ATMECS Global Inc
Location
Secunderabad | India
Job description
Job Title: Data Science Engineer
Experience: 3 – 5 years only
Notice: Immediate - 7 days only (Not looking for 30, 45, 60 and 90 days)
Location: Manikonda, Hyderabad
Mode of Work: Hybrid
Mode of Employment: Full Time
Overview:
As a Data Science Engineer, you will be an integral part of our cutting-edge technology team, responsible for designing, implementing, and maintaining data pipelines and machine learning models. This role is pivotal in driving data-informed decision-making across our organization, enhancing our products, and optimizing business processes.
Key Responsibilities:
Data Pipeline Development:
Ø Design, build, and maintain scalable, efficient, and reliable data pipelines to ingest, transform, and store large volumes of structured and unstructured data.
Ø Collaborate with cross-functional teams to gather requirements, understand data sources, and implement robust ETL (Extract, Transform, Load) processes.
Machine Learning Model Development:
Ø Develop and deploy machine learning models for various applications such as predictive analytics, recommendation systems, and anomaly detection.
Ø Utilize techniques in statistical analysis, data mining, and machine learning to extract insights and solve complex business problems.
Data Processing and Analysis:
Ø Conduct exploratory data analysis to discover trends, patterns, and relationships in the data.
Ø Perform data cleaning, feature engineering, and statistical analysis to prepare data for modelling.
Model Evaluation and Optimization:
Ø Evaluate model performance using metrics such as accuracy, precision, recall, and AUC-ROC.
Ø Implement model tuning and optimization techniques to improve performance and efficiency.
Collaboration and Communication:
Ø Collaborate closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.
Ø Communicate findings and insights effectively to both technical and non-technical audiences through reports, presentations, and dashboards.
Infrastructure and Tools:
Ø Work with cloud-based platforms such as AWS, Azure, or Google Cloud for data storage, processing, and deployment.
Ø Utilize tools and frameworks such as Apache Spark, TensorFlow, PyTorch, and scikit-learn for model development and deployment.
Continuous Learning and Innovation:
Ø Stay updated with the latest trends and advancements in data science, machine learning, and big data technologies.
Ø Propose and implement innovative solutions to enhance data-driven decision-making and business processes.
Qualifications
Ø Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
Ø Proven experience as a Data Engineer, Machine Learning Engineer, or similar role.
Ø Strong proficiency in programming languages such as Python, Java, Scala, or R.
Ø Experience with big data technologies such as Hadoop, Spark, or Kafka.
Ø Knowledge of database systems (SQL, NoSQL) and data warehousing concepts.
Ø Strong experience with machine learning techniques and libraries (e.g., TensorFlow, scikit-learn, PyTorch).
Ø Experience working with cloud platforms and services (AWS, Azure, Google Cloud).
Ø Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Ø Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
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