Technical Support Executive

Web Application Developer

Job Description

Educational Qualifications:

Post-Graduation (Preferred): MCA/MSc/M.Tech. (Computer Science, Information Technology, Electronics).

Graduation (Mandatory): BE/B.Tech. (Computer Science, Information Technology, Electronics).

Certifications:

Relevant certification(s) would be an added advantage

Total Experience:

5+ years

Positions:

2

Work Experience:

• 5+ years of experience with designing and building web applications using Java and Angular JS

• 3+ years of experience in writing JavaScript, CSS, and HTML

• 3+ years of experience in developing application codes and unit tests in AngularJS, Java Technologies, and Rest Web Services

• 3+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

• Experience developing complex software systems from the ground up, that have been successfully delivered to customers

• Proficient in CSS, HTML, and writing cross-browser compatible code

• Experience using JavaScript building tools like Gulp/ Grunt etc.

• Knowledge of JavaScript MV-VM/MVC frameworks including AngluarJS

• Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs

• Experience in software processes, web services, multi-tiered systems, workflow modeling, systems testing, and enterprise application integration

Tools & Techniques:

• Strong experience with Java and Angular JS

• Strong experience with distributed (multi-tiered) systems, algorithms, and relational/non-relational databases

• Strong knowledge in OOPS concepts and very good debugging skills

Personality traits (desired):

• Excellent analytical and reasoning skills

• Excellent verbal and written communication skills

• Ability to communicate with both business stakeholders and technical teams

• Ability to take full ownership of tasks and willingness to learn and experiment with new technology

• Ability to synthesize requirements underlying feature requests, recommend alternative technical and business approaches, and facilitate engineering efforts to meet aggressive timelines

Responsibilities:

• Prepare technical requirements, software design specifications and unit test cases

• Design, code and modify webpages, from layout to function and according to the design specifications

• Upgrade, configure and debug existing web applications

• Create reusable, effective, and scalable code

• Identify bottlenecks and bugs in the system and develop solutions

• Adapt interface for modern internet applications using the latest front-end technologies

• Take ownership and responsibility of components/processes within the team

• Support other developers with code review, etc.

We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.

The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.

Must have skills & Qualifications:

• 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
• Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
• Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
• Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
• Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
• Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
• Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
• Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
• Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
• Strong foundation in Python and cloud-native development patterns.
• Solid understanding of security best practices, IAM, secrets management, and artifact governance.

Good to have skills:

• Experience with vector databases, RAG pipelines, or multi-agent AI systems.
• Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
• Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
• Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
• Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
• Ability to translate business goals into scalable AI/ML platform designs.
• Strong communication and cross-team collaboration skills.
• Ability to guide engineering teams through technical uncertainty and design choices.

Key Responsibilities:

• Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
• Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
• Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
• Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
• Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. 

We are looking for a fresher IT Recruiter with:

🔹 Excellent communication skills

🔹 Basic understanding of sourcing and screening

🔹 Interest in IT hiring and recruitment

🔹 Eagerness to learn and grow in the HR domain

Looking for freshers holding internships are allowed

About GoComet (www.gocomet.com):

GoComet is the world's leading AI Powered Transportation Visibility solution, revolutionizing the Supply Chain and Logistics industry. In just 5 years, we've partnered with over 500 Global Brands, including 7 Fortune 500 companies like John Deere, Unilever, and Koch Industries. At GoComet, we're not just changing logistics; we're shaping the future of global commerce.

Job Description:

We are seeking an experienced and dynamic Account Executive to drive sales in either the US or South East Asia region. As an integral part of our sales team, you will be responsible for expanding our customer base in the specified market, focusing on mid-market and enterprise segments. This role reports directly to the Global Head of Sales and Co-Founder.

Must-Haves:

●     Tech Sales Experience: Proven track record in tech sales within the Supply Chain & Logistics industry, preferably with experience in selling SaaS solutions.

●     International Market Experience: Demonstrated success in sales within international markets, specifically in APMEA or the Americas.

●     Territory Planning & Pipeline Building: Strong understanding and experience in territory planning and pipeline building, particularly in the mid-market and enterprise customer segments.

●     Outbound Pipeline Generation: Ability to effectively generate outbound pipeline through various channels and strategies.

Good to Have:

●     Startup Experience: Previous experience working in a startup environment, with a demonstrated ability to thrive in a fast-paced, agile setting.

●     Market Entry Experience: Experience in launching products or services into new markets, including market research, strategy development, and execution.

We Offer:

●     Flat Structure: Work closely with the Global Head of Sales and Co-Founder in a flat organizational structure, enabling direct communication and rapid decision-making.

●     Flexible Working Hours: Enjoy the flexibility to manage your work schedule according to your productivity and personal commitments.

●     Market Compensation: Competitive salary package with performance-based incentives and opportunities for career growth.

●     Dedicated Lead Gen and SDR Support: Access to dedicated lead generation and sales development resources to help you build and nurture your pipeline effectively.

●     Travel Opportunities: Travel to multiple markets for business development purposes, gaining exposure to diverse cultures and business landscapes.

How to Apply:

If you are passionate about driving sales, thrive in a dynamic environment, and meet the qualifications outlined above, we encourage you to apply by sending your resume and a cover letter highlighting your relevant experience to [HR Email Address]. Please include "Account Executive - Sales (US/South East Asia)" in the subject line of your email.

Join us in revolutionizing the supply chain and logistics industry!

∙ Tele consult incoming Buyers, assisting them throughout their property search. ∙

Attend inbound requests and queries on selected units, scheduling/confirming site visits with trained team members for site visits. ∙

Understand the buyer's requirements, update all details in the portal, suggest best options, collect feedback, educate the buyer on facts and real estate appreciations, and guide the buyer to a decision.

∙ Moderate negotiations or forward interested buyer profiles to a team of experts for negotiations and settlement.

• Must possess a fair, clear understanding of fundamentals and concepts of Magento 1/2, PHP.
• Must have strong experience in Magento Extension development.
• Write well-engineered source code that complies with accepted web standards.
• Strong experience of Magento Best Practices, including experience developing custom extensions and extending third party extensions.
• Thorough functional and code level knowledge of all Magento products and all relevant commerce technologies
• Good experience on Caching & Performance improvement.