Lead AI Engineer

Fulcrum Digital is an agile and next-generation digital acce

Lead AI Engineer

Futran Solutions

Company

Home

Lead AI Engineer

at Fulcrum Digital is an agile and next-generation digital acce

Agency job

via Futran Solutions

8 - 9 yrs

₹35L - ₹38L / yr

Pune

Skills

PyTorch

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
Experience with model evaluation, monitoring, and performance optimization in production environments.
Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
Experience designing enterprise-scale AI platforms or AI-powered products.

Job Description

About the Role

Responsibilities

Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
Experience with model evaluation, monitoring, and performance optimization in production environments.
Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
Experience designing enterprise-scale AI platforms or AI-powered products.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

Companies hiring on Cutshort

Similar jobs

Data Architect (Dremio Lakehouse)

AI company

Agency job

via Peak Hire Solutions by Dhara Thakkar

Bengaluru (Bangalore), Mumbai, Hyderabad, Gurugram

5 - 17 yrs

₹30L - ₹45L / yr

Data architecture

Data engineering

SQL

Data modeling

GCS

+21 more

Review Criteria

Strong Dremio / Lakehouse Data Architect profile
5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

CV Attachment is mandatory
How many years of experience you have with Dremio?
Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
Are you okay with 3 Days WFO?
Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
Support self-service analytics by enabling governed data products and semantic layers.
Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

Bachelor’s or master’s in computer science, Information Systems, or related field.
5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
Excellent problem-solving, documentation, and stakeholder communication skills.

Review Criteria

Strong Dremio / Lakehouse Data Architect profile
5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

CV Attachment is mandatory
How many years of experience you have with Dremio?
Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
Are you okay with 3 Days WFO?
Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
Support self-service analytics by enabling governed data products and semantic layers.
Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

Bachelor’s or master’s in computer science, Information Systems, or related field.
5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
Excellent problem-solving, documentation, and stakeholder communication skills.

Enterprise Product Manager B2B- ED Tech

at learners point.org

2 candid answers

Posted by Partha Sarathy

Bengaluru (Bangalore)

5 - 9 yrs

₹10L - ₹24L / yr

Product Manager

ED Tech Plat form

B2B

Enterprise B2B Product Manager

E Learning Platform

Job Description – Product Manager (B2B Ed Tech | UAE Exposure)

Industry: Ed Tech / Corporate Training / SaaS

Department: Product Management

Role: Product Manager – B2B

Location: Bangalore (Onsite)

Work Mode: Onsite

Working Days: 5 Days a Week

Employment Type: Full-Time

Experience: 4 – 8 Years

About Learners Point

Learners Point is a leading global Ed Tech and corporate training organisation, headquartered in the UAE, with a strong footprint across the Middle East (UAE, Saudi Arabia, Qatar, Oman) and expanding operations in India and international markets.

We specialise in professional certification training, corporate upskilling, and career transformation programs across Finance, Accounting, Project Management, Data Analytics, HR, Procurement, IT, and Management domains.

With 500+ globally recognized programs, 100,000+ learners trained, and 300+ enterprise clients, Learners Point delivers scalable, outcome-driven learning solutions for individuals and enterprises.

Role Overview

We are seeking a strategic and execution-focused Product Manager (B2B Ed Tech) with strong UAE / GCC market exposure to drive the development, enhancement, and growth of our enterprise learning platforms, LMS solutions, and corporate training products.

The role requires deep expertise in B2B product management, enterprise client engagement, go-to-market strategy, and cross-functional leadership, working closely with Sales, Engineering, Marketing, L&D, and Leadership teams.

Key Responsibilities

Own the end-to-end product lifecycle from ideation to launch and optimization.
Define product strategy, roadmap, and execution plans aligned with business objectives.
Gather and document requirements (PRD, BRD, FRD, user stories).
Work closely with enterprise sales and per-sales teams to design scalable B2B solutions.
Lead product discovery, user research, market analysis, and competitive bench marking.
Drive LMS, LXP, and corporate learning platform enhancements.
Collaborate with engineering teams using Agile/Scrum methodologies.
Support RFP, RFQ, and enterprise bidding processes.
Ensure on-time delivery, product quality, and performance metrics achievement.
Analyze product analytics, adoption metrics, engagement data, and revenue impact.
Act as the voice of enterprise customers and internal stakeholders.

