Chartered Accountant

Primary skill set: QA Automation, Python, BDD, SQL 

As Senior Data Quality Engineer you will:

• Evaluate product functionality and create test strategies and test cases to assess product quality.
• Work closely with the on-shore and the offshore team.
• Work on multiple reports validation against the databases by running medium to complex SQL queries.
• Better understanding of Automation Objects and Integrations across various platforms/applications etc.
• Individual contributor exploring opportunities to improve performance and suggest/articulate the areas of improvements importance/advantages to management.
• Integrate with SCM infrastructure to establish a continuous build and test cycle using CICD tools.
• Comfortable working on Linux/Windows environment(s) and Hybrid infrastructure models hosted on Cloud platforms.
• Establish processes and tools set to maintain automation scripts and generate regular test reports.
• Peer review to provide feedback and to make sure the test scripts are flaw-less.

Core/Must have skills:

• Excellent understanding and hands on experience in ETL/DWH testing preferably DataBricks paired with Python experience.
• Hands on experience SQL (Analytical Functions and complex queries) along with knowledge of using SQL client utilities effectively.
• Clear & crisp communication and commitment towards deliverables
• Experience on BigData Testing will be an added advantage.
• Knowledge on Spark and Scala, Hive/Impala, Python will be an added advantage.

Good to have skills:

• Test automation using BDD/Cucumber / TestNG combined with strong hands-on experience with Java with Selenium. Especially working experience in WebDriver.IO
• Ability to effectively articulate technical challenges and solutions
• Work experience in qTest, Jira, WebDriver.IO

We are seeking a highly skilled Senior/Lead Data Scientist with deep expertise in AI/ML/Gen AI, including Deep Learning, Computer Vision, and NLP. The ideal candidate will bring strong hands-on experience, particularly in building, fine-tuning, and deploying models, and will work directly with customers with minimal supervision.

This role requires someone who can not only lead and execute technical projects but also actively contribute to business development through customer interaction, proposal building, and RFP responses. You will be expected to take ownership of AI project execution and team leadership, while helping Tekdi expand its AI footprint.

Key Responsibilities:

Contribute to AI business growth by working on RFPs, proposals, and solutioning activities.

• Lead the team in delivering customer requirements, ensuring quality and timely execution.

Develop and fine tune advanced AI/ML models using deep learning and generative AI techniques.

• Fine-tune and optimize Large Language Models (LLMs) such as GPT, BERT, T5, and LLaMA.
• Interact directly with customers to understand their business needs and provide AI-driven solutions.
• Work with Deep Learning architectures including CNNs, RNNs, and Transformer-based models.
• Leverage NLP techniques such as summarization, NER, sentiment analysis, and embeddings.
• Implement MLOps pipelines and deploy scalable AI solutions in cloud environments (AWS, GCP, Azure).
• Collaborate with cross-functional teams to integrate AI into business applications.
• Stay updated with AI/ML research and integrate new techniques into projects.

Required Skills & Qualifications:

• Minimum 6 years of experience in AI/ML/Gen AI, with at least 3+ years in Deep Learning/Computer Vision.
• Strong proficiency in Python and popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn).
• Hands-on experience with LLMs and generative models (e.g., GPT, Stable Diffusion).
• Experience with data preprocessing, feature engineering, and performance evaluation.
• Exposure to containerization and cloud deployment using Docker, Kubernetes.
• Experience with vector databases and RAG-based architectures.
• Ability to lead teams and projects, and work independently with minimal guidance.
• Experience with customer-facing roles, proposals, and solutioning.

Educational Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Information Technology, or related field.

Preferred Skills (Good to Have):

• Knowledge of Reinforcement Learning (e.g., RLHF), multi-modal AI, or time-series forecasting.
• Familiarity with Graph Neural Networks (GNNs).
• Exposure to Responsible AI (RAI), AI Ethics, or AutoML platforms.
• Contributions to open-source AI projects or publications in peer-reviewed journals.

Role: GCP Data Engineer

Notice Period: Immediate Joiners

Experience: 5+ years

Location: Remote

Company: Deqode

About Deqode

At Deqode, we work with next-gen technologies to help businesses solve complex data challenges. Our collaborative teams build reliable, scalable systems that power smarter decisions and real-time analytics.

Key Responsibilities

• Build and maintain scalable, automated data pipelines using Python, PySpark, and SQL.
• Work on cloud-native data infrastructure using Google Cloud Platform (BigQuery, Cloud Storage, Dataflow).
• Implement clean, reusable transformations using DBT and Databricks.
• Design and schedule workflows using Apache Airflow.
• Collaborate with data scientists and analysts to ensure downstream data usability.
• Optimize pipelines and systems for performance and cost-efficiency.
• Follow best software engineering practices: version control, unit testing, code reviews, CI/CD.
• Manage and troubleshoot data workflows in Linux environments.
• Apply data governance and access control via Unity Catalog or similar tools.

