Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 2000+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm.

Role : Data Scientist

Work Location : Bangalore

Experience : 6+ Years

Technical Skill : Computer Vision, Gen AI, AIML, MLOps, Azure Databricks, LLMs, CNNs, SQL, Python/PySpark, AWS

Job Description :

Key Responsibilities :

- Design, develop, and deploy machine learning and deep learning models for real-world business problems

- Build and optimize computer vision solutions, including image processing, feature extraction,

and semantic segmentation

- Develop supervised and unsupervised learning models for prediction, classification,

clustering, and anomaly detection

- Implement Generative AI solutions, including LLM integration, indexing, and retrieval-based

workflows

- Write efficient, scalable code using Python, PySpark, and SQL for large-scale data processing

- Build and consume RESTful APIs to integrate ML models into production systems

- Deploy and monitor models using DevOps and MLOps best practices

- Work with Azure cloud services, including Azure Databricks, for distributed data processing

and model training

- Collaborate with data engineers, product managers, and business stakeholders to translate

requirements into technical solutions

- Ensure model performance, scalability, security, and maintainability in production

environments

Required Skills & Qualifications :

- Strong programming experience in Python, PySpark, and SQL

- Hands-on experience with computer vision techniques, including deep learning architectures

(CNNs, Transformers), feature extraction, and semantic segmentation

- Solid understanding of traditional machine learning algorithms (supervised and unsupervised)

- Practical experience with Generative AI, including LLMs, embeddings, and indexing techniques

- Experience developing and deploying APIs for ML solutions

- Familiarity with DevOps practices, CI/CD pipelines, and model deployment workflows

- Experience working with Azure Cloud, especially Azure Databricks

- Strong problem-solving skills and ability to work with large, complex datasets

Why choose GSPANN :

We GSPANNians are at the heart of the technology that we pioneer. We do not service our customers, we co-create.

With the passion to explore solutions to the most challenging business problems, we support and mentor the technologist in everyone who is a part of our team. This translates into innovations that are path-breaking and inspirational for the marquee clients, we co-create a digital future with.

GSPANN is a work environment where you are constantly encouraged to sharpen your abilities and shape your growth path, We support you to become the best version of yourself by feeding your curiosity, providing a nurturing environment, and giving ample opportunities to take ownership, experiment, learn and succeed.

Were a close-knit family of more than 2000 people that supports one another and celebrates successes, big or small. We work together, socialize together, and actively serve the communities we live in.

We invite you to carry forward the baton of innovation in technology with us.

At GSPANN, we do not service :

We Co-create :

- Discover your inner Technologist : Explore and expand the boundaries of tech innovation without the fear of failure.

- Accelerate your learning : Shape your career while scripting the future of tech. Seize the ample learning opportunities to grow at a rapid pace

- Feel included : At GSPANN, everyone is welcome. Age, gender, culture, and nationality do not matter here, what matters is YOU

- Inspire and Be Inspired : When you work with the experts, you raise your game. At GSPANN, youre in the company of marquee clients and extremely talented colleagues

- Enjoy Life : We love to celebrate milestones and victories, big or small. Ever so often, we come together as one large GSPANN family

- Give Back : Together, we serve communities. We take steps, small and large so we can do good for the environment, weaving in sustainability and social change in our endeavors.

We invite you to carry forward the baton of innovation in technology with us.