Required Skills & Competencies

Strong experience in B2B Product Management / Enterprise SaaS
Hands-on experience with LMS / LXP / EdTech platforms
Excellent understanding of UAE / GCC enterprise business ecosystem
Expertise in Agile, Scrum, and product delivery frameworks
Strong business, analytical, and strategic thinking abilities
Excellent stakeholder communication and leadership skills
Experience working closely with CXO stakeholders and enterprise clients

Preferred Qualifications

Bachelor’s / Master’s degree in Engineering, Business, Product Management, or related field
Certifications in Agile / Scrum / Product Management are a plus

Work Details

Location: Bangalore – Onsite
Working Days: 5 Days a Week
Work Timings: As per business requirements

Job Description – Product Manager (B2B Ed Tech | UAE Exposure)

Industry: Ed Tech / Corporate Training / SaaS

Department: Product Management

Role: Product Manager – B2B

Location: Bangalore (Onsite)

Work Mode: Onsite

Working Days: 5 Days a Week

Employment Type: Full-Time

Experience: 4 – 8 Years

About Learners Point

Role Overview

Key Responsibilities

Own the end-to-end product lifecycle from ideation to launch and optimization.
Define product strategy, roadmap, and execution plans aligned with business objectives.
Gather and document requirements (PRD, BRD, FRD, user stories).
Work closely with enterprise sales and per-sales teams to design scalable B2B solutions.
Lead product discovery, user research, market analysis, and competitive bench marking.
Drive LMS, LXP, and corporate learning platform enhancements.
Collaborate with engineering teams using Agile/Scrum methodologies.
Support RFP, RFQ, and enterprise bidding processes.
Ensure on-time delivery, product quality, and performance metrics achievement.
Analyze product analytics, adoption metrics, engagement data, and revenue impact.
Act as the voice of enterprise customers and internal stakeholders.

Required Skills & Competencies

Strong experience in B2B Product Management / Enterprise SaaS
Hands-on experience with LMS / LXP / EdTech platforms
Excellent understanding of UAE / GCC enterprise business ecosystem
Expertise in Agile, Scrum, and product delivery frameworks
Strong business, analytical, and strategic thinking abilities
Excellent stakeholder communication and leadership skills
Experience working closely with CXO stakeholders and enterprise clients

Preferred Qualifications

Bachelor’s / Master’s degree in Engineering, Business, Product Management, or related field
Certifications in Agile / Scrum / Product Management are a plus

Work Details

Location: Bangalore – Onsite
Working Days: 5 Days a Week
Work Timings: As per business requirements

DevOps Engineer GCP

at Infra360 Solutions Pvt Ltd

2 candid answers

Posted by HR Infra360

Gurugram

2 - 4 yrs

₹8L - ₹12L / yr

Docker

Kubernetes

DevOps

Amazon Web Services (AWS)

Windows Azure

+1 more

Please Apply - https://zrec.in/RZ7zE?source=CareerSite

About Us

Infra360 Solutions is a services company specializing in Cloud, DevSecOps, Security, and Observability solutions. We help technology companies adapt DevOps culture in their organization by focusing on long-term DevOps roadmap. We focus on identifying technical and cultural issues in the journey of successfully implementing the DevOps practices in the organization and work with respective teams to fix issues to increase overall productivity. We also do training sessions for the developers and make them realize the importance of DevOps. We provide these services - DevOps, DevSecOps, FinOps, Cost Optimizations, CI/CD, Observability, Cloud Security, Containerization, Cloud Migration, Site Reliability, Performance Optimizations, SIEM and SecOps, Serverless automation, Well-Architected Review, MLOps, Governance, Risk & Compliance. We do assessments of technology architecture, security, governance, compliance, and DevOps maturity model for any technology company and help them optimize their cloud cost, streamline their technology architecture, and set up processes to improve the availability and reliability of their website and applications. We set up tools for monitoring, logging, and observability. We focus on bringing the DevOps culture to the organization to improve its efficiency and delivery.

