Leading Data Scientist and Machine Learning Engineer

3 days ago


Bengaluru, Karnataka, India Sykatiya Technology Pvt Ltd Full time

About Sykatiya Technology Pvt Ltd :

Sykatiya Technology Pvt Ltd is a leading Semiconductor Industry innovator committed to leveraging cutting-edge technology to solve complex problems. Our mission is to drive innovation through data-driven insights.

Job Overview :

We are seeking a highly skilled and motivated Lead Data Scientist and Machine Learning Engineer to join our dynamic team and contribute to our mission of driving innovation through data-driven insights.

Job Summary :

The successful candidate will be responsible for analyzing large datasets to uncover patterns, developing predictive models, and implementing AI/ML solutions. The role involves working on projects involving neural networks, deep learning, data mining, and natural language processing (NLP) to drive business value and improve our products and services.

Key Responsibilities :

1. Develop and implement machine learning models and algorithms to solve complex business problems.

2. Enhance neural network models using deep learning techniques and improve prediction accuracy.

3. Perform data mining and analysis to uncover actionable insights from structured and unstructured data.

4. Utilize natural language processing (NLP) techniques for advanced text analytics.

5. Develop and maintain end-to-end data pipelines, ensuring data integrity and reliability.

6. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.

7. Mentor and guide junior data scientists and engineers in best practices and advanced techniques.

8. Stay abreast of the latest advancements in AI/ML, neural networks, deep learning, data mining, and NLP.

Technical Skills :

1. Proficiency in Python and its libraries (e.g., NumPy, pandas, sci-kit-learn, TensorFlow, Keras, PyTorch).

2. Strong understanding of machine learning algorithms and techniques.

3. Extensive experience with neural networks and deep learning frameworks.

4. Hands-on experience with data mining and analysis techniques.

5. Proficiency in natural language processing (NLP) tools and libraries (e.g., NLTK, spaCy, transformers).

6. Big Data Technologies : Proficiency in Sqoop, Hadoop, HDFS, Hive, PySpark.

7. Cloud Platforms: Experience with AWS services (e.g., S3, Step Functions, EventBridge, Athena, RDS, Lambda, Glue).

8. Database Management : Strong knowledge of SQL, Teradata, MySQL, PostgreSQL, and Snowflake.

9. Other Tools : Experience with ExactTarget, Marketo, SAP BO, Agile, and JIRA.

10. Analytical Skills : Ability to analyze large datasets and derive actionable insights.

11. Problem-Solving Skills : Strong problem-solving skills with the ability to think critically and creatively.

12. Communication Skills : Excellent communication and teamwork skills to collaborate with different stakeholders.

Compensation :

Our estimated salary range for this position is between $150,000 and $200,000 per annum, depending on qualifications and experience.

Experience :

We require at least 8 to 12 years of experience in a similar role.

Educational Background :

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.



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