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Machine Learning (ML)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.
Reporting To: Director / Business Head
Experience Required: 6+ years in core corporate event operations, including pan-India execution
Job Overview:
Seeking a highly experienced and detail-oriented Senior Operations Manager to lead the planning and seamless execution of corporate events across India. The role involves managing end-to-end event operations—from client brief to on-ground execution—for multi-location, large-scale corporate events. The individual will ensure timely, budget-friendly, and high-quality delivery of all operational elements.
Key Responsibilities:
1. Event Strategy & Execution
- Lead operations for formats like conferences, product launches, MICE, town halls, exhibitions, dealer meets, and employee engagement events
- Convert client briefs into structured execution plans with timelines and deliverables
- Create and manage project plans, logistics trackers, and checklists
2. Pan-India Project Handling
- Independently manage events across multiple states and cities
- Build and maintain a strong vendor and logistics network
- Conduct site visits, venue recces, and manage on-ground execution when needed
3. Vendor & Production Management
- Identify and onboard vendors for AV, fabrication, manpower, licensing, branding, etc.
- Negotiate pricing and manage quality, timelines, and regulatory compliance
4. Team Leadership & Internal Coordination
- Lead and mentor operations executives and on-ground managers
- Collaborate with internal teams including creative, design, accounts, and servicing
5. Client Communication
- Work closely with client servicing and handle operational discussions with clients
- Manage real-time problem-solving during events and ensure smooth client experience
6. Budget Control & Documentation
- Prepare cost sheets and vendor payment plans
- Ensure cost optimization without compromising quality
- Handle contracts, invoicing, and post-event reporting/documentation
Required Skills & Competencies:
- Minimum 6 years of corporate event operations experience
- Strong exposure to pan-India event execution
- Deep knowledge of production, AV, fabrication, logistics, and venue operations
- Proven multitasking, budgeting, and time management skills
- Team leadership, vendor/stakeholder management
- Strong communication, negotiation, and crisis-handling ability
Preferred Qualifications:
- Bachelor’s or Master’s in Event Management, Mass Communication, Hospitality, or similar
- PMP or other project management certification (optional)
- Prior experience in BTL/experiential marketing agencies working with corporate clients (FMCG, Pharma, IT, BFSI, etc.)
- Researching the various ways a particular product might be used, and who will use it.
- Sketching ideas and creating renderings, which are images on paper or on a computer that provide a visual of design ideas.
- Using computer software to develop virtual models of different designs.
- Creating physical prototypes of the designs.
- Examining materials and manufacturing requirements to determine production costs.
- Working with other specialists, such as engineers and manufacturers, to evaluate whether their design concepts will fill needs at a reasonable cost.
- Evaluating product safety, appearance, and function to determine if a design is practical.
- Presenting designs and demonstrate prototypes for approval.
- Working with engineers, production experts, and market research analysts to find out if their designs are feasible.
- Managing and building effective teamwork, bringing all stakeholder on board, training and leading a team of associates.
What you need to have:
- Must have handled Electronic Products development
- Should have experience as an Industrial designer and done demonstrations.
- Handled team and vendors, along with coordination with multiple departments
- Should be an effective communicator.
- Should have the speed that is keen to start ups.
- Strong Problem-solving skills.
- Must have experience in CAAD.
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