Qureos Mentor

Soothsayer Analytics

<div><div><div><p>Company : <b>Soothsayer Analytics</b></p>
<p>Working Hours : <b>Full Time</b></p>
<p>Locations : <b>Hyderabad</b></p>
<p>Experience : <b>4&ndash;6 Years</b></p><p><br>
</p></div>
</div><b>About the Role:
</b><div><div><p>Soothsayer Analytics is a global AI &amp; Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning &amp; GenAI solutions&mdash;spanning predictive analytics, optimization, NLP, and enterprise-scale AI platforms&mdash;that help leading enterprises forecast, automate, and gain a competitive edge.
</p><p>As a Data Engineer, you will build the foundation that powers these AI systems&mdash;scalable, secure, and high-performance data pipelines.
</p><h5 class="jobSectionHeader"><b>Job Overview</b></h5>
<p>We seek a Data Engineer (Mid-level) with 4&ndash;6 years of hands-on experience in designing, building, and optimizing data pipelines. You will work closely with AI/ML teams to ensure data availability, quality, and performance for analytics and GenAI use cases.
</p><h5 class="jobSectionHeader"><b>Key Responsibilities</b></h5>
<p><b>1. Data Pipeline Development</b></p>
<ul><li>Build and maintain scalable ETL/ELT pipelines for structured and unstructured data.</li>
<li>Ingest data from diverse sources such as APIs, streaming, and batch systems.</li>
</ul><p><b>2. Data Modeling &amp; Warehousing</b></p>
<ul><li>Design efficient data models to support analytics and AI workloads.</li>
<li>Develop and optimize data warehouses/lakes using Redshift, BigQuery, Snowflake, or Delta Lake.</li>
</ul><p><b>3. Big Data &amp; Streaming</b></p>
<ul><li>Work with distributed systems like Apache Spark, Kafka, or Flink for real-time and large-scale data processing.</li>
<li>Manage feature stores for machine learning pipelines.</li>
</ul><p><b>4. Collaboration &amp; Best Practices</b></p>
<ul><li>Work closely with Data Scientists and ML Engineers to ensure high-quality training data.</li>
<li>Implement data quality checks, observability, and governance frameworks.</li>
</ul><h5 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h5>
<ul><li><b>Education:</b> Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, or related field.</li>
<li><b>Experience:</b> 4&ndash;6 years in data engineering with expertise in:</li>
</ul><ul><li><b>Programming:</b> Python, Scala, or Java (Python preferred)</li>
<li><b>Big Data &amp; Processing:</b> Apache Spark, Kafka, Hadoop</li>
<li><b>Databases:</b> SQL and NoSQL (Postgres, MongoDB, Cassandra)</li>
<li><b>Data Warehousing:</b> Snowflake, Redshift, BigQuery, or similar</li>
<li><b>Orchestration:</b> Airflow, Luigi, or similar</li>
<li><b>Cloud Platforms:</b> AWS, Azure, or GCP (data services)</li>
<li><b>Version Control &amp; CI/CD:</b> Git, Jenkins, GitHub Actions</li>
<li><b>MLOps / GenAI Pipelines:</b> Feature engineering, embeddings, vector databases</li>
</ul><h5 class="jobSectionHeader"><b>Skills Matrix</b></h5>
<div><div><div><div><div><b>Skill</b></div> <div><b>Details</b></div> <div><b>Last Used</b></div> <div><b>Experience (Months)</b></div> <div><b>Self-Rating (0&ndash;10)</b></div>
</div><br>
</div><div><div><div>Python</div>
</div><br>
<div></div><div><div>SQL / NoSQL</div>
</div><br>
<div></div><div><div>Apache Spark</div>
</div><br>
<div></div><div><div>Kafka</div>
</div><br>
<div></div><div><div>Data Warehousing (Snowflake, Redshift, etc.)</div>
</div><br>
<div></div><div><div>Orchestration (Airflow, Luigi, etc.)</div>
</div><br>
<div></div><div><div>Cloud (AWS / Azure / GCP)</div>
</div><br>
<div></div><div><div>Data Quality / Governance Tools</div>
</div><br>
<div></div><div><div>MLOps / LLMOps</div>
</div><br>
<div></div><div><div>GenAI Integration</div>
</div><br>
</div></div></div><div></div><h5 class="jobSectionHeader"><b>Instructions for Candidates</b></h5>
<ul><li>Provide a detailed resume highlighting end-to-end data engineering projects.</li>
<li>Fill out the above skills matrix with accurate dates, duration, and self-ratings.</li></ul></div></div></div>

