504 Learning Specialist jobs in India

Job Title: Cloud and MLOps Developer

Location: Bangalore

Required Skills:

• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in MLOps tools like MLflow, Kubeflow, or SageMaker Pipelines.
• Strong knowledge of Docker, Kubernetes , and container orchestration.
• Proficient in Python, Bash , and basic scripting for automation.
• Experience with CI/CD tools and version control systems (e.g., Git).
• Familiarity with data and model versioning tools like DVC.
• Good understanding of machine learning lifecycle and ML model management.
• Knowledge of networking, security, and infrastructure automation .

Role Description

We are seeking a highly skilled Machine Learning Engineer to contribute to diverse healthcare and in-house data initiatives—ranging from complex data analysis and strategic insights to predictive modeling and real-time implementations. You will work closely with cross-functional teams to deliver high-quality, data-driven solutions that drive business impact.

Key Responsibilities

• Develop, implement, and optimize machine learning models for healthcare and internal projects.
• Conduct feature engineering to improve model performance.
• Deliver real-time model predictions and ensure their smooth integration into production systems.
• Collaborate with data scientists, analysts, and product teams to understand requirements and translate them into technical solutions.
• Apply statistical techniques and data analysis to derive insights and recommendations.
• Work with Large Language Models (LLMs) , deep learning architectures, and vector databases where applicable.
• Ensure scalability, efficiency, and reliability of deployed models.

Requirements :

• 1–3 years total professional experience in data or software engineering roles.
• 6–12 months hands-on experience in AI/ML model development and deployment.
• Strong proficiency in Python (mandatory).
• Solid understanding of statistics and its application in data modeling.
• Knowledge of LLMs , deep learning models, and vector databases .
• Experience with feature engineering and implementing real-time predictions.

Dear Candidate,

Greetings from HCL Tech!

We are hiring Data scientist – Machine Learning requirement

Below is the JD for your perusal:

JD:

• Develop and implement AI models capable of accurate predictions.

• Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.

• Establish and maintain a continuous learning framework to update models based on planner feedback.

Skills:

• Expert in AI and machine learning model development

• Strong programming knowledge in Python

Rate your self on below Skils

AI models

Machine Learning

Python

If interested, kindly revert this mail with the details in the below format along with updated resume

Name

Contact Number

Email ID

Current Location

Preferred Location

Total Experience

Relevant Experience

Current Organisation

Current CTC

Expected CTC

Notice Period

Regards

Durga Karunakaran

HCL Technologies Ltd.

Job Title: Cloud and MLOps Developer

Location: Bangalore

Required Skills:

• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Proficiency in MLOps tools like MLflow, Kubeflow, or SageMaker Pipelines.
• Strong knowledge of Docker, Kubernetes, and container orchestration.
• Proficient in Python, Bash, and basic scripting for automation.
• Experience with CI/CD tools and version control systems (e.g., Git).
• Familiarity with data and model versioning tools like DVC.
• Good understanding of machine learning lifecycle and ML model management.
• Knowledge of networking, security, and infrastructure automation.

NLP Expert – Researcher/Engineer

Experience: 3–4 years

Salary Range: ₹15 – ₹30 LPA

About the Role

We are seeking an experienced NLP Expert – Researcher/Engineer to lead the design and pretraining of advanced transformer-based language models from scratch using sequential, structured data. This role demands a deep understanding of transformer architectures, strong command over the Hugging Face ecosystem, and the ability to convert complex, real-world time-series or geospatial data into meaningful natural language outputs.

You'll be working on cutting-edge applications that require bridging non-traditional inputs with natural language generation in a production-ready environment.

Responsibilities

• Architect and pretrain encoder-decoder transformer models (e.g., BERT, GPT, T5) from scratch using structured, sequential datasets.
• Design pipelines that convert non-textual data—such as spatial, temporal, or sensor-based signals—into NLP-compatible formats.
• Build end-to-end systems that generate natural language descriptions, summaries, or narratives from raw structured inputs.
• Apply rigorous model evaluation strategies and optimize for downstream language generation tasks.
• Collaborate across functions with data engineers, domain specialists, and product teams to deliver production-ready solutions.
• Stay abreast of and incorporate the latest research in NLP, pretraining strategies, and model efficiency.

Required Skills & Experience

• 3–4 years of hands-on experience in Natural Language Processing and deep learning.
• Strong expertise in Transformer-based architectures and foundational NLP theory.
• Proven experience in pretraining language models from scratch, not just fine-tuning existing ones.
• Advanced proficiency in Python, with experience in PyTorch, TensorFlow, and the Hugging Face Transformers & Datasets libraries.
• Familiarity with sequential, time-series, or geospatial data, and how to integrate such data into NLP pipelines.
• Experience with data preprocessing, including transforming unconventional inputs into model-compatible formats.
• Strong problem-solving, communication, and cross-functional collaboration skills.

Bonus Points For

• Experience in multimodal modeling (e.g., combining text, time, and spatial inputs).
• Knowledge of MLOps, model optimization, and deployment workflows.
• Contributions to open-source NLP projects or publications in peer-reviewed ML/NLP conferences.

Why Join Us?

This is your opportunity to shape how machines interpret and articulate real-world, structured data through language. If you’re passionate about building from the ground up and redefining what’s possible with NLP, we want to hear from you.

Dear Candidate,

Greetings from HCL Tech!

We are hiring Data scientist – Machine Learning requirement

Below is the JD for your perusal:

JD:

• Develop and implement AI models capable of accurate predictions.

• Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.

• Establish and maintain a continuous learning framework to update models based on planner feedback.

Skills:

• Expert in AI and machine learning model development

• Strong programming knowledge in Python

Rate your self on below Skils

AI models

Machine Learning

Python

If interested, kindly revert this mail with the details in the below format along with updated resume

Name

Contact Number

Email ID

Current Location

Preferred Location

Total Experience

Relevant Experience

Current Organisation

Current CTC

Expected CTC

Notice Period

Regards

Durga Karunakaran

HCL Technologies Ltd.

Role Description

We are seeking a highly skilled Machine Learning Engineer to contribute to diverse healthcare and in-house data initiatives—ranging from complex data analysis and strategic insights to predictive modeling and real-time implementations. You will work closely with cross-functional teams to deliver high-quality, data-driven solutions that drive business impact.

Key Responsibilities

• Develop, implement, and optimize machine learning models for healthcare and internal projects.
• Conduct feature engineering to improve model performance.
• Deliver real-time model predictions and ensure their smooth integration into production systems.
• Collaborate with data scientists, analysts, and product teams to understand requirements and translate them into technical solutions.
• Apply statistical techniques and data analysis to derive insights and recommendations.
• Work with Large Language Models (LLMs), deep learning architectures, and vector databases where applicable.
• Ensure scalability, efficiency, and reliability of deployed models.

Requirements :

• 1–3 years total professional experience in data or software engineering roles.
• 6–12 months hands-on experience in AI/ML model development and deployment.
• Strong proficiency in Python (mandatory).
• Solid understanding of statistics and its application in data modeling.
• Knowledge of LLMs, deep learning models, and vector databases.
• Experience with feature engineering and implementing real-time predictions.