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What You will do:

● Play the role of Data Analyst / ML Engineer

● Collection, cleanup, exploration and visualization of data

● Perform statistical analysis on data and build ML models

● Implement ML models using some of the popular ML algorithms

● Use Excel to perform analytics on large amounts of data

● Understand, model and build to bring actionable business intelligence out of data that is available in different formats

● Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations







Basic Qualifications:

● Experience: 4+ years.

● Hands-on development experience playing the role of Data Analyst and/or ML Engineer.

● Experience in working with excel for data analytics

● Experience with statistical modelling of large data sets

● Experience with ML models and ML algorithms

● Coding experience in Python







Nice to have Qualifications:

● Experience with wide variety of tools used in ML

● Experience with Deep learning







Benefits:

● Competitive salary.

● Hybrid work model.

● Learning and gaining experience rapidly.

● Reimbursement for basic working set up at home.

● Insurance (including a top up insurance for COVID

·     Execute buying and selling of gold and silver bullion (bars, coins, and related products).

·     Monitor live bullion market trends, spot prices, premiums, and margins.

·     Maintain strong relationships with traders, refiners, banks, and brokers in Zaveri Bazaar.

·     Negotiate prices, margins, and credit terms with clients and suppliers.

·     Manage daily trading positions and inventory levels.

·     Coordinate with accounts and operations for billing, settlements, and reconciliations.

·     Ensure compliance with regulatory and company policies.

·     Identify new trading opportunities and expand client network.

·     Handle high-value cash/RTGS transactions securely and accurately.

·     Promote and market the company’s bullion and trading products directly to customers and business partners.

·      Conduct outdoor marketing activities, visits to clients, traders, and business hubs to generate leads.

·      Identify new market opportunities and expand customer networks within the bullion sector.

·     Maintain strong communication with existing clients and establish new business connections.

·     Participate in exhibitions, trade events, and industry gatherings to enhance brand visibility.

·     Provide market feedback, competitor insights, and customer needs to management.

·     Coordinate with internal teams to support sales activities and marketing campaigns.

·     Meet weekly/monthly targets for lead generation and client engagement.

Profile

Digital Marketing Manager (Trading Domain)

About Us

Tradelab Technologies is a leading FinTech and capital markets technology company, headquartered in India, which develops high-performance software solutions for stock brokers, trading platforms, and financial institutions. Founded in July 2012 and incubated by a special R&D cell at IIT Kharagpur, we are at the forefront of building the next generation of trading technology. Our product portfolio includes advanced trading terminals, order-management systems (OMS), risk-management systems (RMS), low-latency exchange platforms, multi-crypto wallet solutions, and KYC/Compliance systems. We are defined by our commitment to "low latency," "high performance," and "real-time" systems that power the industry.

Role

We are seeking a strategic and results-driven Digital Marketing Manager to lead our B2B marketing initiatives in the competitive FinTech and capital markets technology landscape. You will be responsible for developing and executing comprehensive digital

marketing strategies that drive brand awareness, lead generation, and customer engagement across institutional and enterprise client segments.

Key Responsibilities

● Develop and execute multi-channel digital marketing strategies targeting B2B audiences in the FinTech and capital markets ecosystem

● Manage end-to-end campaign planning, execution, and optimization across SEO, SEM, content marketing, email marketing, and social media platforms

● Create and oversee thought leadership content including whitepapers, case studies, and technical blogs that resonate with brokers, trading firms, and financial institutions

● Drive lead generation initiatives and optimize conversion funnels to support business development goals

● Manage marketing analytics and reporting, providing actionable insights to improve campaign performance and ROI

● Collaborate with product and sales teams to develop compelling product positioning and go-to-market strategies

● Oversee website management, ensuring optimal user experience and technical SEO performance

● Build and manage relationships with digital agencies, technology vendors, and industry partners

● Monitor industry trends, competitor activities, and emerging marketing technologies to maintain competitive advantage

