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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.

• A bachelor’s degree in Computer Science or a related field.
• 5-7 years of experience working as a hands-on developer in Sybase, DB2, ETL technologies. 
• Worked extensively on data integration, designing, and developing reusable interfaces Advanced experience in Python, DB2, Sybase, shell scripting, Unix, Perl scripting, DB platforms, database design and modeling.
• Expert level understanding of data warehouse, core database concepts and relational database design.
• Experience in writing stored procedures, optimization, and performance tuning Strong Technology acumen and a deep strategic mindset.
• Proven track record of delivering results 
• Proven analytical skills and experience making decisions based on hard and soft data
• A desire and openness to learning and continuous improvement, both of yourself and your team members.
• Hands-on experience on development of APIs is a plus 
• Good to have experience with Business Intelligence tools, Source to Pay applications such as SAP Ariba, and Accounts Payable system Skills Required
• Familiarity with Postgres and Python is a plus

Job Description: .NET Core Developer with C# and Angular

We are looking for a skilled .NET Core Developer with experience in C# and Angular to design, develop, and maintain web applications. You will work on both the front-end and back-end, delivering high-quality solutions in a collaborative environment.

Key Responsibilities:

• Develop and maintain web applications using .NET Core, C#, and Angular.
• Design and implement RESTful APIs and integrate with front-end components.
• Ensure application performance, scalability, and security.
• Collaborate with cross-functional teams to define and deliver software features.
• Troubleshoot, debug, and optimize code.
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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

• Backend development along with team management
• Hands on experience in product development 
• Preferred candidates from Fintech and Banking sectors
• Exp in Python / Java slong with databases like MySQL, NoSQL, etc
• Knowledge of Agile methodology