Senior Machine Learning Engineer

Experience: 5-7 years of proven experience

Who we are looking for:

We are seeking a skilled Machine Learning Engineer with 5-7 years of experience who 

combines deep analytical skills with practical implementation experience. The right 

candidate will have a proven track record of developing and deploying sophisticated 

ML models across various use cases. You will play a pivotal role in designing, 

developing, and deploying advanced machine learning models, optimizing their 

performance, and ensuring seamless integration with our software systems. You will be 

expected to take ownership of projects, mentor junior team members, and contribute to 

the strategic direction of our machine learning initiatives.

Key Responsibilities:

• Design and develop machine learning systems, including algorithms and deep 

learning models, to solve complex business problems.

• Implement and optimize ML models using frameworks such as TensorFlow, 

PyTorch, and scikit-learn.

• Conduct experiments and tests to improve model accuracy, efficiency, and 

scalability.

• Build and maintain scalable data pipelines for ingestion, cleaning, and 

preprocessing of large datasets.

• Collaborate with data engineers to build and maintain robust data pipelines for 

model training and deployment.

• Ensure the smooth transition of models from prototype to production, including 

setting up deployment pipelines and monitoring solutions.

• Participate in code reviews, design discussions, and architectural decisions to 

enhance system quality.

• Mentor junior engineers and share knowledge.

• Stay updated with the latest advancements in machine learning, Agentic AI, 

artificial intelligence, and related technologies.

Key Requirements:

• Education: bachelor’s or master’s degree in engineering, Mathematics, 

Statistics, or a related field.

• Experience: 5-7 years of proven experience as a Machine Learning Engineer or 

in a similar role.

• Technical Skills:

◦ Strong programming skills in Python, with experience in other languages 

like R, C++ or Java being a plus.

◦ Proven expertise with machine learning frameworks (e.g., TensorFlow, 

PyTorch, scikit-learn).

◦ Proven expertise with machine learning frameworks (e.g., TensorFlow, 

PyTorch, scikit-learn) and familiarity with Agentic AI frameworks or 

concepts (e.g., LangGraph, CrewAI or multi-agent systems).

◦ In-depth knowledge of data engineering principles, including ETL pipelines 

and big data tools (e.g., Spark).

◦ Experience with MLOps practices, including model deployment, 

monitoring, CI/CD pipelines, and containerization (e.g., Docker, 

Kubernetes).

◦ Experience with distributed systems, cloud platforms (e.g., AWS, Azure, 

GCP), and messaging systems (e.g., Kafka, RabbitMQ).

• Soft Skills:

◦ Exceptional problem-solving and analytical abilities.

◦ Ability to explain complex technical concepts to non-technical 

stakeholders.

What We Offer:

• A role at the forefront of AI/ML innovation, influencing transformative industry 

projects.

• A collaborative, growth-focused environment.

• Zero politics, merit-driven culture