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.

Job description

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.

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About krtrimaiq cognitive solutions

Founded :

2019

Type :

Products & Services

Size :

20-100

Stage :

Profitable

About

N/A

Company social profiles

N/A

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What you need to have:

Bachelor’s degree in finance, accounting, economics, business administration or related field (MBA preferred)
FRM or CFA is a plus
Highly skilled in Math and Finance
Good connection around investors in the market and can get them onboard
Ability to understand the Income structure in a Fintech environment
Strong analytical skills
Excellent communication skills
Strong time-management skills
Negotiation and project management skills
Excellent critical thinking skills
Working knowledge of business and data intelligence software

Headquartered in Delhi, our client was co-founded by three veteran entrepreneurs who are BITS Pilani alumni.

As a Investor Relations Manager, you will be responsible for understanding the integration of credit and managing it.

What you will do:

Managing current investors onboard and maintaining a healthy relationship with them
Preparing financial statements, business activity reports and forecasts
Fostering and maintaining positive client relationships
Managing due diligence and legal compliance
Reviewing financial reports to find ways to reduce costs
Compiling and presenting asset management reports to clients, supervisors and senior executives
Contributing to team efforts by accomplishing related tasks as needed
Understanding, obtaining Income inputs from the various internal stakeholders
Closely following up with clients for submission of invoices and collection of payments within a TAT

Desired Candidate Profile

What you need to have:

Bachelor’s degree in finance, accounting, economics, business administration or related field (MBA preferred)
FRM or CFA is a plus
Highly skilled in Math and Finance
Good connection around investors in the market and can get them onboard
Ability to understand the Income structure in a Fintech environment
Strong analytical skills
Excellent communication skills
Strong time-management skills
Negotiation and project management skills
Excellent critical thinking skills
Working knowledge of business and data intelligence software

Account Manager

at Met Technologies

1 video

1 recruiter

Posted by ipsita das

Kolkata

5 - 15 yrs

₹2L - ₹4L / yr

Tally

Taxation

Finance

Filing

Accounting

+2 more

Work From Office

1. Filing TDS Return/GST Return/Professional Tax payment

2. Filing of Income Tax return

3. Ensure books of accounts are complete and accurate on a regular basis.

4. Recording expense incurred after due approvals. Monthly balance reconciliation of the same.

5. Review & Reconciliation of Creditors, Bill verification, and payment processing

6. Having a sound knowledge on Tally Erp 9

9. Maintenance of BRS of the company.

Interested Candidates please Contact HR Ipsita

*Working- Monday-Friday (10AM-7PM)/(10:30AM-7:30PM)

Product Manager

A Tech Logistics company backed by large VC firm

Agency job

via Talentiser by Ravi Wadhwa

Mumbai

2 - 7 yrs

₹18L - ₹30L / yr

Product Management

Product Strategy

Product Lifecycle Management (PLM)

What will you be required to do? You will be responsible for determining customers' needs and desires by specifying the research needed to obtain market information. You will recommend the nature and scope of present and future product lines by reviewing product specifications and requirements; appraising new product ideas and/or product or design changes. You will have to continuously assesses market competition by comparing the company's product to competitors' products. You will be providing source data for product line communications by defining product marketing communication objectives. You will have to pioneer in bringing new products to market by analyzing proposed product requirements and product development programs; preparing returnon- investment analyses; establishing time schedules with engineering and business. You will be required to maintain professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. You will the complete owner of the product and will be responsible for detailing out each and every specification in the product document. Does this sound like you?  You have 3-8 years of experience in building a consumer facing product and have created an impact  You are transparent about your prioritization and roadmap process  You have the ability to Say “No,” but explain why in terms that stakeholders understand  You are a ruthless prioritizer while balancing the needs of customers and stakeholders  You bring evidence-based decision-making in your communication  You are able to communicate and derive the maximum out of the business leads  You have excellent leadership, communication and detailing skills  You hold a degree from a premium MBA college or engineering graduate from Tier 1 institutes  You are a research oriented self-starter with genuine curiosity of looking at the bigger picture - constantly seeking out ways to improve customer experience  Interest and background in technologies and the logistics sector are an added bonus  You hold a degree from a premium college, you will still be tested on IQ and SQ. We use this to filter but we don’t hold this against you.  You manage your day by work and not by watch.  If this sounds like the perfect opportunity for you, get in touch with us. We can’t wait to hear from you!

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