Data Engineer

<div><div><div><p>Company : <b>Soothsayer Analytics</b></p>
<p>Working Hours : <b>Internship (Full-time)</b></p>
<p>Locations : <b>Hyderabad</b></p>
<p>Experience : <b>0-1 Years</b></p><p><br>
</p></div>
</div><b>About the Role:
</b><div><div><p>Soothsayer Analytics is a global AI &amp; Data Science consultancy headquartered in Detroit, with a thriving delivery center in Hyderabad. We design and deploy end-to-end custom Machine Learning &amp; GenAI solutions&mdash;spanning predictive analytics, optimization, NLP, computer vision, and enterprise AI platforms&mdash;that help leading enterprises forecast, automate, and gain a competitive edge.
</p><p>This internship offers fresh graduates and early-career talent a unique opportunity to learn real-world AI applications and work alongside experienced ML and AI engineers on high-impact projects.
</p><h5 class="jobSectionHeader"><b>Job Overview</b></h5>
<p>We seek AI Interns who are passionate about AI and machine learning and eager to learn by contributing to applied projects. You will work under the mentorship of senior engineers and data scientists, gaining exposure to data preprocessing, model training, GenAI experimentation, and deployment workflows.
</p><h5 class="jobSectionHeader"><b>Key Responsibilities</b></h5>
<p><b>1. Learning &amp; Research</b></p>
<ul><li>Explore ML and AI concepts including regression, classification, clustering, and deep learning.</li>
<li>Experiment with LLMs and GenAI tools such as LangChain and basic RAG concepts.</li>
<li>Research and prototype small AI and ML projects.</li>
</ul><p><b>2. Data Preparation</b></p>
<ul><li>Assist in cleaning and preprocessing structured and unstructured datasets.</li>
<li>Support feature engineering and exploratory data analysis.</li>
</ul><p><b>3. Development Support</b></p>
<ul><li>Write basic Python scripts for ML workflows.</li>
<li>Help in preparing notebooks, documenting experiments, and testing models.</li>
</ul><p><b>4. Collaboration</b></p>
<ul><li>Work closely with mentors and teammates on applied AI tasks.</li>
<li>Participate in knowledge-sharing sessions and internal hackathons.</li>
</ul><h5 class="jobSectionHeader"><b>Required Skills &amp; Qualifications</b></h5>
<ul><li>Education: Bachelor&rsquo;s (final year) or Master&rsquo;s student in Computer Science, Data Science, AI, or related fields.</li>
<li>Experience: 0&ndash;1 years including academic projects, personal GitHub work, or hackathons.</li>
</ul><ul><li>Programming: Python (pandas, NumPy, matplotlib)</li>
<li>ML Basics: Scikit-learn (classification, regression)</li>
<li>GenAI Exposure: Prompting, basic LLM usage</li>
<li>Databases: SQL fundamentals</li>
<li>Version Control: Git basics</li>
</ul><h5 class="jobSectionHeader"><b>Skills Matrix</b></h5>
<div><div><div><div><div><b>Skill</b></div> <div><b>Details</b></div> <div><b>Last Used</b></div> <div><b>Experience (Months)</b></div> <div><b>Self-Rating (0&ndash;10)</b></div>
</div><br>
</div><div><div><div>Python (pandas, NumPy)</div>
</div><br>
<div></div><div><div>ML Basics (scikit-learn)</div>
</div><br>
<div></div><div><div>GenAI / LLMs (Prompting, LangChain basics)</div>
</div><br>
<div></div><div><div>SQL (Basics)</div>
</div><br>
<div></div><div><div>Git / Version Control</div>
</div><br>
<div></div><div><div>Data Preprocessing / EDA</div>
</div><br>
</div></div></div><div></div><h5 class="jobSectionHeader"><b>Instructions for Candidates</b></h5>
<ul><li>Share your resume highlighting academic, project, or hackathon experience in AI and ML.</li>
<li>Fill out the above skills matrix honestly (academic exposure counts as experience).</li>
<li>Share links to GitHub, Kaggle, or personal projects if available.</li></ul></div></div></div>

AI Intern

Join Soothsayer Analytics and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Soothsayer Analytics

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Data Engineer

AI Intern