Product Manager

Title: Lead AI Engineer 

Location: Hyderabad (Hybrid) 

About Us: 

Oraczen is at the forefront of Generative AI, pioneering next-generation AI-driven applications that redefine industry standards. We are committed to innovation, collaboration, and technical excellence, enabling enterprises to seamlessly integrate artificial intelligence into their operations. Our team consists of top-tier AI experts, engineers, and product innovators dedicated to pushing the boundaries of AI/ML applications. At Oraczen, we foster a culture of continuous learning, inclusion, and excellence to create cutting-edge solutions that transform businesses. 

Role Overview: 

We are seeking an experienced Lead AI Engineer with 7+ years of expertise in Python and AI/ML to drive the development of scalable, high-performance AI applications. In this role, you will collaborate closely with AI researchers, product managers, and software architects to build advanced AI-driven solutions. As a key technical leader, you will spearhead the design and optimization of Generative AI models, mentor junior engineers, and contribute to solving complex industry challenges using state-of-the-art AI technologies. 

Key Responsibilities: 

• Design, develop, and deploy enterprise-grade AI applications using Python and leading AI/ML frameworks, applying proven software design patterns to build scalable, efficient, performant, and reliable systems. 
• Provide technical guidance and mentorship to engineering team members, fostering a collaborative and innovative environment. 
• Collaborate with cross-functional teams—including data scientists, AI researchers, and product managers—to shape AI system architectures and deliver high-quality solutions. 
• Develop and optimize machine learning and deep learning models for applications in Natural Language Processing (NLP), Computer Vision, and Generative AI. 
• Fine-tune large-scale AI models, ensuring efficiency, accuracy, and performance in production-grade applications. 
• Rapidly learn, prototype, and implement proof-of-concepts (POCs) on emerging technologies, contributing to Oraczen Labs’ innovation initiatives. 
• Lead code reviews, contribute to technical discussions, and drive continuous improvement in engineering practices. 
• Troubleshoot, debug, and optimize AI-driven applications to enhance scalability, reliability, and user experience. 
• Foster a “can-do” attitude, demonstrate strong team collaboration skills, and actively contribute to projects in an Agile development environment. 
• Contribute to the design and implementation of MLOps pipelines for efficient model deployment and lifecycle management. 
• Collaborate on research publications, open-source contributions, and intellectual property generation, supporting Oraczen’s leadership in AI innovation. 

Qualifications & Skills: 

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field. 
• 7+ years of experience in software development with strong expertise in Python and AI/ML. 
• Demonstrated expertise in applying software design patterns to architect scalable and performant systems. 
• Deep knowledge of Generative AI, Deep Learning, and Machine Learning frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs). 
• Proven experience in at least one specialization area: Natural Language Processing (NLP), Computer Vision, or Large Language Models (LLMs). 
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). 
• Familiarity with scalable AI architectures, distributed computing, and data engineering best practices. 
• Experience with MLOps tools and practices for deploying AI models in production environments. 
• Proven ability to quickly learn and implement POCs using emerging AI technologies for innovative solutions. 
• Strong team player with excellent collaboration, communication, and interpersonal skills, and a proactive, can-do mindset. 
• Experience working in Agile development methodologies, driving iterative and adaptive software delivery. 
• Excellent problem-solving skills with the ability to thrive in a fast-paced, agile development environment. 
• Strong leadership, mentorship, and technical communication skills to collaborate effectively with engineering teams. 

Belonging at Oraczen:  

We’re building more than just innovative technology—we’re building a culture where people from all backgrounds feel welcomed, valued, and empowered to thrive. Our strength lies in the diversity of our perspectives and experiences, and we are committed to cultivating an inclusive environment where everyone can do their best work.  

We evaluate applicants based on talent and potential, not background or identity. We welcome candidates of all races, ethnicities, genders, orientations, abilities, and experiences.  

Role description:

You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients. Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills. The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG, guardrails, prompt engineering for optimisation, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on premise. As this space evolves very rapidly, candidates must also demonstrate knowledge on agentic AI frameworks. Candidates having strong background on ML with engineering skills is highly preferred for LLMOps role.

Required skills:

• 4-8 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases
• Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional)
• Should have worked on proprietary and open source large language models
• Experience on LLM fine tuning, creating distilled model from hosted LLMs
• Building data pipelines for model training
• Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation and observability
• Experience in GenAI application deployment on cloud and on-premise at scale for production
• Experience in creating CI/CD pipelines
• Working knowledge on Kubernetes
• Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services
• Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen
• Experience in light weight UI development using streamlit or chainlit (optional)
• Desired experience on open-source tools for ML development, deployment, observability and integration
• Background on DevOps and MLOps will be a plus
• Experience working on collaborative code versioning tools like GitHub/GitLab
• Team player with good communication and presentation skills

KEY RESPONSIBILITIES: Execution of sales/marketing plan, like

To reply all inquiries, ONLINE marketing/sales tracking for all websites / registered online portals

To Conduct Feasibility Study of inquiries received.

To call/meet existing and potential Clients Regularly

To Collect the data of requirements from customers / potential buyers

Update all Websites / online registered Portals (Indiamart /Tradeindia/tatanexarc /GEM /L&T SUFIN etc.) with latest product details.

Ensure Clear Communication with Customer and Production Team and Management

To Track Customer Complaints

Responsible to analyze feedbacks from market & give correct information to HOD- business development (strategy department)

To Measure customer satisfaction survey and track actions on the results.

