Test Automation Engineer

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.

Job Synapsis

Are you a passionate person who is willing to thrive in the field of Human Resources in a Product based company? Are you an avid learner who just wants to excel in the role as an HR? We believe you are the right choice of talent we are looking for.

To us, smooth operational activities is key theme for thriving business. It implies that HR Operations duties will involve managing employee activities such as employee relations, Training & development, employee engagement, grievance’s, Performance Appraisals etc.

 Responsibilities

• Monitor internal HR systems and databases
• Act as a consultant to managers and staff regarding policies and procedures
• Address employees’ queries on issues related to compensation and all other relevant topics
• Prepare employees for assignments by establishing and conducting orientation and training programs
• To conduct timely various employee engagement activities
• Ensure planning, monitoring, and appraisal of employee work results by training managers to coach and discipline employees; scheduling management conferences with employees; hearing and resolving employee grievances; counselling employees and supervisors
• Asses and maintain employee benefits programs and inform employees of the same
• Complete HR operational requirements by scheduling and assigning employees; following up on work results & nurture a positive working environment
• Oversee and manage a performance appraisal system that drives high performance & timely feedback
• Assess training needs to apply and monitor training programs
• Report to management and provide decision support through HR metrics
• Ensure legal compliance throughout human resource management.
• Manage employee benefits, including broker/ vendor relationships, enrolment, claims resolution, and general employee inquiries
• Manage the employee onboarding and offboarding processes to enhance new and departing employee experience
• Recommend new approaches, policies and procedures
• Act as the primary HR point of contact for all ISO & Internal audits and work with internal teams and manage HR compliance documentation, process and audits
• Other duties as assigned.

What we are looking for…

• Fresher to 1 years of related HR operation’s experience required, with prior experience with product based or startup will be plus.
• People oriented and results driven.
• Strong communication skills.
• Knowledge of any HRMS.
• Ability to architect strategy along with leadership skills
• Excellent active listening, negotiation, and presentation skills
• Competence to build and effectively manage interpersonal relationships at all levels of the company
• In-depth knowledge of labour law and HR best practice.
• Degree in Human Resources or related field

Responsibilities:

1. Collaborate with cross-functional teams to define, design, and ship new features.
2. Develop high-quality software solutions in C#/.NET according to technical specifications.
3. Participate in code reviews and provide constructive feedback to peers.
4. Debug, troubleshoot, and resolve software defects to ensure optimal performance.
5. Assist in the maintenance and enhancement of existing software applications.
6. Stay up-to-date with the latest .NET technologies and industry trends.
7. Document software features, technical specifications, and implementation details.
8. Contribute to the continuous improvement of development processes and best practices.
9. Communicate effectively with team members and stakeholders to ensure project success.

Requirements:

1. Bachelor's degree in Computer Science, Engineering, or related field.
2. Minimum 1 year of professional experience in software development using C# and the .NET framework.
3. Solid understanding of object-oriented programming principles and design patterns.
4. Proficiency in Microsoft technologies such as ASP.NET, MVC, and Entity Framework.
5. Experience with front-end development technologies like HTML, CSS, JavaScript, and jQuery.
6. Familiarity with relational databases (e.g., SQL Server) and SQL queries.
7. Strong analytical and problem-solving skills with attention to detail.
8. Ability to work both independently and collaboratively in a fast-paced environment.
9. Excellent verbal and written communication skills.
10. Demonstrated willingness to learn and adapt to new technologies and methodologies.

Job Description 

Responsibilities: 

∙Work as part of K&A Power & Renewable - Distribution team 

∙Delivery of power distribution infra projects. 

∙Diligent check and review of the deliverables to assure quality. 

∙Deliver projects on time to meet project schedule. 

Requirements 

Essential qualifications: 

∙Bachelor Degree in Electrical & Electronics/ Electrical Engineering from a 

recognized University. 

∙Minimum 5-8 years’ relevant design experience in dry utilities engineering 

environment with Vendors, Contractors or Design Consultancies in 

infrastructure projects. 

∙Middle east projects work experience in dry utilities.  

∙Knowledge of IEC/IEEE Standards 

∙Well aware of Medium Voltage and Low Voltage Power distribution and 

planning.  

∙Working knowledge of software Civil 3D, ETAP, AUTO CAD and Dialux. 

∙Well aware of using Dialux software for outdoor street lighting calculation. 

∙Well aware of Pump Stations Electrical design works  

∙Able to independently work on project deliverables from base design stage to 

detailed designs. 

∙Excellent English communication skills within the engineering environment 

Desired qualifications: 

∙Demonstrable track record of technical achievement and client satisfaction 

within the infrastructure projects (Dry utilities). 

∙Ability to apply technical knowledge in analysing problems and creating 

solutions. 

∙Willingness to travel to Middle East and African Countries for short term 

assignments 

∙Ability to adapt to different cultures and working environments 

∙Ability to build rapport with customers and colleagues 

∙Well-motivated and able to work as part of a team or on individual assignments 

as required 

∙Able to work and communicate effectively within multidisciplinary teams 

∙Flexible approach to work 

∙Ability to work on one’s own initiative 

Job responsibility

• A strong understanding or work experience of all phases of software development life cycle including analysis, design, functionality, testing and support.
• Deep experience with troubleshooting, HTTP traffic inspection, authentication methodologies, session management and browser automation.
• Experience with unit testing frameworks and TDD.
• Familiarity with architecture styles/APIs (REST, RPC).
• Able to develop large scale web/database applications.
• Capable of working on multiple projects with meeting multiple deadlines.
• Maintaining and supporting multiple projects and deadlines.
• Ability to innovate and provide functional applications with intuitive interfaces.
• Capable of working in team environment& individually on projects.
• Smart enough to work with Project Manager to determine needs and applying / customizing existing technology to meet those needs.
• Ability to handle clients, understanding client requirements, coding, designing on .dot net platform, C#, asp.net. Hand on Experience with OOPS concept and Design patterns. 
• Ability to construct user guides and Project Documentation, Project Progress Report and other documentation.

Technical Skills required: 

.Net with c# core, Ajax, MVC, linq, entity framework, ADO.net, Java script, JQuery, SQL Server, Angular (advance), Socket programming.

Desired Candidate Profile