urgent opening for BDE/Business Development Executive - IT sales

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Hiring: Mobile App Developer (Consultant)

We at Amagle Software are looking for an experienced React Native Developer to work with us in a consulting capacity.

What we’re looking for:

Strong experience in React Native (iOS + Android)

Knowledge of Firebase (Auth, Firestore, Push Notifications, etc.)

Good understanding of mobile app architecture and database design

Ability to provide technical guidance and write scalable code

Engagement Model:

Consultant (Remote)

Duration: Initially 2–3 months (extendable based on need)

Flexible hours, outcome-based collaboration

Compensation: Open to discussion

Location: Remote (India-based consultants preferred)

Interested?

Send your profile/portfolio to us.

Role – Staff Engineer, Software Engineering

Experience – 7-10 Years

Location – Gurugram

Notice - Max up to 30 days

JOB DESCRIPTION:

Technical Responsibilities:

• Conduct or design prototyping and bench testing

• Conduct problem solving, identify potential solutions, and evaluate them against component and sub-system requirements

• Conduct research and studies to support product design

• Translate design inputs to engineering specifications and produce component and sub-system level designs

• Code development time/resource estimation to support projects

• Design new components applying various design concepts

• Generate and review the necessary documents with project teams (requirements, design, architecture, bugs, test)

Business Responsibilities:

• Demonstrate advanced understanding of customer needs and design inputs

• Demonstrate proficiency with product’s intended use and clinical procedures

• Learn how the financial models are constructed

Med Device Compliance:

• Follow fundamental industry standards, design requirements and test strategies which apply to regulatory requirements

• Independently create or refine engineering documentation, such as the Design History file

• Follow R&D procedure like design controls and risk management, per the Quality Management System

Minimum Qualifications (Required):

• Bachelor's degree in Software Engineering/ Computer Science or related discipline & 7+ years of work experience

Mandatory Skills:

Technical Skills:

• Highly skilled in C++, OOP, Object-Oriented Design and Analysis, Multithreading (POSIX), and TCP/IP communication.
• Knowledge of application programming with embedded systems, including communication over SPI, I2C, CAN, and FPGA (highly desirable).
• Expert-level knowledge of algorithms and data structures.
• Exposure to Qt Creator IDE is desirable.
• Proficient in programming and designing new components using various design concepts and patterns.

Design and Development Skills:

• Experience with integrated development environments (IDE) for projects

• Experience with software tools for static/dynamic analysis, memory management, code coverage and techniques for analyzing software

• Integration and deployment processes experience

Software Process Skills:

• Experience in creating estimates for code implementation time/resource for assigned tasks

• Experience in Software Development Life Cycle processes, Agile mode of implementation.

. Experience with CI/CD and DevOps systems using tools like gitla

• Experience using Application Lifecycle Management /Traceability tools

• Experience with regulatory and compliance standards applied to the SDLC (Software Development Life Cycle)

1. Answering phones and explaining the services offered by the company.

2. Contacting existing clients as well as prospective clients.

3. Obtaining client information and other relevant data.

4. Asking questions to the client and understanding their specifications.

5. Resolving queries and issues related to the services.

6. Making recordings of all the sales phone calls and sales deals.

7. Maintaining the database of customers on a regular basis.

8. Suggest solutions based on customers’ needs and requirements.

Process: Xfinity
Job Mode: Work from Office
Designation: Inbound Sales Associate
Process Description: Inbound Sales Process

Quality Specification:

• Required A grade candidates
• Applicant must have Good / Average communication skills
• Only Graduates candidates can apply for this positions

• If applicant is fresher after graduation then he/she can apply for this job

Additional:

• Need Candidates from Delhi/NCR, ready to work in night shifts. Work from office
• Cab Facility in Odd Hours provided by company

• Engineering experience with a proven track record of building high performance consumer web applications or services
  
• Good exposure in front end ui frameworks like reactjs and angularJS
  
• Very good analytical and problem solving skills
  
• Building desktop and mobile web applications