queries and optimizations. 2 to 3 years of Spark experience. Nice to have experience in Airflow. Nice to have experience with AWS EMR, Lambda, and S3.

Employment Type - FULLTIME

Industry Type - Media / Entertainment / Internet

Seniority Level - Mid-Senior-Level

Work Experience(in years) - 4 - 7 Years

Education - B.Tech/B.E.

Skills - Python, Scala, Ms Sql Server, Aws

Behavioural Scientist

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What You'll Do:

• Work with Data Scientists to evolve patterns of Human behavioural traits and participate in Profile Building.
• Contribute to the Visual, Textual, Audio and other forms of Inquiry to determine the behavioural traits and develop various personas.
• Apply Human psychological theories to practice
• Help Develop psychographic inquiry based system to understand the users.
• To Develop Marketing Psychology patterns to gage buyer behaviour by banking on
• cognitive biases.
• To Develop CPM or HEM approaches appropriately to assist the marketing, sales and
• data science team.
• Impeccable grasp of the English language, including idioms and current trends in slang and expressions

What are we looking for (Competencies) :

• Should be a graduate in Psychology, Journalism/ Mass communication
• Should be aware about new age technologies
• Should know about New age user economy
• Impeccable grasp of the English language, including idioms and current trends in slang and expressions
• Should be able to clearly express views and articulate
• Clear understanding of psychographic tests
• Should have done survey frameworks

Benefits:

• Competitive Salary Packages and benefits
• Collaborative, lively and an upbeat work environment with young professionals

Job Category: Data Science

Job Type: Full Time

Job Location: Bangalore/Chennai

• Design and development of Verification IPs and models for ADAS and AV customers. 
• Understand the Customers’ verification pain points, translate them into technical terms, and propose new features for the product
• Work with the customers on adopting the product, training, helping them address issues

• Deploy verification solution  (composed of a product, language, and methodology) for customers
• Support installation, integrations, and assimilation of new versions, and/or SW packages at the Customers’ sites
• Develop Application Notes, Methodology documents as well as technical presentations