Job Title: Data Engineer

Cargill’s size and scale allows us to make a positive impact in the world. Our purpose is to nourish the world in a safe, responsible and sustainable way. We are a family company providing food, ingredients, agricultural solutions and industrial products that are vital for living. We connect farmers with markets so they can prosper. We connect customers with ingredients so they can make meals people love. And we connect families with daily essentials — from eggs to edible oils, salt to skincare, feed to alternative fuel. Our 160,000 colleagues, operating in 70 countries, make essential products that touch billions of lives each day. Join us and reach your higher purpose at Cargill.

Job Purpose and Impact

As a Data Engineer at Cargill you work across the full stack to design, develop and operate high performance and data centric solutions using our comprehensive and modern data capabilities and platforms. You will play a critical role in enabling analytical insights and process efficiencies for Cargill’s diverse and complex business environments. You will work in a small team that shares your passion for building innovative, resilient, and high-quality solutions while sharing, learning and growing together.

Key Accountabilities

Collaborate with business stakeholders, product owners and across your team on product or solution designs.

· Develop robust, scalable and sustainable data products or solutions utilizing cloud-based technologies.

· Provide moderately complex technical support through all phases of product or solution life cycle.

· Perform data analysis, handle data modeling, and configure and develop data pipelines to move and optimize data assets.

· Build moderately complex prototypes to test new concepts and provide ideas on reusable frameworks, components and data products or solutions and help promote adoption of new technologies.

· Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff.

· Other duties as assigned

Qualifications

MINIMUM QUALIFICATIONS

· Bachelor’s degree in a related field or equivalent experience

· Minimum of two years of related work experience

· Other minimum qualifications may apply

PREFERRED QUALIFCATIONS

· Experience developing modern data architectures, including data warehouses, data lakes, data meshes, hubs and associated capabilities including ingestion, governance, modeling, observability and more.

· Experience with data collection and ingestion capabilities, including AWS Glue, Kafka Connect and others.

· Experience with data storage and management of large, heterogenous datasets, including formats, structures, and cataloging with such tools as Iceberg, Parquet, Avro, ORC, S3, HFDS, HIVE, Kudu or others.

· Experience with transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks including dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others

· Experience working in Big Data environments including tools such as Hadoop and Spark

· Experience working in Cloud Platforms including AWS, GCP or Azure

· Experience of streaming and stream integration or middleware platforms, tools, and architectures such as Kafka, Flink, JMS, or Kinesis.

· Strong programming knowledge of SQL, Python, R, Java, Scala or equivalent

· Proficiency in engineering tooling including docker, git, and container orchestration services

· Strong experience of working in devops models with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies.

· Experience and knowledge of data governance considerations including quality, privacy, security associated implications for data product development and consumption.

Equal Opportunity Employer, including Disability/Vet.

1. 3 + years of mobile development - Building and Designing advanced Android applications for Android platform

2. Translate designs and wireframes into high quality code

3. Should have knowledge in MVC/MVVM architecture.

4. Strong knowledge in android SDK, different versions of android and how to deal with different screen sizes.

5. Familiarity with REST ful API's to connect backend servers

6. Strong fundamental knowledge in Core Java and API and DB integrations using Android

Job Requirement

1. 3 + years of mobile development - Building and Designing advanced Android applications for Android platform

2. Translate designs and wireframes into high quality code

3. Should have knowledge in MVC/MVVM architecture.

4. Strong knowledge in android SDK, different versions of android and how to deal with different screen sizes.

5. Familiarity with REST ful API's to connect backend servers

6. Strong fundamental knowledge in Core Java and API and DB integrations using Android

PHP Developer SKILLS & Responsibilities:

Extensive experience in PHP and Laravel.
Database Management tools such as MySQL.
The candidate has worked on the web application or REST API for apps, Laravel, Node Js.Has experience or can work in a team as well as a single person.
Experience building or maintaining a CMS.

About Paytail: 

We are a young Fintech Company providing BNPL Solutions and enabling instant digital finance and easy EMI's across millions of merchants across the country. We are on the mission of simplifying affordable buying for the consumer across segments. Paytail is backed by Cholamandlam Investments, and few large Angel Investors.

Why Paytail:

Complete Ownership: Take responsibility for whatever work you do with little or no interference, get awarded on the successes for whatever work you do with little or no interference, and be accountable for the slip-ups.

Feedback driven Culture: - Feedback is the breakfast for the champions- and thus we believe feedback helps people & organization improve.

Work with top talent: Get doors open for new learning, our team is being led by the best minds in the industry.

Open Work Culture: Everyone from the CEO is easily accessible. Have any new ideas you think can revolutionize the workplace? Or do you have some concerns about your work? Feel free to talk to the leadership.

Skills, Responsibilities & Requirements:

- Identify qualified prospects and navigate company structures to identify decision- makers. 

- Use a combination of outreach mechanisms to nurture leads (Call, Email, Marketing automation tools like Outreach, LinkedIn InMail, Lusha etc.) 

- Tie up leads that will turn into the business through persistence. 

- Learn, leverage, and help evolve our demand generation process. 

- Generate appointments/meetings by means of proactive outbound prospecting 

- Work directly with sales and marketing to discover opportunities from leads. 

- Previous experience working with SAAS/Software Product/Fintech Companies is plus.

Location: Gurgaon/Gurugram