Sr. Executive - Investment

Position Overview:

We are looking for a proactive Purchase Manager to lead the procurement and sourcing function for engineered

components, raw materials, and services.

Key Responsibilities:

• Develop and implement procurement strategies aligned with company objectives.

• Source, evaluate, and negotiate with suppliers for cost-effective and high-quality materials.

• Manage vendor performance, contracts, and long-term partnerships.

• Coordinate with engineering and production teams to plan material requirements.

• Ensure timely procurement of critical components for ongoing projects.

• Monitor inventory levels and implement cost control measures.

• Maintain documentation and compliance with ISO and audit standards.

Qualifications & Experience:

• B.E./B.Tech / Diploma in Mechanical Engineering or Supply Chain Management.

• 5–8 years of experience in industrial procurement, preferably in turbomachinery or heavy engineering.

• Excellent negotiation, analytical, and vendor management skills.

• Familiarity with ERP systems and procurement software.

• Strong understanding of fabrication, machining, and assembly vendor ecosystems.

Full Stack Developer

• The candidate should hold either MCA or BTech degree in Computer Science
• The candidate should have 4 to 10 years of IT Development hands on experience in integration solution using WCF/SOA technologies
• Build integration solutions to automate business processes related to Oil & Gas Refinery business
• Should have excellent knowledge in C#, WCF, SOAP/REST API,, OOPS Concepts, Object Oriented design principles and Design Patterns
• Should have excellent knowledge in SQL Database Design, RDBMS concepts and Master Data Services
• Should have good knowledge in Authentication, Security, XSD and System Integration concepts
• Should be able to understand the Business Requirement and convert it into Technical design document
• Communicate with internal and external customers, supervisors and management using clear, user-friendly terminology
• The candidate should have good Arithmetic reasoning, Logical and Analytical thinking
• Should be Flexible to learn new things, Self-motivated and take up any development role assigned, irrespective of the technology

Must have skills - sql, .net , c# , wcf 

Job Title: AI Architect

Location: [Pune, Onsite]

Experience: 6+ Years

Employment Type: Full-Time

Working requirements:

Engagement Commitment: 3 months to start with to ensure that the engagement is progressing well.

Deliverable: Minimum Viable Product is already there, enhancement is required

Working Hours Preferable: California Time (which is ~12 hours behind IST), requesting this because then it will be easier to huddle and both US and India team can work simultaneously

About the Role:

We are seeking an experienced and visionary AI Architect to lead the design, development, and deployment of cutting-edge AI/ML solutions. The ideal candidate will have a strong foundation in artificial intelligence, machine learning, data engineering, and cloud technologies, with the ability to architect scalable and high-performing systems.

Key Responsibilities:

• Design and implement end-to-end AI/ML architectures for large-scale enterprise applications.
• Lead AI strategy, frameworks, and roadmaps in collaboration with product and engineering teams.
• Guide the development of machine learning models (e.g., NLP, Computer Vision, Predictive Analytics).
• Define best practices for model training, validation, deployment, monitoring, and versioning.
• Collaborate with data engineers to build and maintain robust data pipelines.
• Choose the right AI tools, libraries, and platforms based on project needs (e.g., TensorFlow, PyTorch, Hugging Face).
• Work with cloud platforms (AWS, Azure, GCP) to deploy and manage AI models and services.
• Ensure AI/ML solutions comply with data privacy, governance, and ethical standards.
• Mentor junior AI engineers and data scientists.

Required Skills & Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 6+ years of experience in AI/ML, with at least 2+ years in an architecture or lead role.
• Strong experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, etc.
• Deep understanding of LLMs, transformers, GPT models, and fine-tuning techniques.
• Proficiency in Python and data processing libraries (Pandas, NumPy, etc.).
• Experience with cloud-based AI services (AWS SageMaker, Azure ML, Vertex AI, etc.).
• Knowledge of MLOps practices, CI/CD for models, and model monitoring.
• Familiarity with data lakehouse architecture, real-time inference, and APIs.
• Strong communication and leadership skills.

