Technical Implementation Specialist

We are hiring for GEN AI + Python + LLM, Langchain +Azure AI Stack role

If you're interested in this position, revert to this mail along with your updated CV.

Experience : 5 to 12 years

Location : Hyderabad, Bangalore

Required Skill set :  Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. OpenAI technologies and applications,including Azure OpenAI GPT models. FastAPI,RESTful APIsAzure,Google Cloud Platform.TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas

Roles & Responsibilities :

We are seeking a Senior AI Developer with expertise in Python, machine learning models, OpenAI, Fast API, Azure Stack, REST APIs, Autogen, and MCP. The ideal candidate will have strong analytical and communication skills, be proactive, and possess the ability to lead small teams independently.

1.  Proficient in Python programming and machine learning frameworks
2.  Strong experience in developing and deploying machine learning models
3.  Proficiency in deep learning for Natural Language Processing (NLP) using BERT, GPT, and other Transformer-based models
4.  Basic understanding of computer vision techniques for image recognition or object detection
5.  Hands-on experience with OpenAI technologies and applications, including Azure OpenAI GPT models
6.  Experience integrating backend systems with APIs and libraries such as Hugging Face Transformers
7. · Proficient in FastAPI for building and deploying RESTful APIs
8. Experience with CI/CD pipelines for deploying FastAPI applications
9.  Experience with cloud platforms such as Azure (including Azure Stack) or Google Cloud Platform (GCP) for deploying AI solutions
10. Experience in data engineering, including data curation, cleaning, and preprocessing large-scale datasets for generative AI applications
11. Proficiency in using vector databases and NoSQL databases such as Elasticsearch or Azure Cosmos DB
12.  Experience with Autogen and MCP for automation and model management
13.  Knowledge of Docker and Kubernetes for containerization and orchestration
14. Proficiency with AI/ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas
15. Understanding of AI evaluation metrics, data privacy, security, and ethical considerations in AI applications
16.  Strong analytical and problem-solving skills
17.  Strong communication skills with the ability to collaborate effectively in a team environment
18. Proactive attitude with the ability to independently lead small teams

Machine Learning Engineer / AI Engineer

2 to 10 Years Experience

What if your models didn't just forecast demand — they autonomously acted on it?

We're building the next generation of supply chain intelligence, where AI agents don't just predict — they reason, decide, and adapt. If you're the kind of engineer who gets excited about turning a forecast into an autonomous decision engine, this role is for you.

Be Part of Something Bigger

At our core, we own the challenge and drive the future — taking full responsibility for delivering smart, sustainable solutions that optimize supply chains. We believe knowledge fuels confidence, fostering continuous learning, innovation, and expertise to push boundaries with clarity and purpose.

With a commitment to opportunities for all and growth for everyone, we create pathways for success, empowering individuals to thrive. Our strength lies in being stronger, smarter, together — harnessing diverse perspectives and collaboration to drive bold ideas. Above all, we focus on impact that matters and results that last, building intelligent, sustainable solutions that create long-term value for businesses and the world.

What You'll Build

You'll architect intelligent systems that sense demand shifts in real time and recommend actions before a human even asks. Specifically, you will work across:

•      Agentic AI pipelines that go beyond prediction — systems that reason, decide, and adapt autonomously

•      Advanced demand forecasting and sensing models using attribute-based and cohort-based approaches

•      Signal integration frameworks that fuse external data and real-time market inputs

•      Feature engineering at scale — lag structures, rolling aggregations, and derived features

•      Model performance frameworks tied directly to measurable business outcomes

•      Translating complex model insights into clear, actionable language for clients and leadership

Who You Are

You bring a strong foundation in machine learning and a genuine curiosity about where AI is heading. The ideal candidate has:

•      2–10 years of hands-on experience in ML, AI, or Data Science with proven model-building track record

•      Python fluency — pandas, scikit-learn, XGBoost, LightGBM are second nature to you

•      Deep understanding of time series forecasting and experience with large-scale transactional datasets

•      Ability to connect model outputs to real business impact and articulate the 'so what' clearly

•      Genuine curiosity about the power of AI and openness to emerging tools and paradigms — including agentic and generative AI

Bonus Points

•      Experience in retail, supply chain, or inventory planning domains

•      Exposure to hierarchical forecasting, new product forecasting, or ensemble methods

•      Hands-on work with LLM-based agents or orchestration frameworks

Why This Role Is Different

Your models won't sit in a notebook — they'll drive decisions for real companies managing real inventory and real revenue.

•      Work at the cutting edge of agentic AI in supply chain, a space being reinvented right now

•      See your models directly influence supply chain decisions for enterprise brands, retailers, and grocers

•      Collaborate with a team of domain experts, data scientists, and product leaders who obsess over outcomes

•      Invest your curiosity in shaping how AI transforms an entire industry from the ground up

Key Performance Indicators

•      Model accuracy, reliability, and real-world forecast performance

•      Speed and quality of model deployment to production pipelines

•      Business impact of AI-driven recommendations — measured in inventory efficiency and revenue outcomes

•      Cross-functional collaboration effectiveness with product, engineering, and client teams

We are seeking a detail-oriented and innovative Chemical Engineer. The ideal candidate will be responsible for designing, developing, and optimizing processes for manufacturing, ensuring safety, quality, sustainability, and efficiency. This role requires strong problem-solving skills and the ability to work in cross-functional teams to improve production systems.

