CirrusLabs - Artificial Intelligence/Machine Learning Engineer - Tensorflow/PyTorch (6-10 yrs)

We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented AI ML Engineer to join our team. If you're excited to be part of a winning team, CirrusLabs ( http://www.cirruslabs.io ) is a great place to grow your career.

Experience : 6 - 10 years

Salary : 10 to 30LPA

Location : Hyderabad/Bengaluru

- Need strong AWS AI/ML engineers with expertise in SageMaker, Lambda, ECS, API Gateway, LangChain, and Vector Databases

- Looking at 6 to 10 years hands-on guy who can transition to AWS bedrock

- Need hands on experience on AWS Bedrock with LLM as mandatory, no levy in the skills.

Responsibilities :

- Develop machine learning models to analyze and predict IT system behavior.

- Build natural language processing (NLP) solutions for unstructured data insights.

- Integrate LLMs (e.g., OpenAI GPT, Google BERT, Cohere) for conversational AI and decision-making features.

- Optimize machine learning pipelines for performance and scalability.

Qualifications :

- Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn).

- Experience with NLP techniques and libraries (spaCy, Hugging Face Transformers).

- Knowledge of cloud-based AI platforms (AWS SageMaker, Google AI).

- Strong understanding of statistics and algorithm design.