11+ Portfolio management Jobs in Kochi (Cochin) | Portfolio management Job openings in Kochi (Cochin)

In today’s marketing-dependent consumer world, businesses demand innovative brand solutions and our client is engaged in providing brand solutions across businesses. They import renowned global brands & distribute the same. They have a dedicated eCommerce practice to build digital retail footprints for their brands in India. They focus on major categories under FMCG such as F&B, Personal care, etc. and also Home & Fabric Care.

Founded in 2003, our client has over 250 Pan-India Distributors and more than 300 SKUs. They deal with 25+ brands and some of the brands are Mogu Mogu, SAN REMO, Simpkins, Moccona, OMINO BIANCO, etc.

As a Assistant Manager - Business Intelligence, you will be responsible for support building and executing portfolio and respective brand execution strategy by mining, understanding, internalising, and creating action stands about inflow and outflow of information from different internal and external sources.

• Assimilating sales & inventory data streams from different ecommerce partners daily
• Planning different inventory streams for all portfolio brands vis--vis PO requirements
• Building future projection models for brands to support healthy and sufficient inventory capacities

Desired Candidate Profile

• Self direction
• Ability to think beyond operational hurdles

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

About Founding Minds

At Founding Minds, we are one of the preferred product development partners in the software industry, collaborating with clients across the globe to design and build innovative software products. We also serve as an incubator for many startups, giving our team members exposure to diverse projects and emerging technologies. As a contributor, you’ll have the opportunity to brainstorm with talented individuals, explore new ideas, and apply a wide range of technologies. We encourage ownership, continuous learning, and innovation. If you are passionate about technology and problem-solving, Founding Minds offers limitless opportunities to grow your career.

Role Overview

We are looking for a Junior Automation Engineer with hands-on experience in automation tool. The ideal candidate will assist in building automation solutions, integrating AI capabilities, and contributing to innovative automation initiatives across domains.

Key Responsibilities

·       Develop and implement automation workflows using automation tools and scripting languages.

·       Assist in integrating AI agents.

·       Work collaboratively with cross-functional teams to understand and deliver project requirements.

·       Support deployment and management of automation solutions on cloud platforms.

·       Gain exposure to OCR and document processing systems to enhance automation accuracy.

·       Troubleshoot, maintain, and continuously improve existing automation workflows.

Required Skills and Experience

·       Total Experience: Around 5 years

·       Automation experience: 2 years

·       Development experience in any programming language (Python, Java, C#, etc.)

·       Basic understanding of AI Agents and their application in automation.

·       Familiarity with OCR and document processing technologies.

·       Working knowledge of cloud platforms; experience with Docker or Kubernetes is an advantage.

·       Strong analytical, problem-solving, and communication skills.

·       Eagerness to learn and grow in automation and AI-driven technologies.

Why Join Us

·       Work with a dynamic team on cutting-edge automation projects.

·       Opportunity to learn, innovate, and grow in a fast-evolving domain.

·       Exposure to multiple technologies and real-world product challenges.

·       Supportive, collaborative, and growth-oriented work culture.

If you’re enthusiastic about automation and eager to learn, Founding Minds is the place to accelerate your career journey.

We are seeking a passionate and knowledgeable Data Science and Data Analyst Trainer to deliver engaging and industry-relevant training programs. The trainer will be responsible for teaching core concepts in data analytics, machine learning, data visualization, and related tools and technologies. The ideal candidate will have hands-on experience in the data domain with 2-5 years and a flair for teaching and mentoring students or working professionals.

Overview:

We are hiring for multiple positions at our apparel retail store, suitable for both freshers and experienced store managers. If you have a passion for fashion, love interacting with customers, and want to grow in the retail industry, we’d love to hear from you.

Open Roles:

• Fashion Consultant (Fresher): Assist customers, provide styling advice, maintain store displays, and support daily sales.
• Store Manager: Lead the team, manage store operations, achieve sales targets, and ensure an excellent customer experience.

Requirements:

• For Fashion Consultant: Graduate, good communication skills, and customer-friendly attitude.
• For Store Manager: 3+ years of retail experience with team handling and target achievement skills.

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

What we look for:

As a DevOps Developer, you will contribute to a thriving and growing AIGovernance Engineering team. You will work in a Kubernetes-based microservices environment to support our bleeding-edge cloud services. This will include custom solutions, as well as open source DevOps tools (build and deploy automation, monitoring and data gathering for our software delivery pipeline). You will also be contributing to our continuous improvement and continuous delivery while increasing maturity of DevOps and agile adoption practices.

Responsibilities:

• Ability to deploy software using orchestrators /scripts/Automation on Hybrid and Public clouds like AWS
• Ability to write shell/python/ or any unix scripts
• Working Knowledge on Docker & Kubernetes
• Ability to create pipelines using Jenkins or any CI/CD tool and GitOps tool like ArgoCD
• Working knowledge of Git as a source control system and defect tracking system
• Ability to debug and troubleshoot deployment issues
• Ability to use tools for faster resolution of issues
• Excellent communication and soft skills
• Passionate and ability work and deliver in a multi-team environment
• Good team player
• Flexible and quick learner
• Ability to write docker files, Kubernetes yaml files / Helm charts
• Experience with monitoring tools like Nagios, Prometheus and visualisation tools such as Grafana.
• Ability to write Ansible, terraform scripts
• Linux System experience and Administration
• Effective cross-functional leadership skills: working with engineering and operational teams to ensure systems are secure, scalable, and reliable.
• Ability to review deployment and operational environments, i.e., execute initiatives to reduce failure, troubleshoot issues across the entire infrastructure stack, expand monitoring capabilities, and manage technical operations.

