AI Engineer

Job Title : Python Backend Lead / Senior Python Developer

Experience : 6 to 10 Years

Location : Bangalore (CV Raman Nagar)

Openings : 8

Interview Rounds : 1 Virtual + 1 In-Person (Face-to-Face with Client)

Note : Only local Bangalore candidates will be considered

About the Role :

We are seeking an experienced Python Backend Lead / Senior Python Developer to design, develop, and optimize scalable backend solutions.

The role involves working with large-scale data, building efficient APIs, integrating middleware solutions, and ensuring high performance and reliability.

You will lead a team of developers while also contributing hands-on to coding, design, and architecture.

Mandatory Skills : Python (Pandas, NumPy, Matplotlib, Plotly), FastAPI/FlaskAPI, SQL & NoSQL (MongoDB, CRDB, Postgres), Middleware tools (Mulesoft/BizTalk), CI/CD, RESTful APIs, OOP, OOD, DS & Algo, Design Patterns.

Key Responsibilities :

• Lead backend development projects using Python (FastAPI/FlaskAPI).
• Design, build, and maintain scalable APIs and microservices.
• Work with SQL and NoSQL databases (MongoDB, CRDB, Postgres).
• Implement and optimize middleware integrations (Mulesoft, BizTalk).
• Ensure smooth deployment using CI/CD pipelines.
• Apply Object-Oriented Programming (OOP), Design Patterns, and Data Structures & Algorithms to deliver high-quality solutions.
• Collaborate with cross-functional teams (frontend, DevOps, product) to deliver business objectives.
• Mentor and guide junior developers, ensuring adherence to best practices and coding standards.

Required Skills :

• Strong proficiency in Python with hands-on experience in Pandas, NumPy, Matplotlib, Plotly.
• Expertise in FastAPI / FlaskAPI frameworks.
• Solid knowledge of SQL & NoSQL databases (MongoDB, CRDB, Postgres).
• Experience with middleware tools such as Mulesoft or BizTalk.
• Proficiency in RESTful APIs, Web Services, and CI/CD pipelines.
• Strong understanding of OOP, OOD, Design Patterns, and DS & Algo.
• Excellent problem-solving, debugging, and optimization skills.
• Prior experience in leading teams is highly desirable.

About the Role

We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.

You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.

This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.

Key Responsibilities

• Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
• Train and optimize models for realistic facial reenactment and temporal consistency.
• Work with GANs, VAEs, and diffusion models for video synthesis.
• Handle dataset creation, cleaning, and augmentation for face-video tasks.
• Collaborate with the AI core team to deploy trained models in production environments.
• Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.

Required Qualifications

• B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
• Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
• Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
• Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
• Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
• Good grasp of data preprocessing, model evaluation, and performance tuning.

Preferred Skills

• Prior hands-on experience with face-swap or lip-sync frameworks.
• Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
• Knowledge of multi-GPU training and model optimization.
• Familiarity with Rust / Python backend integration for inference pipelines.

What We Offer

• Work directly on production-grade AI video synthesis systems.
• Remote-first, flexible working hours.
• Mentorship from senior AI researchers and engineers.
• Opportunity to transition into a full-time role upon outstanding performance.

Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months

Position: AIML_Python Enginner

Kothapet_Hyderabad _Hybrid.( 4 days a week onsite)

Contract to hire fulltime to client.

5+ years of python experience for scripting ML workflows to deploy ML Pipelines as real time, batch, event triggered, edge deployment

4+ years of experience in using AWS sagemaker for deployment of ML pipelines and ML Models using Sagemaker piplines, Sagemaker mlflow, Sagemaker Feature Store..etc.

3+ years of development of apis using FastAPI, Flask, Django

3+ year of experience in ML frameworks & tools like scikit-learn, PyTorch, xgboost, lightgbm, mlflow.

Solid understanding of ML lifecycle: model development, training, validation, deployment and monitoring

Solid understanding of CI/CD pipelines specifically for ML workflows using bitbucket, Jenkins, Nexus, AUTOSYS for scheduling

Experience with ETL process for ML pipelines with PySpark, Kafka, AWS EMR Serverless

Good to have experience in H2O.ai

Good to have experience in containerization using Docker and Orchestration using Kubernetes.

Job Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid

Duration: Full time

Job Summary:

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an

experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

·        Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.

·        Analyze existing data entry workflows and propose automation opportunities.

Design:

·        Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.

·        Collaborate with clients to define project scopes and objectives.

Technology Selection:

·        Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.

·        Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:

·        Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.

·        Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:

·        Work closely with clients and IT teams to integrate AI solutions effectively.

·        Provide technical support during the implementation phase.

Training and Documentation:

·        Develop training materials for end-users and support staff.

·        Create comprehensive documentation for implemented solutions.

Continuous Improvement:

·        Monitor and optimize the performance of deployed solutions.

·        Identify opportunities for further automation and improvement.

Qualifications:

·        Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).

·        Proven experience in developing and implementing AI solutions for data entry automation.

·        Expertise in NLP, LLM and other machine-learning techniques.