Preferred Qualifications:

• Experience with generative AI applications and prompt engineering.
• Knowledge of reinforcement learning or federated learning.
• Publications or contributions to open-source AI projects.
• AI certifications from cloud providers (AWS, Azure, GCP).

Why Join Us?

• Work on transformative AI projects across industries.
• Collaborate with a passionate and innovative team.
• Flexible work environment with remote/hybrid options.
• Continuous learning, upskilling, and growth opportunities.

About Us: Website: https://www.tundratechnical.ca/ & https://tundramanagedsolutions.com/

Experience: 5-8 years

Shift: EST

Location: Bangalore

Mode: Hybrid

Position Requirements

Core (Must-Have) Skills

• Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn

• Expertise in SQL, including complex queries and performance optimization

• Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)

• Applied knowledge of statistics and probability for model development

• Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)

• Exposure to large-scale data processing (Spark, Hadoop)

Preferred Skills

• Deep learning frameworks (TensorFlow, PyTorch)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Data pipeline orchestration (Airflow, Prefect)

• Business domain knowledge (e.g., retail, finance)

Key Activities

• Preparing and preprocessing structured and unstructured data for analysis

• Designing, training, and validating machine learning models

• Deploying and operationalizing models in collaboration with engineering teams

• Building dashboards and data-driven visual insights for stakeholders

• Partnering with product and engineering teams to align models with business needs

• Monitoring, optimizing, and retraining models for performance improvements

Full Stack Developer

This position would design scalable, efficient and maintainable software architectures using Node.js

We are building a online platform for millennial and gen z moms and parents to surround them with support at every step of their parenting journey, right from planning a baby to 12 years of child. We would like to be their trusted 24*7 parenting guide, prepare for every new moment just in time and make every need available at a click of a button. With 90k+ babies born every day and increasing number of working mothers in urban nuclear India, our vision is to create a world of healthy pregnancies, thriving children and confident parents.

Founded by ex-3M, Gillette, Cargill folks, we have are moving fast now :-

·      50K installations in last 6 weeks

·      > 2 Million hits on the content site since going live in early 2021

·      Raised 2 rounds of investment

About the Role

Technical:-

·      Architect and Design: Collaborate with cross-functional teams to design scalable, efficient, and maintainable software architectures using Node.js.

·      Backend Development: Develop and maintain server-side applications and APIs using Node.js, ensuring high performance, responsiveness, and security.

·      Code Implementation: Write clean, well-organized, and documented code that aligns with best practices and coding standards.

·      Database Management: Hands-on experience, with MongoDB

·      Troubleshooting and Bug Fixing: Identify and resolve technical issues, bugs, and performance bottlenecks promptly.

·      Code Reviews: Conduct thorough code reviews to ensure code quality, maintainability, and adherence to architectural guidelines.

·      Performance Optimization: Analyse and optimize application performance through profiling, tuning, and implementing best practices.

·      Technology Evaluation: Stay up-to-date with the latest trends and advancements in Node.js and related technologies, and make recommendations for technology adoption

Non-Technical:-

·      Collaboration: Collaborate with frontend engineers, product managers, and other stakeholders to deliver seamless end-to-end features and enhancements.

·      Mentorship: Provide guidance and mentorship to junior developers, sharing your knowledge and expertise in Node.js development.

What you have to offer

Must-Have:-

·      Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

·      Minimum of 4-5 years of professional experience in backend development, with at least 2-3 years focused on Node.js.

·      Strong proficiency in Node.js and JavaScript, including asynchronous programming, event-driven architecture, and familiarity with frameworks like Express.js.

·      Experience working with databases such as MySQL, MongoDB, or PostgreSQL, including database design and optimization.

·      Proficiency in version control tools (e.g. Git) and collaborative development workflows.

·      Solid understanding of RESTful API design principles and best practices.

