Machine Learning Engineer with Data Science Focus

2 days ago


Mumbai, Maharashtra, India Cloud Counselage Pvt Ltd Full time

Cloud Counselage Pvt Ltd is a dynamic and innovative company looking for a Junior Machine Learning Engineer to join our team. As a key member of our data science team, you will play a crucial role in developing, implementing, and maintaining machine learning models and algorithms to solve complex business problems.

We offer a competitive salary range of $80,000 - $120,000 per year, depending on experience and location. Our remote/hybrid/in-office job location offers flexibility and work-life balance.

Job Description:

  • Develop and deploy machine learning models: Collaborate with senior engineers and data scientists to understand project requirements and design machine learning solutions.
  • Pre-process data and explore insights: Pre-process data, perform feature engineering, and explore data to identify patterns and insights.
  • Evaluate model performance and optimize algorithms: Evaluate model performance, troubleshoot issues, and optimize algorithms for scalability and efficiency.
  • Stay updated with the latest techniques and technologies: Stay updated with the latest machine learning techniques, tools, and technologies.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field. We value candidates with strong academic backgrounds and relevant work experience.
  • 1-2 years of experience in machine learning or data science. We're looking for candidates with hands-on experience in machine learning development and deployment.
  • Solid understanding of machine learning fundamentals. We require a deep understanding of regression, classification, clustering, and neural networks.
  • Proficiency in programming languages like Python, R, or Java. Experience with libraries like TensorFlow, PyTorch, scikit-learn, or Keras is a plus.
  • Familiarity with data manipulation, visualization, and analysis tools. We use pandas, NumPy, matplotlib, and other popular tools in the industry.

Benefits:

  • Competitive salary and benefits package. We offer a comprehensive compensation package that includes medical insurance, retirement plan matching, and paid time off.
  • Opportunities for professional growth and development. We invest in our employees' education and career advancement.
  • Collaborative and dynamic work environment. We foster a culture of innovation, teamwork, and continuous improvement.

Mandatory Requirements:

  • Candidate should have a degree in a relevant field. A Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field is required.
  • Candidate must have 1-2 years of experience in machine learning or data science. We prefer candidates with hands-on experience in machine learning development and deployment.

Preferred Qualifications:

  • Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with cloud infrastructure is a plus.
  • Knowledge of big data technologies like Hadoop, Spark, or Kafka. Experience with big data processing and analytics is desirable.

Qualities:

  • Strong problem-solving skills and attention to detail. We value candidates who can think critically and solve complex problems.
  • Excellent communication and teamwork abilities. We're looking for candidates who can collaborate effectively with cross-functional teams.


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