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Position Overview:
As a Generative AI Engineer, you will be responsible for designing, implementing, and optimizing generative AI models and algorithms.You will primarily work in building new b2c applications and integrating AI features into existing apps. You will work closely with cross-functional teams to integrate AI capabilities into our products. The ideal candidate will have a strong entrepreneurial mindset, who owns the entire AI implementation and is well versed in latest developments in GenAI and LLM space.
Key Responsibilities:
- Data Preprocessing & Augmentation: Work with large-scale datasets, preprocess data, and implement data augmentation techniques to improve the quality and diversity of training data.
- Algorithm Optimization: Optimize model performance, including reducing training time, improving accuracy, and enhancing the overall efficiency of generative AI systems and LLMs.
- Research & Innovation: Stay up-to-date with the latest research and trends in generative AI and propose innovative solutions for new challenges and applications.
- Collaboration: Work closely with product, engineering, and data science teams to understand use cases, define requirements, and integrate generative AI models into applications and products.
- Model Evaluation & Fine-tuning: Evaluate models using appropriate metrics and perform model fine-tuning to ensure high-quality outputs.
- AI Infrastructure & Deployment: Work with cloud-based environments and AI frameworks to deploy models and optimize their scalability and reliability.
- Documentation & Reporting: Document models, code, and processes clearly to ensure that solutions are reproducible and maintainable. Communicate findings and results to both technical and non-technical stakeholders.
- Setup and deploy new AI based processes in organization with the goal of improving efficiency in every department.
Required Qualifications:
- 3+ years of experience in machine learning or AI development, with a focus on generative models.
- Strong proficiency in programming languages such as Python, and experience with AI/ML libraries like TensorFlow, PyTorch.
- Working knowledge of javascript and other web concepts is a plus.
- Analyse and preprocess diverse datasets to extract meaningful information for AI applications
- Streamline the development and deployment of Generative AI models using cloud infrastructure and tools such as cognitive search, VectorDB, and frameworks like LangChain, LlamaIndex, HuggingFace, openAI APIs etc.
- Up to date with latest advancements in Gen AI and LLMs along with the knowledge in best models such GPT-x, Llama, claude, gemini and leaderboards for the same.
- Well versed with LLM concepts such as vector embeddings, RAGs, prompt engineering, transformers, fine tuning models, Semantic search, training large models etc.
- Solid understanding of deep learning fundamentals, including backpropagation, gradient descent, and neural network architectures.
- Experience in developing end to end AI applications from training to deployment. Previous experience in working with AI applications is a big plus.
- Strong research interest delving deep into depths of AI, LLM tech with passion.
- Experience working with AI coding tools such as bolt.new, claude, Github Copilot, Cursor.ai etc.
- Experience with large-scale data processing and working with cloud platforms (AWS, Google Cloud, Azure).
- Strong analytical and problem-solving skills with the ability to experiment and iterate quickly.
- Familiarity with model evaluation techniques and performance metrics specific to generative models.
- Good understanding of NLP and/or computer vision, depending on the focus area of the generative models.
- Strong communication skills and the ability to collaborate in a cross-functional team environment.
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We are seeking a skilled and experienced individual to join our team as a Post Silicon Validation Engineer. In this role, you will be responsible for validating and analyzing the performance of SOC level environments. Your primary duties will include functional and compliance testing, characterization across power, performance, and thermal parameters, as well as data collection and analysis for PVT analysis, SNR, harmonic distortions, dynamic range, and data rates. Additionally, you will be involved in debugging silicon failures to optimize the overall system performance.
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Strong understanding of Node.js and express
Requirements:
Benefits:
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About the company:
About the role:
We are currently building an exciting multi-category, digital first, direct to consumer, commerce business for
couple of new brands in Food & Fashion category. The Engineering Team forms the backbone of our
ecommerce business. We build and iterate over our core platform that handles orders, payments, delivery
promises, order tracking & logistics integrations.
We are looking for an Engineering Manager to lead its development across web, mobile and in-store devices.
You will be responsible to work closely with business leaders to understand the developer needs and device
solutions through developer tools and services. The role incumbent will be managing a team of in-house &
outsourced developers and will be responsible for defining the technical roadmap, project delivery and
maintenance of systems developed in-house. The incumbent will also be driving technology innovation with
integrations and external partners to fully leverage the latest solutions and technologies for servicing the
organization needs. This role will report to the Director-Engineering.
Location: Mumbai based preferably. We can also consider Bangalore based candidates.
Responsibilities:
Your core responsibilities will include Technical Guidance, Execution, Delivery & Team Management. You will
be working in a fast-paced and agile work environment delivering quality solutions that have immediate
business impact.
Ownership of engineering features and components from concept, design, development &
deployment
Participate in the solution architecting, enterprise interface design and integration.
Work with users to understand requirements, and design scalable and efficient technology solutions.
Manage multiple projects across a wide breadth of technologies, coordinate dependencies, and
interactions with other internal teams and external partners.
Communicate cross-functionally, collaborate with Business teams, Product managers, engineers and
QA to plan, own and deliver solutions on time.
Ensure teams follow best practices regarding coding standards, code reviews, and testing. Responsible
for code quality, review & release strategy.
Define and drive development team priorities and ensure delivery through in-house and vendor
development teams.
Keep tab of latest technology trends and leverage it for improvements/changes in current setup to
increase efficiency, reduce maintenance cost and time to market.
Publish regular reports of activities and highlight potential risks.
Attract, hire, retain, motivate and mentor engineering team resources.
Required Qualification, Experience & skills:
Bachelor's degree in Computer Science, Computer Engineering or related technical discipline
6-8 years of overall developer experience with a focus on programming in PHP, and a working
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Prior experience in managing a team of min 4-6 engineers
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Experience of implementing Agile, Scrum & Iterative processes
Experience taking a leading role in building complex software systems that have been successfully
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Knowledge of professional software engineering practices & best practices for the full software
development life cycle, including coding standards, code reviews, source control management, build
processes, testing, and operations
Experience in communicating with users, other technical teams, and senior management to collect
requirements, describe software product features, technical designs, and product strategy
Experience mentoring junior software engineers to improve their skills, and make them more
effective, product software engineers
Hands-on expertise in many disparate technologies, typically ranging from Web development, Mobile
app development, AWS, machine learning, large scale data platforms, service oriented architecture,
distributed systems design, android platform, front-end user interfaces, databases etc.
Regards
Team Merito
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- Strong knowledge of .NET web frameworkwith .Net 3.5/4.0 Version.
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- Familiarity with Windows Presentation Framework.
- Knack for writing clean, readable, and easily maintainable code.
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