Advanced Machine Learning Engineer
1 week ago
We are seeking a highly skilled and motivated Senior Data Scientist with over 5 years of experience in applying advanced Machine Learning (ML) techniques to real-world problems.
About the Role
- Act as a data scientist for handling, extraction, manipulation; creating structured form of data and pulling tangible insights from data.
- Use predictive modeling, statistics, trend analysis, and other data analysis techniques to explore data and answer specific research questions.
- Design, develop, and implement end-to-end data science solutions using structured and unstructured data.
- Take inputs from the manager/consultant to develop statistical models and apply appropriate techniques such as exploratory analysis, regression, and association etc.
- Develop executive presentations to present analytical insights derived from data analysis.
- Work on various problem statements in AI-ML (NLP, CV & Predictive Analytics & Maintenance etc.)
- Understand business problems specifically from the domain of automobile, manufacturing, e-commerce, aviation & digital things.
- Deal well with ambiguity and act with autonomy.
- Collaborate with the team to improve effectiveness of computational models through use of data and feedback from stakeholders.
- Support development of machine learning models with guidance from senior co-workers.
- Mentor junior data science team members as needed.
Required Skills & Qualifications
- 5+ years of experience as a Data Scientist or ML Engineer working on real-world AI/ML projects.
- Strong expertise in Machine Learning, Deep Learning, NLP, and Computer Vision techniques.
- Hands-on experience with Generative AI models and understanding of multi-modal neural networks and Transformer architectures.
- Proficiency in Python, R, and key ML/DL libraries (Scikit-learn, Pandas, TensorFlow, PyTorch, etc.).
- Strong knowledge of SQL-based and NoSQL databases (MySQL, PostgreSQL, Oracle, MongoDB).
- Experience with statistical tools and platforms like WEKA, KNIME, Power BI, etc.
- Working experience with Big Data technologies – HDFS, Spark, Hive, Sqoop, MapReduce.
- Good understanding of cloud platforms (AWS, Azure, or GCP) - any hands-on experience is a plus.
- Excellent analytical, problem-solving, and communication skills.
- Domain experience in Automotive, Manufacturing, E-commerce, Aviation, or Digital Platforms is highly desirable.
- Ability to work both independently and within a team setting with a proactive mindset.
Benefits
The selected candidate will have opportunities to work on challenging projects, learn new technologies, and collaborate with experienced professionals. We also offer competitive compensation and benefits packages.
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