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Data Engineer


Seven Hiring


Location

New Delhi | India


Job description

Job Title: Senior Data Scientist (AI/ML/DL) Location: Delhi, India

Key Responsibilities:

- Collaborate with cross-functional teams to identify business objectives and develop data-driven solutions using AI/ML/DL techniques. Must be familiar with Databricks, PySpark, SQL, batch and streaming approaches, Azure technologies, and data modeling. - Collect, preprocess, and analyze large volumes of structured and unstructured data to extract valuable insights and patterns. - Design and implement machine learning algorithms and models to address specific business needs, such as predictive analytics, recommendation systems, and anomaly detection. - Utilize deep learning frameworks and neural networks to develop sophisticated models for image recognition, natural language processing, and other AI applications. - Evaluate the performance of AI/ML/DL models through rigorous testing, validation, and optimization techniques. - Communicate findings and present actionable recommendations to stakeholders through reports, visualizations, and presentations. - Stay updated on the latest advancements in AI/ML/DL technologies and best practices to drive continuous improvement and innovation within the organization.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. - Minimum of 4 years of hands-on experience in data science, with a focus on AI, ML, and DL. - Proficiency in programming languages such as Python, R, or Java, along with experience using libraries and frameworks like TensorFlow, Keras, PyTorch, and scikit-learn. - Strong understanding of statistical analysis, data mining, and exploratory data analysis techniques. - Experience working with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP). - Excellent problem-solving skills and the ability to translate business requirements into technical solutions. - Effective communication skills with the ability to convey complex concepts to both technical and non-technical audiences. - Proven track record of delivering high-quality results within established timelines and project constraints.


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