State Head - Maharashtra

Technomine Group is expanding its in-house accounting team and hiring for the following onsite roles at our CG Road, Ahmedabad office:

• Sr. Accounts Officer
• Jr. Accounts Officers (2 Positions)

Location: CG Road, Ahmedabad (Onsite)

Shift Timing: 1:30 PM–10:30 PM / 2:00 PM–11:00 PM IST

Working Days: 5.5 days per week

Accommodation: Provided with two meals per day for out-of-station candidates

• Current CTC
• Expected CTC
• Notice Period

Technomine Group of Companies

🌐 www.technomine.biz

Get an opportunity to work with Technomine’s in-house accounting team serving UK, US, Canada, and Australian clients — and gain international exposure in a professional, growth-driven setup.

Key Responsibilities:

• Manage Accounts Receivable (AR) & Accounts Payable (AP)
• Prepare and review VAT Returns under UK standards
• Maintain books and reports under GAAP
• Work extensively on Xero & QuickBooks
• Perform reconciliations, journal entries, and support month-end closing
• Collaborate with internal and client-side teams

Requirements:

• Graduate/Postgraduate in Accounting, Commerce, or Finance
• Mandatory: Experience with Xero, QuickBooks, VAT, GAAP, AR & AP
• Prior exposure to UK or international accounting preferred
• Strong analytical and communication skills

What We Offer:

• Competitive pay based on experience
• Global accounting exposure (UK/US/CA/AUS)
• Accommodation & meals for outstation candidates

Job Description – Technical Lead (Java Spring Boot + Angular)

Role Overview

We are looking for a highly skilled Technical Lead with strong experience in Java Spring Boot and Angular to lead a team of developers for a client project based out of Whitefield, Bangalore. The role requires hands-on development, design, architecture understanding, code review, and team coordination.

Key Responsibilities

• Lead a team of 9 developers and provide technical guidance.
• Perform hands-on development using Java, Spring Boot, Angular.
• Drive solution design, code quality, best practices, and performance optimization.
• Work closely with the client’s product owners and architects.
• Conduct code reviews, technical grooming, and sprint planning.
• Troubleshoot and resolve complex technical issues.
• Ensure timely delivery of modules with high quality.
• Mentor team members and support them in solving technical blockers.

Technical Skills Required

• Strong expertise in Java 8+, Spring Boot, REST APIs.
• Strong front-end experience with Angular 8+, TypeScript, HTML, CSS.
• Experience with SQL/NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.).
• Hands-on with Git, Maven/Gradle, Jenkins, CI/CD.
• Knowledge of cloud platforms (AWS) is an added advantage.
• Experience with Agile/Scrum methodologies.

Soft Skills

• Excellent communication and client-facing skills.
• Ability to lead, mentor, and motivate the team.
• Strong problem-solving and analytical skills.

Job description

We are looking for a Data Scientist with strong AI/ML engineering skills to join our high-impact team at KrtrimaIQ Cognitive Solutions. This is not a notebook-only role — you must have production-grade experience deploying and scaling AI/ML models in cloud environments, especially GCP, AWS, or Azure.

This role involves building, training, deploying, and maintaining ML models at scale, integrating them with business applications. Basic model prototyping won't qualify — we’re seeking hands-on expertise in building scalable machine learning pipelines.

Key Responsibilities

Design, train, test, and deploy end-to-end ML models on GCP (or AWS/Azure) to support product innovation and intelligent automation.

Implement GenAI use cases using LLMs

Perform complex data mining and apply statistical algorithms and ML techniques to derive actionable insights from large datasets.

Drive the development of scalable frameworks for automated insight generation, predictive modeling, and recommendation systems.

Work on impactful AI/ML use cases in Search & Personalization, SEO Optimization, Marketing Analytics, Supply Chain Forecasting, and Customer Experience.

Implement real-time model deployment and monitoring using tools like Kubeflow, Vertex AI, Airflow, PySpark, etc.

Collaborate with business and engineering teams to frame problems, identify data sources, build pipelines, and ensure production-readiness.

Maintain deep expertise in cloud ML architecture, model scalability, and performance tuning.

Stay up to date with AI trends, LLM integration, and modern practices in machine learning and deep learning.

Technical Skills Required Core ML & AI Skills (Must-Have):

Strong hands-on ML engineering (70% of the role) — supervised/unsupervised learning, clustering, regression, optimization.

Experience with real-world model deployment and scaling, not just notebooks or prototypes.

Good understanding of ML Ops, model lifecycle, and pipeline orchestration.

Strong with Python 3, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Seaborn, Matplotlib, etc.

SQL proficiency and experience querying large datasets.

Deep understanding of linear algebra, probability/statistics, Big-O, and scientific experimentation.

Cloud experience in GCP (preferred), AWS, or Azure.

Cloud & Big Data Stack

Hands-on experience with:

GCP tools – Vertex AI, Kubeflow, BigQuery, GCS

Or equivalent AWS/Azure ML stacks

Familiar with Airflow, PySpark, or other pipeline orchestration tools.