·        Strong programming skills, especially in Python.

·        Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

We're looking for AI/ML enthusiasts who build, not just study. If you've implemented transformers from scratch, fine-tuned LLMs, or created innovative ML solutions, we want to see your work!

Make Sure before Applying (GitHub Profile Required):

1. Your GitHub must include:

- At least one substantial ML/DL project with documented results

- Code demonstrating PyTorch/TensorFlow implementation skills

- Clear documentation and experiment tracking

- Bonus: Contributions to ML open-source projects

2. Pin your best projects that showcase:

- LLM fine-tuning and evaluation

- Data preprocessing pipelines

- Model training and optimization

- Practical applications of AI/ML

Technical Requirements:

- Solid understanding of deep learning fundamentals

- Python + PyTorch/TensorFlow expertise

- Experience with Hugging Face transformers

- Hands-on with large dataset processing

- NLP/Computer Vision project experience

Education:

- Completed/Pursuing Bachelor's in Computer Science or related field

- Strong foundation in ML theory and practice

Apply if:

1. You have done projects using GenAI, Machine Learning, Deep Learning.
2. You must have strong Python coding experience.
3. Someone who is available immediately to start with us in the office(Hyderabad).
4. Someone who has the hunger to learn something new always and aims to step up at a high pace.

We value quality implementations and thorough documentation over quantity. Show us how you think through problems and implement solutions!

bout the Role

We are seeking an experienced Python Data Engineer with a strong foundation in API and basic UI development. This role is essential for advancing our analytics capabilities for AI products, helping us gain deeper insights into product performance and driving data-backed improvements. If you have a background in AI/ML, familiarity with large language models (LLMs), and a solid grasp of Python libraries for AI, we’d like to connect!

Key Responsibilities

•   Develop Analytics Framework: Build a comprehensive analytics framework to evaluate and monitor AI product performance and business value.

•   Define KPIs with Stakeholders: Collaborate with key stakeholders to establish and measure KPIs that gauge AI product maturity and impact.

•   Data Analysis for Actionable Insights: Dive into complex data sets to identify patterns and provide actionable insights to support product improvements.

•   Data Collection & Processing: Lead data collection, cleaning, and processing to ensure high-quality, actionable data for analysis.

•   Clear Reporting of Findings: Present findings to stakeholders in a clear, concise manner, emphasizing actionable insights.

Required Skills

•   Technical Skills:

o   Proficiency in Python, including experience with key AI/ML libraries.

o   Basic knowledge of UI and API development.

o   Understanding of large language models (LLMs) and experience using them effectively.

•   Analytical & Communication Skills:

o   Strong problem-solving skills to address complex, ambiguous challenges.

o   Ability to translate data insights into understandable reports for non-technical stakeholders.

o   Knowledge of machine learning algorithms and frameworks to assess AI product effectiveness.

o   Experience in statistical methods to interpret data and build metrics frameworks.

o   Skilled in quantitative analysis to drive actionable insights.

MLSecured(https://www.mlsecured.com/) an AI GRC (Governance, Risk, and Compliance) is Hiring! a Backend Software Engineer 🚀

Are you a passionate Backend Software Engineer with experience in Machine Learning and Open Source projects? Do you have a strong foundation in Python and Object-Oriented Programming (OOP) concepts? Join us at MLSecured.com and be part of our mission to solve AI Security & Compliance challenges! 🔐🤖

What We’re Looking For:

👨‍💻 1-2 years of professional experience in Backend Development and Open Source projects contribution

🐍 Proficiency in Python and OOP concepts

🤝 Experience with Machine Learning (NLP, GenAI)

🤝 Experience with CI/CD and cloud infra is a plus

💡 A passion for solving complex AI Security & Compliance problems

Why Join Us?

At MLSecured.com, you'll work with a talented team dedicated to pioneering AI security solutions. Be a part of our journey to make AI systems secure and compliant for everyone. 🌟

Perks of Joining a Fast-Paced Startup:

🚀 Rapid career growth and learning opportunities

🌍 Work on cutting-edge AI technologies and innovative projects

🤝 Collaborative and dynamic work environment

🎉 Flexible working hours and full remote work options

📈 Significant impact on the company's direction and success

Key Skills Required :

1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Strong experience in building web applications using Django
4. Experience building REST APIs using DRF or Flask
5. Experience with some form of Machine Learning (ML)
6. Experience in using libraries such as Numpy and Pandas
7. Hands on experience with RDBMS such as Postgres or MySQL including querying
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

Responsibilities :

1. Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge
2. Building high quality code using coding standards based on the SRS/Documentation
3. Building component based, maintainable, scalable and reusable backend libraries/modules.
4. Building & documenting scalable APIs on the Open Spec standard
5. Unit testing development modules and APIs
6. Conducting code reviews to ensure that the highest quality standard are maintained
7. Securing backend applications and APIs using industry best practices
8. Troubleshooting issues and fixing bugs raised by the QA team efficiently.
9. Optimizing code
10. Building and deploying the applications