We are seeking an experienced Data Scientist with a specialized focus on ML Ops and GenAI to join our innovative and growing team. In this role, you will be responsible for developing and implementing cutting-edge data science solutions, utilizing the latest technologies and techniques to optimize our clients' business processes and intelligence. Working closely with our clients, you will have the opportunity to build bespoke ML Ops and GenAI models tailored to their specific needs and objectives.
Key Responsibilities:
- Utilize Machine Learning and Artificial Intelligence techniques to analyze and extract insights from complex and large-scale datasets.
- Develop ML Ops pipelines for model deployment and optimization, utilizing tools such as Docker and Kubernetes.
- Collaborate with cross-functional teams to design and build GenAI solutions for a variety of use cases.
- Take ownership of the end-to-end data science process, from data collection and cleaning to model development and deployment.
- Optimize and improve existing ML Ops processes and models, ensuring continuous innovation and efficiency.
- Stay up-to-date with the latest trends and advancements in ML Ops and GenAI, and apply them to enhance our services and offerings.
- Communicate findings and results to clients and stakeholders in a clear and concise manner.
Qualifications:
- Bachelor's/Master's degree in Computer Science, Data Science, Mathematics, or a related field.
- Minimum of 3 years of experience working as a Data Scientist, with a focus on ML Ops and/or GenAI.
- Proven track record of developing and deploying ML models in production environments.
- Experience with ML Ops tools and platforms such as Docker, Kubernetes, and MLflow.
- Strong programming skills in Python and familiarity with ML libraries such as TensorFlow and PyTorch.
- Knowledge of statistical modeling and data visualization techniques.
- Excellent communication and collaboration skills, with the ability to work effectively in a team and client-facing environment.
At N Consulting Ltd, we value diversity, creativity, and innovation. We offer a competitive salary, continuous learning and development opportunities, and a supportive work culture. Join us in shaping the future of data science and make a meaningful impact on our clients and society. Apply today to become a part of our talented and dynamic team!