Experience reading/writing data from/to cloud services.

Qualifications

Bachelor's/Master’s/Ph.D. in Computer Science, Mathematics, Engineering, Data Science, Statistics, or related quantitative field.

4+ years of experience in data analytics and machine learning roles.

2+ years of experience in Python or similar programming languages (Java, Scala, Rust).

Must have experience deploying and scaling ML models in production.

Nice to Have

Experience with LLM fine-tuning, Graph Algorithms, or custom deep learning architectures.

Background in academic research to production applications.

Building APIs and monitoring production ML models.

Familiarity with advanced math – Graph Theory, PDEs, Optimization Theory.

Communication & Collaboration

Strong ability to explain complex models and insights to both technical and non-technical stakeholders.

Ask the right questions, clarify objectives, and align analytics with business goals.

Comfortable working cross-functionally in agile and collaborative teams.

Important Note:

This is a Data Science-heavy role — 70% of responsibilities involve building, training, deploying, and scaling AI/ML models.

Cloud experience is mandatory (GCP preferred, AWS/Azure acceptable).

Only candidates with hands-on experience in deploying ML models into production (not just notebooks) will be considered.

1. Research for relevant resumes from various job portals

2. Shortlisting of relevant candidates and sharing it with the HR team

3. Connecting to the candidates and collecting data for analysis of the profile

4. Doing the first round of interviews to ascertain that the JD requirements are met

5. Aligning online/physical interview with the candidates with the HR/Operations team

6. Roll out offer letters & relevant joining documents and receive acceptance

7. Ascertain reporting to work on the joining date

Job Description:

1. Achieving enrolment targets (End to End sales)

2. Lead generation through cold calling.

3. Identifying suspects and prospects.

4. Meeting & Counselling prospective students (mostly working executives in various industries).

Location: Mumbai (Chembur, Goregaon)

Experience: 0-3 Years Inside Sales (Ed Tech is a plus)

One who have sold technical cources would be preferred

CS/IT Freshers with Excellent communication skills would be considered

Salary Range: 40-50k per month + Monthly Incentives

Skills

strong communication and presentation skills

• the ability to influence and negotiate with others
• commercial awareness
• the ability to think creatively and strategically
• organisational skills
• self-motivation and the ability to be motivated by targets
• resilience
• basic IT skills.

Role & Responsibilities:

• Design and build advanced applications for the iOS platform
• Collaborate with cross-functional teams to define, design, and ship new features
• Work with outside data sources and APIs
• Integrate features with wearables and other IoT devices
• Unit-test code for robustness, including edge cases, usability, and general reliability
• Work on bug fixing and improving application performance
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency

Education & Qualification Requirement:

• Bachelor of Engineering, preferably in Computer Science of Information Technology

Desired Skills and Experience:

• You have 3+ years of iOS app development experience using Swift.
• Published apps in the App store
• Have a good sense of how networked applications (Web services/REST APIs and JSON) work
• Well versed with server side syncing, database handling etc.
• Sharp analytical skills - find out edge cases both in code and usability/product.
• Ability to learn and adapt fast.
• Collaborate with cross-functional teams to define, design, and ship new features.
• 2+ years experience in any UNIX environment
• Experience implementing and maintaining unit tests
• Interest in privacy and the protection of personal information
• Good grasp of the fundamentals of UI layout designing, mobile UI components, using common themes and styles.
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies.
• Strong understanding of design patterns, or an opinion on why they're overrated.

What you’ll do

• Deliver plugins for our Python-based ETL pipelines.
• Deliver Python microservices for provisioning and managing cloud infrastructure.
• Implement algorithms to analyse large data sets.
• Draft design documents that translate requirements into code.
• Deal with challenges associated with handling large volumes of data.
• Assume responsibilities from technical design through technical client support.
• Manage expectations with internal stakeholders and context-switch in a fast paced environment.
• Thrive in an environment that uses AWS and Elasticsearch extensively.
• Keep abreast of technology and contribute to the engineering strategy.
• Champion best development practices and provide mentorship.

What we’re looking for

• Experience in Python 3.
• Python libraries used for data (such as pandas, numpy).
• AWS.
• Elasticsearch.
• Performance tuning.
• Object Oriented Design and Modelling.
• Delivering complex software, ideally in a FinTech setting.
• CI/CD tools.
• Knowledge of design patterns.
• Sharp analytical and problem-solving skills.
• Strong sense of ownership.
• Demonstrable desire to learn and grow.
• Excellent written and oral communication skills.
• Mature collaboration and mentoring abilities.

About SteelEye Culture

• Work from home until you are vaccinated against COVID-19
• Top of the line health insurance • Order discounted meals every day from a dedicated portal
• Fair and simple salary structure
• 30+ holidays in a year
• Fresh fruits every day
• Centrally located. 5 mins to the nearest metro station (MG Road)
• Measured on output and not input