senior data scientist

AB InBev GCC India

<div>
 <p>
  <em>
   AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
  </em>
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 </p>
 <p>
  <em>
   Do You Dream Big?
  </em>
 </p>
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 </p>
 <p>
  <em>
   We Need You.
  </em>
 </p>
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 </p>
 <p>
  <strong>
   Job Title: Senior Data Scientist &ndash; GBS Commercial
  </strong>
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  <strong>
   Location: Bangalore
  </strong>
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  <strong>
   Reporting to: Senior Manager &ndash; GBS Commercial
  </strong>
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  <strong>
   PURPOSE OF ROLE
  </strong>
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 <p>
  We are seeking an experienced Senior Data Scientist and People Manager to lead the development of data-driven products and analytical solutions supporting our sales and business operations. This role is critical in designing, building, and scaling robust data science and machine learning solutions that directly impact business outcomes. The ideal candidate will combine deep technical expertise with proven people management skills and a track record of building, mentoring, and leading high-performing teams
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  <strong>
   KEY TASKS AND ACCOUNTABILITIES
  </strong>
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  <strong>
   Data Science &amp; Product Leadership:
  </strong>
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 <ul>
  <li>
   Lead the end-to-end design, development, and deployment of data products, predictive models, and analytics solutions tailored to business needs.
  </li>
  <li>
   Drive the roadmap for data science initiatives, from ideation through to production and ongoing enhancement.
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   Collaborate with engineering and product teams to integrate machine learning models and analytics into scalable products.
  </li>
 </ul>
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  <strong>
   People Management &amp; Team Development:
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  <li>
   Manage, mentor, and develop a team of data scientists, analysts, and engineers, fostering a high-performance, inclusive culture.
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   Oversee performance management, career development, and upskilling initiatives within the team.
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   Set clear objectives, provide constructive feedback, and guide team members towards excellence.
  </li>
 </ul>
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   Collaboration &amp; Stakeholder Management:
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  <li>
   Work closely with stakeholders across different teams to understand business requirements and translate them into scalable technical solutions.
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   Engage with end users to gather feedback, iterate on features, and improve application usability.
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   Provide training, support, and troubleshooting to ensure smooth adoption and usage of applications.
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   Partner closely with cross-functional stakeholders (Sales, Marketing, IT, Operations) to understand business requirements and translate them into actionable analytics and product solutions.
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   Present insights and recommendations to senior leadership, enabling data-driven decision making
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   Process Improvement &amp; Innovation:
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   Continuously monitor application performance, identify bottlenecks, and implement optimizations for better efficiency and scalability.
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   Propose new features and enhancements to improve user experience and streamline business processes.
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   Documentation &amp; Reporting:
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   Maintain comprehensive technical documentation, including data/model pipelines, architecture diagrams, and user guides.
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   Develop and share reports, dashboards, and presentations that communicate business impact and technical findings
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   Support &amp; Troubleshooting:
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   Provide ongoing technical support for deployed solutions, including debugging, performance tuning, and version control.
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   Ensure system stability, security, and compliance with relevant data governance standards.
  </li>
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  <strong>
   Preferred Skills &amp; Technologies:
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  <li>
   <strong>
    Programming:
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   Python (Pandas, scikit-learn, PySpark), SQL
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    Machine Learning:
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   End-to-end ML model development &amp; deployment
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    Data Engineering:
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   ETL pipelines, data modeling, Spark/Airflow (preferred)
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    API/Product Development:
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   Flask/FastAPI, integration with business applications
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    Cloud &amp; DevOps:
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   AWS/Azure/GCP, Docker, CI/CD (GitHub Actions, Jenkins)
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    Databases:
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   PostgreSQL, MySQL, NoSQL (desirable)
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    Version Control:
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   Git, collaborative workflows
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    Visualization:
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   Power BI, Tableau, or similar (preferred)
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   <strong>
    Storytelling with Data:
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   Ability to convey insights through impactful data visualizations and clear narratives
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   <strong>
    Good to have:
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   Experience with LLMs, GenAI, or agent frameworks
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 </ul>
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 </p>
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  <em>
   And above all of this, an undying love for beer!
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 <p>
  <em>
   We dream big to create future with more cheers
  </em>
  .
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</div>