Required Skills & Experience

• Strong hands-on experience with PySpark, Spark SQL, and Databricks.
• Solid understanding of GCP services (BigQuery, Cloud Functions, Dataflow, Cloud Storage).
• Proficiency in Python for scripting and automation.
• Expertise in SQL and data modeling.
• Experience with DBT for data transformations.
• Working knowledge of Airflow for workflow orchestration.
• Comfortable with Linux-based systems for deployment and troubleshooting.
• Familiar with Git for version control and collaborative development.
• Understanding of data pipeline optimization, monitoring, and debugging.

• Define and execute innovation pipeline for the brand – knowing the stage Gate process
• Conceptualizing & launching new products – have past successes in conceptualizing a brand from scratch / repositioning etc.
• Responsible for driving and delivering business results on the brand
• Identify opportunities for the brand to grow which involves forecasting consumer insights and any opportunities and/or threats emerging from the competitive or technology landscape.
• Custodian of data for the portfolio; Analyse & Publish analytics for relevant categories/brand to aid critical brand decision making
• Work with activation and creative agencies on aspects like artwork, adaptations, in-store activations etc.

• Category Management
• Understanding of Marketing Communication Development and Assessment
• Strong Analytical Skills
• Knowledge of Business & Financial Analysis

What you will do:

• Understand the process of CaaStle business teams, KPIs, and pain points
• Build scalable data products, self-service tools, data cubes to analyze and present data associated with acquisition, retention, product performance, operations, client services, etc.
• Closely partner with data engineering, product, and business teams and participate in requirements capture, research design, data collection, dashboard generation, and translation of results into actionable insights that can add value for business stakeholders
• Leverage advanced analytics to drive key success metrics for business and revenue generation
• Operationalize, implement, and automate changes to drive data-driven decisions
• Attend and play an active role in answering questions from the executive and/or business teams through data mining and analysis

We would love for you to have:

• Education: Advanced degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics or related field is required
• Experience: 2-4 years of professional experience
• Proficiency in data visualization/reporting tools (i.e. Tableau, Qlikview, etc.)
• Experience in A/B testing and measure performance of experiments
• Strong proficiency with SQL-based languages. Experience with large scale data analytics technologies (i.e., Hadoop and Spark)
• Strong analytical skills and business mindset with the ability to translate complex concepts and analysis into clear and concise takeaways to drive insights and strategies
• Excellent communication, social, and presentation skills with meticulous attention to detail
• Programming experience in Python, R, or other languages
• Knowledge of Data mining, statistical modeling approaches, and techniques

CaaStle is committed to equality of opportunity in employment. It has been and will continue to be the policy of CaaStle to provide full and equal employment opportunities to all employees and candidates for employment without regard to race, color, religion, national or ethnic origin, veteran status, age, sexual orientation, gender identity, or physical or mental disability. This policy applies to all terms, conditions and privileges of employment, such as those pertaining to training, transfer, promotion, compensation and recreational programs.

Job Title: AI & Automation, Software Specialist 

Location: Pune, India  

Start Date: Immediate

Job Description:

MBI/MTL Dashboard Automation Plan

• Sage Cloud → Zapier → Google Sheets → Looker Studio Pro
• P&L, VAT, aged debtors, top 10 customers report
• Logistics dashboards from Cin7 and Sage sync
• Real-time visibility for finance, operations, warehouse, and directors
• Internal setup — no external consultants

Techtron AI Content Engine

• Automate content: blogs → videos → press releases → campaign triggers
• Multilingual content across Shopify, Klaviyo, WhatsApp, QuickCEP, GA4
• Weekly publishing: 6 blogs + 12 branded videos across 30+ languages
• Tools: ChatGPT, Copy.ai, Synthesia, Canva, DeepL, SurferSEO, Zapier, Make.com

 Role Requirements – AI & Automation Software Expert

This role must own and deliver:

• AI workflow and system automation (Zapier, Make.com, ChatGPT, Synthesia, Fireflies, QuickCEP)
• Automation stack across Sage, Shopify, Zoho, Cin7, Klaviyo, QuickCEP, WhatsApp
• SEO + LLMO-based content and campaign automation (SurferSEO, Google Trends)
• CRM + analytics integrations (GA4, Shopify, Looker, QuickCEP, Klaviyo)
• Dashboard logic: Sage → Google Sheets → Looker Studio Pro
• Logistics + sales + accounts + CRM + product syncing via Zapier & Cin7 export bridges

They must:

