Cloud Engineer

Job Title : Rust Tech Lead/Senior Rust Developer

Experience : 5+ Years

Relevant Experience in Rust : 3+ Years

Location : Gurugram

Employment Type : Full-Time

Role Summary :

• We are looking for a Rust Tech Lead/Senior Rust Developer with 5+ Years of software development experience, including 3 to 4 Years of expertise in Rust.
• In this role, you will lead a team of developers, guide technical decisions, and ensure the development of robust Rust applications.

Key Responsibilities :

• Lead and mentor a team of Rust developers.
• Develop and maintain high-quality Rust code.
• Collaborate with cross-functional teams to ensure software stability.
• Troubleshoot and resolve issues in Rust applications.

Qualifications :

• 5+ Years in Software Development.
• 3 to 4 Years of professional Rust experience.
• Strong problem-solving skills and experience in team leadership.

Preferred Skills :

• Systems programming and concurrent programming experience.
• Familiarity with Git and other version control systems.

Role Overview

You will play a crucial role in performance tuning of the product, focusing on response time, load, and scalability. The role demands hands-on expertise in performance testing tools and strong troubleshooting skills to collaborate effectively with development and architecture teams.

Key Responsibilities

• Design, develop, and execute performance test scripts using tools such as JMeter, LoadRunner, or RPT.
• Conduct multi-user scenario scripting and load/stress testing.
• Analyze performance test results and provide bottleneck analysis and recommendations.
• Collaborate with developers and architects to optimize performance across response time, scalability, and throughput.
• Monitor system health during performance testing and troubleshoot performance issues.
• Document test strategy, results, and provide actionable insights to improve product performance.
• Contribute to performance tuning and capacity planning for cloud-based applications (added advantage).

Required Skills & Experience

• 6–8 years of overall engineering product testing experience.
• At least 2 years in automation testing.
• At least 2 years in performance test analysis.
• Hands-on expertise in JMeter, RPT, or LoadRunner (mandatory).
• Strong background in performance engineering with the ability to troubleshoot and solve technical issues.
• Experience in cloud-based applications (preferred).
• Knowledge of C++ coding will be an added advantage.
• Excellent skills in performance monitoring, profiling, and analysis.
• Strong communication skills for technical discussions with development and architecture teams.

Position Overview:

The AI Tech Lead will architect and guide the implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications. The role requires strong architectural judgment, hands-on expertise in AI/LLM systems, and the ability to define high-performance, scalable best practices.

Key Responsibilities:

• Architect and guide implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications

• Design and develop distributed, provider-agnostic AI architectures with performance guarantees including low latency, resilient failover, distributed scaling, and cost-efficiency

• Define architectural best practices for GenAI systems including prompt design, context shaping, fallback logic, caching, and real-time agent orchestration

• Lead AI model governance including evaluation and selection frameworks for multiple LLM providers, routing logic, benchmarking, and cost management

• Establish and monitor KPIs for LLM quality, latency, reliability, grounding accuracy, and system stability

• Ensure data security practices for handling of voice and transcript data, applying PII-safe methods, and supporting multi-tenant data isolation

• Own knowledge integration and RAG architecture including vector databases, retrieval strategies, chunking policies, and hybrid grounding methods

• Continuously evaluate new model capabilities and AI technology trends

Required Skills:

• Architectural judgment and hands-on expertise in AI and LLM systems • Experience designing scalable and low-latency AI architectures

• Knowledge of multi-provider LLM integration and orchestration

• Understanding of distributed systems, microservices, and load balancing

• Strong grounding in AI model governance and benchmarking

• Awareness of data security and privacy best practices

• Experience with retrieval-augmented generation (RAG) and vector databases

Preferred (Bonus) Skills:

• Experience with function-calling and knowledge graphs

• Familiarity with hybrid grounding and retrieval enhancement strategies • Experience with voice automation systems (STT/TTS pipelines). give me in a proper formate

Role Overview:

We are hiring dynamic, target-oriented, and self-motivated Business Development Executives who can drive international business growth and build long-term client relationships.

Key Responsibilities:

• Identify, research, and generate quality leads across international markets
• Reach out to potential clients via calls, emails, LinkedIn, and networking
• Understand client requirements and present customized IT service solutions
• Build and nurture strong customer relationships for repeat business
• Collaborate with the sales and technical team for proposal building
• Lead negotiations and close high-value deals successfully
• Track market trends, competitor analysis, and sales forecasts
• Maintain accurate sales records in CRM tools
• Extra Edge: Participate in international client calls and explore global opportunities

Required Qualifications & Skills:

• 1 to 1.5 years of proven experience in International IT Sales / Business Development
• Strong communication, presentation, and client handling skills
• Ability to achieve and exceed sales targets
• Proficiency in MS Office, CRM tools, and online research
• Strong negotiation and convincing abilities
• Self-driven with a growth mindset and result-oriented approach
• Extra Advantage: Prior experience with US, UK, or Middle East clients

Why Join Us?