Senior Data Scientist

INNOVATOR WEB SOLUTIONS

<div><div><div><div><div><div><div><b>Job Category: </b>Development</div><div><b>
Job Type: </b>Full Time</div></div></div></div><div><p>
Job description: Senior Data Scientist (8+ Years Experience)<br>
Location: Malad West, Mumbai<br>
Company: Innovator Web Solution Pvt. Ltd.</p><p>
About the Role</p><p>
We are looking for a visionary Senior Data Scientist who excels in predictive analytics and machine learning. You will lead the design, development, deployment, and optimization of data-driven products that drive high business impact&mdash;such as forecasting the price/value of stocks, commodities, or consumer goods (e.g., apparel, retail).</p><p>
This role is for someone who has successfully taken machine learning models from concept to production, iteratively improved them based on user feedback and real-world performance, and thrives on delivering measurable results.</p><p>
Key Responsibilities</p><p>
End-to-End Product Ownership: Lead the development of predictive models from exploration and prototype to full-scale production deployment.<br>
Forecasting &amp; Prediction: Build robust time-series and regression models to predict prices/values of financial assets, oil, apparel, and other commodities.<br>
Model Optimization: Continuously monitor and fine-tune models for accuracy, performance, and scalability using real-time data feedback.<br>
ML Ops &amp; Deployment: Collaborate with engineering to ensure successful deployment and monitoring of models in production environments.<br>
Stakeholder Collaboration: Translate business problems into analytical frameworks, working closely with product, strategy, and business teams.<br>
Data Strategy: Define and manage pipelines and feature stores using structured and unstructured data sources.<br>
Mentorship: Guide and mentor junior data scientists and analysts in best practices and advanced modeling techniques.<br>
Required Qualifications 8+ years of experience in data science, with a strong background in predictive analytics and machine learning.<br>
Proven experience building and scaling ML models in production environments (not just notebooks or PoCs).<br>
Deep expertise in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, LightGBM, TensorFlow/PyTorch).<br>
Strong knowledge of time-series forecasting, regression techniques, and feature engineering.<br>
Experience in domains such as finance, commodities, retail pricing, or demand prediction is highly preferred.<br>
Experience working with cloud platforms (AWS, GCP, or Azure) and tools like Airflow, Docker, and MLflow.<br>
Ability to define success metrics, conduct A/B tests, and iterate based on measurable KPIs.<br>
Excellent communication and storytelling skills with both technical and non-technical stakeholders.<br>
Preferred Experience with LLMs, deep learning, or hybrid modeling approaches.<br>
Familiarity with data privacy, compliance, and governance in production systems.<br>
Publications or thought leadership in applied machine learning or forecasting.</p><p>
Why Join Us? Work on high-impact projects with massive data volumes.<br>
Shape predictive products that directly influence strategic business outcomes.<br>
Join a collaborative, data-first culture with real ownership and innovation.</p></div></div></div></div><p></p>