Job Description

Job Title: DevOps Engineer GCP

Department: Technology

Location: Gurgaon

Work Mode: On-site

Working Hours: 10 AM - 7 PM

Terms: Permanent

Experience: 2-4 years

Education: B.Tech/MCA/BCA

Notice Period: Immediately

Infra360.io is searching for a DevOps Engineer to lead our group of IT specialists in maintaining and improving our software infrastructure. You'll collaborate with software engineers, QA engineers, and other IT pros in deploying, automating, and managing the software infrastructure. As a DevOps engineer you will also be responsible for setting up CI/CD pipelines, monitoring programs, and cloud infrastructure.

Below is a detailed description of the roles and responsibilities, expectations for the role.

Tech Stack :

Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
Helm: Expertise in Helm for managing Kubernetes applications.
Cloud Platforms: Expertise in GCP, AWS or Azure will be an added advantage.
Debugging and Troubleshooting: The DevOps Engineer must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.

Key Responsibilities:

CI/CD and configuration management
Doing RCA of production issues and providing resolution
Setting up failover, DR, backups, logging, monitoring, and alerting
Containerizing different applications on the Kubernetes platform
Capacity planning of different environment's infrastructure
Ensuring zero outages of critical services
Database administration of SQL and NoSQL databases
Infrastructure as a code (IaC)
Keeping the cost of the infrastructure to the minimum
Setting up the right set of security measures
CI/CD and configuration management
Doing RCA of production issues and providing resolution
Setting up failover, DR, backups, logging, monitoring, and alerting
Containerizing different applications on the Kubernetes platform
Capacity planning of different environment's infrastructure
Ensuring zero outages of critical services
Database administration of SQL and NoSQL databases
Infrastructure as a code (IaC)
Keeping the cost of the infrastructure to the minimum
Setting up the right set of security measures

Ideal Candidate Profile:

A graduation/post-graduation degree in Computer Science and related fields
2-4 years of strong DevOps experience with the Linux environment.
Strong interest in working in our tech stack
Excellent communication skills
Worked with minimal supervision and love to work as a self-starter
Hands-on experience with at least one of the scripting languages - Bash, Python, Go etc
Experience with version control systems like Git
Strong experience of GCP.
Strong experience with managing the Production Systems day in and day out
Experience in finding issues in different layers of architecture in production environment and fixing them
Knowledge of SQL and NoSQL databases, ElasticSearch, Solr etc.
Knowledge of Networking, Firewalls, load balancers, Nginx, Apache etc.
Experience in automation tools like Ansible/SaltStack and Jenkins
Experience in Docker/Kubernetes platform and managing OpenStack (desirable)
Experience with Hashicorp tools i.e. Vault, Vagrant, Terraform, Consul, VirtualBox etc. (desirable)
Experience with managing/mentoring small team of 2-3 people (desirable)
Experience in Monitoring tools like Prometheus/Grafana/Elastic APM.
Experience in logging tools Like ELK/Loki.

Please Apply - https://zrec.in/RZ7zE?source=CareerSite

About Us

Job Description

Job Title: DevOps Engineer GCP

Department: Technology

Location: Gurgaon

Work Mode: On-site

Working Hours: 10 AM - 7 PM

Terms: Permanent

Experience: 2-4 years

Education: B.Tech/MCA/BCA

Notice Period: Immediately

Below is a detailed description of the roles and responsibilities, expectations for the role.

