Job Title: Technical Lead - AI/ML

Experience Level: 5-7 Years

Mode: Work from Office (5 Days Working)

Job Type: Full-Time

Location: Agra/Noida

Job Overview:

We are looking for a motivated and experienced Tech Lead - AI/ML to join our team and drive the development of cutting-edge AI/ML solutions. This role combines hands-on technical expertise with leadership responsibilities, guiding a team to build scalable, efficient, and impactful AI/ML models. The ideal candidate should have a strong foundation in machine learning, data science, Generative AI, RAG approaches, and has deep understanding how data projects work coupled with experience leading teams or projects.

Key Responsibilities:-

Technical Leadership:

Provide technical guidance and mentorship to a team of AI/ML engineers.

Lead project planning, design reviews, and architecture discussions.

AI/ML Model Development:

Design, develop, and optimize machine learning and deep learning models to meet business objectives.

Perform feature engineering, hyperparameter tuning, and validation of models.

Generative AI and Advanced Solutions:

Implement and enhance Generative AI models such as LLMs or GANs.

Identify opportunities for using Generative AI to innovate and improve solutions.

MLOps and Deployment:

Deploy AI/ML models into production with robust CI/CD pipelines.

Monitor and maintain deployed models, ensuring performance and scalability.

Collaboration:

Work closely with product managers, data engineers, and other stakeholders to define requirements and deliverables.

Act as the technical liaison for internal and external partners.

Innovation and R&D:

Stay up to date with advancements in AI/ML technologies and incorporate best practices into projects.

Explore new tools, libraries, and frameworks to enhance team capabilities.

Required Skills and Qualifications:-

Technical Expertise:

Strong knowledge of machine learning frameworks like TensorFlow or PyTorch.

Proficiency in Python and ML libraries (e.g., Scikit-learn, Pandas, NumPy).

Experience with NLP (e.g., BERT, GPT) or computer vision models (e.g., YOLO, OpenCV).

Generative AI Knowledge:

Hands-on experience with Generative AI technologies and real-world applications.

Data Engineering and Analysis:

Proficiency in SQL and working knowledge of big data tools like Apache Spark.

Experience building data pipelines and ensuring data quality.

Deployment and Cloud Platforms:

Familiarity with Docker, Kubernetes, and MLOps tools like MLflow.

Experience with cloud platforms such as AWS, Azure, or GCP.

Soft Skills:

Strong communication and collaboration skills.

Proven ability to mentor junior engineers and lead technical teams.

Preferred Skills:

Exposure to reinforcement learning or federated learning.

Experience optimizing models for edge devices or IoT.

Knowledge of monitoring production models for drift and retraining.

[1:05 pm, 20/12/2024] QSs Ankit Office number: Hi Kavya for this role CTC will be mx 20 LPA.

[1:06 pm, 20/12/2024] QSs Ankit Office number: Please find JD for Machine Learning Engineer:-

Job Title: Machine Learning Engineer

Experience Level: 3-5 Years

Job Type: Full-Time

Location: Agra

Work Mode: Work from Office; 5 Days working

Key Responsibilities:

Data Preparation:

  Collect, clean, and preprocess structured and unstructured datasets.

  Perform feature engineering, selection, and data visualization.

Model Development:

Build and train machine learning models for supervised and unsupervised learning tasks.

Fine-tune and optimize deep learning models using frameworks like TensorFlow, PyTorch, or Keras.

Develop and implement generative AI models, such as GANs or VAEs, for specific applications.

Model Evaluation and Validation:

Evaluate models using appropriate metrics (e.g., accuracy, precision, recall, F1-score).

Perform error analysis to enhance model performance.

Model Deployment:

Develop APIs and deploy models into production using frameworks like Flask or FastAPI.

Monitor and maintain deployed models, ensuring performance and scalability.

Collaboration:

Work closely with data scientists, product managers, and software engineers to integrate AI solutions into business processes.

Participate in code reviews and maintain proper documentation.

Continuous Learning:

Stay updated with the latest AI/ML technologies, tools, and research.

Experiment with state-of-the-art models and techniques to enhance existing solutions.

Required Skills and Qualifications:

Core Technical Skills:

Proficiency in Python and machine learning libraries like Scikit-learn, Pandas, and NumPy.

Experience with deep learning frameworks (TensorFlow, PyTorch, or Keras).

Understanding of algorithms such as regression, classification, clustering, and neural networks.

Experience with generative AI models, including GANs, VAEs, or transformer-based models.

Data Handling:

Strong experience in preprocessing and handling datasets.

Familiarity with SQL and working with relational databases.

Model Deployment:

Hands-on experience deploying models using REST APIs (Flask, FastAPI).

Knowledge of Docker, Kubernetes, or cloud services like AWS/GCP/Azure is an advantage.

Soft Skills:

Strong problem-solving and analytical thinking.

Ability to communicate technical concepts to non-technical stakeholders.

Team player with experience in agile workflows and using version control systems (Git).

Preferred Skills:

Exposure to big data tools like Apache Spark or Hadoop.  

• Knowledge of reinforcement learning or generative models (GANs, VAEs).