Jeel

<div>
 <p>
  <strong>
   Senior Data Scientist &ndash; Drive AI Innovation at Jeel!
  </strong>
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  📍
  <strong>
   Location:
  </strong>
  Riyadh, Saudi Arabia
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  🏢
  <strong>
   Company:
  </strong>
  Jeel Digital Innovations (A Subsidiary of Riyad Bank)
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  <strong>
   About Jeel Digital Innovations:
  </strong>
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  Jeel is more than a tech company &ndash; we are a bold digital movement redefining financial services through AI, data science, and cutting-edge digital products. As a subsidiary of Riyad Bank, Jeel combines start-up agility with the scale and security of a major financial institution.
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  We&rsquo;re building a future where data is not just analysed &ndash; it&rsquo;s activated to solve real-world challenges. If you're passionate about machine learning, intelligent automation, and ethical AI, we want you on our team.
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  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  As a Senior Data Scientist at Jeel, you&rsquo;ll lead the design, development, and deployment of scalable AI/ML solutions that directly impact customers, internal decision-making, and business outcomes. You&rsquo;ll work across data engineering, MLOps, analytics, and governance &ndash; while exploring the frontier of GenAI, LLMs, and applied data science in fintech.
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  This role isn&rsquo;t just about building models &ndash; it&rsquo;s about shaping the AI strategy of a digitally-ambitious organisation.
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  <strong>
   Key Responsibilities:
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  🧠
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   AI Strategy &amp; Model Development
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  &ndash; Build and operationalise ML models that solve high-impact business problems using Python, TensorFlow, PyTorch, and Scikit-learn.
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  📊
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   Data Analytics &amp; Visualisation
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  &ndash; Deliver predictive insights via tools like Tableau, Power BI, and Apache Superset.
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  🚀
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   MLOps &amp; Deployment
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  &ndash; Deploy robust, scalable models via CI/CD, Docker, Kubernetes and cloud platforms (GCP, Azure, AWS).
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  📉
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   Cost Efficiency &amp; Performance Tuning
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  &ndash; Optimise data pipelines, AI workloads, and storage costs across cloud-native platforms.
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  🛡️
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   Ethical AI &amp; Governance
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  &ndash; Ensure regulatory compliance (SAMA, GDPR, NCA) and promote responsible AI standards.
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  🤝
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   Cross-Functional Collaboration
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  &ndash; Work closely with engineers, product owners, and business leaders to embed intelligence into every decision.
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  <strong>
   Who We&rsquo;re Looking For:
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  ✅
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   Education
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  : Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, Statistics, or related field.
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  ✅
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   Experience
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  : 5+ years in data science/ML; hands-on cloud AI deployment; MLOps and big data engineering.
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  ✅
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   Technical Stack
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  : Python, R, SQL, Spark, TensorFlow, PyTorch, Scikit-learn, Docker, Kubernetes, GitLab CI, Apache Kafka.
 </p>
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  ✅
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   Bonus
  </strong>
  : Experience with LLMs, RAG, NLP, and real-time data streaming.
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  ✅
  <strong>
   Soft Skills
  </strong>
  : Strategic mindset, excellent storytelling, collaboration, and curiosity.
 </p>
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  <br/>
 </p>
 <p>
  <strong>
   Why Join Jeel?
  </strong>
 </p>
 <p>
  🌍
  <strong>
   Impact-Driven AI Work
  </strong>
  &ndash; Solve real challenges in fintech and digital banking with ethical, future-ready AI.
 </p>
 <p>
  🏗️
  <strong>
   Full-Stack Data Environment
  </strong>
  &ndash; Engage across model building, data engineering, deployment, and experimentation.
 </p>
 <p>
  📈
  <strong>
   Learn &amp; Grow
  </strong>
  &ndash; Continuous learning is in our DNA. Explore LLMs, AutoML, cloud AI, and emerging trends.
 </p>
 <p>
  🤝
  <strong>
   A Collaborative Culture
  </strong>
  &ndash; Work with mission-driven experts who believe in purpose, autonomy, and excellence.
 </p>
 <p>
  🚀
  <strong>
   Shape Tomorrow
  </strong>
  &ndash; Your insights will drive innovation across Jeel&rsquo;s next-gen digital products and services.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ready to Build the Future of AI at Jeel?
  </strong>
 </p>
 <p>
  If you're excited about innovation, passionate about data, and driven to make a difference &ndash; apply now and join us on this journey.
 </p>
</div>