Skills & Experience

● 5-6 years of proven experience in digital marketing, preferably in B2B technology or SaaS environments

● Prior experience in the FinTech or Capital Markets industry is mandatory

● Demonstrated expertise in SEO/SEM, content marketing, marketing automation, and performance analytics

● Strong understanding of B2B buyer journeys and enterprise sales cycles

● Proficiency with marketing tools such as Google Analytics, Google Ads, HubSpot, SEMrush, or similar platforms

● Excellent written and verbal communication skills with the ability to articulate complex technical concepts

● Data-driven mindset with strong analytical and problem-solving abilities

● Experience managing marketing budgets and optimizing spend across channels

● Bachelor's degree in Marketing, Business, or related field; MBA is a plus

Why Join Us?

Join a pioneering technology company that is revolutionizing the capital markets infrastructure.

At Tradelab, you'll have the opportunity to work on cutting-edge, high-performance trading technology that powers some of the most demanding real-time systems in the financial industry.Born from IIT Kharagpur's innovation ecosystem and backed by over a decade of domain expertise, we offer an environment where your contributions directly impact the future of trading technology. Be part of a high-growth FinTech journey where innovation meets execution.

**TL;DR:** Seeking an experienced Front-end Developer proficient in React and Next.js to build user-friendly interfaces for Proof of Skill, a blockchain-based protocol for skill verification and credentialing.

Proof of Skill protocol is a decentralized system where industry experts (Validators) evaluate candidates' skills and issue verifiable Skill Credentials. Organizations can then shortlist candidates based on these credentials.

**Qualifications and Skills:**

5+ years of experience in front-end development, with a strong focus on React and Next.js

Proficiency in JavaScript, HTML5, CSS3, and related front-end technologies

Solid understanding of React ecosystem, including Redux, React Router, and React Hooks

Experience with Next.js and its server-side rendering (SSR) and static site generation (SSG) capabilities

Familiarity with modern front-end build tools and workflows (e.g., Webpack, Babel, ESLint)

Knowledge of responsive design and cross-browser compatibility

Experience with RESTful APIs and integration with back-end services

Familiarity with web accessibility standards (WCAG) and best practices

Understanding of blockchain technology and decentralized applications (dApps) is a plus

**Responsibilities:**

Design and develop user-friendly interfaces for the Proof of Skill platform using React and Next.js

Implement reusable and modular front-end components following best practices

Integrate with blockchain-based back-end services and decentralized data sources

Optimize performance, scalability, and security of the front-end applications

Collaborate with the design team to ensure pixel-perfect implementation of UI/UX designs

Write clean, maintainable, and well-documented code

Participate in code reviews and ensure adherence to coding standards

Stay up-to-date with the latest front-end technologies, frameworks, and industry trends

**Ideal Candidate Traits:**

Strong problem-solving and analytical skills

Excellent communication and collaboration abilities

Attention to detail and commitment to writing clean, efficient code

Passion for creating intuitive and engaging user experiences

Entrepreneurial mindset and willingness to take ownership

Curiosity and eagerness to learn and grow in a dynamic environment

Experience building for crypto is a huge plus

Lifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.

Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day

Essential experience and requirements:

1. Advanced knowledge in the domains of computer vision, deep learning

2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design

3. Experienced with proper project workflow

4. Good at collating multiple datasets (potentially from different sources)

5. Good understanding of setting up production level data pipelines

6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)

7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation

8. Fundamental understanding of model and system explainability

9. Proactive at constantly unlearning and relearning

10. Documentation ninja - can understand others documentation as well as create good documentation

Responsibilities :

1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain

2. Maintain deployed systems and upgrade them through online learning

3. Develop and deploy advanced online data pipelines

LogiNext is looking for a technically savvy and passionate Principle Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 8 to 10 years of experience in data mining, data modeling, and reporting 5+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experience in leading a team required.