• Have deep Zapier and automation experience
• Show measurable daily/weekly output
• Work with Imran, Rao, Rizwana, Danyaal and all cross-functional teams (CRM, Content, Sales, Logistics, Accounts)
• Have proven expertise in full-stack automation across ERP, CRM, eCom, and dashboards, not just IT support

What We’re Building – Techtron 2.0 AI Sales & Operations Intelligence System

Phase 1: AI Call Logging (via Fireflies, Wildix, or Zoho Voice)

• Auto-recorded
• Transcribed
• Logged into Zoho CRM
• Summarised by AI (ChatGPT/Zia)
• Tagged with key sales outcomes

Phase 2: AI Feedback & Coaching

• AI evaluates objection handling, tone, intent, and recommends next steps

Phase 3: Nearby Lead Suggestions

• AI suggests stronger leads nearby based on traffic, fit, and intent

Phase 4: Live Dashboards

• Auto-generated via Looker Studio & Zoho Analytics

Phase 5: AI Lead Scoring & Smart Replacements

• Uses Apollo, Crunchbase, Similarweb to replace weak leads with better-fit ones

LogiNext is looking for a technically savvy and passionate Senior Software 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 4 to 7 years of experience in data mining, data modeling, and reporting 3+ 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. Experince in team management.

Job description

Roles and Responsibilities

• Must have experience in generating leads for IT services like Mobile App, Software Development, Web Application ( For International Market )
• Lead generation of new leads for regular sales cycles for IT Industry.
• Good Knowledge of lead generation and market research through Linkedin and Email.
• Who can build the tie-ups with the IT companies from USA,UK and Europe.
• Develop and maintain relationships with key stakeholders to ensure that all lead sources are properly identified, tracked and optimized in order to maximize revenue.
• Oversee client relationship management through direct contact and other channels as needed.
• Provide support on marketing initiatives.
• Work closely with sales managers/representatives to develop strategies to drive conversion rates across multiple channels.

Desired Candidate Profile

• Bachelor's degree in business, marketing or related field
• Minimum of 5 years of experience as a lead generation specialist with an emphasis on lead generation and/or sales automation
• Experience working within the marketing industry is preferred
• Must have strong communication skills
• Strong analytical abilities

Office Timing : 12 PM to 9 PM

Regards

Responsibilities -

• Working closely with the manager or assigned inside-sales rep, and completing all allocated tasks.
• Conducting desktop research, gathering prospect information through LinkedIn or using tools on the Web.
• Observing and carrying out inside sales processes.
• Joining sales calls and helping them in recording main points.
• Research and generate lists of potential customers or companies.
• Provide input on customer briefs and help sales rep with presentations.

Requirements -

• Good Communication skills both written and verbal and the ability to build genuine rapport
• Fluency in English with strong verbal and written communication
• Passionate about sales and willing to learn new things.
• Ability to work in a fast-paced team environment
• Experience with PowerPoint, Word, and Excel preferred.
• A Master's Degree is preferable.
• Superb interpersonal skills.
• A professional appearance.

Benefits -

• Work on increasingly challenging and engaging real-world projects
• Gain hands-on experience in each stage of the sales funnel
• Collaborate with experienced sales professionals.

We are a self organized engineering team with a passion for programming and solving business problems for our customers. We are looking to expand our team capabilities on the DevOps front and are on a lookout for 4 DevOps professionals having relevant hands on technical experience of 4-8 years. 

We encourage our team to continuously learn new technologies and apply the learnings in the day to day work even if the new technologies are not adopted. We strive to continuously improve our DevOps practices and expertise to form a solid backbone for the product, customer relationships and sales teams which enables them to add new customers every week to our financing network.

As a DevOps Engineer, you :

- Will work collaboratively with the engineering and customer support teams to deploy and operate our systems. 

- Build and maintain tools for deployment, monitoring and operations.

- Help automate and streamline our operations and processes. 

- Troubleshoot and resolve issues in our test and production environments. 

- Take control of various mandates and change management processes to ensure compliance for various certifications (PCI and ISO 27001 in particular) 

- Monitor and optimize the usage of various cloud services. 

- Setup and enforce CI/CD processes and practices

Skills required :

- Strong experience with AWS services (EC2, ECS, ELB, S3, SES, to name a few)

- Strong background in Linux/Unix administration and hardening 

- Experience with automation using Ansible, Terraform or equivalent 

- Experience with continuous integration and continuous deployment tools (Jenkins) 

- Experience with container related technologies (docker, lxc, rkt, docker swarm, kubernetes)

- Working understanding of code and script (Python, Perl, Ruby, Java)

- Working understanding of SQL and databases 

- Working understanding of version control system (GIT is preferred) 

- Managing IT operations, setting up best practices and tuning them from time-totime. 

- Ensuring that process overheads do not reduce the productivity and effectiveness of small team. - Willingness to explore and learn new technologies and continuously refactor thetools and processes.