Tech Stack :

Kubernetes: Deep understanding of Kubernetes clusters, container orchestration, and its architecture.
Terraform: Extensive hands-on experience with Infrastructure as Code (IaC) using Terraform for managing cloud resources.
ArgoCD: Experience in continuous deployment and using ArgoCD to maintain GitOps workflows.
Helm: Expertise in Helm for managing Kubernetes applications.
Cloud Platforms: Expertise in GCP, AWS or Azure will be an added advantage.
Debugging and Troubleshooting: The DevOps Engineer must be proficient in identifying and resolving complex issues in a distributed environment, ranging from networking issues to misconfigurations in infrastructure or application components.

Key Responsibilities:

CI/CD and configuration management
Doing RCA of production issues and providing resolution
Setting up failover, DR, backups, logging, monitoring, and alerting
Containerizing different applications on the Kubernetes platform
Capacity planning of different environment's infrastructure
Ensuring zero outages of critical services
Database administration of SQL and NoSQL databases
Infrastructure as a code (IaC)
Keeping the cost of the infrastructure to the minimum
Setting up the right set of security measures
CI/CD and configuration management
Doing RCA of production issues and providing resolution
Setting up failover, DR, backups, logging, monitoring, and alerting
Containerizing different applications on the Kubernetes platform
Capacity planning of different environment's infrastructure
Ensuring zero outages of critical services
Database administration of SQL and NoSQL databases
Infrastructure as a code (IaC)
Keeping the cost of the infrastructure to the minimum
Setting up the right set of security measures

Ideal Candidate Profile:

A graduation/post-graduation degree in Computer Science and related fields
2-4 years of strong DevOps experience with the Linux environment.
Strong interest in working in our tech stack
Excellent communication skills
Worked with minimal supervision and love to work as a self-starter
Hands-on experience with at least one of the scripting languages - Bash, Python, Go etc
Experience with version control systems like Git
Strong experience of GCP.
Strong experience with managing the Production Systems day in and day out
Experience in finding issues in different layers of architecture in production environment and fixing them
Knowledge of SQL and NoSQL databases, ElasticSearch, Solr etc.
Knowledge of Networking, Firewalls, load balancers, Nginx, Apache etc.
Experience in automation tools like Ansible/SaltStack and Jenkins
Experience in Docker/Kubernetes platform and managing OpenStack (desirable)
Experience with Hashicorp tools i.e. Vault, Vagrant, Terraform, Consul, VirtualBox etc. (desirable)
Experience with managing/mentoring small team of 2-3 people (desirable)
Experience in Monitoring tools like Prometheus/Grafana/Elastic APM.
Experience in logging tools Like ELK/Loki.

ThreeJS Developer (3D Animation)

at RAD Ole Pvt Ltd

Posted by Rachit Mathur

Mumbai

3 - 4 yrs

₹6L - ₹10L / yr

ThreeJs (Three.js)

3D animation

Javascript

Redux/Flux

3D rendering

+4 more

Company Information

We are a technology company developing state-of-the-art products in the 3D technology space. We help our clients in the luxury retail space, enhance their online presence and ability to showcase their products to the end customer as life-like.

We are looking for a skilled react.js developer to join our development team. In this role, you will be responsible for developing and implementing 3D React.js concepts and technologies.

You should have working or implementation experience in Three.js JavaScript 3D Library

Job description

Strong Understanding of Threejs Concepts
Experience working with Threejs Immersive projects
Render 3D objects using WebGL & Javascript API in all standard browsers.
Strong knowledge of mobile web standards
Proficient understanding of cross-browser compatibility issues and ways to work around them.
This would be added advantage: experience in setting up Projects with Webpack and the various loaders and plugins.

Mandatory : Javascript 3D, Three.JS, Library

React.js Developer Requirements:

Bachelors in computer science, information technology, or similar field
Previous experience working as a react.js developer.
In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux would be beneficial

Education:

Bachelor's (Preferred)

Company Information

We are looking for a skilled react.js developer to join our development team. In this role, you will be responsible for developing and implementing 3D React.js concepts and technologies.