Techrbm

<p>Job Description &ndash; Senior Data Scientist (7&ndash;10 Years)</p><p>Location: Onsite | Mohali</p><p>Employment Type: Full-Time (Work from Office)</p><p>Experience: 7&ndash;10 Years</p><p>Role Overview</p><p>We&rsquo;re hiring a Senior Data Scientist who can own end-to-end problem solving&mdash;from</p><p>business discovery and hypothesis design to model deployment and post-production</p><p>monitoring. You will partner with product, engineering, and client stakeholders to build</p><p>production-grade ML/AI and GenAI solutions on AWS/Azure/GCP and mentor a small</p><p>pod (2&ndash;5) of data scientists/ML engineers.</p><p>Key Responsibilities</p><ul><li>Business &amp; Problem Framing: Engage with client stakeholders to translate</li></ul><p>objectives into measurable DS/ML use cases, define success metrics (ROI,</p><p>adoption, accuracy, latency), and create experiment plans.</p><ul><li>Data Strategy &amp; Feature Engineering: Own data acquisition, quality checks, EDA,</li></ul><p>and feature pipelines across SQL/Spark/Databricks; collaborate with Data</p><p>Engineering for robust ingestion and transformation (Airflow/dbt).</p><ul><li>Modeling: Build, tune, and compare models for supervised/unsupervised</li></ul><p>learning, time-series forecasting, NLP/CV, and GenAI (RAG, fine-tuning,</p><p>prompt-engineering) using Python (pandas, NumPy, scikit-learn,</p><p>XGBoost/LightGBM), PyTorch/TensorFlow, Hugging Face.</p><ul><li>MLOps &amp; Deployment: Productionize via MLflow/DVC, model registry, CI/CD</li></ul><p>(GitHub/GitLab), containers (Docker/Kubernetes), and cloud ML platforms</p><p>(SageMaker/Azure ML/Vertex AI). Expose services via FastAPI/Flask; implement</p><p>monitoring for drift, data quality, and model performance.</p><ul><li>Experimentation &amp; Causality: Design and analyze A/B tests, apply causal</li></ul><p>inference techniques (e.g., propensity scoring, DiD) to measure true impact.</p><ul><li>Explainability, Fairness &amp; Compliance: Apply model cards, SHAP/LIME, bias</li></ul><p>checks, PII handling, anonymization/pseudonymization, and align with</p><p>applicable data privacy regulations (e.g., GDPR/DPDP).</p><ul><li>Visualization &amp; Storytelling: Build insights dashboards (Tableau/Power</li></ul><p>BI/Plotly) and communicate recommendations to senior business and technical</p><p>stakeholders.</p><ul><li>Collaboration &amp; Leadership: Mentor juniors, conduct code and research</li></ul><p>reviews, contribute to standards, and support solutioning during</p><p>pre-sales/POCs.</p><p>Required Skills &amp; Experience</p><ul><li>Experience: 7&ndash;10 years overall, with 5+ years in applied ML/Data Science</li></ul><p>delivering models to production for enterprise clients.</p><ul><li>Programming &amp; Data: Expert Python, advanced SQL, and hands-on with</li></ul><p>Spark/Databricks. Strong software practices (testing, typing, packaging).</p><ul><li>ML/AI Stack: scikit-learn, XGBoost/LightGBM; PyTorch or TensorFlow; NLP</li></ul><p>(spaCy, Transformers, embeddings), vector DBs (FAISS/Pinecone),</p><p>LangChain/LlamaIndex for RAG.</p><ul><li>Cloud &amp; MLOps: Real-world deployments on AWS/Azure/GCP using</li></ul><p>SageMaker/Azure ML/Vertex AI; MLflow, model registry, feature store,</p><p>Docker/K8s, and CI/CD.</p><ul><li>Experimentation &amp; Analytics: A/B testing, Bayesian/ frequentist methods, causal</li></ul><p>inference, statistical rigor.</p><ul><li>Visualization &amp; Communication: Storytelling with data; Tableau/Power BI/Plotly,</li></ul><p>executive-ready presentations.</p><ul><li>Domain Exposure (nice-to-have): BFSI risk/collections/CLV, retail</li></ul><p>demand/personalization, healthcare claims/clinical NLP, manufacturing</p><p>quality/predictive maintenance.</p><ul><li>Bonus: Recommenders, time-series, graph ML, optimization (OR),</li></ul><p>reinforcement learning, geospatial analytics.</p><p>Education &amp; Certifications</p><ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Science, Statistics, Applied Math,</li></ul><p>or related field.</p><ul><li>Preferred certifications: AWS/Azure/GCP ML, Databricks, TensorFlow or</li></ul><p>PyTorch.</p><p>Ways of Working @ TechRBM</p><ul><li>Onsite (Mohali), WFO with collaboration-friendly core hours; limited client travel</li></ul><p>may occur.</p><ul><li>Agile delivery (Scrum/Kanban), Jira/Confluence, Git-based workflows, code</li></ul><p>reviews, and documentation-first culture.</p><ul><li>Ethical AI and secure-by-design practices embedded across the lifecycle.</li></ul><p>Kindly share your resume on this email id - recruiter1@techrbm.com</p><p>Job Type: Full-time</p><p>Pay: &#8377;547,610.79 - &#8377;1,587,443.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Jk Lucent Pvt Ltd

