The Job

Senior Data Scientist - ML, Python

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Data Engineering

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In short

We are seeking an experienced AI Application Developer / AI Engineer to design, build, and deploy end-to-end AI solutions using modern machine learning and generative AI techniques. The role involves working hands-on with data, models, and production systems to deliver scalable, reliable AI applications.

Responsibilities

  • Design, develop, and deploy end-to-end AI applications from data ingestion to production inference.
  • Build data pipelines for data preparation, feature engineering, and model training.
  • Select, train, evaluate, and optimize machine learning and deep learning models.
  • Develop APIs and services to expose AI models for real-time and batch use cases.
  • Implement monitoring, logging, and model performance tracking in production.
  • Collaborate with product, data, and domain teams to translate business requirements into AI solutions.
  • Ensure AI solutions meet enterprise standards for security, scalability, and responsible AI usage.
  • Architect and develop comprehensive Machine Learning Solutions using Tensorflow and Pytorch, collaborating with the team to ensure timely and quality delivery of both products and sustenance projects.
  • Serve as a Subject Matter Expert in Machine Learning, providing technical guidance to the team and stakeholders, ensuring projects align with industry standards and best practices.
  • Continuously upgrade knowledge by researching and integrating new Machine Learning technologies and methodologies, ensuring solutions remain current and meet evolving quality standards.
  • Mentor and conduct training sessions for team members, ensuring a robust knowledge transfer and a sufficient pool of skilled professionals in Machine Learning and related technologies.
  • Gather and analyze specifications to deliver tailored Machine Learning solutions that meet the specific needs of the client organization, leveraging a deep understanding of domain requirements.
  • Support competency development by envisioning strategic propositions, creating technical collaterals, and performing market trend analyses to position the organization as a leader in Machine Learning.
  • Recommend and implement initiatives that create client value, championing the adoption of industry best practices in Machine Learning deployment and optimization.

Requirements

  • Strong understanding of supervised and unsupervised learning techniques.
  • Experience with model training, evaluation, and tuning.
  • Ability to select appropriate algorithms based on use case and data characteristics.
  • Familiarity with evaluation metrics and model validation techniques.
  • Hands-on experience with data preprocessing, cleaning, and exploratory data analysis.
  • Strong skills in feature engineering and handling real-world data issues.
  • Proficiency in working with structured and semi-structured data from multiple sources.
  • Experience using Python libraries such as Pandas and NumPy, along with SQL.
  • Experience building applications using Large Language Models (LLMs).
  • Strong skills in prompt design, prompt optimization, and template creation.
  • Working knowledge of embeddings, vector search, and Retrieval-Augmented Generation (RAG).
  • Experience integrating LLM APIs into enterprise applications.
  • Ability to design scalable AI architectures for training and inference.
  • Experience deploying models as APIs or services (e.g., using FastAPI or Flask).
  • Understanding of model versioning, monitoring, data drift, and retraining strategies.
  • Familiarity with containerization and cloud deployment concepts.
  • Expert proficiency in Machine Learning frameworks such as Tensorflow and Pytorch.
  • Advanced knowledge of Python and Sql for developing data-driven solutions.
  • Strong understanding of data modeling, feature engineering, and algorithm selection in Machine Learning projects.
  • Excellent problem-solving skills and ability to articulate complex technical concepts to non-technical stakeholders.
  • Proven experience in leading technical teams and mentoring junior professionals.

Desired Qualifications

  • Certified Data Scientist (CDS), Tensorflow Developer Certificate, Or Professional Data Engineer Certification.

Benefits

  • HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products.
  • We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services.
  • Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.
#AI#Machine Learning#Python#Data Science#MLOps
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Company

HCLTech

Job Posted

1 week ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Noida, India

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