You should have working or implementation experience in Three.js JavaScript 3D Library

Job description

Strong Understanding of Threejs Concepts
Experience working with Threejs Immersive projects
Render 3D objects using WebGL & Javascript API in all standard browsers.
Strong knowledge of mobile web standards
Proficient understanding of cross-browser compatibility issues and ways to work around them.
This would be added advantage: experience in setting up Projects with Webpack and the various loaders and plugins.

Mandatory : Javascript 3D, Three.JS, Library

React.js Developer Requirements:

Bachelors in computer science, information technology, or similar field
Previous experience working as a react.js developer.
In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux would be beneficial

Education:

Bachelor's (Preferred)

Business Analyst

at Rejolut

1 video

2 recruiters

Posted by TalentA Team

Navi Mumbai

1 - 8 yrs

₹1L - ₹10L / yr

Business Analysis

Business Development

BRD

Product Management

Google Cloud Platform (GCP)

+1 more

Job Responsibility:

Work in collaboration with the Design and Technology Team Team, break down epics into features and features into stories to build MVP solutions to enable benefits realization in the shortest possible time frame
Utilize analysis expertise to consistently elaborate requirements into detailed solutions.
Facilitate discussions with Technical Leads and Squads to review and estimate features and stories
You will work alongside the Product Owner to ensure that features and stories are continuously prioritized on the backlog and aligned to business value streams
Contribute towards sprint planning for the Squad, ensuring that prioritization and dependencies are considered when bringing new work in for development
To understand business requirement
Understanding business requirements through user requirements gathering sessions
to take lead a project from the very beginning till the project is delivered successfully
Mapping business requirements to Functional solutions and Preparing BRD document
Creating Functional specifications from which developers can create application solutions.
Prepare a test Plan with scenarios and Test cases, detailing the test steps. Identify and gather data from various sources. Execute test cases and record result
Take ownership of product delivery timelines and milestones typical tasks to involve analysis of business requirement requests, liaising with the Development Team and Management to complete development, support of UAT
Analyze business problems and provide solutions.
Participate with peers and represent the business on project teams
Should be able to communicate the business idea and thought process clearly

Required Candidate profile:

Great Problem-solving skills.
Possess the ability to work in a fast-paced environment with changing priorities and deadlines
Be used to working and communicating as part of a high-performing agile Team
Ability to translate customer opportunities and pain points into detailed Features and User Stories that our Developer and Quality Assurance Engineers can understand and deliver
Strong organizational and project management skills.
Knowledge of AWS, Google Cloud, or Azure
Familiarity with the latest technology like Blockchain is a plus.
Excellent verbal communication skills.

Job Responsibility:

Work in collaboration with the Design and Technology Team Team, break down epics into features and features into stories to build MVP solutions to enable benefits realization in the shortest possible time frame
Utilize analysis expertise to consistently elaborate requirements into detailed solutions.
Facilitate discussions with Technical Leads and Squads to review and estimate features and stories
You will work alongside the Product Owner to ensure that features and stories are continuously prioritized on the backlog and aligned to business value streams
Contribute towards sprint planning for the Squad, ensuring that prioritization and dependencies are considered when bringing new work in for development
To understand business requirement
Understanding business requirements through user requirements gathering sessions
to take lead a project from the very beginning till the project is delivered successfully
Mapping business requirements to Functional solutions and Preparing BRD document
Creating Functional specifications from which developers can create application solutions.
Prepare a test Plan with scenarios and Test cases, detailing the test steps. Identify and gather data from various sources. Execute test cases and record result
Take ownership of product delivery timelines and milestones typical tasks to involve analysis of business requirement requests, liaising with the Development Team and Management to complete development, support of UAT
Analyze business problems and provide solutions.
Participate with peers and represent the business on project teams
Should be able to communicate the business idea and thought process clearly

Required Candidate profile:

Great Problem-solving skills.
Possess the ability to work in a fast-paced environment with changing priorities and deadlines
Be used to working and communicating as part of a high-performing agile Team
Ability to translate customer opportunities and pain points into detailed Features and User Stories that our Developer and Quality Assurance Engineers can understand and deliver
Strong organizational and project management skills.
Knowledge of AWS, Google Cloud, or Azure
Familiarity with the latest technology like Blockchain is a plus.
Excellent verbal communication skills.

