Similar Jobs
Fintech • Analytics
The Data Analyst role involves sourcing financial and non-financial documents, ensuring data accuracy, and delivering quality outcomes while collaborating with the team. Responsibilities include industry knowledge building and troubleshooting issues.
Top Skills:
MS Office
Fintech • Analytics
As a Data Analyst, you will ensure data accuracy and completeness, communicate with banks, improve data collection methods, and maintain relationships with clients.
Top Skills:
Data AnalysisData Management
Fintech • Analytics
The Commercial Business Analyst will optimize workflows, document processes, manage projects, and utilize data visualization tools to enhance commercial operations.
Top Skills:
Crm SystemsPower BISQLTableau
Devsinc is seeking a Senior AI/Machine Learning Engineer with a strong background in Python, machine learning, and deep learning frameworks. Our ideal candidate will excel in cloud environments (such as AWS, Azure, GCP, and Databricks), possess the ability to design innovative AI solutions, exhibit expertise in Python, Spark, and relevant AI libraries, and demonstrate a high level of personal responsibility.
Responsibilities:
- Develop and maintain scalable, secure AI and machine learning applications utilizing Python, machine learning frameworks (e.g., TensorFlow, PyTorch), and cloud services
- Design and implement machine learning models and algorithms to support various AI-driven client applications, with a focus on user interface interactions and AI-driven features.
- Integrate third-party AI/ML APIs and services to existing web applications.
- Promote a data-driven and machine learning approach with a commitment to delivering valuable AI enhancements consistently.
- Deep understanding of LLM's(open source). We focus on a wide variety of NLP use cases including writing assistance, summarization, and concept extraction.
- Lead and participate in NLP and computer vision model development, providing constructive feedback to foster a culture of continuous improvement among team members.
- Active coder with proficiency in Python 3.x, strong Object-Oriented Programming (OOP) skills, and familiarity with modern Python features.
- Proven experience in Natural Language Processing (NLP) and Computer Vision (CV).
- In-depth knowledge of essential Python libraries such as numpy, pandas, scikit-learn, TensorFlow, PyTorch, Keras, Transformers, and others relevant to machine learning.
- Competence in working with cloud environments (AWS, Azure, GCP, Databricks) and Linux, including Lambda/Serverless, SQS, SNS, S3, and EC2.
- Experience deploying Transformer-based models into production.
- Proficiency in Django or Flask is a huge plus.
- Strong expertise in source control, code review, and repository management using Git.
- Familiarity with software engineering principles and design patterns, including Dependency Injection, SOLID, Service Containers, and Providers.
- Experience with containerization technologies like Docker.
- Proficiency in building highly distributed, eventually consistent AI systems.
- Familiarity with microservices architecture and message broker systems.
- Expertise in various machine learning testing methodologies, including unit testing, integration testing, performance testing, and load testing.
- Knowledge of data visualization, monitoring, and alerting concepts along with relevant tooling.
- Excellent knowledge of Relational Databases, SQL, and ORM technologies such as SQLAlchemy.
- Knowledge of LLMs, including fine-tuning and deployment integration with web applications.
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