Technical Lead - .NET

Responsibilities:

• Develop and deliver technical systems
• Maintain adherence to architectural standards/principles, global product-specific guidelines, usability design standards, etc.
• Participate in the development and review of documents to comply with SDLC methodologies [e.g., Engineering Work Breakdown Structure (WBS), estimation, Solution Design Document (SDD) and Software Architecture Documents (SAD)]
• Provide support and documentation to assist in sustaining the project during the transition to production where necessary
• Adhere to Application Engineering methodologies, standards, code reviews
• Provide feedback regarding application engineering methodologies, standards, and leading practices when appropriate
• Identify potential points of contention for missed activities and notify project leadership of situation and remediation plan
• Minimize technical exposure and risk on projects
• Provide technical guidance to development team members
• Technical deliverables (i.e., code and documentation) on projects assigned
• Translate detailed Requirements and Design and Solution Architecture deliverables into detailed design specifications
• Maintain effective and consistent communication within the team, with peers, the leadership team, and the peers in other IT groups
• Proactively raise issues to Technical and Group Leads when necessary
• Produce high-quality application engineering deliverables in accordance with the project timeline
• Build and unit test a project to detailed design specifications
• Provide thought leadership and technical guidance to engineering staff
• Review of code completed
• Review performance of developers
• Proactively anticipate project issues before they occur; define the problem; identify possible causes; work with the team to identify solutions; select and implement the most appropriate solution
• Apply judgment in implementing Application Engineering methodologies, processes, and practices to specific requirements of projects/programs which may include product design engineering, information security, code maintainability and reliability

Requirements:

Must Have:

• Bachelor’s OR master’s degree in a technical field and/or equivalent work experience
• At least 3 years acting a senior architecture / technical lead role in a comparable organization
• Significant experience of deploying large, enterprise-wide implementations to significant user volumes
• At least 5 years of hands-on experience leading a team of developers - defining work breakdown structures/tasks, assigning the teamwork items, monitoring, and ensuring quality and adherence to standards etc.
• At least 8 years of relevant hands-on work experience building, integrating, and delivering enterprise-wide web and windows applications using Microsoft and other technologies for large organizations on complex projects
• 8+ years of ASP.Net MVC, ASP.Net experience
• 8+ years of experience of working with applications that have a SQL Server backend
• 5+ years of experience with Object-Relational Mappers such as Entity Framework, ADO.NET, Dapper
• Expert level knowledge of .NET Web API is required. .NET Core knowledge is preferred, but Web API experience with legacy .NET is ok
• 5+ years of experience with GIT
• 3+ years of experience of Azure Devops
• In-depth knowledge of object-oriented analysis and design (OOAD) principles, and familiarity with many design patterns for Software applications.
• Demonstrated expertise in application design and construction, work breakdown structure of items, design and code reviews, unit test and build activities, deployment and performance related activities, documentation, support, and training/mentoring
• Excellent communication skills, verbal and written

Nice to have:

• Ideally experience working with SSRS, SSIS
• Experience with MongoDB or another document database would be a plus
• Knowledge and experience with working on N-Tier applications.
• Demonstrated ability to build strong working relationships
• Experience working on projects following Agile methodologies would be ideal
• Experience working with Azure or other cloud providers would be ideal
• Ability to work within diverse, global, virtual teams.
• Proven ability to thrive under pressure
• Some experience with design and prototyping tools and diagramming is desired

Roles & Responsibilities:

1. ·Manage company’s various online bidding profiles
2. ·Identifying quality lead and bringing up the projects for the company
3. ·Bidding on various portals like PPH/ GURU/ UPWORK / Freelancer and other relevant online platforms
4. · Handle the initial discussions and collect the strategic information about the prospects
5. ·Understand complex project requirements and prepare proposal /bid to generate leads
6. ·Continue prospect engagement and account management throughout the sales cycle until closure.
7. ·Independently collaborate with the technical team for presentation with prospects.
8. · Scout for new bidding platforms and websites to catch out the opportunities.
9. Skill & Experience Required
10. ·       Excellent verbal and written communication skills, capable of converting the prospect with good linguistic ability.
11. ·       Must have 1-3 years of experience in Web Development & Mobile Apps project acquisition and closure through the online bidding platforms.
12. ·       Experience with lead generation and prospect management via various online bidding platforms.
13. ·       Must have sound technical knowledge of advanced Web and Mobile technologies trending today.
14. ·       Lead generation through LinkedIn, database, and other social networks would be an added value.
15. ·       Ability to handle the sales independently or as part of a team.
16. Education: Degree/ any diploma

Experience: 1- 3 years

Salary: negotiable

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