L1/L2 Tech Support Mumbai.

at Easyrewardz Software Services Pvt Ltd

Posted by Deepak Aggarwal

Mumbai

2 - 4 yrs

₹3L - ₹6L / yr

Technical support

Tech Support

SQL Query Analyzer

JD/Skills:-

L1 Tech Support, application support.

Good on SQL Queries.

Decent comm skills.

This will be Mumbai Location.

5 days working.

CTC is good as per market norms.

JD/Skills:-

L1 Tech Support, application support.

Good on SQL Queries.

Decent comm skills.

This will be Mumbai Location.

5 days working.

CTC is good as per market norms.

Senior/React Native Developer

Agency job

via Zyvka Global Services by Ridhima Sharma

Remote only

4 - 10 yrs

₹1L - ₹30L / yr

React Native

Swift

Objective C

Java

Kotlin

+8 more

Senior React Native Developer

Responsibilities

Advise and discuss with the team on the architecture and requirements.
Bring your experience for mobile User Experience.
Set up actions to ensure high level of quality and satisfaction
Build and maintain efficient and reliable code.
Support continuous improvement by investigating alternatives and technologies.

Skills

Bachelor’s Degree in Informatics Engineering or similar
Minimum of 4+ years work experience in similar roles
Strong knowledge in Front-end frameworks (React Native)
Strong knowledge in the mobile language (swift, objective-c, java, kotlin)
Experience in unit testing and TDD.
Advance knowledge in using testing frameworks ( Karma, Jest, Appium, Cypress ).
Experience with Agile Methodologies (Scrum, Kanban)
Experience in CI/CD
Having a coaching profile, good communication skills is crucial to ensure good exchange and sharing of information within and outside of the train
Being able to provide based on the audience synthetic or detailed information is mandatory
Being curious to continuously learn and being a leader in your domain of expertise
Immediate or very low availability
Fluent in English - written and spoken (mandatory)

Senior React Native Developer

Responsibilities

Advise and discuss with the team on the architecture and requirements.
Bring your experience for mobile User Experience.
Set up actions to ensure high level of quality and satisfaction
Build and maintain efficient and reliable code.
Support continuous improvement by investigating alternatives and technologies.

Skills

Bachelor’s Degree in Informatics Engineering or similar
Minimum of 4+ years work experience in similar roles
Strong knowledge in Front-end frameworks (React Native)
Strong knowledge in the mobile language (swift, objective-c, java, kotlin)
Experience in unit testing and TDD.
Advance knowledge in using testing frameworks ( Karma, Jest, Appium, Cypress ).
Experience with Agile Methodologies (Scrum, Kanban)
Experience in CI/CD
Having a coaching profile, good communication skills is crucial to ensure good exchange and sharing of information within and outside of the train
Being able to provide based on the audience synthetic or detailed information is mandatory
Being curious to continuously learn and being a leader in your domain of expertise
Immediate or very low availability
Fluent in English - written and spoken (mandatory)

Backend Developer

at VComply Inc.

1 video

2 recruiters

Posted by Zoya Khan

Kolkata

3 - 8 yrs

₹6L - ₹12L / yr

NodeJS (Node.js)

MongoDB

NOSQL Databases

RESTful APIs

Amazon Web Services (AWS)

Responsibilities:
- Design and develop highly scalable, reliable and fault-tolerant systems for one of India's fastest-growing product startup
- Translate business requirements into scalable and extensible design.
- Pair with team members on functional and non-functional requirements and spread design philosophy and goals across the team.
- Partner with the product management team to define and execute the feature roadmap.
- Coordinate with cross-functional teams (Mobile, DevOps, Data, UX, QA, etc.) on planning and execution.
- Continuously improve code quality, product execution, and customer delight.
- Proactively manage stakeholder communication related to deliverables, risks, charges, and dependencies.
- Communicate, collaborate and work effectively across distributed teams
- An innate desire to deliver and a strong sense of accountability for your work.
- Willingness to learn new languages and methodologies.
- Passion for learning new things, solving challenging problems.

