Data Scientist ( AI/AWS)

<h3>Company Overview:</h3><p>At <strong>TechX</strong>, we are pioneers in delivering cutting-edge solutions that empower businesses to thrive in today’s digital landscape. With a strong focus on <strong>Cloud Transformation (AWS)</strong>, <strong>Data Modernization</strong>, and <strong>Generative AI</strong>, we bring unparalleled expertise to drive innovation, efficiency, and growth for our clients.</p><p>We specialize in <strong>banking and financial services, retail, manufacturing, and transportation</strong>, delivering impactful solutions that address industry-specific challenges and significant market shifts.</p><p>Together, we’ll build a future where innovation knows no limits.</p><h3>Job Overview:</h3><ul><li><p>The Data Scientist will be responsible for designing, developing, and validating data models and AI components within the Synaptix™ AIOps platform.</p></li><li><p>This role ensures model accuracy, scalability, and reliability to support intelligent IT operations, predictive insights, and governed AI use cases for enterprise customers.</p></li></ul><h3>Key Responsibilities:</h3><ul><li><p>Design, develop, and maintain machine learning and statistical models supporting Synaptix AIOps use cases (e.g., anomaly detection, prediction, classification).</p></li><li><p>Translate business and operational requirements into data science problems and model approaches.</p></li><li><p> Perform data exploration, feature engineering, and data quality validation to ensure reliable model inputs.</p></li><li><p>Build, evaluate, and optimize models with clear performance metrics (accuracy, precision/recall, latency, stability).</p></li><li><p>Collaborate closely with Data Engineers, ML Engineers, DevOps, and Product teams to ensure smooth integration into the platform.</p></li><li><p>Support model deployment, monitoring, and retraining strategies to maintain performance in production.</p></li><li><p>Document model logic, assumptions, limitations, and validation results for internal governance and auditability.</p></li><li><p>Participate in technical discussions with stakeholders to explain model behavior and recommendations.</p></li><li><p>Contribute to improving AI standards, best practices, and reusable components within Synaptix.</p></li></ul><h3>Key Requirements:</h3><ul><li><p>From 3 years of experience in Data Science or Applied Machine Learning.</p></li><li><p>Strong knowledge of machine learning, statistical modeling, and model evaluation.</p></li><li><p>Hands-on experience in data exploration, feature engineering, and data quality validation.</p></li><li><p>Proficiency in Python and common data science libraries.</p></li><li><p>Experience working with production or platform ML systems and cross-functional teams.</p></li><li><p>Ability to translate business requirements into data-driven solutions and explain model behavior clearly.</p></li><li><p>Familiarity with model documentation, monitoring, and retraining in enterprise environments.</p></li></ul><h5>Nice to Have</h5><ul><li><p>Experience with AIOps, IT Operations data</p></li><li><p>Familiarity with cloud environments or large-scale data platforms.</p></li><li><p>Understanding of explainable AI and enterprise AI governance."</p></li></ul><h3>What We Offer:</h3><ul><li><p><strong>Innovative Environment:</strong> A dynamic and collaborative work environment where innovation is encouraged.</p></li><li><p><strong>Professional Growth:</strong> Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies.</p></li><li><p><strong>Competitive Package:</strong> Competitive salary and benefits package</p></li><li><p><strong>Impactful Work: </strong>The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success.</p></li></ul><p><strong><em>Apply now!</em></strong></p><p><em>Due to the high volume of applicants, only shortlisted candidates will be contacted. We apologize for this inconvenience!</em></p>