We are seeking a skilled Senior Software Engineer to bring Generative AI and Machine Learning skills to our team. In this role, you can expect to participate in a wide variety of projects and contribute to the development and deployment of cutting-edge solutions. You will join a new team with a broad scope and play a vital role in shaping the future of our AI/ML initiatives.
Responsibilities:
- Contribute to AI/ML projects and apply your expertise to design, develop, integrate, deploy, and monitor text, image, audio and video models to address complex challenges.
- Take ownership of features and projects, exercising your independence in problem-solving and decision-making to drive results.
- Utilize your proficiency in Python, Postgres, Docker and orchestration tools to build and deploy applications to Azure and AWS.
- Productize Langchain and other frameworks in concert with the right Large Language Model/Large Multimodal Model for the job to create Generative AI solutions for internal and external consumption.
- Embrace an iterative approach in a fast-moving environment, placing strong emphasis on continuous development and ongoing improvement.
- Effectively manage and prioritize tasks to ensure project milestones are met.
Skills and Experience you will bring:
- Strong coding skills in modern Python development, with an emphasis on bringing applications to market. Minimum 6+ years of Python.
- 6+ years experience with Deep Learning models in production or a comparable industry career with machine learning, data mining, or statistical modelling. Includes ETL, pre- and post-training.
- Extensive experience working with Langchain, Semantic Kernel or related frameworks and LLM/LMMs from various vendors. Deep knowledge and understanding of theoretical foundation of modern Machine Learning.
- 3+ years experience with Deep Learning models for NLP, Language models or Text analytics in production
- Strong knowledge of data analysis and visualization tools such as pandas, plotly, matplotlib, seaborn or streamlit
- Experience working with audio and video is a strong plus.
- Experience with AWS or Azure cloud services for application deployment and management.
- Database knowledge for data manipulation and extraction, including Postgres.
- Bachelor's or Master's degree in Computer Science / relevant field.
- Strong problem-solving and critical-thinking skills.
- Ability to work independently and as part of a collaborative team.
- Effective communication and presentation skills.
- Strong prioritization and time management abilities.
Additional skills and experience that will be useful:
- Bachelor's or Master's degree in a relevant field (Data Science, etc.).
- Proven experience in machine learning and artificial intelligence, with a strong portfolio of projects and achievements.
Office Timing: 1pm to 9pm IST
Office Location: Manyata Tech Park, Bangalore, India
Work Model: Remote / Hybrid
About Evertz:
Evertz India is the subsidy of Evertz Microsystems (TSX:ET) a leading global manufacturer of broadcast equipment and solutions that deliver content to television sets, on-demand services, WebTV, IPTV, and mobile devices (like phones and tablets). Evertz has expertise in delivering complete end-to-end broadcast solutions for all aspects of broadcast production including content creation, content distribution and content delivery. Considered as an innovator by their customers, Evertz delivers cutting edge solutions that are unmatched in the industry in both hardware and software. Evertz delivers products and solutions that can be found in major broadcast facilities on every continent. Evertz’ customer base also includes telcos, satellite, cable TV, and IPTV providers. With over 1800+ employees, that include hardware and software engineers, Evertz is one of the leaders in the broadcast industry. Evertz has a global presence with offices located in: Canada, United States, United Kingdom, Germany, United Arab Emirates, India, Hong Kong, China, Singapore, and Australia. Evertz was named one of Canada’s 50 Best Managed Companies, which recognizes excellence in Canadian-owned and Canadian-managed companies. Canada’s 50 Best Managed Companies identifies Canadian corporate success through companies focused on their core vision, creating stakeholder value and excelling in the global economy.
