Sr. Machine Learning Engineer

Cloud Counselage Pvt Ltd; Mumbai; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary and benefits package

Opportunities for professional development

Dynamic and collaborative work environment

Potential for remote work options

Job summary

A leading technology firm in India is seeking an experienced Senior Machine Learning Engineer to develop and deploy innovative machine learning models. In this role, you will collaborate with teams to create ML solutions, mentor juniors, and integrate these solutions into production. The ideal candidate has 4-7 years of experience, strong programming skills in Python, and expertise in ML libraries like TensorFlow or PyTorch. Join us for a dynamic career with opportunities for growth and flexible work options.

Qualifications

• 4-7 years of experience in machine learning, data science, or a related field.
• Proven track record of developing and deploying machine learning models in production environments.
• Solid understanding of machine learning algorithms, statistical methods, and deep learning techniques.

Responsibilities

• Research, design, and implement machine learning algorithms and models.
• Collaborate with data scientists and domain experts to gather requirements.
• Develop scalable and efficient machine learning pipelines for data preprocessing.

Skills

Python

Machine learning libraries (TensorFlow, PyTorch, scikit-learn)

Problem-solving

Communication skills

Experience with big data technologies (Apache Spark)

Cloud platforms (AWS, Azure, GCP)

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field

Advanced degree (MS/PhD) preferred

Tools

Docker

Kubernetes

Version control systems (e.g., Git)

Job description

About the job Sr. Machine Learning Engineer

Looking for a highly skilled Senior Machine Learning Engineer to join our team. As a Senior ML Engineer, you will play a key role in developing and deploying cutting‑edge machine learning models and algorithms to solve complex business problems. You will work closely with cross‑functional teams to design, implement, and optimize ML solutions that drive business impact.

Responsibilities:

• Research, design, and implement machine learning algorithms and models to solve business challenges
• Collaborate with data scientists and domain experts to gather requirements, analyze data, and validate hypotheses
• Develop scalable and efficient machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation
• Design and implement experiments to evaluate model performance, interpret results, and iterate on models to improve accuracy and efficiency
• Deploy machine learning models into production systems and monitor their performance in real-world applications
• Work closely with software engineers to integrate machine learning models into existing systems and develop new features
• Stay up-to-date with the latest advancements in machine learning research and apply them to solve business problems effectively
• Mentor junior team members and provide technical guidance on best practices in machine learning development and deployment

Mandatory Requirements:

• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (MS/PhD) preferred
• 4‑7 years of experience in machine learning, data science, or a related field, with a proven track record of developing and deploying machine learning models in production environments
• Strong programming skills in Python and proficiency in machine learning libraries such as TensorFlow, PyTorch, or scikit‑learn
• Experience with big data technologies such as Apache Spark for data processing and distributed computing
• Solid understanding of machine learning algorithms, statistical methods, and deep learning techniques
• Experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with deploying ML models using containerization technologies (Docker, Kubernetes)
• Excellent problem‑solving skills and ability to work independently as well as part of a team in a fast‑paced environment
• Strong communication skills with the ability to explain complex concepts and findings to both technical and non‑technical stakeholders

Preferred Requirements:

• Experience with natural language processing (NLP) or computer vision (CV) applications
• Knowledge of reinforcement learning techniques and their applications
• Familiarity with version control systems (e.g., Git) and agile software development methodologies
• Competitive salary and benefits package
• Opportunities for professional development and career advancement
• Exposure to cutting‑edge technologies and industry best practices
• Dynamic and collaborative work environment
• Potential for remote work options and flexible work hours

Job Location: Remote/Hybrid/In-Office

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