Technical Project Manager

Job Overview:

We are seeking a motivated and enthusiastic Junior AI/ML Engineer to join our dynamic team. The ideal candidate will have a foundational knowledge in machine learning, deep learning, and related technologies, with hands-on experience in developing ML models from scratch. You will work closely with senior engineers and data scientists to design, implement, and optimize AI solutions that drive innovation and improve our products and services.

Key Responsibilities:

• Develop and implement machine learning and deep learning models from scratch for various applications.
• Collaborate with cross-functional teams to understand requirements and provide AI-driven solutions.
• Utilize deep learning frameworks such as TensorFlow, PyTorch, Keras, and JAX for model development and experimentation.
• Employ data manipulation and analysis tools such as pandas, scikit-learn, and statsmodels to preprocess and analyze data.
• Apply visualization tools like matplotlib and spacy to present data insights and model performance.
• Demonstrate a general understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts.
• Leverage knowledge of statistical and algorithmic models along with fundamental mathematical concepts, including linear algebra and probability.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Solid foundation in machine learning, deep learning, computer vision, and natural language processing (NLP).
• Proven experience in developing ML/deep learning models from scratch.
• Proficiency in Python and relevant libraries.
• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, or JAX.
• Experience with data manipulation and analysis libraries like pandas, scikit-learn, and visualization tools like matplotlib.
• Strong understanding of data structures, algorithms, and multi-threaded programming.
• Knowledge of statistical models and fundamental mathematical concepts, including linear algebra and probability.

Skills and Competencies:

• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a team in a fast-paced environment.
• Eagerness to learn and stay updated with the latest advancements in AI/ML technologies.

Preferred Qualifications:

• Previous internship or project experience in AI/ML.
• Familiarity with cloud-based AI/ML services and tools.

Nirwana.AI is an equal opportunity employer and welcomes applicants from all backgrounds to apply.

• Lead the end-to-end product lifecycle, from conceptualization to delivery, for next-gen AI solutions on our codeless platform
• Collaborate closely with cross-functional teams, including engineering, design, and marketing, to define product requirements and roadmap.
• Conduct market research and analysis to identify emerging trends, customer needs, and competitive landscape in the AI and software industry.
• Prioritize features and enhancements based on business objectives, user feedback, and technical feasibility.
• Track and analyze key performance indicators (KPIs) to measure product success and iterate on strategies for continuous improvement.
• Act as a subject matter expert for the product, providing guidance and support to internal teams and external stakeholders.
• Assist in the identification and implementation of process improvements to optimize project delivery and efficiency.
• Communicate project progress, findings, and recommendations to stakeholders through reports, presentations, and meetings.
• Work closely with mentors and senior team members to enhance technical skills and knowledge in AI and software development.

Overview: 

We are seeking an experienced Node.js developer with a passion for esports to join our team. The ideal candidate will have a strong track record of building and maintaining web applications using Node.js and a proven ability to work effectively in a team environment. Experience in the esports industry is a plus. 

Responsibilities: 

• Develop and maintain web applications using Node.js and related technologies 
• Write clean, maintainable, and efficient code 
• Collaborate with the design and product management teams to implement new features and functionality 
• Work with the DevOps team to ensure proper deployment and monitoring of applications 

• Troubleshoot and debug issues as they arise 
• Write and maintain comprehensive documentation 

Requirements: 

• Strong professional experience with JavaScript and Node.js 
• Experience with building and deploying web applications 

• Familiarity with web development frameworks such as Express or Koa 
• Experience with Git and version control 
• Strong problem-solving and communication skills 

Preferred: 

• Experience in the esports industry 

• Experience with cloud technologies such as AWS or Azure 
• Familiarity with front-end development technologies such as HTML, CSS, and React 
• Experience with data persistence technologies such as MongoDB or MySQL 
• Experience with testing frameworks such as Jest or Mocha 

• Defining and documenting best practices and strategies regarding application deployment and infrastructure maintenance
• Providing guidance, thought leadership and mentorship to development teams to build cloud competencies
• Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful design
• Managing cloud environments in accordance with company security guidelines
• Developing and implementing technical efforts to design, build and deploy AWS applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling and advanced analytics
• Participating in all aspects of the software development life cycle for AWS solutions, including planning, requirements, development, testing, and quality assurance
• Troubleshooting incidents, identifying root cause, fixing and documenting problems and implementing preventive measures
• Educating teams on the implementation of new cloud-based initiatives, providing associated training as required

Desired Candidate Profile

• Bachelor’s degree in computer science, information technology
• 2+ years of experience as architect, designing, developing, and implementing cloud solutions on AWS platforms
• Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytic
• Proven ability to collaborate with multi-disciplinary teams of business analysts, developers, data scientists and subject matter experts
• Self-motivation with the ability to drive features to delivery
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly
• AWS certifications are a plus
• Knowledge of web services, API, REST, and RPC    

• Hands-on Java Engineers, with experience building consumer-facing or enterprise applications using Java stack – Spring, Hibernate, MySQL
• Strong problem solving and analytical skills
• Strong understanding of Object-Oriented Programming concepts and Design patterns.

