Influencer Marketer

 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.

Java Developer – Job Description Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. Required Skills: • Exp. - 4 to 7 years. • Experience in Core Java and Spring Boot. • Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns. • Should have the ability to analyze, design, develop and test complex, low-latency client facing applications. • Good development experience with RDBMS. • Good knowledge of multi-threading and high-performance server-side development. • Basic working knowledge of Unix/Linux. • Excellent problem solving and coding skills. • Strong interpersonal, communication and analytical skills. • Should have the ability to express their design ideas and thoughts. About Wissen Technology: Wissen Technology is a niche global consulting and solutions company that brings unparalleled domain expertise in Banking and Finance, Telecom and Startups. Wissen Technology is a part of Wissen Group and was established in the year 2015. Wissen has offices in the US, India, UK, Australia, Mexico, and Canada, with best-in-class infrastructure and development facilities. Wissen has successfully delivered projects worth $1 Billion for more than 25 of the Fortune 500 companies. The Wissen Group overall includes more than 4000 highly skilled professionals. Wissen Technology provides exceptional value in mission critical projects for its clients, through thought leadership, ownership, and assured on-time deliveries that are always ‘first time right’. Our team consists of 1200+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world. Wissen Technology offers an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation. We have been certified as a Great Place to Work® for two consecutive years (2020-2022) and voted as the Top 20 AI/ML vendor by CIO Insider. 

Bachelor’s degree (minimum) in Computer Science or Engineering.

5-7 years of experience working as a senior–level Software Engineer

Excellent programming and debugging skills in C/C++and Python

Experience developing on Windows and Linux systems 

Experience in automation of manual tasks

Although not required, the following are a plus:  

Experience working with Build framework (Makefile, CMake, Scons), Batch/Shell scripting

Experience with Jenkins and other CI/CD tools

Knowledge of RESTful web services and docker

Role Description

This is a full-time hybrid role as a GCP Data Engineer,. As a GCP Data Engineer, you will be responsible for managing large sets of structured and unstructured data and developing processes to convert data into insights, information, and knowledge.

Skill Name: GCP Data Engineer

Experience: 7-10 years

Notice Period: 0-15 days

Location :-Pune

If you have a passion for data engineering and possess the following , we would love to hear from you:

🔹 7 to 10 years of experience working on Software Development Life Cycle (SDLC)

🔹 At least 4+ years of experience in Google Cloud platform, with a focus on Big Query

🔹 Proficiency in Java and Python, along with experience in Google Cloud SDK & API Scripting

🔹 Experience in the Finance/Revenue domain would be considered an added advantage

🔹 Familiarity with GCP Migration activities and the DBT Tool would also be beneficial

You will play a crucial role in developing and maintaining our data infrastructure on the Google Cloud platform.

Your expertise in SDLC, Big Query, Java, Python, and Google Cloud SDK & API Scripting will be instrumental in ensuring the smooth operation of our data systems..

Join our dynamic team and contribute to our mission of harnessing the power of data to make informed business decisions.

Must have skills :

6+ Years Java, Spring - 4+ years, Node JS / React JS - 4+ years

Responsibilities:

Code, test and debug programs according to specifications.

Build new and modifying existing applications.

Develop software prototypes.

Write unit tests and functional tests (automation).

Perform manual tests.

Use tools to access data in datastore, version control systems, etc.

Practice Agile methodologies.

Frequently interface with other functional teams on all aspects of a feature or sub-system 

• Define and lead strategic performance projects, manage stakeholders to drive outcomes.
• Analyzing and presenting key MIS reports for Management review
• Lead business planning for including formulation of annual, monthly and daily plans on key
• performance metrics.
• Driving the strategic initiatives of the company as per the CEO's agenda
• Studying & improvising the operation processes of the company.
• Drive business performance insights working closely with the sales, marketing, growth &analytics teams
• Create strategic value-added analyses around growth opportunities, retention levers and core
• business metrics in order to drive better decision making and results
• Conduct ongoing analysis of key business drivers, trends and performance.

Responsibilities: 
 

• The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business. 
• The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML solutions based on our reference architecture which is underpinned by big data & cloud technology, micro-service architecture and high performing compute infrastructure. 
• Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation. 

Required Skills: 
 

• An ideal candidate will have a background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems. 
• Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open-source libraries 
• Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts 
• Experience in designing full stack ML solutions in a distributed computing environment 
• Experience working with Python, Tensor Flow, Kera’s, Sci-kit, pandas, NumPy, AZURE, AWS GPU
• Excellent communication skills with multiple levels of the organization 
• Image CNN, Image processing, MRCNN, FRCNN experience is a must.