Customer Support executive

🚀 We’re Hiring: Crypto Trader – Trade Fast, Think Smart, Scale Big

📍 Location: Permanent Remote

🕒 Type: Full-Time

📊 Experience: 1–3 Years (or proven self-taught pro)

About the Role

We’re building a proprietary crypto trading desk for sharp, disciplined, and driven traders. If you live for the markets, thrive in volatility, and can turn chaos into opportunity, this role gives you the chance to trade serious capital with the right tools and mentorship.

What You’ll Do

-Live Crypto Trading: Trade BTC, ETH & altcoins on spot and derivatives (Binance, Bybit & more).

-Market Analysis: Study price action, volume, funding rates, liquidation clusters & macro catalysts.

-Tools & Platforms: Use TradingView, TensorCharts, Coinglass & more for real-time insights.

-Strategy Execution: Run scalps, breakouts, trend-following, mean reversion & news-based trades.

-Collaboration: Work with quant & trading teams to refine or automate setups.

-Risk Management: Follow stop-loss, leverage discipline & drawdown limits—strategy over emotion.

-Journaling & Reviews: Maintain detailed trade logs & engage in weekly P&L review sessions.

You’re a Fit If You…

✔ Already trade crypto (personal account or at a desk).

✔ Understand liquidity zones, market structure & volatility.

✔ Thrive in 24/7, high-paced trading environments.

✔ Are flexible with market hours & global schedules.

✔ Love exploring new trading tools, data, and platforms.

What We Offer

⚡ Pro Setup: Institutional-grade terminals, real-time tools & blazing-fast connectivity.

📈 Unlimited Payouts: Performance bonuses with no cap—you win, you earn.

🎯 Mentorship: Learn directly from senior crypto & derivatives traders.

🚀 Growth Culture: Weekly strategy sessions, alpha sharing & market explorations.

🤝 Flat Team Vibes: No ego, no politics—just market focus.

Requirements :

Currently pursuing or recently completed a Bachelor's or Master's degree in Business Administration, Marketing or a related field.

Strong communication skills, both written and verbal.

Proficiency in conducting market research and analyzing data.

Excellent organizational skills and attention to detail.

Proficiency in MS Office (Word, Excel, PowerPoint) and other relevant software.

Eagerness to learn and contribute to the company's success.

Job Description: Field Sales Executive (BDE)

Company: A2M Technologies Pvt Ltd.

Job Type: Field Work

Location: L376/A, 14th B Cross Road, Sector 6, HSR Layout, Bengaluru, Karnataka - 560102

About A2M Technologies Pvt Ltd.: A2M Technologies is a Bangalore-based leader in IT and cloud solutions, offering services such as cloud computing, telecommunication, IoT, SaaS, cybersecurity, and managed IT solutions. With over 10 years of expertise, we specialize in scalable, secure, and innovative solutions that empower businesses to thrive in a competitive market.

Key Responsibilities:

• Identify and develop new business opportunities through market research and networking.

• Engage with potential clients to explain A2M's solutions, including cloud services, IoT solutions, and IT infrastructure.

• Support the sales team in lead generation, cold calling, and client follow-ups.

• Work closely with cross-functional teams to align sales strategies with company goals.

• Assist in preparing sales pitches, presentations, and reports.

• Maintain and update the CRM with client interactions and data.

Required Skills:

• Excellent communication and interpersonal skills.

• Ability to learn quickly about IT services and products.

• Basic understanding of sales processes and techniques (training will be provided).

• Proficiency in MS Office and an ability to work with CRM tools.

• A proactive and problem-solving mindset. Qualifications:

• Bachelor’s degree in any discipline.

• Fresh graduates or candidates with up to 1 year of experience in any field are encouraged to apply.

• A passion for technology and a willingness to grow in the business development field.

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

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Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

Responsibilities:

• Take on complex problems that span multiple components and teams.

• Independently own one or more multiple modules, which include: requirement analysis, design, development, maintenance & support

• Write extensive, efficient code to address complex modules that handle the interaction between multiple components.

• Rapidly iterate to add new functionalities and solves complex problems with simple and intuitive solutions

• Produce architecture with clean interfaces, that are efficient and scalable

• Participate and contribute to architectural discussions

• Solve production issues. Investigate and provide solutions to minimize the business impact due to the outage

• Continuously improve performance metrics of modules you own.

• Collaborate effectively across teams to solve problems, execute and deliver results

Requirements:

• Experience: 3+ years

• A Bachelor's or Master's Degree in Computer Science

• Software engineering and product delivery experience, with a strong background in algorithms

• Experience in architecting & building real-time, large-scale e-commerce applications

• Experience with high-performance websites catering to millions of daily traffic is a plus

• Excellent command over Data Structures and Algorithms

• Experience with web technologies, Go/Java/Python

• Language: GO or Python

• Strong expertise in DS and Algo

• Strong leadership skills - have experience mentoring, building products from scratch or incumbent in design and architecture.

• Have worked in the scaling of the system right from scratch.

• Someone worked in small user base to a large user base and wrote optimized code

• Both HLD and LLD

Desired Candidate Profile

• MBA from a premier institute/ CFA (USA)/ CA (ICAI)
• 2-4 years of post-qualification experience
• Clear financial and quantitative concepts
• Strong logical and analytical abilities
• Good communication, presentation and inter-personal skills
• Very strong Microsoft Excel financial modelling skills
• Openness to travel overseas for extended periods (3-4 weeks) for client meetings and on-site execution    

Headquartered in Bangalore, our client is the world's first cross-border neobank that focuses on credit and banking requirements of those migrating from India to the US. This revolutionary startup helps you apply for a bank account and a high-limit credit card with minimal documentation and absolutely no application fee while you are still in your home country.

The company is truly simplifying the financial world by making global financial products easily accessible to global citizens. Their mission is backed by tier 1 VCs and they have already raised in excess of 55 mn dollars within the last one year.

As an Onboarding Specialist, you will be responsible for owning and managing customer relationships from registration/ sign-up through successful conversion/ transaction.

• Guiding new customers through the onboarding process
• Ensuring bona fide users enjoy a seamless journey
• Interacting with the users through chat, email and voice upholding the highest standard of communication and courtesy
• Executing initiatives that center around compliance and regulatory requirements
• Working cross-functionally with marketing, product, sales, and support teams to improve the onboarding process

Desired Candidate Profile

• 1-2 years of experience in sales, CRM or as onboarding specialist
• Excellent oral and written communication skills, with proficiency in English and any second language
• Exceptional organisational skill
• Excellent creative and critical thinking skills
• Adaptability and flexibility with the willingness and ability to shift strategies on a dime to meet the needs of our customers
• Proven ability to manage multiple complex customer journeys at once    

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Python analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the Python community to understand the problems with static analysis tools in the ecosystem.

• Identify bad code practices in Python and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 2 years of professional software development experience in Python.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Python best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

• 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
• Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
• Experience in Data warehousing, Data modeling, and Data architecture.
• Expert level proficiency with the relational and NoSQL databases.
• Expert level proficiency in Python, and PySpark.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
• Familiarity with cloud services (preferable AWS)
• Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.