<p><b>Job Title: Senior Data Scientist</b></p><p><b>Experience: 5+ years</b></p><p><b>Location: Infopark, Koratty, Kerala</b></p><p><b>Job Type: Full Time</b></p><p><b>Job Summary:</b></p><p>We are looking for a highly skilled <b>Senior Data Scientist</b> to join the team at <b>JK Lucent</b>. The ideal candidate will bring a strong background in <b>developing and deploying machine learning models</b>, <b>extracting actionable insights from complex datasets</b>, and <b>building scalable, data-driven solutions</b>.</p><p>In this role, you will:</p><ul><li>Design and implement advanced <b>AI/ML models</b> to support strategic business objectives.</li><li>Write robust <b>engineering-grade code</b> that integrates seamlessly into production environments.</li><li>Work closely with <b>cross-functional teams</b> to turn data into insights and drive measurable business outcomes.</li></ul><p><b>Key Responsibilities:</b></p><p>1.&#8288; &#8288;Develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.</p><p>2.&#8288; &#8288;Extract insights from complex data and communicate findings to stakeholders.</p><p>3.&#8288; &#8288;Design and implement data-driven solutions, including real-time and batch processing systems.</p><p>4.&#8288; &#8288;Collaborate with engineers to build scalable and efficient data pipelines.</p><p>5.&#8288; &#8288;Develop and maintain RESTful APIs to serve machine learning models.</p><p>6.&#8288; &#8288;Work with databases, including data modeling, schema design, and query optimization.</p><p>7.&#8288; &#8288;Work with GitHub, Docker, and AWS to ensure smooth deployment and management of models.</p><p>8.&#8288; &#8288;Stay up-to-date with industry trends and advancements in AI/ML.</p><p><b>Required Skills:</b></p><p>1.&#8288; &#8288;5+ years of experience in data science and machine learning.</p><p>2.&#8288; &#8288;Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.</p><p>3.&#8288; &#8288;Experience with machine learning model development, deployment, and maintenance.</p><p>4.&#8288; &#8288;Strong understanding of data structures, algorithms, and software design patterns.</p><p>5.&#8288; &#8288;Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).</p><p>6.&#8288; &#8288;Experience with GitHub, Docker, and AWS.</p><p>7.&#8288; &#8288;Familiarity with RESTful API design and development.</p><p>8.&#8288; &#8288;Experience with real-time and batch processing systems.</p><p>9.&#8288; &#8288;Excellent communication and collaboration skills.</p><p><b>Nice to Have:</b></p><p>1.&#8288; &#8288;Experience with time series forecasting and analysis.</p><p>2.&#8288; &#8288;Knowledge of deep learning frameworks like TensorFlow or Keras.</p><p>3.&#8288; &#8288;Familiarity with natural language processing (NLP).</p><p>4.&#8288; &#8288;Experience with data visualization tools like Matplotlib, Seaborn, or Plotly.</p><p>5.&#8288; &#8288;Knowledge of Agile development methodologies and Scrum framework.</p><p>6.&#8288; &#8288;Experience with cloud platforms like AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning.</p><p><b>What We Offer:</b></p><p>1.&#8288; &#8288;Competitive salary and benefits package.</p><p>2.&#8288; &#8288;Opportunity to work on complex and challenging projects.</p><p>3.&#8288; &#8288;Collaborative and dynamic work environment.</p><p>4.&#8288; &#8288;Professional growth and development opportunities.</p><p>Job Type: Full-time</p><p>Pay: &#8377;700,000.00 - &#8377;1,500,000.00 per year</p><p>Ability to commute/relocate:</p><ul><li>Thrissur, Kerala: Reliably commute or planning to relocate before starting work (Preferred)</li></ul><p>Application Question(s):</p><ul><li>What is your current notice period (in days)?</li><li>What is your expected annual salary (INR, in Lakhs)?</li><li>What is your current annual salary (INR, in Lakhs)?</li></ul><p>Experience:</p><ul><li> data science and machine learning: 5 years (Required)</li><li>time series forecasting and analysis: 2 years (Preferred)</li><li>Python: 5 years (Preferred)</li><li>machine learning model development, deployment: 3 years (Preferred)</li></ul><p>Work Location: In person</p>