• Exposure to international clients and global sales experience
• A young, energetic, and collaborative work environment at Ahmedabad

Job Description:

Position: Senior Manager- Data Analytics (Fintech Firm)

Experience: 5-8 Years

Location: Mumbai-Andheri

Employment Type: Full-Time

About Us:

We are a dynamic fintech firm dedicated to revolutionizing the financial services industry through innovative data solutions. We believe in leveraging cutting-edge technology to provide superior financial products and services to our clients. Join our team and be a part of this exciting journey.

Job Overview:

We are looking for a skilled Data Engineer with 3-5 years of experience to join our data team. The ideal candidate will have a strong background in ETL processes, data pipeline creation, and database management. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data systems and pipelines.

Key Responsibilities:

• Design and develop robust and scalable ETL processes to ingest and process large datasets from various sources.
• Build and maintain efficient data pipelines to support real-time and batch data processing.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Optimize database performance and ensure data integrity and security.
• Troubleshoot and resolve data-related issues and provide support for data operations.
• Implement data quality checks and monitor data pipeline performance.
• Document technical solutions and processes for future reference.

Required Skills and Qualifications:

• Bachelor's degree in Engineering, or a related field.
• 3-5 years of experience in data engineering or a related role.
• Strong proficiency in ETL tools and techniques.
• Experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
• Familiarity with big data technologies
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of data warehousing concepts and tools 
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of machine learning and data science principles.
• Experience with real-time data processing and streaming platforms (e.g., Kafka).

What We Offer:

• Competitive compensation package (10-15 LPA) based on experience and qualifications.
• Opportunity to work with a talented and innovative team in the fintech industry..
• Professional development and growth opportunities.

How to Apply:

If you are passionate about data engineering and eager to contribute to a forward-thinking fintech firm, we would love to hear from you.

Services: Data Scientist

Exp 8+yrs

Location: Pune (preference)

As a Data Scientist who can help us with our innovation lab initiative, you will be responsible for extracting insights from large datasets and turning them into actionable strategies to drive business decisions. You will collaborate with cross-functional teams to identify opportunities for leveraging data to solve business problems and improve processes.

Advanced Degree: PhD or equivalent in Computer Science, Data Science, Statistics, Mathematics, or a related field, demonstrating a strong foundation in theoretical and practical aspects of AI and machine learning.

Deep Technical Expertise: Proven track record of applying advanced statistical models, machine learning algorithms, and computational methodologies to solve complex problems in various domains.

Hands-on Experience with AI Technologies: Extensive experience in designing, implementing, and deploying AI solutions, including but not limited to natural language processing, computer vision, and predictive analytics projects.

Strong Programming Skills: Proficiency in programming languages such as Python, R, or Scala, and familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).

Data Manipulation and Analysis: Expertise in handling and analyzing large datasets using SQL, NoSQL, and data processing frameworks (e.g., Spark).

Excellent Communication Skills: Ability to clearly articulate complex technical concepts, findings, and the business value of AI solutions to both technical and non-technical stakeholders.

Understanding of AI Ethics and Bias: Knowledge of ethical AI practices, including bias detection and mitigation strategies, to ensure the development of fair and responsible AI systems.

Problem-Solving Ability: Demonstrated ability to apply analytical and creative thinking to complex challenges, with a track record of innovative solutions in AI.

Collaboration and Leadership: Experience working in cross-functional teams, with the ability to lead projects and mentor junior team members in AI methodologies and best practices.

Industry-Specific AI Application Knowledge: Demonstrated experience in applying AI solutions to real-world problems in industries such as healthcare, finance, retail, or manufacturing, showing a deep understanding of sector-specific challenges and opportunities.

LLM Development and Customization: Hands-on experience in developing, fine-tuning, and deploying Large Language Models for applications such as conversational agents, content generation, and semantic analysis.

Advanced Natural Language Understanding (NLU) and Generation (NLG): Expertise in leveraging LLMs for complex NLU and NLG tasks, demonstrating a deep understanding of language model capabilities and limitations.

About Intraedge: https://intraedge.com/ 

Intraedge is a Technology, Products and Learning Organization, It was founded in 2002 with offices in the US, India, Europe, Canada, and Singapore. We provide our clients with the resources and expertise to enhance business performance through technology. 

1. Create Exclusive Distributors (minimum 4 in 4 months) in your respective areas of operation

1. To work directly with the distributor and the sales executives in designing and implementing key marketing campaigns.

1. To actively engage yourself to collect inventory, stocks and work reports of the distributor in a

daily/weekly basis.

1. To look after smooth functioning and supply chain of the authorized distributor under your

periphery.

1. To oversee sales executive schedule and plan them accordingly.

1. To facilitate cross-functional communications among project stakeholders.

1. To actively engage yourself with core marketing policies required for business development.

1. To look after the grievances and claims arising from time to time maintaining proper

coordination with the company.

1. To actively follow other marketing strategies and instructions as and when instructed by the company.