Requirements:
- 3+ years of experience in software development or a serious open source track record
- 2+ years of hands-on experience in designing, developing, testing and deploying large scale applications in any language or stack
- Proficiency in OOP concepts, including design patterns. Experience with functional programming is a plus.
- Data modelling experience in both Relational and NoSQL databases.
- Ability to understand and implement Continuous Integration and Continuous Delivery.
- Well versed with Lean methodologies, and Test Engineering and Automation.- Ability to design and implement low latency RESTful services.
- Experience in troubleshooting server performance memory issues, GC tuning, resource leaks, etc.
- Continuously refactor applications and architectures to maintain high-quality levels.
- Ability to scope, review and refine user stories for technical completeness and to alleviate dependency risks.
- We primarily use Node JS, MongoDB, AngularJS & AWS

**About VComply :**
- VComply is a fast-growing SaaS GRC (Governance, Risk and Compliance) platform that helps organizations manage their compliance controls and risk in an intuitive manner. VComply brings a contextual understanding of GRC to compliance officers enabling them to achieve organization objectives while maintaining the integrity and managing risk.

- VComply was founded in 2019 and is backed by Accel. We already have 25+ marquee customers across North America and Australia & New Zealand in our short existence. We provide organizations with configurable, yet plug and play GRC applications that need zero development effort and infrastructure.

**Why VComply :**
- Opportunity to have direct impact on the growth of a fast growing & dynamic company
- Challenging work environment with End- to-end ownership of your role
- Incredible growth opportunities - we are a meritocracy, and the best will always have room for growth in the company
- Opportunity to work directly with senior leadership
- Accelerated learning environment with a high performing team surrounding you
- Culture that promotes challenging oneself & continuous improvement.
- Perks & Employee friendly policies.

Hybrid Developer

at SMcodetech

1 recruiter

Posted by Pragna Parmar

Remote, Ahmedabad

1 - 2 yrs

₹2L - ₹3L / yr

Android Development

iOS App Development

Mobile App Development

Developing new features and user interfaces from wireframe models
Ensuring the best performance and user experience of the application
Fixing bugs and performance problems
Writing clean, readable, and testable code
Cooperating with back-end developers, designers, and the rest of the team to deliver well-architected and high-quality solutions
(Add any other relevant responsibilities here)

Developing new features and user interfaces from wireframe models
Ensuring the best performance and user experience of the application
Fixing bugs and performance problems
Writing clean, readable, and testable code
Cooperating with back-end developers, designers, and the rest of the team to deliver well-architected and high-quality solutions
(Add any other relevant responsibilities here)

Business Development (Sales) internship

at Teacherr

1 recruiter

Posted by Wajiha Quadri

Hyderabad

0 - 1 yrs

₹3L - ₹4L / yr

Sales

Business Development

Internship

Client Management

Product Marketing

+1 more

About Company:We are a bunch of people from diverse backgrounds with only one thing in common: an extreme passion for education. We have built an end-to-end platform to connect qualified teachers with schools/colleges. We envision this platform to enhance the learning experience of the student community by providing solutions to enhance the performance of teachers.

About the Internship:Selected intern's day-to-day responsibilities include:
1. Coordinating with the founders and setting up meetings with the clients
2. Pitching products to the target customers and onboarding them
3. Doing client management

Only those candidates can apply who: are available for full time (in-office) internship for duration of 3 months and have relevant skills and interests

** Women willing to start/restart their career can also apply.*
Freshers looking for jobs may also apply.

Stipend:INR ₹10000 /Month

Other perks:Certificate, Letter of recommendation, Job offer (On successful conversion to a permanent employee, the candidate can expect a salary of Rs. 3 to 4 Lac/annum).

Skills required:English Proficiency (Spoken) and Hindi Proficiency (Spoken)