Do You Know? (Skills good to have)

• Exposure to building service-oriented distributed systems
• In building systems that process big data in a distributed environment, either in real-time streaming or offline batching.
• In messaging systems like Kafka, RabbitMQ, kinesis, etc.
• In real-time computation tools like Storm / Spark or Hadoop-based tools.
• In Data warehousing technologies like Redshift, BigQuery, etc.

Diagnal Technologies is a fully owned subsidiary of Diagnal Inc, Hong Kong.  It’s a product company focusing on media and entertainment clients, creating Video on Demand apps for their customers. We are a team of OTT video solution specialists helping our customers build the new digital media industry in Asia Pacific and beyond. We create viable revenue generating video streaming products, enable our customers to gain business and operational insights through big data analytics and empower them to engage with their users more effectively through targeted marketing campaigns. Started its Development Center in Technopark Phase III campus and focusing on Indian and International clients.

For further details please refer our website

LinkedIN :

Job Description :

• 2 or more years of experience of server side web systems engineering and middleware in a project services or product engineering organisation
• Hands-on development experience using JavaScript on the Server Side with Node.js and associated frameworks.
• Published sites/systems that are now online
• Self motivation and ability to manage your own time to get the job done at the high international quality levels we expect
• An engineering Degree in computer science or equivalent practical experience
• A solid understanding of networking, storage, operating/browser systems engineering as well as application/software systems performance optimisation and third party systems integration
• Hands on experience with Amazon Web Services
• Prior experience working within the Media, E-commerce, Telecommunications or similar large scale consumer facing industry

First round will be a Machine test and Aptitude, sharing it with this mail, which has to be completed in 2 days.This will be followed by technical discussion, CEO round and HR discussion.Hiring process will take 5-7 working days post completion of M/C test

1- Must have experience in all kind of customization work in Magento

2- Must have experience in Magento 1 & Magento 2

3- Must have experience in PHP

4- Must have magento theme customization experience

5- Must have maganto extension integration experience

6- Must completed at least 10 project(around) in magento

7- Must work independently or with minimal supervision

Role and Responsibilities

A Quantitative Strategist/Quantitative Trader profile at QuantX requires rigorous quantitative aptitude and go-get attitude.

• Deployment of quantitative models in Indian Equity and Derivatives markets to generate returns.
• Management of Quantitative Trading Programs.
• Data Analysis

Requirements

Education (Candidate should satisfy one of the following)

• B.Sc./M.Sc. Mathematics or B.Sc./M.Sc. Statistics from a reputed college with good grades
• Tech with good grades and strong quantitative aptitude
• CFA/FRM Level 1 cleared
• Any other degree with Financial Derivatives as a subject and through knowledge of Derivative Greeks (Portfolio Level, Risk Management, Hedging)  

Skills

• Exceptional Quantitative Aptitude
• Psychological composure and Logical/Objective decision making
• Comfortable working on computer programs

Preferences

Following skill sets are not required but candidate will get preference if he/she possesses any of the following:

• Working knowledge of python for historical data analysis or working on real-time analytics getting feed from a web API (Data structures, numpy, scikit-learn, tensor flow)
• MATLAB/R for Time series analysis
• Knowledge of AFL ( Amibroker Formula Language)

Advantages

• Steep learning curve
• Extensive training on mathematics of derivatives market
• Dynamic work environment(Everyday is different in its own way)
• Very small team and merit based growth
• Best in class Quarterly bonuses and revenue share post training period(where bonus can surpass the base salary)

Pay Structure

• Extensive training period(probation period) of 2 months(Stipend Paid during training period INR 10,000)
• Pay Structure post the training period:

Junior Trader:

Base Salary I + 5% of Revenue share

       Senior Trader:

(Base Salary I + 27% hike) + 10% of Revenue Share

Working Hours

We neither believe in staying unnecessary in office if there's nothing productive to be done nor do we believe in long unproductive lunch breaks

• Standard Market Hours
• Training Pre and Post market hours
• Our doors are open till the time you are working

Selection Process

• Quantitative Aptitude Test 
• Psychometric Test
• Personal Interview
• Super Day (Hands on work on high paced advance programs)