Key Responsibilities:

• Design, develop, and implement chemical processes for production.
• Monitor and optimize plant operations to improve yield, reduce costs, and minimize waste.
• Ensure compliance with health, safety, and environmental regulations.
• Conduct research and feasibility studies to develop new products and processes.
• Collaborate with R&D, production, and quality teams to improve efficiency.
• Troubleshoot technical issues in manufacturing and propose solutions.
• Prepare and maintain technical documentation, reports, and SOPs.
• Implement best practices for sustainability and energy efficiency.

Qualifications & Skills:

• Bachelor’s or Master’s degree in Chemical Engineering (or related field).
• Strong knowledge of chemical processes, thermodynamics, fluid mechanics, and reaction engineering.
• Experience with process simulation tools (e.g., Aspen Plus, HYSYS, MATLAB) is an advantage.
• Good analytical, mathematical, and problem-solving skills.
• Strong communication and teamwork abilities.
• Knowledge of safety standards and environmental regulations.

Job description

Brief Description

One of our client is looking for a Lead Engineer in Bhopal with 5–10 years of experience. Candidates must have strong expertise in Python. Additional experience in AI/ML, MERN Stack, or Full Stack Development is a plus.

Job Description

We are seeking a highly skilled and experienced Lead Engineer – Python AI to join our dynamic team. The ideal candidate will have a strong background in AI technologies, MERN stack, and Python full stack development, with a passion for building scalable and intelligent systems. This role involves leading development efforts, mentoring junior engineers, and collaborating with cross-functional teams to deliver cutting-edge AI-driven solutions.

Key Responsibilities:

• Lead the design, development, and deployment of AI-powered applications using Python and MERN stack.
• Architect scalable and maintainable full-stack solutions integrating AI models and data pipelines.
• Collaborate with data scientists and product teams to integrate machine learning models into production systems.
• Ensure code quality, performance, and security across all layers of the application.
• Mentor and guide junior developers, fostering a culture of technical excellence.
• Stay updated with emerging technologies in AI, data engineering, and full-stack development.
• Participate in code reviews, sprint planning, and technical discussions.

Required Skills:

• 5+ years of experience in software development with a strong focus on Python full stack and MERN stack.
• Hands-on experience with AI technologies, machine learning frameworks (e.g., TensorFlow, PyTorch), and data processing tools.
• Proficiency in MongoDB, Express.js, React.js, Node.js.
• Strong understanding of RESTful APIs, microservices architecture, and cloud platforms (AWS, Azure, GCP).
• Experience with CI/CD pipelines, containerization (Docker), and version control (Git).
• Excellent problem-solving skills and ability to work in a fast-paced environment.

Education Qualification:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Certifications in AI/ML or Full Stack Development are a plus.

Job Brief

The job requires .Net Sr Backend Developer. This Developer is expected to have strong technical skills, work closely with the other team members in development and ability to work stand alone. Ability to work on a small team with minimal supervision, Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality

Skills Requirement

• Bachelor’s degree in Computer Science or related field plus 3-5 Years of .Net relevant experience
• Familiarity with the .NET framework, SQL Server, and design/architectural patterns (e.g. Model-View-Controller (MVC))
• Knowledge of .NET languages (e.g. C#, Visual Basic .NET)
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Good knowledge of databases like MySql, SQL. Ability to write optimized SQL queries and good knowledge of Stored Procedures.
• Sound knowledge of testing frameworks like NUnit, XUnit or MS test.
• Strong attention to detail
• Basic understanding of MultiThreading concepts
• Sound knowledge of Linq.
• Proven knowledge of WCF or Restful Web service creation
• Basic knowledge of frontend scripting languages like JavaScript, jQuery
• Sound knowledge of Design principle, OOPs concepts & Solid Principle
• Sound knowledge of Entity framework
• Experience with GitHub, Tortoise SVN Version Control
• Strong attention to detail
• Knack for writing clean, readable, and easily maintainable code
• Sound analytical, problem-solving, and communication skills.
•  

Responsibilities

• Translate application storyboards and use cases into functional applications
• Design, build and maintain efficient, reusable, and reliable code
• Ensure the best possible performance, quality, and responsiveness of applications
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues
• Help maintain code quality, organization, and automatization
• Utilizing Microsoft's .NET infrastructure to create software solutions that meet clients' requirements.
• Collaborating with coworkers to facilitate the creation of large, complex developments, as required.
• Reformulating existing code to ensure adherence to stipulated guidelines.
• Checking your code to detect and remedy errors and omissions.
• Testing your outputs to ensure that they are in excellent working order.
• Deploying developments and monitoring uptake by the target audience.
• Using clients' feedback to inform the creation of subsequent versions of each development.
• Remaining abreast of coding and technological changes that will impact your work.

Legal decision maker

CS Experience optional