Senior Data Scientist
Yash Technologies
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Job Description
We are looking forward to hire AI/ML Professionals in the following areas :
Senior Data Scientist
We are seeking an experienced Senior Data Scientist to design, develop, and deploy advanced machine learning and AI solutions. In this role, you will work closely with cross-functional teams and business stakeholders to translate complex data into actionable insights, while ensuring best practices in data science, MLOps, and scalable AI systems.
Key Responsibilities
- Design and implement advanced machine learning, deep learning, and AI models across domains such as NLP, computer vision, recommendation systems, and generative AI.
- Develop data strategies including preprocessing, feature engineering, and scalable data pipelines.
- Apply MLOps best practices for model development, deployment, and monitoring.
- Collaborate with stakeholders to understand business problems and define data-driven solutions.
- Stay current with the latest advancements in AI/ML and evaluate their potential applications.
- Ensure models are explainable, ethical, and compliant with regulatory requirements.
Primary (Must-Have) Skills
- Strong foundation in Mathematics, Statistics, and Machine Learning theory.
- Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face).
- Proven expertise in NLP, Computer Vision, or Generative AI (Transformers, RAG, LLMs, CNNs, Vision Transformers).
- Hands-on experience with Big Data technologies (Spark, Hadoop, Kafka, Hive).
- Strong knowledge of SQL and building data pipelines.
- Experience with cloud platforms (Azure ML, AWS SageMaker, or GCP AI Platform).
- Hands-on experience with web/backend integration (REST APIs, Django, FastAPI, Spring Boot).
- Understanding of MLOps (CI/CD, Docker, Kubernetes, model monitoring).
Secondary (Good-to-Have) Skills
- Programming experience in Java/Scala/R.
- Familiarity with web/backend integration (REST APIs, Django, FastAPI, Spring Boot).
- Knowledge of data governance, ethics, and compliance in AI.
- Strong business acumen and ability to translate insights into strategies.
- Excellent communication and collaboration skills.
Qualifications
- Bachelor's/Master's/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field.
- 4–7 years of experience in Data Science/AI with proven delivery of projects at scale in production environments.
About The Company
Yash Technologies
YASH Technologies is a leading systems integrator and outsourcing partner that focuses on empowering its customers to drive enterprise-wide business transformation at scale. With a presence across six continents, a talented team of consulting professionals, and a comprehensive NextGen service portfolio, YASH is large enough to transform and small enough to care, earning it the trust of 75+ Fortune 500 corporations globally. As a high-performing enterprise, YASH looks forward to engaging with talent that has the technical expertise, solution orientation, unrelenting passion, and willingness to do MORE in everything. Its foundational principles, the 5 pillars of Customer Centricity, Employee Focus, Innovation, Agility and Trust, is ingrained in a YASHians DNA and imbibed in everything they do, keeping them inspired and motivated to engage with customers and serve society. This highly engaged work culture has won YASH a title of “Great Place To Work”, 7 years in a row." YASH not only invests in building capabilities within specific technologies of our partners, but also prepares our professionals through training and certification to ensure the highest quality of resources are available for client engagements. Over the years, YASH has developed alliances with SAP, IBM, Oracle, Microsoft, CISCO, CITRIX, Tableau, Actuate, Salesforce, CA and grown them to reach Gold, Platinum or Premier partnership levels to establish centers of excellence (COEs) by using respective technologies. Being a partner of choice and reaching highest levels of partnership with these companies, allows YASH access to the latest software, training and proficiency which eventually translates as tangible business value to our customers."
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