Data Science Architect - Artificial Intelligence/Machine Learning Solutions (4-8 yrs)

Currently we have an urgent job opening- for Data Science Architect with one of our client location in Pune. Please go through the job description below.

Company Profile :

Our Client is a premier software services company specializing in digital transformation and enterprise reinvention, delivering end-to-end results to clients across diverse sectors. They have dynamic suite of advanced solutions built on Generative AI, Machine Learning, Data Science, Industry Data Models, Infrastructure & Database Migration, SAP Extend & Innovate, App Modernization, and Enterprise Cloud Integration, positions us at the nexus of traditional enterprise systems and modern cloud innovation. With a global presence spanning the USA, India, APAC, UAE, Europe, and Canada. It has boasts a dedicated workforce of over 2000+ professionals that serve up an impressive client base, including 90% of Fortune 500 companies, guiding them through their transformative digital journeys.

Position Title : Data Science Architect

Qualifications : Master's degree in Data Science, Computer Science, or a related field.

Experience : 4+ Years

Job Location : Pune

Job Summary :

Our client are seeking an innovative and highly skilled Data Scientist with 2-4 years of experience in cutting-edge machine learning and AI solutions. The ideal candidate will demonstrate a strong foundation in classical machine learning, advanced time series analytics, and proficiency in implementing state-of-the-art Generative AI and multimodal models. Expertise in migrating ML workflows (e.g., SageMaker to Databricks), leveraging the Databricks Lakehouse Platform, and deploying solutions on Azure ML is essential.

Job Description :

- Define end-to-end architectures for data science and ML projects, ensuring scalability and performance.

- Develop advanced solutions using transformer-based architectures and deep neural networks, catering to text, vision, and multimodal datasets.

- Lead migrations of ML models (e.g., from SageMaker to Databricks) while ensuring performance, cost-efficiency, and adherence to best practices.

- Design and architect solutions leveraging Generative AI models and multimodal AI to solve real-world business challenges.

- Optimize model deployment workflows, ensuring reliability and scalability.

- Engage in client discussions to gather requirements and present data science capabilities.

- Develop technical proposals, PoCs, and demonstrations to drive sales engagements.

- Work closely with engineering teams to guide development workflows aligned with architectural strategies.

- Stay at the forefront of AI advancements, particularly in deep learning, transformers, and emerging AI technologies.

- Provide expertise in Databricks and Azure services, optimizing workflows and deployments.

- Evaluate emerging technologies and recommend tools to enhance the solution portfolio.

Required Skills Set :

- 4+ years of experience in data science, machine learning, and AI projects.

- Strong expertise in classical ML, time series, and modern AI techniques

- Strong expertise in transformer architectures and their applications in NLP and multimodal AI.

- Experience with deep learning frameworks and libraries.

- Proven ability to design and train neural networks, including CNNs, RNNs, LSTMs, and advanced transformer-based architectures.

- Experience in Generative AI (e.g., GPT, LLAMA) and multimodal AI models.

- Knowledge of Databricks for ML pipelines, model monitoring, and scalable data workflows.

- Strong experience with Azure AI/ML services, deployment pipelines, and optimization techniques.

- Demonstrated success in migrating and optimizing ML models.

- Knowledge of MLOps, including CI/CD for ML models and cloud-native deployments.

- Proficiency in pre-sales activities, including proposal creation and stakeholder management.

- Hands-on programming expertise in Python.

Preferred Skills Set :

- Familiarity with MLOps frameworks and CI/CD pipelines.

- Proficiency in managing large-scale data processing and hands-on experience with big data tools like Apache Spark or Delta Lake.

- Experience in data visualization tools like Power BI, Tableau

- Exposure to edge AI solutions and deployment strategies for low-latency environments.

- Certifications in Databricks, Azure AI, or Generative AI models.

- Experience with cloud platforms like AWS, GCP, or multi-cloud strategies.

- Strong communication and client interaction skills for pre-sales engagements.

If you have any questions or concerns, please do not hesitate to contact us. Also, please feel free to forward this email to your friends and colleagues if you feel they might be interested in this position.