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Staff Engineer - Data Science (AI/ML, Advanced Python, Databricks & PySpark) Job Opening In Hyderabad – Now Hiring TJX Companies

Staff Engineer Data Science (AI/ML, Advanced Python, Databricks & PySpark)

    India Jobs Expertini Expertini India Jobs Hyderabad Other General Staff Engineer Data Science (Ai/ml, Advanced Python, Databricks & Pyspark)

Job description

TJX Companies

At TJX Companies, every day brings new opportunities for growth, exploration, and achievement.

You’ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development.

Whether you’re working in our four global Home Offices, Distribution Centers or Retail Stores—TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you’ll find abundant opportunities to learn, thrive, and make an impact.

Come join our TJX family—a Fortune 100 company and the world’s leading off-price retailer.

Job Description:

About TJX:
At TJX, is a Fortune 100 company that operates off-price retailers of apparel and home fashions.

TJX India - Hyderabad is the IT home office in the global technology organization of off-price apparel and home fashion retailer TJX, established to deliver innovative solutions that help transform operations globally.

At TJX, we strive to build a workplace where our Associates’ contributions are welcomed and are embedded in our purpose to provide excellent value to our customers every day.

At TJX India, we take a long-term view of your career.

We have a high-performance culture that rewards Associates with career growth opportunities, preferred assignments, and upward career advancement.

We take well-being very seriously and are committed to offering a great work-life balance for all our Associates.

What you’ll discover  

  • Inclusive culture and career growth opportunities   

  • A truly Global IT Organization that collaborates across North America, Europe, Asia and Australia, click here to learn more   

  • Challenging, collaborative, and team-based environment    
     

What you’ll do  

The Global Supply Chain - Logistics Team is responsible for managing various supply chain logistics related solutions within TJX IT.

The organization delivers capabilities that enrich the customer experience and provide business value.

We seek a motivated, talented  Staff E ngineer  with good understanding of cloud base, database and BI concepts to help architect enterprise reporting solutions across global buying, planning and allocations .

 

What you’ll need  

The Global Supply Chain - Logistics Team thrives on strong relationships with our business partners and working diligently to address their needs which supports TJX growth and operational stability.

On this tightly knit and fast-paced solution delivery team you will be constantly challenged to stretch and think outside the box .

 

You will be working with product teams,  architecture and business partners to strategically plan and deliver the product features by connecting the technical and business worlds.

You will need to break down complex problems into steps that drive product development while keeping product quality and security as the priority.

You will be responsible for most architecture, design and technical decisions within the assigned scope.

 

Key Responsibilities:  

  • Design, develop, test and deploy AI solutions using Azure AI services to meet business requirements , working collaboratively with architects and other engineers.

     

  • Train, fine-tune, and evaluate AI models, including large language models (LLMs), ensuring they meet performance criteria and integrate seamlessly into new or existing solutions.

     

  • Develop and integrate APIs to enable smooth interaction between AI models and other applications, facilitating efficient model serving.

     

  • Collaborate effectively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to deliver comprehensive AI solutions.

     

  • Optimize AI and ML model performance through techniques such as hyperparameter tuning and model compression to enhance efficiency and effectiveness.

     

  • Monitor and maintain AI systems, providing technical support and troubleshooting to ensure continuous operation and reliability.

     

  • Create comprehensive documentation for AI solutions, including design documents, user guides, and operational procedures, to support development and maintenance.

     

  • Stay updated with the latest advancements in AI, machine learning, and cloud technologies, demonstrating a commitment to continuous learning and improvement.

     

  • Design, code, deploy, and support software components, working collaboratively with AI architects and engineers to build impactful systems and services.

     

  • Lead medium complex initiatives, prioritizing and assigning tasks, providing guidance, and resolving issues to ensure successful project delivery.

     

Minimum Qualifications   

  • Bachelor's degree in computer science, engineering, or related field  

  • 8 + years of experience in data /software engineering, design, implementation and architecture.

     

  • At least 5+ years of hands-on experience in developing AI/ML solutions, with a focus on deploying them in a cloud environment .

     

  • Deep understanding of AI and ML algorithms with focus on Operations Research / Optimization knowledge ( preferably M etaheuristics / Genetic Algorithms) .

     

  • Strong programming skills in Python with advanced OOPS concepts.

     

  • Good understanding of structured, semi structured, and unstructured data, Data modelling, Data analysis, ETL and ELT .

     

  • Proficiency with Databricks & PySpark .

     

  • Experience with MLOps practices including CI/CD for machine learning models.

     

  • Knowledge of security best practices for deploying AI solutions, including data encryption and access control.

     

  • Knowledge of ethical considerations in AI, including bias detection and mitigation strategies.

     

  • This role operates in an Agile/Scrum environment and requires a solid understanding of the full software lifecycle, including functional requirement gathering, design and development, testing of software applications, and documenting requirements and technical specifications.

     

  • Fully Owns Epics with decreasing guidance.

    Takes initiative through identifying gaps and opportunities.

     

  • Strong communication and influence skills.

    Solid team leadership with mentorship skills  

  • Ability to understand the work environment and competing priorities in conjunction with developing/meeting project goals .

     

  • Shows a positive, open-minded, and can-do attitude .

     

Experience in the following technologies:  

  •  Advanced Python programming ( OOPS)  

  • Operations Research / Optimization knowledge ( preferably M etaheuristics / Genetic Algorithms)  

  • Databricks with Pyspark  

  • Azure / Cloud knowledge  

  • Github / version control  

  • Functional knowledge on Supply Chain / Logistics is preferred.

       

In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package.

TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individual's status in any group or class protected by applicable federal, state, or local law.

TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.

Address:

Salarpuria Sattva Knowledge City, Inorbit Road

Location:

APAC Home Office Hyderabad IN

Required Skill Profession

Other General


  • Job Details

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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TJX Companies adheres to the cultural norms as outlined by Expertini.

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