MSBI Developer

Job Title : Hardware Design Developer – Verilog

Employment Type : Full-Time Contract (8 hours/day)

Location : Remote

Experience : 3+ Years (Mandatory)

Notice Period : Immediate

Job Overview :

We are looking for an experienced Hardware Design Developer to leverage hardware design platforms for generating training data to enhance enterprise LLMs' capabilities. This role offers a unique opportunity to directly impact AI advancements by optimizing hardware designs for training and benchmarking large language models.

Key Responsibilities :

• Develop, configure, and customize hardware design platforms to generate training data for enterprise LLMs.
• Work closely with research teams to translate requirements into actionable insights.
• Ensure high-quality coding, debugging, and documentation to optimize hardware design solutions.
• Collaborate with cross-functional teams to improve LLM performance and automation capabilities.

Required Skills & Experience:

• BS/MS in Electrical Engineering or related field.
• 3 to 5 Years of hardware design development experience.
• Expertise in HDLs (Verilog, SystemVerilog, VHDL, SystemC).
• Strong background in scripting, front-end workflows, and verification processes.
• Familiarity with Synopsys, Cadence, or open-source toolchains.
• Excellent problem-solving and collaboration skills.

Preferred Qualifications :

• Expertise in UVM environments, Formal Verification, and Lint refinement.
• Experience with Computer Architecture, Assembly Debugging, and Assertion Coding (SVA).
• Familiarity with Machine Learning and AI systems.

Mandatory Technical Skills :

• Min 2 Years of relevant experience in Hardware Design and/or Verification.
• Experience with at least one of the following:
• ASIC, VLSI, FPGA, SoC development.
• SystemVerilog, Verilog, Testbench development, and Verification.
• Strong understanding of IP Development and Verification.

Note: This role focuses on LLM training using hardware design, not traditional project development.

Job Title : Sr. Data Scientist

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2 PM to 11 PM

Availability : Immediate

Job Description :

We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.

The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.

Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.

Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.

Roles and Responsibilities: -

Identify and develop new business opportunities among brands and corporates - Build and maintain strong relationships with key clients, by assisting and providing suitable solutions - Generate revenue by meeting or exceeding sales targets through effective sales techniques - Collaborate with internal teams to ensure the smooth delivery of services and customer satisfaction - Prepare sales presentations, proposals, and contracts for potential clients - Participate in networking events and industry conferences to expand business connections - Provide regular reports on sales activities, pipelines, and forecasts - Contribute to the development of marketing strategies and initiatives to attract new clients - Maintain a high level of product knowledge and continuously update knowledge about the company's offerings - Provide after-sales services to key clients to build rapport.

Qualifications: - Minimum of 2 to 5 years of experience in business development or sales, preferably in a B2B environment - Proven track record in achieving sales targets and driving revenue growth - Strong negotiation and communication skills with the ability to build rapport with clients - Experience in membership sales and managing key accounts is highly desirable - Knowledge of the barter industry or experience with barter trade is a plus - Ability to work independently, take initiative, and drive results - Proficiency in Microsoft Office Suite - Willingness to travel for client meetings and industry events as required 

If anyone interested then apply through link:-  https://tiny.cc/NGtalent 

Java Full Stack Developer

Experience required-4.5 to 7yrs

Mandatory Skills- Front end- HTML, CSS, Javascript, Angular/React

Back end- Java, Springboot/Node/Python, Any SQL/RDBMS, OS

Jenkins for Deployment

• Work closely with design, product management, and front-end teams to create REST APIs using NestJS
• Write reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Work on the implementation of security and data protection
• Review and optimize the app usage by monitoring key metrics and rectifying the issues proactively

• 1+ years of experience in NodeJS-based frameworks like NestJS, and microservices-based architecture is a bonus.
• Understanding of OOPS concepts, persistence, threading, queuing, and caching.
• Thorough knowledge of designing, implementing and scaling relational and document-based databases
• A love for systems and an ability to think through and plan for their life cycles, edge cases, interactions, and failure modes
• First principles thinking, Excellent problem-solving ability
• A good all-rounder with a can-do, startup mentality

• Experience with ReactJS
• Cloud deployment and scaling experience

• Gather benchmark data about jobs, compensation and benefits
• Map out salary ranges for our open positions
• Calculate retention, turnover and internal mobility rates
• Report on key recruiting metrics like time to fill and hiring costs
• Assist hiring managers in designing hiring and training plans
• Forecast costs by department and help create budgets
• Analyze employees’ answers to internal surveys (like job satisfaction surveys)
• Assess results from our employee performance reviews
• Identify top reasons why candidates and employees choose to work with our company and recommend areas of improvement for our HR procedures

• Work experience as an HR Analyst or similar role
• Experience using Human Resources Management Systems
• Excellent analytical skills
• Ability to create detailed spreadsheets, charts and presentations
• Good research abilities
• Familiarity with HR operations including hiring, payroll and employee benefits
• BSc in Human Resources, Business Administration or relevant field

• Create an inspiring team environment with an open communication culture
• Set clear team goals
• Delegate tasks and set deadlines
• Oversee day-to-day operation
• Monitor team performance and report on metrics
• Motivate team members
• Discover training needs and provide coaching
• Listen to team members’ feedback and resolve any issues or conflicts
• Recognize high performance and reward accomplishments
• Encourage creativity and risk-taking
• Suggest and organize team building activities
• Responsible for distributing information to team members and stakeholders
  
• Coordinates operation strategies and activities to ensure the provision of outstanding customer service while adhering to regulatory and company guidelines
  
• Address customer concerns in reference to products, services rendered or employee interactions
  
• Train new employees on company standards and procedures, from how to handle a negative customer experience to how to properly interact with clients

• Research and develop statistical learning models for data analysis
• Collaborate with product management and engineering departments to understand company needs and devise possible solutions
• Keep up-to-date with latest technology trends
• Communicate results and ideas to key decision makers
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis
• Optimize joint development efforts through appropriate database use and project design

Qualifications/Requirements:

• Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc
• 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent communication skills written, verbal and presentation

Desired Experience:

• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Knowledge and experience with NLP technology
• Previous work in a start-up environment