Turbo Hire

<div></div><div><div><div><div><div><div><div><div><b>Full Time</b></div></div></div><div><div>
Job Code: TTPLO-57322 | TurboHire.co</div></div><div></div><div><div><div><div><div><div>
Hyderabad, Telangana, India</div></div></div></div></div><div></div><div><div>
1 position</div></div><div></div><div><div>
Expires on 22/10/2025</div></div></div></div></div><p></p><div><div><div><div><br>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div>Required Experience</div><p><b>
3 - 5 Years</b></p></div></div><div></div><div><div><div>
Skills</div><div><div><div><b>
OpenNLP,
</b></div></div><div><div><b>python,
</b></div></div><div><div><b>machine learning met...
</b></div></div></div></div></div></div><div></div><div><div><div><p>About the Role<br>
We are seeking a Senior Data Scientist who can leverage advanced analytics, machine learning, and<br>
NLP techniques to drive data-powered innovation at TurboHire. You will work across product,<br>
engineering, and business teams to design scalable models, solve complex problems, and contribute<br>
to the development of intelligent recruitment solutions.</p><p><br>
Responsibilities<br>
&#61623; Use expertise in Python, NLP, machine learning, and problem-solving to design and deploy<br>
data science solutions.<br>
&#61623; Collaborate with product, marketing, and engineering teams to leverage data science in<br>
solving cross-disciplinary problems.<br>
&#61623; Develop and implement analytical and predictive models for product and service<br>
development.<br>
&#61623; Build tools and automation pipelines to optimize business processes.<br>
&#61623; Mentor and coach junior data scientists, ensuring best practices in methodology, coding, and<br>
experimentation.<br>
&#61623; Work closely with ML engineers and software developers to productionize models with<br>
scalability and robustness.<br>
&#61623; Conduct in-depth data analysis to derive insights that guide decision-making and product<br>
strategy.</p><p><br>
Requirements<br>
&#61623; Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Data Science, Statistics, Applied<br>
Mathematics, or Computer Science.<br>
&#61623; 3+ years of experience in data science or applied ML roles.<br>
&#61623; Strong programming skills in Python (experience in Go is a plus).<br>
&#61623; Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow,<br>
PyTorch).<br>
&#61623; Familiarity with Flask/Django and database technologies (MySQL, PostgreSQL, or<br>
equivalent).<br>
&#61623; Knowledge of data visualization, statistical modeling, and ML algorithms.<br>
&#61623; Experience developing and managing data pipelines for machine learning systems.<br>
&#61623; Exposure to GPU-accelerated workloads in production environments.<br>
&#61623; Excellent communication skills and ability to work collaboratively in cross-functional teams.</p><p><br>
Preferred Skills<br>
&#61623; Experience applying NLP techniques for text classification, parsing, or semantic search.<br>
<br>
&#61623; Familiarity with ensemble methods, optimization techniques (adaptable across domains).<br>
&#61623; Experience with vector databases (FAISS, Pinecone, Weaviate, Milvus) and embedding-<br>
based retrieval.</p></div></div><p></p><div><div><div><p><br>
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</div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><b>About Company</b></div></div></div></div></div></div></div></div><p></p>

Perfios

<div>
 <p>
  <strong>
   Primary Function:-
  </strong>
 </p>
 <p>
  As a Senior Data Scientist, you will:
 </p>
 <p>
  ● Work collaboratively with the engineering and product teams.
 </p>
 <p>
  ● Communicate and articulate complex issues &amp; technologies easily to stakeholders at different levels.
 </p>
 <p>
  ● Think through problems and drive solutions from inception to shipment.
 </p>
 <p>
  ● Keeping abreast of research trends in the field of Deep Learning/vision/NLP.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualification &amp; Competency:-
  </strong>
 </p>
 <p>
  ● Bachelors or above in Data Science, Mathematics, Statistics, Econometrics, Computer Science or a related field.
 </p>
 <p>
  ● 3-5 years of experience in building complete ML products; from the problem analysis and data selection to their production deployment
 </p>
 <p>
  and monitoring for progressive enhancements and drifts from business impact.
 </p>
 <p>
  ● Theoretical knowledge and hands-on experience in deep learning/computer vision/NLP
 </p>
 <p>
  ● Ability to rapidly prototype and evaluate algorithms.
 </p>
 <p>
  ● Experience on working with text only and multimodel SLMs will be a big plus. This involves finetuning and building robust eval pipelines
 </p>
 <p>
  specific to use cases.
 </p>
 <p>
  ● Experience with deep learning frameworks such as Keras, PyTorch and TensorFlow.
 </p>
 <p>
  ● Good programming skills is a must, especially skills relevant to building robust ML models.
 </p>
 <p>
  ● Domain experience in Fintech is preferred, but not mandatory.
 </p>
 <p>
  ● Experience of publishing in top-tier conferences and journals will be considered a plus.
 </p>
 <p>
 </p>
</div>


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