·      Excellent problem-solving skills and the ability to debug complex issues.

Good To Have :-

·      Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.

·      Prior experience with frontend technologies (HTML, CSS, React, etc.) is a bonus.

·      Contributions to open-source projects, tech blogs, or relevant certifications are advantageous.

·      Experience with containerization technologies like Docker and orchestration tools like Kubernetes is a plus.

• Collection creation, access method tuning, sharding implementation, index creation, and debugging query execution to obtain top database performance.
• Execute DB upgrades on time
• Configuration of MongoDB instances, Schema and MongoDB modelling
• Table design, index utilisation, design indexing strategies , query plan analysis and Optimise performance issues
• Comprehend and translate business requirements into technical specifications and build elegant, efficient, and scalable solutions based on specifications
• Implement appropriate indexes (B-Tree, Geospatial, Text) for performance improvement
• Implement Mongo Management Service for automating a variety of tasks, including backup/recovery and performance management
• Recommend and implement best practices for Rest API integration framework/model
• Develop MongoDB and API prototypes and proofs of concept
• Implement optimal backup and recovery and assist developers in detecting performance problems using MMS and Mongo Profiler
• Work closely with the development teams to implement new features and enhancements and the maintenance and support of existing applications in production
• Automate routine DB operations with scripting
• Configure, monitor, and deploy replica sets and upgrade databases through patches
• Keep clear documentation of the database setup and architecture and plan procedures for backup in case of a data loss
• Ensure that the databases achieve maximum performance and availability
• Create roles and users and set their permissions and mentor staff on MongoDB best practices
• Write procedures for backup and disaster recovery

Roles and

Responsibilities

Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to

help us in configure and develop new AWS environments for our Enterprise Data Lake,

migrate the on-premise traditional workloads to cloud. Must have a sound

understanding of BI best practices, relational structures, dimensional data modelling,

structured query language (SQL) skills, data warehouse and reporting techniques.

 Extensive experience in providing AWS Cloud solutions to various business

use cases.

 Creating star schema data models, performing ETLs and validating results with

business representatives

 Supporting implemented BI solutions by: monitoring and tuning queries and

data loads, addressing user questions concerning data integrity, monitoring

performance and communicating functional and technical issues.

Job Description: -

This position is responsible for the successful delivery of business intelligence

information to the entire organization and is experienced in BI development and

implementations, data architecture and data warehousing.

Requisite Qualification

Essential

-

AWS Certified Database Specialty or -

AWS Certified Data Analytics

Preferred

Any other Data Engineer Certification

Requisite Experience

Essential 4 -7 yrs of experience

Preferred 2+ yrs of experience in ETL & data pipelines

Skills Required

Special Skills Required

 AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.

 Bigdata: Databricks, Spark, Glue and Athena

 Expertise in Lake Formation, Python programming, Spark, Shell scripting

 Minimum Bachelor’s degree with 5+ years of experience in designing, building,

and maintaining AWS data components

 3+ years of experience in data component configuration, related roles and

access setup

 Expertise in Python programming

 Knowledge in all aspects of DevOps (source control, continuous integration,

deployments, etc.)

 Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD

 Hands on ETL development experience, preferably using or SSIS

 SQL Server experience required

 Strong analytical skills to solve and model complex business requirements

 Sound understanding of BI Best Practices/Methodologies, relational structures,

dimensional data modelling, structured query language (SQL) skills, data

warehouse and reporting techniques

Preferred Skills

Required

 Experience working in the SCRUM Environment.

 Experience in Administration (Windows/Unix/Network/Database/Hadoop) is a

plus.

 Experience in SQL Server, SSIS, SSAS, SSRS

 Comfortable with creating data models and visualization using Power BI

 Hands on experience in relational and multi-dimensional data modelling,

including multiple source systems from databases and flat files, and the use of

standard data modelling tools

 Ability to collaborate on a team with infrastructure, BI report development and

business analyst resources, and clearly communicate solutions to both

technical and non-technical team members