Generative AI Engineer

Location: Bengaluru, Karnataka

About the Company:

Sustainability Economics is a global organisation targeting the markets of US, Japan, EU, UK, Canada and Singapore. As a pioneer, our focus is on the Lifecycle Management of E2E Net-Zero transitions while leveraging our automation-first approach. We offer our collaborative services at an international level and counsel our clients on transition solutions and decarbonisation strategies. With our team of professionals who have extensive domain and technical knowledge, we are committed to making long-term efforts to fulfil this vision through our technical innovation, client services, expertise, and capability expansion.

Role Summary:

We are seeking a highly skilled Generative AI and Machine Learning Engineer to join our innovative team. This role blends the frontier of generative AI with robust machine learning and deep learning engineering. You will be responsible for designing, developing, optimizing, and deploying cutting-edge AI systems that power intelligent, scalable, and agent-driven workflows.

Key Tasks and Accountability:

• Strong Foundations on the conceptual & implementation aspects of machine & deep learning models.
• Experience on using the LLMs, Hugging Face, LangChain, API Design, RAG, Vector Databases, OpenAI APIs, Gemini APIs.
• Experience in using optimization algorithms for ML and FastAPI
• Keep abreast of the latest advancements in NLP and ML and other deep Learning Models to ensure our solutions remain at the forefront of technology.
• Experience with time series models (ARIMA, SARIMA, LSTM, Transformer models, etc.)
• Proficiency in machine learning techniques such as Random Forest, XGBoost
• Programming Language Experience in Python.
• Work closely with domain experts to understand the latest research findings and incorporate them into models.
• Collaborate with software developers to create user-friendly interfaces and tools that can be used to visualize and analyze as per the business requirements.

Educational & Experience:

• Bachelor's or master's degree in a relevant field, such as engineering, statistics, or Mathematics.
• 2-3 years of related experience in ML and LLM.
• Strong background in AI/ML, with experience developing and implementing models in Python or similar languages
• Experience working with large text based datasets and data processing tools
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences
• Strong problem-solving skills, with the ability to work independently and as part of a team
• Passion for environmental sustainability and the ability to work in a fast-paced, dynamic environment

Skills:

• Proficient in Large Language Models (LLMs), CrewAI, and other advanced AI models.
• Strong expertise in Python, with a solid understanding of object-oriented programming (OOP) principles.
• Experience designing scalable system architectures and developing RESTful APIs.
• Familiar with web frameworks such as Flask and Django.
• Proven ability to build and scale AI/ML products from the ground up.
• Background in data analysis, machine learning, deep learning, and natural language processing (NLP).

Personal Attributes:

• A team player with good interpersonal skills and problem-solving abilities.
• A self-motivator and a collaborative team player.
• Shows strong leadership by guiding and motivating the team
• Excellent time management skills and the ability to assume leadership roles when necessary.
• Agile, action oriented and a quick learner.
• Out of box thinker.

Benefits at Sustainability Economics:

• A flat hierarchy.
• ESOPs.
• Group Medical Coverage.
• 30 days of Leave.
• A gender-neutral parental, marriage, and compassionate leave policy.

And above all, if you have a passion to work, join us in our pursuit for sustainability