Sr. Machine Learning Engineer / ML Engineer Celebal Technologies

3.0 - 6.0 years

0 - 3 Lacs

Pune, Jaipur, Mumbai (All Areas)

Work from Office

Designation Sr. Machine Learning Engineer Location Mumbai/Pune Experience 3+years We are seeking a skilled and enthusiastic Machine Learning Engineer with a minimum of 3 years of experience to join our dynamic team. The ideal candidate will have a strong background in Python programming, classical machine learning algorithms, and a solid understanding of core mathematical concepts. Additionally, proficiency in Databricks, PySpark, Azure ML pipelines and SDLCs are highly desirable. The candidate should also possess hands-on experience with Azure and/or other cloud platforms. Job Description: 1. Develop and implement machine learning models using Python and classical ML algorithms to address business challenges. 2. Collaborate with cross-functional teams to understand requirements and translate them into actionable technical solutions. 3. Utilize Databricks PySpark for scalable data processing and analysis tasks. 4. Monitor model performance and implement drift management strategies to ensure model effectiveness over time. 5. Stay updated with advancements in machine learning and contribute to the adoption of best practices within the team. 6. Conduct experiments with deep learning techniques and integrate them into the existing workflow where appropriate. Must Have: 1. Bachelor’s or master’s degree in computer science, Engineering, Mathematics, or a related field. 2. Minimum of 3 years of experience in machine learning engineering or related roles. 3. Proficiency in Python programming language and SQL. 4. Strong understanding of classical machine learning algorithms related to classification, regression, time series forecasting and recommendation systems and their applications. 5. Experience with Databricks PySpark for big data processing and analysis. 6. Experience with Azure Machine Learning Pipelines and deploying REST APIs over AKS/ACR/App Service. 7. Must be familiar with CI/CD pipelines, Time Series Forecasting and Predictive Maintenance 8. Familiarity with drift management techniques and tools. 9. Hands-on experience with Azure and other cloud platforms. 10. Knowledge of deep learning concepts and frameworks (e.g., TensorFlow, PyTorch). 11. Solid grasp of core mathematical concepts such as algebra, calculus, co-ordinate geometry and statistics. 12. Excellent problem-solving skills and ability to work in a fast-paced environment. 13. Strong communication and interpersonal skills, with the ability to collaborate effectively within a team. Preferred Qualifications: 1. Previous experience in Manufacturing industry. 2. Contributions to open-source projects or publications in the field of machine learning.

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Machine Learning Engineer / ML Engineer Celebal Technologies

2.0 - 6.0 years

0 - 3 Lacs

Pune, Jaipur, Mumbai (All Areas)

Work from Office

Designation: Sr. Machine Learning Engineer Location: Mumbai / Pune / Jaipur Experience: 3+ years We are seeking a skilled and enthusiastic Machine Learning Engineer with a minimum of 3 years of experience to join our dynamic team. The ideal candidate will have a strong background in Python programming, classical machine learning algorithms, and a solid understanding of core mathematical concepts. Additionally, proficiency in Databricks, PySpark, Azure ML pipelines and SDLCs are highly desirable. The candidate should also possess hands-on experience with Azure and/or other cloud platforms. Job Description: 1. Develop and implement machine learning models using Python and classical ML algorithms to address business challenges. 2. Collaborate with cross-functional teams to understand requirements and translate them into actionable technical solutions. 3. Utilize Databricks PySpark for scalable data processing and analysis tasks. 4. Monitor model performance and implement drift management strategies to ensure model effectiveness over time. 5. Stay updated with advancements in machine learning and contribute to the adoption of best practices within the team. 6. Conduct experiments with deep learning techniques and integrate them into the existing workflow where appropriate. Must Have: 1. Bachelors or masters degree in computer science, Engineering, Mathematics, or a related field. 2. Minimum of 3 years of experience in machine learning engineering or related roles. 3. Proficiency in Python programming language and SQL. 4. Strong understanding of classical machine learning algorithms related to classification, regression, time series forecasting and recommendation systems and their applications. 5. Experience with Databricks PySpark for big data processing and analysis. 6. Experience with Azure Machine Learning Pipelines and deploying REST APIs over AKS/ACR/App Service. 7. Must be familiar with CI/CD pipelines, Time Series Forecasting and Predictive Maintenance 8. Familiarity with drift management techniques and tools. 9. Hands-on experience with Azure and other cloud platforms. 10. Knowledge of deep learning concepts and frameworks (e.g., TensorFlow, PyTorch). 11. Solid grasp of core mathematical concepts such as algebra, calculus, co-ordinate geometry and statistics. 12. Excellent problem-solving skills and ability to work in a fast-paced environment. 13. Strong communication and interpersonal skills, with the ability to collaborate effectively within a team. Preferred Qualifications: 1. Previous experience in Manufacturing industry. 2. Contributions to open-source projects or publications in the field of machine learning.

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Lead Data Scientist Allegis Group

8.0 - 13.0 years

25 - 40 Lacs

Bengaluru

Hybrid

Job Title: Lead Data Scientist Location: Bangalore Urban, India (Hybrid) Key Responsibilities: Lead AI/ML initiatives across multiple projects. Collaborate with other data scientists and cross-functional teams. Translate business and technical requirements into actionable data science solutions. Propose and implement optimized machine learning models and data-driven strategies. Ensure quality and scalability of AI/ML solutions. Required Qualifications: Strong background in machine learning, deep learning, and data science. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large-scale data processing and model deployment. Excellent problem-solving and communication skills. Prior experience in leading data science teams or projects. Preferred Skills: Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with MLOps practices and tools. Knowledge of computer vision or NLP is a plus.

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